ABOUT US Malaysian Journal of Forensic Sciences, a peer-reviewed annual journal initiated by Department of Chemistry Malaysia, Royal Malaysian Police and Universiti Sains Malaysia for the Forensic Science Society of Malaysia in conjunction with the 2nd anniversary of the establishment of the Society in 2010. It is a platform for the dissemination of information and research findings from various branches of Forensic Sciences. These include criminalistics, narcotics, toxicology, DNA analysis, serology, anthropology, forensic psychology and other forensic-related fields. This Open Assess online journal, managed and maintained by Universiti Sains Malaysia, Kubang Kerian operating on an on-line submission and reviewing system welcomes manuscripts on all aspects of forensic science related article from local and international researchers. MALAYSIAN JOURNAL OF FORENSIC SCIENCES (MJOFS): MISSION STATEMENT The mission of Malaysian Journal of Forensic Sciences (MJOFS), the annual journal initiated by Department of Chemistry Malaysia, Royal Malaysian Police and Universiti Sains Malaysia is to serve as a platform for disseminating observations, findings, and views from various branches of Forensic Sciences by publishing peerreviewed articles in a balanced scientific and objective manner. EDITORIAL BOARD Advisor: Editor-in-Chief: Managing Editors: Editors: Website developer: Type-setting editor: Graphic designer: N. Hithaya Jeevan Yew Chong Hooi Primulapathi A/L Jaya Krishnan Ahmad Fahmi Lim Abdullah Mohamad Hadzri Yaacob Ng Hock Sing Noor Aidora Saedon Rosnah binti Awang Rusikah binti Minhad Zafarina Zainuddin Lim Boon Huat Mohd Nazri Mat Husin Chang Kah Haw Mohd Kamarul Zaman Ibrahim CONTACT INFORMATION Managing Editor Malaysian Journal of Forensic Sciences School of Health Sciences, USM Kubang Kerian, 16150 Kelantan, Malaysia Email: mjofseditor@gmail.com Copyright © by Publishers All right reserved. No part of the contents of this publication may be reproduced or transmitted in any form or by any means, electronic photocopying, recording, or otherwise, without written permission of the publisher. Perpustakaan Negara Malaysia – ISSN 2180-4710 i Volume 1, Number 1, October 2010 Contents A Message from the Editor-in-Chief 1 From Narcotics Case Files 2 Kee-Bian Chan, Rusyidah Abdul Rahim, Hock-Sing Ng, Khuzaida Abdul Raof More from Our Recent Case Files 6 Kee-Bian Chan, Suhana Ismail, Muzaiyanah M. Kaprawi Determination of Formaldehyde Contamination in Wiping Media Used in Trace Pseudoephedrine Analysis 12 Ahmad Fahmi Lim Abdullah, Gordon M Miskelly Forensic Light Sources for Detection of Biological Evidences in Crime Scene Investigation: A Review 17 Wee-Chuen Lee, Bee-Ee Khoo Development of Reagent Test Kit for the Enhancement of Shoeprints at Crime Scene 28 Umi Kalthom Ahmad, Noorul Huda Abdul Jabar, Chong-Hooi Yew, Noor Azmi Yusoff Skull-Photo Superimposition: A Remedy to the Problem of Unidentified Dead in Malaysia 34 P. T. Jayaprakash, Bhupinder Singh, Ridzuan Abd Aziz Mohd Yusop, Hetty Susilawati Asmuni A Review on Solid Phase Microextraction and Its Applications in Gunshot Residue Analysis 42 Kah-Haw Chang, Ahmad Fahmi Lim Abdullah Analysis of Gunshot Residue Deposited on Cotton Cloth Target at Close Range Shooting Distances 48 Mohamed Izzharif A. Halim, Umi Kalthom Ahmad, Chong-Hooi Yew, Muhammad Koey Abdullah A Study on the Age Related Retention of Individual Characteristics in Hand Writings and Signatures for Application during Forensic Investigation 54 Nataraja Moorthy T, Mohamad Mahathir Amir Sultan, Kong-Yong Wong Identifying Profile of Female Prisoners in Malaysian Prison Using Carlson Psychological Survey 60 Nurul Hazrina Mazlan, Geshina Ayu Mat Saat, Affizal Ahmad ii Malaysian Journal of Forensic Sciences, 2010, Vol.1, No. 1 A Message from the Editor-in-Chief Greetings and welcome to the inaugural issue of Malaysian Journal of Forensic Sciences. analysis of gunshot residue deposited on cotton cloth target at close range shooting distances. The inaugural edition of Malaysian Journal of Forensic Sciences has been initiated by Department of Chemistry Malaysia, Royal Malaysian Police Force and Universiti Sains Malaysia for the Forensic Science Society of Malaysia. It is an online refereed journal maintained by Universiti Sains Malaysia, Kubang Kerian which is devoted to the publication of original investigations, observations, and reviews in the various branches of forensic sciences. These include criminalistics, narcotics, toxicology, DNA analysis, serology, anthropology, forensic psychology and other forensic-related fields. Other articles focus on the use of forensic light source for biological evidence detection, the development of skull-photo superimposition as an identification technique, a study on the age related retention of individual characteristics in hand writings and signatures for application during forensic investigation, the development of reagent test kit for the enhancement of shoeprints at crime scene, and identifying profile of female prisoners in Malaysian prison using Carlson psychological survey. The journal aims to provide a platform for disseminating observations, findings, and views from various branches of forensic sciences. It establishes and maintains a review of the literature of research and practice in forensic science and crime scene related areas. It also serves as a means for critical reflection and analysis of different approaches used in the court of law. Recent trends of academic paper writing and publication reflect the fusion of ideas from diversified disciplines and research approaches. This is indeed refreshing and helps creative endeavours as the development of novel ideas depends largely on such multidisciplinary contribution with new way of looking at the same things and interpreting findings. We are happy to accept and publish traditional academic articles in written form at the beginning stage of this journal; we also specifically invite and encourage submissions on the Web. We are looking for submitters who want to participate fully in our journal as reviewers who can help review, critique, and comment on other article submitted by your peers. Most importantly, we hope to continuously improve the core publishing process of the journal to meet international journal publication standard in the near future. With active participation and contribution from all submitters and reviewers, this is achievable within a short space of time. Yew Chong Hooi In this inaugural edition there is article focusing on the unusual encounters from narcotics case files; a review on solid phase microextraction and its applications in gunshot residue analysis; a study on formaldehyde contamination in wiping media used in trace pseudoephedrine analysis, and a study on Editor-in-Chief E-mail: mjofseditor@gmail.com 31 October 2010 1 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 From Narcotics Case Files Kee-Bian Chana, Rusyidah Abdul Rahima, Hock-Sing Ngb, Khuzaida Abdul Raofc a Narcotics Section, Department of Chemistry Malaysia, Petaling Jaya, Malaysia b Department of Chemistry Malaysia (Penang branch), Penang, Malaysia c Department of Chemistry Malaysia (Kedah branch), Kedah, Malaysia ABSTRACT: This paper reported several unusual encounters over the years in the Narcotics Sections of Department of Chemistry. The first case reported a court case that led to amendment of definition of opium poppy and raw opium in the Dangerous Drugs Act. The second case reported our encounter with condom-liked packets following a surgical operation of a man suffering from severe abdominal pain, suspected to be controlled substances recovered from a body, which was subsequently identified as iguana eggs. The last case reported our experience with black gummy substance suspected to be opium which was encountered twice in our laboratories. These cases delineate the unusual side of the work with drug cases in our laboratories. Keywords: narcotics, opium, controlled substance Introduction In Malaysia the Narcotics Section at Petaling Jaya and branch laboratories examine all the drug cases submitted by law enforcement agencies for prosecutorial and investigative purposes. In this paper, we relate several unusual encounters over the years. 1. Papaver somniferrum L vs Papaver setigerum DC Raw opium smuggling was rampant in the 70’s and 80’s with most of this drug coming through the border in the north of Peninsular Malaysia. Nearly all cases were handled by the laboratory of Department of Chemistry branch in Penang since most of the arrests were made near the border and in the northern states of Penang, Perlis and Kedah. Raw opium was trafficked mostly in multiple 2kilogramme packages, wrapped with layers of rice paper and plastic sheets. The presumptive weight for trafficking in raw opium is one kilogramme which carries the death penalty on conviction. In 1984, an issue arose in the Kangar High Court over a raw opium trafficking case when the chemist of Department of Chemistry was asked whether he had ascertained that the raw opium was derived from the species Papaver somniferrum L. (PSL) and not from Papaver setigerum D.C. (PSDC). Note that at that time, the Malaysian law was explicit that only raw opium from PSL was illicit as the Malaysian Dangerous Drugs Act (1952) then defined “opium poppy” as “a plant of the species Papaver somniferrum L or the species Papaver setigerum D.C. and any plant from which morphine may be produced” and “raw opium” as “the spontaneously coagulated juice obtained from the plant Papaver somniferrum, L., which has not undergone the process necessary to convert it to medicinal opium, whatever its content of morphine”. Although it had been reported that PSDC was not known to be a source of raw opium, whether licit or illicit, the chemist in the eyes of the court could not convincingly answer the question based on the analytical tests carried out at that time [1, 2]. A literature search revealed that Japanese scientists had profiled the alkaloidal contents of PSL and PSDC and had shown that they are actually distinct [3]. Based on this literature finding, the Department of Chemistry Malaysia informed the prosecutorial authorities and the High Courts that the laboratory could carry out an alkaloid profiling to determine the source of the questioned raw opium. As a result, all the raw opium evidence had to be profiled to determine if it had come from PSL and all raw opium cases awaiting trial at the High Courts had to be returned to the laboratory for retesting. A total of 100 raw opium samples from both the fresh cases and the returned evidence were therefore profiled on their codeine, morphine, thebaine, papaverine and noscapine contents using a packed column Gas Chromatography method with amitriptyline as the internal standard [4, 5]. A brief 2 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 procedure and results of analysis of these raw opium samples is as follows: i) ii) iii) iv) v) vi) Equipment: Perkin Elmer F11 Gas Chromatograph equipped with a FID and a Hewlett Packard 3390A integrator. Column: Glass column 2m × 2mm i.d. containing a packing of 3% OV-1 on 100120 mesh Supelcoport. Temp. programme: 230°C to 280°C at a rate of 5°C/min. and held at the final temp. for 3 minutes. Internal standard: Amitriptyline HCl (Roche); morphine standard (MacFarlan Smith), all other alkaloid reference standards from Sigma. Analysis: Representative samples (ca. 2 g) were dried at 100 °C for 3 h. The dried samples were ground to a fine powder using a mortar and pestle. Duplicate samples (0.5 g) were each extracted with 25 mL of methanol-chloroform (1:1) by ultrasonication for 15 mins. One mL of this solution was mixed with 1 mL of the internal standard solution (0.60 mg/mL of amitryptyline HCl). The five principal alkaloids were quantitated simultaneously against a standard solution containing a mixture of the alkaloid reference standards. Summary of Results: Component Moisture Codeine Morphine Thebaine Papaverine Noscapine Mean 27 2.5 11.5 3 0.44 6.2 Range 15 - 39 1.6 - 4.2 6.4 - 17.4 1.6 - 5.3 0 - 1.2 2.1 - 9.6 Alkaloid profile of the 100 raw opium samples (w/w %, dry basis) In September 1984, the definition of “opium poppy” and “raw opium” were amended to obviate the chemist’s task of profiling. This amendment via Act A596 now reads: “opium poppy” means any plant from which morphine may be produced; and “raw opium” means the coagulated juice obtained from any plant from which morphine may be produced, whatever its content of morphine and in whatever form the coagulated juice is, but does not include medicinal opium. A recent work [6] provided further proof that the chemists from the laboratory of Department of Chemistry branch in Penang had not erred in their contention that the raw opium had indeed been derived from PSL. 2. The Night of the Iguana In the middle of a night, a man in extreme distress and with severe abdominal pain was rushed to the hospital. A surgical operation was performed but when he awoke from the operation, he found that he had landed in serious trouble with the law - the doctor had recovered three condom-like packets from his gastrointestinal tract and alerted the police. Two of the packets appeared to have ruptured while the third one remained intact (Fig. 1). He was held in custody while the three packets were sent to the Department of Chemistry to ascertain if they contained controlled substances. Fig. 1: One of the 3 packets recovered from the gastrointestinal tract of the man Quick screening tests were negative for common controlled substances encountered in our laboratories. It was also observed that the surface of the packets had background lines appeared to be fine blood vessels. When the initial findings were relayed to the investigating officer, the chemist was informed that the man had related the source of his misfortune:The afternoon previous to the incident, he had been urged by a friend to swallow three immature iguana eggs with a Guinness Stout® drink to improve his sex life. For comparison purpose, the chemist from our laboratory purchased some specimen of immature iguana eggs (Fig. 2) from the same vendor at Sentul market. 3 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Fig. 2: Two specimen immature iguana eggs purchased from the market Fig. 4: GC-MS chromatogram of opium-like substance with the peak at RT=21.788 min It was found that the three condom-like packets physically resembled the specimen. Both consisted of a tough elastic outer layer with a homogenous dough-like mass inside. The eggs might have been too tough to digest or caused a gastrointestinal blockage. 3. I can’t believe it’s not opium! In 2008, the Alor Setar branch laboratory of Department of Chemistry received a case comprising some black gummy substance suspected to be opium. The substance had very similar physical appearance and odour of prepared opium (Fig. 3). Fig. 3: The opium-like black sticky substance (2008) To the great surprise of the analyst, all screening tests were negative; TLC and GC-MS failed to detect any opium alkaloids. Instead, the GC-MS analysis showed a major peak (RT=21.788, Fig. 4) which its mass spectrum matched aloe-emodin from the mass spectral library (Fig. 5). Fig. 5: Mass spectra of the peak eluted at 21.788 min matched the library spectrum of aloe-emodin Merck Index indicates that aloe-emodin (Molecular structure as in Figure 4, right) occurs in the free state and as a glycoside in Rheum (rhubarb), in senna leaves and in various species of Aloe (Liliaceae) [7]. It is freely soluble in hot alcohol, in ether, in benzene with yellow colour, in ammonia water and in sulfuric acid with crimson colour [7]. This compound has been reported to have antitumor, genotoxicity, antioxidation, and antibacterial effects [8, 9] and can be used as laxative. The substance was suspected to be derived from the sap of the Aloe plant; however, this could not be confirmed due to the lack of an authenticated sample and literature data. About 30 years earlier, the Penang branch laboratory of Department of Chemistry had encountered a similar case in which several large tins of an opium-like substance were seized from an abandoned boat thought to have come from Myanmar (Burma). Screening tests and TLC ruled out the presence of opium (Note that GC-MS was not available then). A hint to the identity of the substance came from a note in the cabin which bore the word “aloes”. 4 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Conclusion 5. We report some of the rare encounters over the years in our narcotics laboratories. These unusual experiences undoubtedly make our life as chemists more colourful besides performing routine narcotics laboratory analysis. 6. References 1. 2. 3. 4. MJ de Faubert Maunder. (1975). Field and laboratory tests for raw and prepared opium. Bulletin on Narcotics. 27(1): 71-76. HY Lim, SY Kwok. (1981). Differentiation and comparison of raw, prepared and dross opium. Bulletin on Narcotics. 33(1): pp.31-41. Haruyo Asahina et al. (1957). Studies of poppies and opium. Bulletin on Narcotics. 2033. Dmytro Furmanec. (1974). Quantitative gas chromatographic determination of the major alkaloids in gum opium. Journal of Chromatography. 89: 76-79. 7. 8. 9. F Van Vendeloo et al. (1980). Fingerprint analysis of illicit heroin samples by gas chromatography. Pharmaceutisch Weekblad Scientific Edition. 2(5): 129-136. S Panicker et al. (2007). Quantitation of the major alkaloids in opium from the Papaver Setigerum DC. Microgram Journal. 5(1-4): 13-19. The Merck Index, 13th Edition (2001), pp. 56. H.Z. Lee, S.L. Hsu, M.C. Liu and C.H. Wu. (2001). European Journal of Pharmacology. 431: 287–295. Zaffaroni, M et al. (2003). High-performance liquid chromatographic assay for the determination of Aloe Emodin in mouse plasma. Journal of Chromatography B. 796 (1): 113-119. Additional information and reprint requests: Chan Kee Bian (E-mail: kbchan@kimia.gov.my) Narcotics Section Forensic Division Chemistry Department of Malaysia 46661 Petaling Jaya, Selangor, Malaysia 5 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 More from Our Recent Case Files Kee-Bian Chana, Maimonah Sulaimana, Suhana Ismaila, Muzaiyanah M. Kaprawia a Narcotics Section, Department of Chemistry Malaysia, Petaling Jaya, Malaysia ABSTRACT: This paper further reports some of the recent interesting cases encountered in our drug laboratories. Six cases relating to the analysis of unknown substances are presented in the first part. In two of these, we report our first encounter with the plant material khat and “ma huang” (ephedra). In the second part we report a case involving concealed packets recovered from the gastrointestinal tract of an Iranian body packer where we found a raw opium drug packet among the other 99 packets of crystalline methamphetamine hydrochloride. These cases reflect the significant challenges faced by our forensic drug chemists while at the same time they provide a welcome relief to the tedium and monotony of the mundane daily work. Key words: narcotics, controlled substance, methamphetamine, khat, cathinone Introduction The Narcotics Section of Department of Chemistry Malaysia at Petaling Jaya and branch laboratories examine all the drug cases submitted by law enforcement agencies for prosecutorial and investigative purposes. We received samples of all kinds and some unusual encounters related to our routine work were reported earlier. In this paper, we further report some unknowns submitted to us for characterization and a recent unusual case of opium smuggling through the airport. a) The Unknowns Case 1 (2005) Owing to the nature of the work and the samples handled, our forensic drugs laboratories very rarely handle work from the private sector. We report a strange case here: - A middle-aged man presented some white crystalline substance to our laboratory for analysis. The wife, who had been in good health, had suddenly died of a heart attack a few days earlier. A few weeks before the incident, the couple had newly employed a maid to help with the household chores. While they had no problem with the maid and were quite happy with her work, the husband could not help thinking that there might be a connection between the maid and his wife’s sudden death. He became more suspicious when he found a small plastic packet of white crystalline substance in the maid’s drawer. We screened the substance using Marquis, sodium nitroprusside and Janovsky tests. The results of these tests were negative and we ruled out the presence of opiates, methamphetamine and other amphetamine type stimulants (ATS), or ketamine. The substance dissolved readily in water giving an acidic solution – indicating possibly an inorganic substance. Further analysis and material characterization by X-Ray Diffraction Analysis (XRD), Fourier Transform Infrared Spectroscopy (FTIR) looking at its organic materials and Scanning Electron Microscopy (SEM) identified the substance to be alum, a relatively harmless chemical and thus ruling it out as a smoking gun. Case 2 (2005) The police seized a plastic packet of white crystalline substance from a lady going through airport immigration. She was detained for possession of the substance suspected to be a controlled substance and a sample was submitted to our laboratory for analysis. We conducted various colour tests routinely used for common controlled substances followed by FTIR and SEM analysis. The substance was determined to be sodium borate (borax). Case 3 (2007) An off-white powder was found strewn on the grassy open ground in the vicinity of a methamphetamine clandestine laboratory. The substance was submitted to the laboratory for further determination. Initial visual examination indicated the substance could have been there and exposed to the elements for some time. The substance was probably insoluble in water as it had not been washed away during tropical rain. Our intuition told us that it is unlikely to be methamphetamine hydrochloride salt produced by the clandestine laboratory or a methamphetamine-related precursor such as pseudoephedrine or ephedrine powder since they would be too valuable to be discarded. Initial guess of the identity of this unknown was either diatomaceaous earth or fuller's earth and it 6 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 had been utilized as a filtration or cleaning aid. The SEM trace of this substance (Fig. 1) resembled that of feldspar’s which was provided by UNODC (Vienna). Note that Feldspar is the mineral name given to a group of minerals distinguished by the presence of aluminum (Al) and the silica ion (SiO4) in their chemistry. Fig.1: SEM trace of the off-white unknown Case 4 (2010) A consignment of fresh plant material seized by the customs was submitted to our laboratory. The plant material was extracted with a dilute hydrochloric acid solution and filtered. The filtrate was then basified and the analyte extracted into chloroform for identification by gas chromatography-mass spectrometry (GC-MS) Fig. 2: GC-MS chromatogram of plant material extracts [1, 2]. GC-MS chromatogram showed a major peak at R.T =5.77 min (Fig 2) and our mass spectra library search result matched cathinone (Fig. 3). The plant was identified as khat (Catha Edulis) which contained the controlled substance cathinone [1-3], a compound that is not found in other members of the genus [4]. This is the laboratory’s first encounter of khat. Fig. 3: Mass Spectrum of cathinone showing m/z 44 as the base peak 7 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 Several drums of a light brownish substance labeled “sodium D-pantophenate” in a very large methamphetamine clandestine laboratory was identified by GC-MS and FTIR as αacetylphenylacetonitrile (Fig. 4 and Fig. 5). The IR spectrum of the unknown (Fig. 6) matched the αacetylphenylacetonitrile reference IR spectrum from the HR Toronto Forensic Library. Fig. 4: TIC of unknown (Top) and MS of the peak at 6.67 min (Bottom). Fig. 5: MS of peak at 6.76 min (Top) and MS of αacetylphenylacetonitrile from NIST library (Bottom) Case 5 (2006) Fig. 6: IR spectrum of the unknown (α-acetylphenylacetonitrile) Pure α-acetylphenylacetonitrile has a melting point of 86-89 °C [5]. This chemical, also known as αacetylbenzylcyanide, can be easily converted to phenyl-2-propanone, a common precursor for the synthesis of methamphetamine [6]. As expected from the utilization of this precursor the methamphetamine hydrochloride produced at this clandestine laboratory was determined by our in-house chiral HPLC procedure to be a racemic mixture of the dextro and levo enantiomers (Fig. 7). 8 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 Fig. 7: HPLC trace showing the racemic methamphetamine HCl found at the clandestine laboratory. Case 6 (2010) Some dried stringy plant material (Fig. 8) suspected by the law enforcement to contain a controlled substance was submitted to the laboratory for analysis. On examination the plant material was found to be “ma huang” or ephedra. A GC-MS screen confirmed the presence of ephedrine/pseudoephedrine and methylephedrine [8]. Fig. 8: Dried “ma huang” (Ephedra) b) The Black Pearl (2010) The practice of body packing is defined as the trafficking of illicit drugs within the gastrointestinal tract or vagina. In view of the difficulty of its detection and the potentially large financial gain it is a popular way of smuggling drugs. Body packers are also called “swallowers”, “internal carriers” and “mules”. The body packer usually carries about 1 kg of the drug, divided into 50-100 packets of 8-10 g each, although persons carrying more than 200 packets have been reported [9]. Packets swallowed are usually around 2 cm in size and spherical in shape while rectally inserted packets are bigger [10]. We have encountered quite a number of drug cases involving “swallowers” in Malaysia since the late 1980s. These cases usually 9 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 involved heroin, cocaine, and more recently crystalline methamphetamine hydrochloride. In a recent case, the police submitted 100 such concealed packets which were suspected to contain crystalline methamphetamine (Fig. 9). These were recovered from the gastrointestinal tract of an Iranian swallower detained at the airport and were probably not machine made as their size and shape were not quite uniform [11]. Colour tests, GC-MS, FTIR-ATR and gas chromatography-flame ionization detector (GC-FID) confirmed the packets (of mean weight ca.12 g) to contain methamphetamine hydrochloride of about 98% purity. However, one of the packets was found to contain a black gummy substance consistent with the appearance and odour of raw opium. The Marqius and Froehde reagents tested positive for opiates while the ferric chloride test indicated the presence of meconic acid which is present in both prepared and raw opium. The 2N hydrochloric acid and Thin Layer Chromatography (TLC) tests (positive for porphyroxine) showed the substance to be raw opium. A GC-MS analysis confirmed the presence of the five principal opium alkaloids, namely the codeine, morphine, thebaine, papaverine and noscapine in the material (Fig. 10). In addition, the relatively high papaverine content of this raw opium sample indicated that it was not of the South East Asian type (Fig. 11) and had probably originated from another region. From our experience, raw opium from Iran (which shares a border with Afghanistan) has a relatively high papaverine level. This finding thus corroborated the law enforcement’s information that the concealed drugs originated from Iran. This is the first case to have found raw opium in a body packer since it is rarely reported elsewhere due its considerably lower financial value compared to drugs like methamphetamine, cocaine and heroin. Fig. 10: GC-MS chromatogram of the concealed raw opium showing a pronounced papaverine peak at R.T = 14.003 min Fig. 11: GC-MS chromatogram of raw opium of South East Asian origin showing a papaverine peak with low intensity. Conclusion We report some most recent cases involving the analysis of unknown materials submitted to our laboratories. This reflects the nature of the work in our laboratory. It also delineates the importance of experience and common sense in the drugs laboratory and how the information obtained from various analyses can help in law enforcement investigations. They help illustrate that drug analysis can be an exciting and challenging field. References 1. 2. Fig 9: Some of the packets recovered from gastrointestinal tract (markings made by investigating officer) 3. M Lee. (1995). The identification of cathinone in khat (Catha Edulis): A time study. Journal of Forensic Sciences. 40(1): 116-121. J Chappell, M Lee. (2010). Cathinone preservation in khat evidence via drying. Forensic Science International. 195(1): 108-120. T. Lehmann, S. Geisshüsler, R. Brenneisen. (1995). Rapid TLC identification test for khat (Catha edulis). Forensic Science International. 45(1-3): 47-51. 10 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 4. 5. 6. 7. 8. 9. L. Ripani, S. Schiavone, L. Garofano. (1996). GC/MS identification of Catha edulis stimulantactive principles. Forensic Science International. 78(1): 39-46. http://chemfinder (Assessed: 10 April 2010). Mike White. (2004). FSS Report on methamphetamine chemistry, seizure statistics, analysis, synthetic routes and history of methamphetamine manufacture in UK and the USA for the ACMD working group. Y Makino et al. (2002). Impurity profiling of ephedrines by HPLC. Journal of Chromatography A. 947: 151-154. JF Cui, TH Zhou. (1991). Analysis of alkaloids in Chinese Ephedra species by gas chromatographic methods. Phytochemical Analysis. 2: 116-119. S.J. Traub, RS Hoffman, LS Nelson. (2003). Body packing – the internal concealment of illicit drugs. New England Journal of Medicine. 349: 25192526. 10. Hergan K, Kofler K, Osier W. Drug smuggling by body packing: what radiologists should know about it. European Radiology. 736-742. 11. N. Bulstrode, F. Banks, S. Shrotria. (2002). The outcome of drug smuggling by 'body packers' -the British experience. Annals of the Royal College of Surgeons of England. 84: 35–38. Additional information and reprint requests: Chan Kee Bian (Email: kbchan@kimia.gov.my) Narcotics Section Forensic Division Chemistry Department of Malaysia 46661 Petaling Jaya, Selangor, Malaysia 11 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 Determination of Formaldehyde Contamination in Wiping Media Used in Trace Pseudoephedrine Analysis Ahmad Fahmi Lim Abdullaha, Gordon M Miskellyb a Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia Forensic Science Programme, Department of Chemistry, The University of Auckland, Private Bag 92019, Auckland, New Zealand b ABSTRACT: Pseudoephedrine can be used to measure the level of contamination and to evaluate the effectiveness of decontamination for surfaces at a clandestine laboratory which has been contaminated during its operations. Surface wiping using appropriate wiping media have been suggested by cleanup guidelines. Some wiping vehicle used for low levels of pseudoephedrine showed possible formaldehyde contamination that leads to the detection of a pseudoephedrine-formaldehyde adduct upon GC-MS analysis. A spectrofluorometric method based on the Hantzsch reaction was used to quantify extractable formaldehyde from cotton wool, Whatman 40 and Sartorious filter papers. Formaldehyde was initially present in all the wiping media at levels up to almost 1.0 g per filter, but a detergent wash greatly reduced the level of formaldehyde contamination. Formaldehyde levels slightly increased when washed and dried wiping media were exposed to laboratory air for a period of 18 h to 48 h, whereas a control in a clean sealed bottle showed no increase. Therefore, materials used as surface wiping media must be properly treated or protected against formaldehyde contamination if pseudoephedrine is to be recovered and analysed underivatised using GC-MS. Keywords: formaldehyde, pseudoephedrine, wiping media, contamination, surface Introduction Pseudoephedrine [1] is one of the more common starting materials for clandestine methamphetamine synthesis, especially via the red phosphorus method [2, 3]. Although methamphetamine is the principal indicator for contamination assessment at a clandestine laboratory, pseudoephedrine can also be used for this role, especially when has been used as the sole precursor in a methamphetamine synthesis or in a situation when the synthesis process has not completely converted the precursor to methamphetamine. Since extraction of pseudoephedrine from pharmaceutical preparations may be performed in a separate precursor chemical extraction laboratory from where the actual methamphetamine synthesis occurs, possibly as a means to avoid being detected by law enforcement personnel, the presence of only pseudoephedrine on surfaces of a suspected clandestine laboratory may indicate that it was an extraction laboratory. Upon remediation of a former clandestine laboratory, pseudoephedrine can be used in addition to methamphetmine as a surrogate analyte to measure the effectiveness of decontamination, and therefore to aid in the determination of whether the property is considered adequately clean and safe for subsequent occupancy. Overseas clandestine laboratory cleanup guidelines recommend wipe samples to be taken from various surfaces of the structure before and after the cleanup when necessary [e.g. 4, 5, 6]. This implies that surface wiping is a vital step in the evaluation of the level of contaminants actually present [7]. A few criteria must be met when selecting a wiping vehicle – it must hold solvent, its matrix should not interfere with GC-MS identification, and it should not fall apart during the extraction process. Whatman 40 filter paper, Sartorius 1388 filter paper, cotton wool, and WEBCOL® skin cleansing alcohol swabs were potential candidates as wiping vehicles. However, when low levels of pseudoephedrine were recovered from such media and analysed underivatised by GC-MS in our laboratory, the results indicated there might be contamination from the wiping media since the chromatograms showed a peak with similar retention time and mass spectrum to that reported earlier for the pseudoephedrine-formaldehye derivative [8-10]. Several authors have reported that pseudoephedrine or ephedrine can react with aldehydes or ketones to form oxazolidines [8, 9, 11]. The formaldehyde-based oxazolidines have almost identical retention times to the parent drugs, but their mass spectra show a base ion at m⁄z 71 rather than the m⁄z 58 characteristic of the parent drugs when analysed underivatised by GC-MS [7, 10]. Formaldehyde is a ubiquitous contaminant, and so wiping media such as filter papers may contain or accumulate formaldehyde. 12 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 We conducted a study to qualify and quantify formaldehyde present in the wiping media based on the Hantzsch reaction of formaldehyde and acetylacetone (2, 4-pentanedione) in the presence of ammonia to give a di-acetyldihydropyridine (Fig. 1). The di-acetyldihydropyridine fluoresces so that trace formaldehyde can be determined using a spectrofluorometer [12]. Fig. 1: Hantzsch reaction Materials and Method All chemicals were of analytical grade and were used as received. Water for solution preparation and rinsing of wiping media was from a Milli-Q purification system. Wiping materials selected were Whatman 40 filter paper, Sartorius 1388 filter paper, and cotton wool. WEBCOL® skin cleansing alcohol swabs were excluded from further investigation as it is wetted with iso-propanol. The procedure used for the fluorometric analysis of formaldehyde was based on that reported by Belman [12]. (i) A working solution for the analysis was prepared by mixing equal volumes of 2.0 mol/L ammonium acetate solution (adjusted to pH 6) and 0.02 mol/L acetylacetone solution (adjusted to pH 6). Standards in the range 0 – 2.0 µg of formaldehyde were prepared by adding 5.0 mL of the working solution, the appropriate volume of 1.0 mg/mL formaldehyde solution, and making the volume to 10.0 mL with water. Each solution was then mixed, capped, and heated at 37-38°C for 1 h. All the tubes were then cooled to room temperature prior to analysis. A Hitachi F-2000 spectrofluorometer was used for the analysis with ex = 410 nm, em = 515 nm, and 10 nm bandwidth. (ii) Sample preparation Triplicates of cotton wool, Whatman 40 filter paper, and Sartorius 1388 were prepared (see sections (a), (b) and (c)): 5.0 mL of the above working solution were then transferred into each of nine clean dry test tubes. Cotton wool (about 0.5 g) was put into each of three tubes, two pieces of Whatman 40 filter paper (5.5 cm in diameter) were put into each of three tubes, and two pieces of Sartorius 1388 (5.5 cm in diameter) were put into each of three tubes. All the tubes were made to 10.0 mL with water, capped and heated at 37-38°C for 1 h, they were then cooled to room temperature before measuring the fluorescence response. a) Measurement of formaldehyde in untreated cotton wool and filter papers Measurement of formaldehyde in untreated cotton wool (ca 0.5 g), Whatman 40 filter paper (5.5 cm in diameter) and Sartorius 1388 filter paper (5.5 cm in diameter) were performed as described above. b) Washed cotton wool and filter paper To remove any formaldehyde in the cotton wool, Whatman 40 and Sartorius 1388 filter papers, they were soaked in 5% Decon 90 for 30 min, sonicated for 10 min, then rinsed thoroughly with Milli-Q water, and dried at 50ºC in an oven. They were then reanalysed for formaldehyde as described in (ii). c) Effect of exposure of Sartorius 1388 filter paper to laboratory air Sartorious 1388 filter papers were cleaned and dried as described above, then they were exposed in two separate laboratories with a control in a sealed glass bottle over a period of 18 h to 48 h. The filter papers were then analysed for formaldehyde as described in (ii). Results and Discussion The calibration curve was linear over the range 0 to 0.2 µg formaldehyde in 10 mL solution. Formaldehyde was present in all the three sampling media in quantities up to almost 1.0 g per filter, Table 1, with Sartorius 1388 filter paper having the most formaldehyde. The presence of formaldehyde in some paper products has been reported previously [13, 14]. The Decon 90 wash reduced 13 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 the amount of formaldehyde in all samples, particularly for the Sartorius 1388 filter paper, Table 1. The effect of exposure to formaldehyde in the laboratory atmosphere was also examined. Sartorious 1388 filter paper was chosen for further investigation as it showed the least amount of formaldehyde after the washing process, plus it is durable to the washing and the base extraction process used for pseudoephedrine wipe analysis (with 4% NaOH solution and n-hexane). Exposure of cleaned Sartorius 1388 filters to a new (< 2 years) laboratory and an old laboratory led to slight increases in formaldehyde detected in the exposed samples from both laboratories, whereas the control showed no increase, Table 2. The sample labeled “re-used” in the table refers to Sartorius 1388 filter papers that had been previously used for pseudoephedrine extraction, which had then been cleaned and dried before performing the formaldehyde determination. Only a trace amount of formaldehyde was detected in this sample. Table 1: Amount of formaldehyde in the tested wiping materials Amount (µg) Untreated Washed 0.254 0.093 0.361 0.188 0.858 0.040 Samples Cotton wool (0.5 g) Whatman 40 (2 pcs of 55 mm diameter) Sartorius 1388 (2 pcs of 55 mm diameter) Table 2: Amount of formaldehyde in the tested wiping materials after exposure to ambient air Sartorius 1388 Filter Paper Untreated (control) Clean and dried (control) Clean and dried , exposed 18 h in old laboratory Clean and dried , exposed 18 h in new laboratory Clean and dried , kept 18 h in capped bottle (control) Clean and dried , exposed 48 h in old laboratory Clean and dried , exposed 48 h in new laboratory Clean and dried , kept 48 h in capped bottle (control) Re-used, clean and dried We have reported earlier that when pseudoephedrine-containing samples that has been exposed to formaldehyde were analysed underivatised using GC-MS, a peak eluted at a Amount (µg) 0.893 0.106 0.236 0.203 0.089 0.258 0.276 0.107 0.058 retention time which was extremely close to that of pseudoephedrine but that had m/z 71 as its base peak [10], Fig. 1, rather than the m/z 58 which is expected for pseudoephedrine [15], Fig. 2. Fig. 1: GC-MS mass spectrum of pseudoephedrine-formaldehyde adduct 14 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 Fig. 2: GC-MS mass spectrum of pseudoephedrine This altered GC-MS behavior of pseudoephedrine in the presence of a formaldehyde source has previously been reported to have led to the misidentification of pseudoephedrine as phenmetrazine [8]. Furthermore, Lewis et al. [9] have reported that the presence of formaldehyde in solvents or specimens during pseudoephedrine urinalysis leads to oxazolidine formation. Thus, formaldehyde-contaminated surfaces or wiping materials can lead to the observation of the formaldehyde adduct of pseudoephedrine when wipe samples are analysed [7, 10]. The formation of the pseudoephedrine-formaldehyde adduct could occur via the reaction pathway in Fig. 3 as has been proposed earlier [9, 10]. H OH H H OH N CH 3 H + CH3 H -O N O CH3 H Pseudoephedrine CH3 Formaldehyde -H H 1 2 O H OH 5 N 3 4 -H CH 3 H2 O N -H2O CH 3 CH3 CH3 (+)-3,4-Dimethyl-5-phenyl-1,3-oxazolidine Fig. 3: Reaction of pseudoephedrine with formaldehyde 15 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 Conclusion Since formaldehyde is potentially present in built environments, sample collecting vehicles, glassware and solvent used in pseudoephedrine extraction must be protected against formaldehyde contamination. Our results show that Sartorius 1388 filter paper was suitable as the wiping vehicle for pseudoephedrine surface recovery experiments, although similar filter papers should also be suitable following appropriate washing to remove formaldehyde. When used for collecting low level pseudoephedrine intended for GC-MS analysis, wipe materials should be pre-cleaned with Decon90, dried and wrapped with aluminium foil prior to use. 7. 8. 9. Acknowledgements Mr Glenn Boyes is thanked for the technical advice in fluorometric analysis, and scientists from ESR Ltd. for useful advice and material support. 10. References 11. 1. 2. 3. 4. 5. 6. Salocks, C. and K.B. Kaley. (2003). Technical Support Document: Toxicology Clandestine Drug Labs/ Methamphetamine. Ephedrine and Pseudoephedrine. 1(13): www.oehha.ca.gov/public_info/pdf/TSD%20E phedrine%20Meth%20Labs%2010'8'03.pdf. Skinner, H.F. (1990). Methamphetamine Synthesis via Hydriodic Acid/Red Phosphorus Reduction of Ephedrine. Forensic Science International. 48: 123-134. Chan, K., et al. (2009). Types of Clandestine Methamphetamine Laboratories Seized in Malaysia. Department of Chemistry Malaysia. Guidance and Standards for Cleanup of Illegal Drug-Manufacturing Sites (FINAL). (2004). Alaska Department of Environmental Conservation: http://dec.alaska.gov/spar/perp/docs/druglab_g uidance.pdf. Clandestine Drug Lab General Cleanup Guidance (July 1, 2006 Version). (2006) Minnesota Department of Health, Minnesota Pollution Control Agency: www.health.state.mn.us/divs/eh/meth/lab/guid ance0606.pdf. Clandestine Drug Lab Program, Guidelines for Environmental Sampling at Illegal Drug 12. 13. 14. 15. Manufacturing Sites. 2005, Washington State Department of Health: http://www.doh.wa.gov/ehp/cdl/guideenvirsamp.pdf. Abdullah, A.F.L. and G.M. Miskelly. (2010). Recoveries of Trace Pseudoephedrine and Methamphetamine Residues from Impermeable Household Surfaces: Implications for Sampling Methods Used During Remediation of Clandestine Methamphetamine Laboratories. Talanta. 81: 455-461. Lambert, E.E.W. (2004). Phenmetrazine or Ephedrine? Fooled by Library Search. Journal of Chromatography A. 1045: 259-262. Lewis, R. (2000). Formation of an Interfering Substances, 3,4-Dimethyl-5-Phenyl-1,3Oxazolidine, During a Pseudoephedrine Urinalysis. Journal of Forensic Sciences. 45(4): 898-901. Miskelly, G.M. and A.F.L. Abdullah. (2009). Formation of Trifluoroacetylated Ephedrine During the Analysis of a Pseudoephedrine formaldehyde Adduct by TFAA Derivatization Followed by GC-MS. Journal of Forensic Sciences. 54(2): 365-367. Neelakantan, L. (1971). Asymmetric synthesis II. Synthesis and Absolute Configuration of Oxazolidines Derived from (-)Ephedrine and Aromatic Aldehydes. Journal of Organic Chemistry. 36: 2256-60. Belman, S. (1963). The Fluorimetric Determination of Formaldehyde. Analytica Chimica Acta. 29: 120-126. Fisher, A.A., N.B. Kanof, and A.M. Biondi. (1962). Free Formaldehyde in Textiles and Paper -Clinical Significance. Archieves of Dermatology. 86: 753-756. Möller, B. and A. Hensten-Pettersen, Biological Evaluation of Absorbent Paper Points. International Endodontic Journal. 18 (3): 183-186. Smith, R.M. (2005). Understanding Mass Spectra: A Basic Approach. 2 ed. Hoboken, N.J: Wiley Interscience. Additional information and reprint requests: Ahmad Fahmi Lim bin Abdullah (E-mail: fahmilim@kb.usm.my) Forensic Science Programme School of Health Sciences Universiti Sains Malaysia 16150 Kubang Kerian, Kelantan, Malaysia 16 Malaysian Journal of Forensic Sciences, 2010, Vol 1 Forensic Light Sources for Detection of Biological Evidences in Crime Scene Investigation: A Review Wee-Chuen Leea, Bee-Ee Khooa a School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia ABSTRACT: Identification of biological evidences, such as blood, semen, saliva and urine, are important for crime scene investigation. Forensic light sources have been used for detection of biological evidences, where this method is a simple, presumptive, non-destructive test and applicable for detecting most types of biological evidences. Biological evidences can be detected by forensic light source due to their natural characteristic, such as light absorption (blood) or fluorescence effect (semen, saliva and urine). Biological evidences on different materials would have different effect in detection, where materials with high absorbent or exhibit strong fluorescence would affect the detection of biological evidences. This paper reviews on the methods and limitation of detecting biological evidences by forensic light source and provide the recommendations for improving the detection techniques using forensic light source. Keywords: Forensic light source, biological evidence, blood, semen, urine, saliva Introduction Biological evidences such as blood, semen, saliva and urine are among the most important evidences in crime scene investigation [1]. Valuable information can be obtained from the biological evidences found, such as DNA evidence for the identification of the victims and suspects and the bloodstain pattern for the determination of the sequence of events [1]. Several methods have been developed for the identification of these biological evidences, which can be divided into presumptive tests and confirmatory test. Presumptive tests are just screening tests, whereas confirmatory tests will conclusively identify the species of the particular evidence [1]. However, most of the tests are destructive test, where the DNA evidence would be destroyed, and some tests can only be carried out in a laboratory [1]. One of the simplest presumptive tests that can be used to determine most of the biological evidence is forensic light source (FLS) [1]. FLS is a term used commonly to refer to an illumination system adapted in forensic application, such as laser and high-intensity filtered lamps [2]. A non-laser FLS is sometimes referred as an alternative light source (ALS) [2]. FLS can either make the evidence fluorescence or enhance the contrast of the evidence against the background [3]. Fluorescence happens when the FLS emitted to the biological evidences, such as semen, saliva and urine, where these fluids absorbed light at particular wavelength and then re-emits the absorbed energy as light at a longer wavelength [2]. Besides, FLS can be used to enhance contrast of bloodstain on dark surfaces, where the stain is not visible to naked eye, such as bloodstain [3]. The maximum detectable dilution of biological stains by FLS was relatively lower compared to chemical based method, such as luminol for bloodstains, where maximum detectable dilution of bloodstains was 1/1000 using Polilight® [4], whereas luminol sensitivity was up to 1/5000000 [5]. However, since no chemical was required and it was easy to use, FLS was commonly used in crime scene investigation as a scanning tool. Besides, most of the FLS was used to enhance the biological stains towards its background for photography purposes. Moreover, FLS was suitable in detecting various types of biological evidence [1]. This paper reviews the methods of detection using FLS, brief overview of different types of available FLS and also the effects of biological evidences on different surfaces towards the detections. This paper is organized as follows: Introduction of the responses of biological evidences, such as blood, semen, saliva and urine towards different light wavelength of FLS. Discussion of the detection of biological evidences using different types of FLS. The comparisons between each FLS that have been reported in literature in discussed in this section. Summary of the effects of biological evidences on different surfaces towards their detections using FLS. This section reported the maximum 17 Malaysian Journal of Forensic Sciences, 2010, Vol 1 detectable dilution of biological evidence on different surfaces using FLS that were found in literature. Responses of Biological Evidences towards FLS absorb certain wavelength of light, excitation spectrum, and re-emit a longer wavelength of light, emission spectrum [2,4]. Stoilovic [6] reported that the emission spectrum of semen stain was covering the region of 400nm-700nm with the excitation spectrum measured in 300-480nm by Polilight®, as shown in Fig. 2. (a) Blood Untreated dry blood does not show a significant fluorescence effect but it has a high absorption in a very broad region of light wavelength from 300900nm, which cover the entire light wavelength, including UV, visible (VIS) and IR light [6]. Hence, bloodstain will occur as a dark spot when it was exposed to any type of light. Most of the FLS were able to enhance the contrast of bloodstain towards its background, especially on dark background [113]. Bloodstain would appear to be brighter against a dark background [2]. Along the high absorption region, the strongest absorption band occurred in a narrow band of 395nm to 435nm, with the maximum absorption at 415nm due to the presence of haemoglobin, as shown in Fig. 1 [6]. Background correction method was proposed to further enhance the dry untreated blood towards the background using this narrow wavelength of light [11,12]. In their experiment, the light source used was Rofin PL-10 Polilight, which is a high intensity xenon lamp with selectable narrow bandpass filters. These bandpass filters can be adjusted to emit the light with peak at 435nm, 415nm and 395nm. Due to the difference in absorption between 395nm, 415nm and 435nm light, this method can enhance the bloodstain images that are unclear even at 415nm, where the background exhibits almost the same absorption of light [11,12]. Fig. 1: Absorption Spectrum of Dry Blood [6] (b) Semen Untreated dry semen is a very strong photoluminescence substance [6], where it would Fig. 2: Photoluminescence spectra of dry untreated semen [6] By supplying the specific excitation light with appropriate goggles or filters, semen stain can be clearly observed due to the photoluminescence effect of semen. Goggles were used to filter out strong excitation wavelength and only allowed the emission wavelength to pass through [6]. Table 1 summarized the procedures for detection of untreated semen stain using different types of excitation light with the appropriate goggles or filter, which was reported by Stoilovic [6]. The test was run from the combination of UV light without goggles to the combination of green-yellow light with violet filter. Suitable light with goggles combination was chosen when the background was not photoluminescence during observation [6]. In a more recent paper reported by Nelson and Santucci [14], a test to determine the best combination exciting wavelength and goggles for viewing semen stains was done using Omniprint 1000, an adjustable wavelength light source with narrow band increments (30-40nm) between 320nm to 510nm and different coloured goggles, which were yellow, orange and red goggles. The best fluorescence effect of semen stains was found at the wavelength of 420nm and 450nm, observed with human eyes through orange goggles. It was also reported that semen stains would appear as a yellow-greenish stains when exposed to a continuous green beam at 532nm wavelength. These continuous green beam was generated from a laser’s type FLS, Spectra-Physics® RevealTM, and the semen stains observed through a orange laser safety goggles that block 532nm wavelength [9]. 18 Malaysian Journal of Forensic Sciences, 2010, Vol 1 Table 1: Excitation light with appropriate goggles for untreated semen stains detection recommended by Stoilovic [6] Excitation light UV Violet Blue Green Green-yellow Green-yellow Goggles/Filters No goggles needed, but recommended to wear UV safety goggles Yellow goggles Yellow goggles Orange goggles Red goggles Violet filters (425nm) (c) Saliva Dried saliva stain is virtually colourless and difficult to detect by naked eye [15]. From literature, saliva stain exhibits fluorescence effect but in a lower intensity compared to semen [15]. Saliva stain was detectable by naked eye when exposed to UV light [9], where it would appear bluish-white, but this would not differentiate it from other stains [1,16]. In addition, UV-UV photoluminescence, where excitation wavelength at short UV (266nm) and emission wavelength at long UV, was reported to be able to detect saliva stain [10]. Besides, saliva stain was also detectable under excitation wavelength of 450nm with orange goggles [4] or 555nm interference filters, which is a filter that use interference effect to transmit 555nm wavelength of light and reflect other wavelengths [15]. Camilleri et al. [15] reported that the optimum contrast of saliva stains on white Colour of the observed stain Blue Yellow Yellow Orange Red Black cotton background was achieved using the 470nm excitation wavelength with the 555nm interference filters, while saliva stain was also detectable with human eyes using other excitation wavelength with different colour goggles or filters, such as 415nm with yellow goggle or 555nm interference filters, 470nm with 530nm interference filters, 490nm with 555nm interference filters and 505nm with 555nm interference filters. Furthermore, saliva stain appeared to be white thin edged stain when exposed to 450nm excitation wavelength and viewed with orange goggles [4]. Besides, yelloworange stain was observed when saliva stain exposed to 532nm excitation wavelength and viewed with goggles that designed to block 532nm light [9]. Table 2 summarized the excitation wavelength with the suitable goggles or interference filters for detection of saliva by human eyes. Table 2: Excitation wavelength with suitable goggles or filters for detection of saliva Excitation light Long UV [1,9,16] 415nm [4,15] 450nm [4,15] 470nm [15] 490nm [15] 505nm [15] 532nm [9] Goggles/Filters No goggles needed, but recommended to wear UV safety goggles Yellow goggles/555nm interference filters Orange goggles/555nm interference filters 530nm/555nm interference filters 555nm interference filters 555nm interference filters Goggles that block 532nm light Colour of the observed stain White-bluish Not stated in literature White (Orange goggles) Not stated in literature Not stated in literature Not stated in literature Yellow-orange Notes: interference filters allow only the desirable wavelength pass through. (d) Urine Urine stains are hard to be seen because the nature of urine, where these stains will become diluted on fabric surfaces [1]. In fact, urine stains exhibits fluorescence effect when exposed to UV light, but the colour of the stain may vary in the presence of abnormal substances, such as glycosuria [16]. Vandenberg and Oorschot [4] reported that urine was detectable by human eyes under 415nm excitation wavelength with yellow goggles, 450nm excitation wavelength with orange goggles and 505nm excitation wavelength with red goggles. Besides, Seidl et al. [9] tested urine stains with excitation wavelength at 532nm using SpectraPhysics® RevealTM. From the results of their test, when urine stains were viewed under goggles that block 532nm light, the stain appeared as a yelloworange stain but more intense compared to saliva, which was also exhibits the same colour under this wavelength/filters combination. Table 3 summarized the excitation wavelength with the suitable goggles or filters for detection of urine. 19 Malaysian Journal of Forensic Sciences, 2010, Vol 1 Table 3: Excitation wavelength with suitable goggles or filters for detection of urine Excitation light UV [16] 415nm [4] 450nm [4] 505nm [4] 532nm [9] Goggles/Filters No goggles needed, but recommended to wear UV safety goggles Yellow goggles Orange goggles Red goggles Goggles that block 532nm light Detection of Biological Different Type of FLS Evidences using There were several FLS reported for the success in aiding the detection biological evidences by human eyes. In order to increase the sensitivity of detection, an FLS must produce a high intensity of light, as Wawryk and Odell [13] reported that most FLS with lower intensity was not suitable to be used to detect urine due to its weak emission light. Besides, different substances have different excitation wavelengths that would give the best detection. Due to these two circumstances, among all the available FLS, the most tested FLS in literature was Polilight®, where this FLS gives variety of wavelength with high intensity of light. Vandenberg and Oorschot [4] reported the test of the latest Polilight®’s model, PL500, on blood, semen, urine and saliva and it shows positive detection for all type of tested stains when observed through suitable goggles. In fact, lasers, such as TracER and SpectraPhysics® RevealTM, have higher intensity and a narrower bandwidth compared to most of the FLS, which make it to be more effective in detection compared to other light source [3]. In an earlier paper, Auvdel [17] reported that a laser, SpectraPhysic Model 171-19, was more effective in detecting semen, saliva and sweat stains compared to Mineralight, short UV light source with 245nm. However, in another paper reported by Auvdel [18], high-intensity quartz arc tube, Luma-Print, has a better detection rate of semen, saliva and sweat compared to laser, Spectra-Physic Model 171-19. Furthermore, Luma-Print has a better portability over high-powered laser. In addition, lasers are more costly and heavier compared to other FLS [3]. The comparisons of the detection blood, semen, saliva and urine between Lumatec Superlite 400, a tunable wavelengths FLS with several different goggles, and Spectra-Physics® RevealTM, with goggles that block 532nm light emitted from the laser, were reported by Seidl et al. [9]. Both light sources showed comparable results in detection but fluorescence of urine was stronger with laser system. However, blood stain cannot be viewed using the laser system of 532nm wavelength with a safety goggles that block 532nm light [9]. The Colour of the observed stain Depends on abnormal substance presence Not stated in literature White Not stated in literature Yellow-orange contrast between blood stains with the background cannot be enhanced as blood stains absorbed completely the light from laser and the light reflected from the background was blocked by the safety goggles. Due to the strong absorption wavelength of blood stain in the entire light wavelength, there were several types of suitable FLS for bloodstains’ detection reported in literature, such as high intensity LED [13], UV [8,10], Lumatec Superlite 400 [9], PolirayTM [13] and Polilight® (1-2; 4-6; 11-12). Besides, IR light was also proven to be successful in detecting bloodstain on black fabrics [7]. Moreover, it was reported that bloodstain that was covered by paint can also be revealed using Polilight® [4]. Santucci et al. [19] reported that Wood’s Lamp, an ultraviolet light source that emits wavelengths of approximately 320-400nm, was unable to be used to distinguish between semen and other substances that were commonly found on perineum of children or adolescents. Moreover, all the 29 semen samples used for the study did not show any fluorescence when exposed to Wood’s Lamp. Bluemaxx BM500, a FLS with a broad-band wavelength of 390-500nm was tested and reported to have a better performance compared to Wood’s Lamp [14]. Using Bluemaxx BM500, semen stain on a white 100% cotton surface can be detected all of the time and after a brief training session, 15 out of 18 of the physicians, about 83.3%, were able to differentiate semen stain from other common product. With this FLS, the semen sample would still exhibit fluorescence with the same intensity after a few months from the initial placement on the cloth [14]. PolirayTM with 550nm camera filter was also tested to be successful in detecting semen stains by Lincoln et al. [20]. The detection of blood, semen, saliva and urine by different type of LED, ranging from 370 to 480nm, and PolirayTM on skin was tested by Wawryk and Odell [13]. Semen and blood stains were successfully detected by all of the tested FLS. However, a very close distance between those FLS to the surface was needed, which was less than 3cm. In addition, those stains can only be observed with filter goggles in a distance around 20cm from the 20 Malaysian Journal of Forensic Sciences, 2010, Vol 1 stains. Besides, saliva was not fluorescence under any type of the tested light source. This shows those tested FLS were having lower light intensity output compared to Polilight®, which caused saliva undetectable, as saliva shows weak fluorescence under Polilight®. Besides, urine was not detected by any lower intensity LED or everLEDTM MagliteTM replacement bulb, but some fluorescence observed when urine exposed to LuxeonTM Star V LEDs and Poliray® [13]. There was another test by Carter-Snell and Soltys [21] to compare different wavelength effect on biological stain, such as semen, urine and saliva, using Mineralight, Evident Products CE, long UV light with 365nm, Bluemaxx BM500 and Bluemaxx Mini, blue light with 450nm. Semen stains were detectable by all the tested FLS good results, while urine was only detectable using Mineralight and Bluemaxx BM500, with weak sensitivity. Saliva stains were also fluorescence when exposed to each of the tested FLS except for Bluemaxx Mini, due to its lower intensity of light. However, the fluorescence of the same semen stain was observed to be different in colour by different examiner with the same FLS and goggles. Blue, blue-white and light green fluorescence colours of semen stain were observed when exposed to Evident Product CE, whereas white, yellow-white and green fluorescence colours were observed when exposed to Bluemaxx BM500 and Bluemaxx Mini with orange goggles. Table 4 summarizes the wavelength output and the detectable stains reported for all of the FLS found in recent literature, such as TracER [3], SpectraPhysics® RevealTM [9], PolirayTM [13,20], Polilight® PL500 [4], Lumatec Superlite 400 [9], Wood’s lamp [19], Bluemaxx BM500 [14,21], Bluemaxx Mini [21], Evident Product CE [21], Mineralight® [21] and high intensity LED [13]. Table 4: Comparison of the tested FLS in recent literature in term of wavelength and detectable stains reported FLS TracER (Laser) [3] Spectra-Physics® RevealTM (Laser) [9] PolirayTM [13,20] Wavelength (nm) 532 (Green laser beam) 532 (Green laser beam) 415-610 (mounting interference filters) Detectable Stains Reported Semen, Saliva, Urine Semen, Saliva, Urine Blood, Semen, Urine Polilight® PL500 [4] Adjustable from UV, 415-650nm and white light Adjustable from 320-700 320-400 (Long UV) 450 (Blue) 450 (Blue) 365 (Long UV) 254 (Short UV) Variety of wavelength depends on the LED used Blood, Semen, Saliva, Urine Lumatec Superlite 400 [9] Wood’s lamp [19] Bluemaxx BM500 [14,21] Bluemaxx Mini [21] Evident Product CE [21] Mineralight® [21] High Intensity LED [13] Effect of Biological Evidences on Different Surfaces towards their Detection using FLS The sensitivity of biological stains detection through human eyes using FLS varies on different type of surfaces the stains occurred. This was due to different reactions of different type of surfaces’ materials towards FLS. Some materials were dark in colour, highly absorbent of liquids or exhibits strong fluorescence effect when exposed to FLS [22]. High absorbent material would absorb the biological evidences into its fabric before it dry and fluorescence of the background would mask the fluorescence of the biological stains. These factors will reduce the contrast enhancement of biological stain towards background [4]. Table 5 shows the surfaces that had been tested in literature for the detection of biological evidences using FLS. Blood, Semen, Saliva, Urine Semen (doubtful) Semen, Saliva, Urine Semen Semen, Saliva, Urine Semen, Saliva, Urine Blood, Semen (Urine was detectable by LuxeonTM Star V LED) (a) Blood The detection of bloodstain was poor on highly absorbent polar fleece [4]. The maximum detectable blood dilution reported was 1/1000, where the stain was on white cotton and FLS used was Polilight® PL500 [4]. However, the same stains was detectable using natural light, which means FLS has little benefit for detection of bloodstains on light-coloured surfaces [4]. Wagner and Miskelly [11,12] reported their background correction method was able to detect blood dilution up to 1000-1600, with the aid of Polilight®. They reported that using Polilight® at 415nm, the maximum detectable dilution on white cotton was 1/400, but the detectable dilution was further improved by their proposed method. 21 Malaysian Journal of Forensic Sciences, 2010, Vol 1 Besides Polilight®, Lumatec Superlite 400, adjusted to output the light with wavelength of 415nm, was also tested on different type of materials by Seidl et al. [9] and its maximum detectable dilutions were shown in Table 6. Meanwhile, Wawryk and Odell [13] reported that the bloodstain on skin was detectable using high intensity LED or PolirayTM, but not visible on the second day of the experiment. From literature, IR light was used to detect bloodstain on black colour surfaces, where the stains were barely visible [7]. The maximum dilutions of bloodstains on different materials detected by the stated FLS were summarized in Table 6. Table 5: Surfaces tested for detection of biological evidences with FLS in literature Item 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 Surface Fabric: Cotton [9] Fabric: Cotton (4; 11-12; 21) Fabric: Cotton [4] Fabric: Cotton [4] Fabric: Cotton [4] Fabric: Cotton [4,7] Fabric: Cotton [4] Fabric: Wool [4] Fabric: Nylon [4] Fabric: Nylon [4] Fabric: Polyester [4] Fabric: Velour [4] Fabric: Satin [4] Fabric: Crepe [4] Fabric: Polyester + spandex [4] Fabric: Cotton + elastane [4] Fabric: Nylon + elastane [4] Fabric: Polysester + cotton [4] Fabric: Polar fleece [4] Synthetic carpet [4] Pine wood [4] Dried leaves [4] Glass [4] Brick [4] Metal [4,9] Plasterboard [4] Condom [4] Tile [9] Glass [9] PVC [9] Formica [9] Carpet [9] Stone [9] Wood [9] Fabric: 35% rayon & 65% polyster [7] Fabric: 35% cotton & 65% polyster [7] Fabric: 35% polyster & 65% cotton [7] Fabric: 100% velvet [7] Fabric: 50% acrylic & 50% wool [7] Fabric: 5% lycra & 95% cotton [7] Fabric: 5% spandex & 95% polyester [7] Fabric: 30% polyster &70 % rayon [7] Fabric: 30% acrylic &70% wool [7] Human skin [13,21] Colour of surfaces – white red pink with white polka dot checked weave black yellow, green, pink, blue, brown, purple white, yellow, green, red, blue white, blue pink white blue pink black white, black blue white black + white green white, blue – – – – – – – – – – – – – black black black black black black black black black – – Remark: “ –“ not found in literature 22 Malaysian Journal of Forensic Sciences, 2010, Vol 1 Table 6: Detectable bloodstains on different surfaces reported using FLS FLS Polilight® Wavelength (nm) / Detection methods Background Correction [11,12] 415nm [4] Lumatec Superlite 400 415nm [9] High Intensity LED PolirayTM IR 370-480nm [13] 450nm [13] >930nm [7] Code: Surfaces 2 2 3-18,20-26 19 1 28 29 30 31 32 25 33 34 44 44 6 35 36 37 38 39 40 41 42 43 Maximum visible dilution reported 1/1600 1/1000 – 1 1/10 1/10 1/10 1/100 1/10 1/1 1/1 1/1 1/100 nv2 nv2 1/4 1 1/4 1/4 1/4 1/4 1 1/4 1/8 1/4 Surfaces numbers referred to the surfaces numbered in Table 5 Bold dilutions mean strong or clear detection. Non-bold dilutions mean weak detection. “–“ indicates not stated in literature nv2 means neat stains visible on first day but not visible on second day (b) Semen Vandenberg and Oorschot [4] reported that the most useful wavelength and goggles used for detection of semen stain was 450nm with orange goggles. Semen stains can be detected using FLS on most of the surfaces, where the stains was not detectable by naked eye under natural light, due to the strong fluorescence effect of semen stains [4]. Absorbency of fabric was not affecting much the detection of semen stains, where semen stains on highly absorbent surfaces, such as blue velour and dark green polar fleece, were easily detected by Polilight® [4]. The reported maximum detectable dilution on white cotton using Polilight® was 1/100 and not detectable under natural light [4]. However, the colour and pattern of the surfaces was found to affect the appearance of semen stains. The reported surfaces were pink nylon, red cotton, pink cotton white polka dot and checked fabrics, where semen stains on those same materials with different colour show good results in detection [4]. Fabrics such as white cotton, pink satin and pink fleecy material, which shows strong fluorescence under certain wavelength, reduced the contrast between semen stains and the background [22]. White cotton’s excitation wavelength was about 340-410nm with 440-470nm emission wavelength, while pink satin’s excitation wavelength was around 490-530nm with 570-620nm emission wavelength. Hence, the excitation wavelength with 450nm is better than UV light for detection of semen stain on white cotton [22]. Moreover, as reported earlier, Santucci et al. [19] tested that Wood’s lamp, a long UV light source with the wavelength about 320-400nm, could not be used to detect semen stains on white or black cotton. Another FLS, Bluemaxx BM500, a FLS with the wavelength of 450nm, showed good results in detecting semen stains on white cotton [14]. The detection of semen on different surfaces between Lumatec Superlite 400 with SpectraPhysics Reveal laser was comparable, where the detectable dilution between both FLS was the same on every tested surface [9]. Wawryk and Odell [13] reported that semen stains on skin did not show any fluorescence when exposed to low intensity LED, where different LEDs’ wavelengths ranging from 375nm-480nm were tested. When the same stains on skin exposed to PolirayTM and high intensity LED, such as LuxeonTM LED, fluorescence was observed when viewed with orange goggles. However, the fluorescence was very faint when 23 Malaysian Journal of Forensic Sciences, 2010, Vol 1 exposed to the same FLS on the second day. Besides, four FLS, Mineralight, Evident Products CE, Bluemaxx BM500 and Bluemaxx Mini, were tested and successful in detecting semen stains on human’s arm [21]. The maximum dilutions of semen stains on different materials detected by the stated FLS were summarized in Table 7. Table 7: Detectable semen stains on different surfaces reported using FLS FLS Wavelength (nm) / Detection methods Polilight® UV light [22] 450nm + Orange goggles [4] Bluemaxx BM500 450nm + Orange goggles [14,21] Mineralight Evident Products CE Bluemaxx Mini Lumatec Superlite 400 254nm [21] 365nm [21] 450nm [21] 415nm + Orange goggles [9] Spectra-Physics laser 532nm + 532nm block goggles [9] High Intensity (LuxeonTM LED) Poliray® Code: Reveal LED 452.9nm/466.9nm + orange goggles [13] Surfaces 2 2,11 3-5,10 6-9,12-27 2 44 44 44 44 1 28 29 30 31 32 25 33 34 1 28 29 30 31 32 25 33 34 44 Maximum visible dilution reported 1 1/100 1 – – – – – – 1 1/10 1/10 1/10 1/100 1/10 1/10 1 1 1 1/10 1/10 1/10 1/100 1/10 1/10 1 1 nf2 44 nf2 450nm + orange goggles [13] Surfaces numbers referred to the surfaces numbered in Table 5 Bold dilutions mean strong or clear detection. Non-bold dilutions mean weak detection. “–“ mean not stated in literature nf2 means neat stains visible on first day but extremely faint on second day (c) Saliva As discussed before, saliva stains are hard to be detected by naked eye due to its colourless [15]. Moreover, its fluorescence intensity is found to be very weak and very difficult to be detected by FLS compared to semen stains [15]. Besides, the absorbency of material became a factor that affects the detection for saliva stains, where saliva stains were very difficult to be detected when the stains were mostly absorbed into the fabric [4]. Vandenberg and Oorschot [4] reported that saliva stains on blue and white checked cotton weave were not visible when observed through 450nm and orange goggles. The maximum detectable dilution of saliva stains on white cotton using Polilight® reported was 1/16 [15]. Wawryk and Odell [13] reported that saliva stains on human skin was not fluorescence under high intensity LED, 370-480nm, and PolirayTM, 450nm. However, it was reported that saliva stains on human skin was 100% sensitive to UV light, produced by Mineralight, 254nm, and Evident Products CE, 365nm, while 14% sensitivity when using Bluemaxx BM500 [21]. Spectra-Physics® RevealTM laser has slightly better detection sensitivity compared to Lumatec Sperlite 400 for saliva stains [9]. 24 Malaysian Journal of Forensic Sciences, 2010, Vol 1 The maximum dilutions of saliva stains on different materials detected by the stated FLS were summarized in Table 8. (d) Urine Literature on maximum detectable dilution of urine stains on different surfaces using FLS was limited. Vandenberg and Oorschot [4] reported that urine stains on white cotton was detectable with Polilight® but the serial dilution detection reported in the literature was only for blood, semen and saliva stains. However, the maximum detectable dilution of urine stains on different surfaces, using Spectra-Physics Reveal laser and Lumatec Superlite 400, were reported by Seidl et al. [9], where their detection capabilities were comparable. Short UV light by Mineralight and 450nm light by Bluemaxx BM500 were able to detect urine stains on skin, with 71% and 14% sensitivity respectively [21]. There was also a test of the detection of urine stains on skin using different type of LED and Poliray® [13]. However, only higher intensity LED, LuxeonTM LED and Poliray® were reported to be successfully in detecting urine stains, with the same intensity with semen stains. These stains were undetectable by the mentioned FLS on the second day of experiment [13]. The maximum dilutions of urine stains on different materials detected by the stated FLS were summarized in Table 9. Discussion FLS was proven to be successful in detecting biological stains, such as blood, semen, saliva and urine. The best single wavelength and goggles combination for detecting most of the stains was 450nm wavelength with orange goggles [4]. Almost all types of biological stains on white cotton were visible with this combination of wavelength and goggles. Most of the reported detection methods using FLS were observed through naked eyes. However, different examiners with the same combination of FLS and goggles could observe different colour for the same stains. For example, Carter-Snell et al. [21] reported that fluorescence of semen stains on skin were observed by different examiners with different colours when exposed to the same FLS and viewed with the same goggles. Moreover, some of the examiner failed to detect the stains [21]. Hence, there might be failure in detecting biological stains through human examiner with FLS during crime scene investigation. Besides, some fabrics would fluorescence when exposed to the FLS, such as white cotton would fluorescence at emission wavelength of 440-470nm with 340410nm excitation wavelength and pink satin would fluorescence at emission wavelength of 570-620nm with 490-530nm excitation wavelength [22]. These fabrics’ fluorescence would make the fluorescence of stains difficult to be detected. Hence, different fabric would need different wavelengths with different interference filters or goggles for the stain fluorescence to be successfully seen. Table 8: Detectable saliva stains on different surfaces reported using FLS FLS Polilight® Wavelength (nm) / Detection methods 450nm + Orange goggles [4,15] Bluemaxx BM500 Mineralight Evident Products CE Lumatec Superlite 400 450nm + Orange goggles [14,21] 254nm [21] 365nm [21] 415nm + Orange goggles [9] Spectra-Physics Reveal laser Code: 532nm + 532nm block goggles [9] Surfaces 2 10,12,19 3-9,11,1318,20-27 44 44 44 28 Maximum visible dilution reported 1/16 1 – 29 30 31 32 25 28 29 31 32 25 1/10 1 1/100 1 1 1/100 1/10 1/100 1 1/10 1 – – 1/100 Surfaces numbers referred to the surfaces numbered in Table 5 Bold dilutions mean strong or clear detection. Non-bold dilutions mean weak detection. “–“ mean not stated in literature 25 Malaysian Journal of Forensic Sciences, 2010, Vol 1 Table 9: Detectable urine stains on different surfaces reported using FLS FLS Wavelength (nm) / Detection methods Polilight® Bluemaxx BM500 Mineralight Lumatec Superlite 400 450nm + Orange goggles [4] 415nm + Yellow goggles [4] 505nm + Red goggles [4] 450nm + Orange goggles [21] 254nm [21] 415nm + Orange goggles [9] Surfaces 2 2 2 44 44 1 Maximum visible dilution reported – – – 1 – 1/100 1/1000 1/10 1/100 1/1000 1/10 1/100 1/10 1 1/10 1/1000 1/10 1/100 1/1000 1 1/100 1 1 nv2 nv2 Spectra-Physics Reveal laser 532nm + 532nm block goggles [9] High Intensity (LuxeonTM LED) 452.9nm/466.9nm + orange goggles [13] 28 29 30 31 32 25 33 34 1 28 29 30 31 32 25 33 34 44 450nm + orange goggles [13] 44 LED Poliray® Code: Surfaces numbers referred to the surfaces numbered in Table 5 Bold dilutions mean strong or clear detection. Non-bold dilutions mean weak detection. “–“ means not stated in literature nv2 means neat stains visible on first day but not visible on second day Future Developments Background correction method [11,12], a multispectral imaging algorithm, showed improvement in detection of bloodstains. Hence, there might be improvement of detection of biological stains using multispectral imaging system compare to current methods. Multispectral imaging system is an imaging system that process images captured in different wavelength. Multispectral imaging system shows an important role for enhancing the images in many applications i.e. food industries [23], medical industries, printing [24] and forensic [11,12]. Besides, an automated imaging system would aid the crime scene investigator in detecting biological evidence. Since there would be different rate of detection of biological evidence by human observation, a computerized detection system with the aid of camera and FLS would give a more precise detection. Further investigation for multispectral imaging system and automated detection system for detecting various types of biological stains can be done to improve the detection of biological stains using FLS. Acknowledgements The authors would like to thank University Sains Malaysia for the financial support through Postgraduate Fellowship Scheme and Ministry of Higher Education, Malaysia through FRGS grant (203/PELECT/6071188). References 1. K. Virkler, I.K. Lednev. (2009). Analysis of body fluids for forensic purposes: From laboratory testing to non-destructive rapid 26 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. confirmatory identification at a crime scene. Forensic Science International. 188: 1-17. C. Lennard, M. Stoilovic. (2004). Application of forensic light sources at the crime scene, In: Horswell, J., editor, The practice of crime scene investigation. United State of America, CRC Press. pp 97-123. D.L. Shenkenberg. (2009). Light Sources Help CSIs Fight Crime. Photon Spect. 43: 58-59. N. Vandenberg, R.A.H. Oorschot. (2006). The use of Polilight in the detection of seminal fluid, saliva, and bloodstains and comparison with conventional chemical-based screening tests. Journal of Forensic Sciences. 51: 361370. L.W. Joanne, I.C. Jonathan, I.Q. Terence. (2006). A comparison of the presumptive luminol test for blood with four nonchemiluminescent forensic techniques. Luminescence 21: 214-220. M. Stoilovic. (1991). Detection of semen and blood stains using polilight as a light source. Forensic Science International. 51: 289-296. A. Chun-Yen Lin, H.M. Tsai, L.C. Tsai, A. Linacre, J.C.I. Lee. (2007). Forensic Applications of Infrared Imaging for the Detection and Recording of Latent Evidence. Journal of Forensic Scences. 52: 1148-1150. M.C. Çubuk (2002). Utilisation of ultraviolet light for detection and enhancement of latent prints. Z Zagadnien Nauk Sadowych. 51: 150154. S. Seidl, R. Hausmann, P. Betz. (2008). Comparison of laser and mercury-arc lamp for the detection of body fluids on different substrates. International Journal of Legal Medicine 122: 241-244. E. Springer, J. Almog, A. Frank, Z. Ziv, P. Bergman, W. Gui Qiang. (1994). Detection of dry body fluids by inherent short wavelength UV luminescence: preliminary results. Forensic Science International 66: 89-94. J.H. Wagner, G.M. Miskelly. (2003). Background correction in forensic photography I. Photography of blood under conditions of non-uniform illumination or variable substrate colour - Theoretical aspects and proof of concept. Journal of Forensic Sciences 48: 593-603. J.H. Wagner, G.M. Miskelly. (2003). Background correction in forensic photography II. Photography of blood under conditions of non-uniform illumination or variable substrate colour - Practical aspects and limitations. Journal of Forensic Sciences 48: 604-613. J. Wawryk, M. Odell. (2005). Fluorescent identification of biological and other stains on skin by the use of alternative light sources. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. Journal of Clinical Forensic Medicine. 12: 296-301. D.G. Nelson, K.A. Santucci. (2002). An alternate light source to detect semen. Academic Emergency Medicine. 9: 1045-1048. E. Camilleri, E. Silenieks, J. Henry. (2006). Locating Saliva Stains using the Polilight and SALIgAE Spray, Evidence Recovery and Biology Analytical Groups. Forensic Science Australia, Government of South Australia. R. Gaensslen. (1983). Sourcebook in Forensic Serology, Immunology, and Biochemistry. Washington, DC, U.S. Department of Justice. M.J. Auvdel. (1987). Comparison of laser and ultraviolet techniques used in the detection of body secretions. Journal of Forensic Sciences. 32: 326-345. M.J. Auvdel. (1988). Comparison of Laser and High-Intensity Quartz Arc Tubes in the Detection of Body Secretions. Journal of Forensic Sciences. 33: 929-945. K.A. Santucci, D.G. Nelson, K.K. McQuillen, S.J. Duffy, J.G. Linakis. (1999). Wood's lamp utility in the identification of semen. Pediatrics 104: 1342-1344. C.A. Lincoln, P.M. McBride, G.R. Turbett, C.D. Garbin, E.J. MacDonald. (2006). The use of an alternative light source to detect semen in clinical forensic medical practice. Journal of Clinical Forensic Medicine. 13: 215-218. C. Carter-Snell, K.Soltys. (2005). Forensic Ultraviolet Lights in Clinical Practice:Evidence for the Evidence. The Canadian Journal of Police and Security Services. 3: 79-85. H.J. Kobus, E. Silenieks, J. Scharnberg. (2002). Improving the effectiveness of fluorescence for the detection of semen stains on fabrics. Journal of Forensic Sciences. 47: 819-823. J. Vila, J. Calpe, F. Pla, L. Gomez, J. Connell, J. Marchant, J. Calleja, M. Mulqueen, J. Munoz, A. Klaren. (2005). SmartSpectra: Applying multispectral imaging to industrial environments. Real-Time Imaging. 11: 85-98. D.L. Lau, R. Yang. (2005). Real-Time Multispectral Colour Video Synthesis using an Array of Commodity Cameras– Imaging Principles and Applications. Real-Time Imaging. 11: 109-116. Additional information and reprint requests: Khoo Bee Ee (Email: beekhoo@eng.usm.my) School of Electrical and Electronic Engineering Engineering Campus Universiti Sains Malaysia 14300 Nibong Tebal, Penang, Malaysia 27 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 Development of Reagent Test Kit for the Enhancement of Shoeprints at Crime Scene Umi Kalthom Ahmada, Noorul Huda Abdul Jabara, Chong-Hooi Yewb, Noor Azmi Yusoffb a Department of Chemistry, Faculty of Science, Universiti Teknologi MalaysiaSkudai, Johor, Malaysia. b Forensic Laboratory, Royal Malaysia Police, 8 ½ mile Jalan Cheras, Cheras, Selangor, Malaysia ABSTRACT: Footwear marks constitute important trace evidence found in major crime scenes. Latent footwear marks require efficient treatments for possible shoe sole pattern identification in crime analysis. This study consisted of two parts: enhancement of footwear prints and development of reagent test kit for the enhancement of shoeprints at crime scene. Chemical enhancements were carried out on shoe soles subjected to muddy and bloodstained areas. The shoeprints were formed on nine different matrices including porous and non-porous surfaces. Eighteen reagents were tested for the enhancements of muddy and bloodstained shoeprints. Reagents employed on muddy prints reacted with either metal ion, amino acid or other component while reagents employed on bloodstained prints were sensitive to protein, peroxidise and amino acid. Among the eighteen reagents, leucomalachite green and patent blue were chosen as the best reagents in enhancing bloodstained shoeprints while potassium ferrocyanide and sudan black were the best enhancement technique for muddy shoeprints. All four reagents were effective on both porous and non-porous surfaces. However, the reagents were not applicable on dark background surfaces. These reagents were used for the test kit development for crime scene work. The test kit was named as SPECK (Shoeprint Enhancement Chemical Kit) and consisted of chemical reagents, instruction, safety precaution, and personal protective equipments such as gloves and masks. The reagent test kit developed was found to be reliable for screening purposes, rapid to carry out and specific as well as reasonably cost. Keyword: shoeprint chemical enhancement, crime scene toolkit, forensic chemistry Introduction When one object makes physical contact with another, it may leave some of its physical characteristics on the recipient in the form of an impression [1]. Marks and impressions evidence can be generally defined as the signature (pattern) of an object that is left in another object when the two have come in contact with one another [2]. Footwear creates marks at the crime scene called as shoeprint and can be extremely informative to the forensic investigator. The sole of footwear picks up various kinds of material as a person walks, and this is readily transferred to other surfaces, creating an impression that can reveal the pattern on the sole [3]. Many footwear have soles with distinctive tread patterns, whereas others are smooth. Footwear evidence can be extremely valuable in associating perpetrators of crimes with the crime scenes. There may be shoeprints at and near the entry points to a crime scene, at the scene, and at and near the exits. In fact, there are many more shoeprints at and around crime scenes than are ever discovered or collected. It is reasonable to conclude that there are more potential footwear marks at crime scenes than there are fingerprint impressions. Latent or unclear shoeprints are usually harder to be detected by the naked eyes and are frequently overlooked by law enforcement personnel. Moreover, most of the footwear impression or shoeprints evidences are formed on static and permanent surfaces; it is therefore not possible for crime scene officers to bring back the evidence. Hence, a means of enhancing the footwear impression must be undertaken. Bloodstained and muddy shoeprints recovered at crime scenes could be enhanced using chemical reagents specific for the detection of either blood or mud. Thus, various types of analysis on stained shoeprints must be carried out to find out the best enhancement method. This study was therefore undertaken to develop a reagent test kit for the enhancement of shoeprints at crime scene. Chemical reagents that are specific for detection of bloodstained and muddy shoeprints were investigated for their effectiveness on various matrices for the enhancement of latent shoeprints. 28 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 Experimental Materials: In this study, nine materials were used as surface matrices of shoeprints, which consisted of five porous surfaces and four non-porous surfaces (Table 1). Blood and mud were used as stained area throughout the study. Mud was obtained from an identified location around the Faculty of Science, UTM while screened, blank expired blood (group A+ and O+) in plastic packages of 300 mL were obtained from Hospital Sultanah Aminah (HSA), Johor Bahru and Hospital Tengku Ampuan Rahimah (HTAR), Klang to produce muddy and bloodstained shoeprints respectively. A Nikon D60 L11 digital camera (1855 mm f/3.5-5.6G VR Japan) were used for the image capture of both untreated and treated shoeprints, and a ruler (inch and centimeter scale) were used to indicate the scale size in the photographic shots. A North Star size 4 patterned shoe sole was used to form the stained shoeprints on the matrices (Fig. 1). Table 1: Nature of matrices used in this study Type of Surface Matrix A4 White Paper Cardboard Carpet Food Wrapper-Porous Food Wrapper-Non-Porous Linoleum-Dark Linoleum-Light Plastic Tiles Nature of Matrix Porous Porous Porous Porous Non-Porous Non-Porous Non-Porous Non-Porous Non-Porous Fig. 1: Bottom shoe sole pattern Different views of North Star shoe used in the study Chemicals: Chemicals used in this study comprised of patent blue VF, 5-sulfosalicylic acid dihydrate, leucomalachite green, and sudan black B (SigmaAldrich - Steinheim, Germany), and potassium hexacyanoferrate (II) from QRëC, New Zealand. All chemicals used were of analytical grade. Solvents used included analytical grade glacial acetic acid from HmbG Chemicals, hydrochloric acid from J.T. Baker (Philipsburg, USA) and ethanol from F.A.D Ltd (England, UK), 2N nitric acid (QRec, New Zealand), 30% hydrogen peroxide, and diethyl ether. Double distilled water was prepared in the laboratory. Procedure: Muddy shoeprints were enhanced using nine different reagents which react with either metal ion, amino acid or other components while bloodstained shoeprints were treated with nine other reagents which react with either peroxidase or protein. The best enhancement reagents were identified for each muddy and bloodstained shoeprints. A crime scene toolkit was using selected reagents tested. The toolkit was named and came together with personal protective equipments as well as user manuals. Muddy shoeprints were enhanced using potassium ferrocyanide and sudan black reagents. Two types of solutions were prepared for shoeprint enhancement using potassium ferrocyanide reagent. Solution A was prepared by mixing hydrochloric acid (10 mL) and ethanol (90 mL) and for solution B, potassium ferrocyanide (5 g) was dissolved in deionised distilled water (100 mL). The articles bearing latent muddy shoeprints were sprayed with solution A followed with solution B [4]. Sudan black dye solution was prepared by dissolving sudan black B (3 g) in ethanol (250 mL). The 29 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 matrices containing impression were sprayed with this solution and washed with distilled water [4]. Leucomalachite green and patent blue reagents were chosed to enhance bloodstained shoeprints. Leucomalachite green staining solution was prepared by mixing leucomalachite green (1 g) with diethyl ether (70 mL), glacial acetic acid (0.5 mL) and 30% hydrogen peroxide (0.3 mL). The matrices were sprayed until completely covered and the matrices were allowed to air dry. The green coloured development of impressions occured within 10 seconds [5]. Patent Blue dye solution was prepared by dissolving sulfosalicylic acid (20 g) and patent blue VF (2 g) in distilled water (1 L), resulting in a greenish-blue solution. The objects were stained by spraying the item with the dye solution for approximately 1 minute followed by rinsing it with distilled water [6]. of the shoeprints were observed and recorded after the enhancement. In order to ensure an objective way of comparison, photographs were taken before and after treatment [1]. Besides, the purpose of taking a photograph of shoeprints is to record it for possible future comparisons with a suspect shoe. Therefore, a scale should be available in the photograph [7]. Results and Discussion The best chemical enhancements of bloodstained and muddy shoeprint on various matrices are shown in Table 2. Fig. 2 and Fig. 3 show enhanced bloodstained shoeprints using leucomalachite green and patent blue reagents respectively. While enhanced muddy shoeprints using potassium ferrocyanide and sudan black were shown in Fig. 4 and Fig. 5 respectively. Photographs of the enhanced prints were taken as the matrix dried up. The length, width, and patterns Table 2: Results of stained shoeprint enhancement with four different reagents Bloodstained Enhancement Mud stained Enhancement Reagents Reagents Matrices/Reagents Leucomalachite Patent blue Potassium Sudan black green ferrocyanide A4 White Paper + x x x Cardboard ++ + + + Carpet ++ + ++ + Food Wrapper-Porous ++ + + x Food Wrapper-Non-Porous ++ ++ ++ + Linoleum-Dark x + ++ Linoleum-Light + ++ ++ ++ Plastic ++ ++ x + Tiles + ++ + x “-“ : Bad; “+” : Fair; “x” : Poor; “++” : Good As a presumptive test, leucomalachite green is sensitive to the protein stain in the blood [8]. It gave a very contrast enhancement with porous and non-porous surface matrices. Subsequently patent blue solution which gave a good enhancement on non-porous matrices was also chosen as a complementary test to leucomalachite green reagent. Potassium ferrocyanide which reacts with metal ion in the soil [9] enhanced shoeprints on almost all matrices and the resulting colour of the stain was clearly visible. While sudan black stains other component of the soil which is fat [10]. A deep blue-black colour produced successfully enhanced shoeprint on non-porous matrices. All the selected reagents were kept in room temperature for two weeks. After two weeks, the reagents were tested again and the reagents still gave positive results. Only leucomalachite green was kept in the refrigerator because hydrogen peroxide was used during the preparation of the reagent. Hydrogen peroxide was stored in the refrigerator to avoid oxidation of the reagents. Thus, the reagents selected were used to develop the reagent test kit named SPECK (Shoeprint Enhancement Chemical Kit). The kit (Fig. 6) consisted of seven reagent bottles. The entire reagent bottles were labelled accordingly (Table 3). The test kit was also equipped with personal protective equipment like gloves and goggles, usermanual and notes regarding procedure of enhancement. Goggles were included in the kit and to be used for preventing the contact of reagent with eyes upon spraying the shoeprints. Gloves are used to avoid direct contact of hand with either the shoeprint or reagents. Mask should be worn during the enhancement to avoid the inhalation of the reagents. The kit can be placed in room temperature except for leucomalachite green, it is advised to keep the reagent in the refrigerator. It could be taken out and placed in a cooler box just 30 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 before the investigators depart to the crime scene. Based on the chemicals and other apparatus to be included in the kit, the kit was estimated to cost around RM 400.00. This constituted a reasonably cost kit. Fig. 2: The bloodstained shoeprint mark on tiles before (Top) and after (Bottom) treatment with leucomalachite green Fig. 3: The bloodstained shoeprint mark on non-porous food wrapper before (Top) and after (Bottom) treatment with patent blue Fig. 4: The mud stained shoeprint mark on non-porous food wrapper after treatment with potassium ferrocyanide Fig. 5: The mud stained shoeprint mark on linoleum before (Top) and after (Bottom) treatment with sudan black 31 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 Table 3: Reagents and labels No. 1 2 3 4 5 6 7 Reagents Leucomalachite green Patent blue Deionised water Mixture of HCl and ethanol Potassium ferrocyanate Sudan Black Deionised Water B1. Reagent A and B could be used on both porous and non-porous surfaces. Labels A B1 B2 C1 C2 D1 D2 Reagent C and D are to be applied on mud stained shoeprints. For reagent C, the user should spray the shoeprint with reagent C1 and followed with C2 until a blue colour is observed. For reagent D, D1 must be mixed with D2 before it could be sprayed onto the impression. A blue-black colour will appear upon spraying. The reagent test kit developed was found to be reliable for screening purposes, rapid to carry out and specific as well as reasonably price. However, the reagents are only applicable on light coloured surfaces and not suitable to be applied on dark coloured surfaces since all the enhancement colour of the reagents were not visible on dark surfaces. Moreover, the reagents could only enhance blur or unclear latent shoeprints, not latent shoeprint. Acknowledgements Thanks are due to the Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, and Forensic Laboratory, Royal Malaysia Police, Cheras, for research facilities. Special thanks and appreciation also go to all the hospitals staffs: Mr. Ariffin Hj. Mohd Yusof (Hospital Tengku Ampuan Rahimah, Klang) and Dr. Zanariah Kassim (Hospital Sultanah Aminah, JB) for their assistances in obtaining blank expired screened blood samples. References Fig. 6: Shoeprint Enhancement Chemical Kit showing inside (Top) and outside (Bottom) view For bloodstained shoeprint enhancement, reagent A or B1 and B2 could be applied. Reagent A can be straight away used to spray the shoeprint until a bluish-green colour is observed. While for reagent B, the shoeprint should be sprayed with B1 first and washed with reagent B2. The shoeprint will change to blue colour upon spraying with reagent 1. Dwane, S.H. (1995). The Art and Science of Criminal Investigation; Footwear, the Missed Evidence. The Lightning Powder Co. Newsletter. 11: 2-5. 2. Sullivan III, W. T. (2007). Crime Scene Analysis-Practical Procedure and Technique. New Jersey: Pearson Prentice Hall. 3. Bodziak, W.J. (2000). Footwear Impression Evidence. 2nd ed. Boca Raton: CRC Press. 4. Theeuwen, A.B.E., Barneveld, S. V., Drok, J. W., Keereweer, I., Lesger, B., Limborgh, J. C. M., Naber, W.M., Schrok, R. and Velders, T. (2001). Enhancement of Muddy Footwear Impression. Forensic Science International. 119: 57-67. 5. Theeuwen, A.B.E., Barneveld, S. V., Drok, J. W., Keereweer, I., Lesger, B., Limborgh, J. C. M., Naber, W. M., Schrok, R. and Velders, T. (1998). Enhancement of Footwear Impressions 32 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No.1 6. 7. 8. 9. in Blood. Forensic Science International. 133151. Saferstein, R. (2007). Criminalistics: An Introduction to Forensic Science. 7th ed. New Jersey: Prentice Hall, Engelwood Cliffs. Kramer, R. E. (2009). Footwear Impression Photography. International Association for Identification, Detective Cedar Falls Police Department. Ishihama, K., Koizumi, H., Wada, T., Iida, S., Tanaka, S., Yamanishi, T., Enomoto, A., Kogo, M. (2009), Evidence of Aerosolised Floating Blood Mist during Oral Surgery. Elsevier. 71: 359-364. Yu, X. Z., Gu, J. D., Li, T. P. (2008). Availability of Ferrocyanide and Ferricyanide Complexes as a Nitrogen Source to Cyanogenic Plants. http://www.ncbi.nlm.nih.gov/pubmed/1818086 2, retrieved on 30 April 2009. 10. Sigma Aldrich Catalog Entry for Sudan Black. http://www.sigmaaldrich.com/catalog/search/P roductDetail/ ALDRICH/860336, retrieved on August 2009. Additional information and reprint requests: Umi Kalthom bt Ahmad (Email: umi@kimia.fs.utm.my) Department of Chemistry Faculty of Science Universiti Teknologi Malaysia 81310 UTM Skudai, Johor, Malaysia 33 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Skull-Photo Superimposition: A Remedy to the Problem of Unidentified Dead in Malaysia P.T. Jayaprakasha, Bhupinder Singhb, Ridzuan Abd Aziz Mohd Yusopc, Hetty Susilawati Asmunid a Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia b Department of Forensic Medicine, Hospital Pulau Penang c Department of Chemistry Malaysia, Terengganu d Faculty of Law, Universiti Malaya ABSTRACT: Skull-photo superimposition continues to be a popular method for suggesting individual identification of unidentified human remains. In spite of the popularity in many countries, this method is not in regular practice in Malaysia. Computer aided Video Superimposition Device has been fabricated for the first time in Universiti Sains Malaysia paving the way for skull based identification in Malaysia. In Malaysia, about 25% of the skulls preserved in Hospital Pulau Pinang and among the human remains buried or cremated in two hospitals in Kuala Lumpur are found to pertain to cases of equivocal death and/or possible homicide. As of now, DNA based identification has been resorted to in about 10% of the bodies buried or cremated in the hospitals in Kuala Lumpur and the rest continue to remain unidentified. At present these cases remain as cold cases. The record of missing individuals in PDRM, Malaysia indicates about one thousand of the missing individuals to continue to be untraced every year. It is proposed that a) a skull photo superimposition facility be established in Forensic Science Laboratory, Kuala Lumpur for regular use to identify the dead bodies where the cause of death is equivocal since such identifications are known to bring to light motives in homicides and b) a Central Identification Laboratory similar to VICTIM project of FBI be established in Forensic Science Laboratory, Kuala Lumpur for suggesting possible identification of all unidentified remains utilizing the face photographs of missing individuals placing Malaysia on par with the countries pioneering in human identification elsewhere. Keywords: Forensic anthropology in Malaysia, skull-photo superimposition, identifying the unidentified dead, missing individuals Introduction Skull-photo superimposition is an accepted scientific method for suggesting individual identification of unidentified human remains such as recovery of skeletonized remains, decomposed or dismembered bodies as found during routine criminal investigation, mass disasters, bodies subjected to shearing forces as in explosions, burnt or charred remains [1-14]. This method relies on the use of commonplace evidence, face photographs of missing individuals for comparing with the skulls recovered from human remains which render its applicability both popular and effective. Ever since the premier acceptance of skull-photo superimposition based identification in the court of law in England [1], this method had gained legal acceptance in most of the countries [1, 2, 9, 15-21] including Malaysia [22, 23]. The use of face photographs of missing individuals bestows on this method the advantage of being effective in situations where blood relatives of the suspected dead individuals cannot be located due to lack of tentative identity thereby hindering DNA based identification. Although skull-photo superimposition has acquired popularity in most of the countries [1-32], yet this method is not regularly practiced in Malaysia. The problem of unidentified dead bodies has been well documented in forensic science [10-14, 34-39] and skull-photo superimposition has been indicated as a possible solution by recent workers [11-14]. Unidentified dead bodies, including those in which cause of death is equivocal, are not infrequent in Malaysia. In the absence of facility for skull based identification, these dead bodies continue to remain unidentified and are being disposed off as such which may lead to dead end in the investigation process. Since it has been found that establishing identity leads to unraveling the motive in cases of homicides, it is proposed that introduction of anthropological methods such as skull-photo superimposition and photo-photo comparison in Malaysia may provide lead to further investigate some of the cases that otherwise remain as cold cases. 34 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Relevance of Skull-Photo Superimposition as an Identification Technique The popularity of skull-photo superimposition as a method for identifying the dead by the FBI in the USA recorded its peak utility during the nineties and this appeared to reflect the availability of the necessary equipment and expertise coupled with the awareness of the value in forensic science and law enforcement communities; this utility diminished as molecular approaches have increasingly become available and anthropologists are optimistic expecting photographic superimposition in forensic science to increase [40, 41]. In tune with the above optimism, most of the European countries [9-14, 24] and those in the east [31, 32] are continuing the utilization of skullphoto superimposition. Albeit the lack of appropriate man power, shifting to molecular techniques for human identification may appear befitting the western countries where dental records form the prime source for identification. However, in countries like India where dental records are seldom maintained, skull-photo superimposition continues to be in regular practice from as early as during 1960. As stated by Ubelaker [41], the first author found a trend that recorded an increase in the utility of skull-photo superimposition from 15 cases during the period from 1971-1975 to 412 cases during the period from 1996-2000 [33] to align with the availability of man power and equipments coupled with awareness on the part of the investigating officers. Lack of appropriate maintenance of dental record is a common problem in India (project) and the south East Asian countries [9, 38, 39] including Malaysia. Furthermore, during the victim identification in Thailand following tsunami, among the western victims 85.5% were identified using dental records and 0.4% using DNA prompting the observation that DNA based identification encountered certain practical problems relating to decomposition and the time involved [39]. On the other hand, about 73% of the locals among the Thai victims still remained unidentified and their bodies were being exhumed until 2006 [40], the major reasons being lack of dental records and the high cost of applying DNA techniques. Recently, researchers have stressed the grounds for morphological analysis instead of solely relying on DNA based identification [13, 41, 42]. Under these circumstances, for Malaysia and other south East Asian countries, resorting to DNA technology for identifying human remains would not obviate the need for applying conventional anthropological measures such as skull-photo superimposition. Reliability in Skull-Photo Superimposition In a survey on superimposition and reconstruction, Aulsebrook and Iscan [43] indicate that the credibility of superimposition system was shown using it on human remains collected by the Smithsonian Institute by Ubelaker et al [45]. Scientific verification on the reliability of photo superimposition method has been attempted by many researchers [26, 32, 45-47]. Among the above researches, the work of Austin-Smith and Maples [46] who verified superimposition using one skull with multiple photographs found a chance of about ten per cent wrong match between a skull and an unrelated photograph. However, AustinSmith and Maples [46] used a 12 inch TV monitor and hence did not evaluate fitness in ‘life size’. Furthermore, these authors did not apply anthropological measurements from the skull for bringing out the life size of the face photographs. At present, cranio-facial morphanalysis, an additional procedure suggested for enhancing reliability [8, 33] is also being used for verifying the reliability. Preliminary studies (unpublished) in Universiti Sains Malaysia indicate an enhanced reliability in skull photo superimposition. It has been indicated that craniofacial superimposition can be considered reliable provided multiple criteria are used for comparison [9]. The best measure of a success of a method being court acceptance, it is seen that the superimposition method had gained acceptance in the courts in many parts of the world as a method for suggesting identification. As had been stressed by many authors, this method cannot generate ‘definite’ identity [1-9]. It is well to remember the instructive guideline of Thomas Dwight that ‘absolute certainty’ is not the objective in anthropological identification [40]. Rather, the expert is required to assist in establishing the identity and it would be for the judge to confirm it. Thus, the court acceptance of this method is an endorsement on its reliability for application in the context of identifying the dead. Court Acceptance: International Scenario Identification of human remains using skull-photo superimposition method has gained acceptance as evidence in the courts in England, Australia, Hong Kong, Japan and Malta [9]. Hagemeier [16] described the video superimposition based identification of a skull by Helmer and Gruner during 1976, which gained acceptance by the Frankfurt Assize Court. Krogman and İşcan [3] point out that the video superimposition based identification established by İşcan was accepted as evidence of positive identification in one case 35 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 during 1980. Nickerson et al. [18] cited Brown et al. [19] wherein Australian Court has accepted video superimposition as an identification tool. McKenna et al. [20] reported the acceptance of identification by superimposition in the High Court of Hong-Kong. Other countries where courts are accepting superimposition as evidence include France [16] Uruguay in South America, Switzerland [9] and India [1, 8, 17, 21]. The first author had testified on skull-photo superimposition in the courts of Tamil Nadu, India in 211 instances during the ten year period from 1994 to 2004. study as it was inexpensive. It has to be mentioned here that the experts who had been researching on superimposition for application purposes in the courts law from early eighties till recent times [3-15, 18-21, 24-33] had been using video-vision mixer for producing the superimposition effect of high quality and of desired types and mirror based image mixing would not serve such purposes. Another research on craniofacial analysis in Malaysia related to developing craniofacial database for Malaysia population, an aspect not related to individual identification in forensics [50]. Skull-Photo Superimposition: Court Acceptance in Malaysia Skull-Photo Malaysia Acceptance of identification of human remains using superimposition in the courts in Malaysia has been mentioned in three instances, two in a student’s project report [24] and one in Criminal Law Journal [23]. In all these instances, the superimposition is indicated to have been carried out by Prof. Dr. Masatsugu Hashimoto, University of Tokyo, Japan. However, scientific details on the type of equipments, anthropological parameters used or the laboratory where the superimposition was carried out etc. are not available. On the other hand, the available records indicate the paucity of local expertise as well as equipments in Malaysia for carrying out skull-photo superimposition and that Malaysia had been depending on foreign expertise for tendering evidence in courts law when necessity for identifying by superimposition method arose. The Computer aided Video Superimposition Device (CAVSID) (Fig. 1) fabricated in Universiti Sains Malaysia is the first of its kind in Malaysia. The device consists of two high resolution (600 pixel) CCD video cameras (Bosch) with Fuginon TV Zoom lens (Manual: 1.2/12.5-7.5) enabling zooming the images in focus locked state for capturing high resolution images of the skull and face photograph. A digital video vision mixer (Panasonic-G-MX70E) that enables real time capture of the images in analogue form is connected to the cameras. The images are cast in a 32 inch LCD TV monitor for analyzing and recoding the measurements with least error as well as for assessing the match between the skull and face photograph during positioning the skull or in process of mixing and wiping the superimposed images. A remote-controlled pan and tilt device (CS Lilin, PIH-303 Model) to which the universal skull clamp is fabricated to be held on stand is used for manipulating the various movements of the skull for achieving the desirable positioning in correspondence with the posture of the face. Control unit for the pan and tilt device (PIH-301-C (24VAC/240VAC) that enables finer movements of the skull and is positioned in a location from where the various movements of the skull for achieving the desirable positioning can be effected. A VCR (Sony-SLV-C317PS) for recording the real time analogue images generated during the superimposition process. Alongside, a 22 inch LCD computer monitor (Samsung) connected to computer system provided with video capture software (Compro) is used for capturing the superimposed images both frame by frame or as video strip. Skull-Photo Superimposition: State of the Art of Research in Malaysia Pertaining to the application of skull-photo superimposition in Malaysia, identification of a charred skull based mainly on the recovery of part of a ‘Chanel’ ear ring has been reported and skull-photo superimposition has been mentioned although superimposing images or the details of the methodology have not been provided [48]. An article on superimposition published in Malaysia indicates the use of Furue’s method wherein two mirrors are used for producing the superimposition effect [49]. Furue’s method has been stated as the choice for the above Superimposition Facility in 36 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Fig. 1: Computer Aided Video Superimposition Device (CAVSID) fabricated in Universiti Sains Malaysia. 1. CCD video camera (Bosch) with Fuginon TV Zoom lens (Manual: 1.2/12.5-7.5); 2. Digital video vision mixer (Panasonic-G-MX70E); 3. 32 inch LCD TV Monitor; 4. Pan and tilt device (CS Lilin TM, PIH-303) with skull clamp; 5. Control unit for the pan and tilt device (PIH301-C (24VAC/240VAC); 6. VCR (SonyTM-SLV-C317PS); 7. Computer system with image grabbing software and 22 inch LCD monitor; 8. Improvised stands. The captured images are printed in black and white using a laser printer (1200 pixels resolution). The minimum distance between the skull and the video camera can be 1.2 m, and a similar distance is maintained between the “life size” face photograph and the other video camera. Two improvised vertical stands are used for affixing the enlarged face photograph and, the servo assisted pan and tilt device supporting the skull can be fitted into another improvised vertical stand. These stands are provided with soft dark blue velvet cloth background for avoiding shadow and scattering of light. Diffuse fluorescent light from two 40 w tube lamps positioned 2.3 m in front of the skull at a height of 0.75 m above the level of the skull is used for illumination for the skull as well as the face photograph. The Problem of the International Scenario Unidentified Dead: In Milan, Italy, during the 14-year period from 1995 to 2008, a total of 454 cadavers were received as unidentified out of which positive identification could be achieved for 62%. The mean unidentified dead per year was 32. Roughly 50% of the unidentified bodies were identified within 3 days [15]. The authors list the most frequently methods used in decreasing order as follow: visual, fingerprints, soft tissue personal descriptions, information from respective consulates, forensic anthropology, forensic odontology and DNA. In Denmark, during the period from 1992-1996, a total of 89 unidentified dead bodies were received in the three forensic institutes and 79 of them (88.76%) were subsequently identified; the methods in decreasing order being: personal effects, dental examination, multiple sources such as X-ray, tattoos, fingerprints etc. [10]. In France, during a six year period from 2003 to 2009, a total of 134 unidentified bodies were received of which 10.2% remained unidentified after all efforts. These authors indicate that about half of the bodies were inhumed with identity that was not scientifically proved [16]. The Problem of the Malaysian Scenario Unidentified Dead: In Malaysia the second author had preserved 20 unidentified skeleton remains with skulls in appropriately dealt facilities anticipating the future identification since the cause of death was either equivocal or indicating homicide. Forensic science graduates from USM now serving as science officers in a few other hospitals have initiated preservation of skulls from unidentified bodies although comprehensive data for entire Malaysia is unavailable. During the 10 years period, between 1999 and 2008, in two hospitals in Kuala Lumpur (HKL and UMMC) the total number of unidentified dead bodies that have been buried or criminated was 411 and in about 116 of them cause of death was either in determinable or indicating homicide [23]. DNA based identification had been attempted in 12 of the 411 cases. Most of these 37 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 bodies have been indicated as ‘fresh’ and there is no record whether it meant identifiable appearance of the face since bodies can be classified as fresh even in the presence trauma etc. in the face that may hinder visual identification. Records relating to subsequent identifications, if any, among the above 411 cases are not available [23]. While subsequent identification is higher in other countries, in Malaysia the available data does not indicate subsequent identification. Suffice is to say that anthropological means for identification are prevalently used in other countries [10-15, 24] while such facilities have not been established in Malaysia so far. The data on the missing individuals available in PDRM, Malaysia indicates that about thousand missing individuals continue to remain untraced every year (Table 2). Comparison of the data published from other countries [10, 13, 15] indicates that the unidentified remains and those remaining so are considerably more in Malaysia (Table 1). Table 1: Comparison of the annual mean among the unidentified dead and rate of identification Country Period of study Milan, Italy [24] Denmark [10] France [15] Malaysia [23] 14-year period from 1995 to 2008 5-year period 1992-1996 6-year period from 2003 to 2009 10-year period from 1999-2008 Unidentified bodies (annual mean) 32 18 22 41 Percent identified 62% 88.76% 89.8% --- Table 2: Data on missing individuals; traced and remaining untraced (PDRM, Malaysia) Years (5) 2004-2008 Total number of persons reported as missing Male Female 4,622 10,528 15,150 Total number persons traced alive Male Female 2,633 6,645 9,278 The Need for a Victim Identification Center in Malaysia Based on the available statistics, it may be premature to conclude that all the cases indicated as unidentified continue to be so till now. It is possible that some of these cases had been solved in the intervening period. It is necessary to have a body for monitoring the progress in the identification process so that the actual state of these cases would be brought on record. In spite of the above allowance for the statistics, it is fairly evident all the bodies had been buried/cremated as unidentified occur more frequently and in about 28% of these bodies the cause of death was equivocal. It is also evident that compared to the other countries, the rate of identifying the dead in Malaysia is considerably low. On the other hand, many face photographs of missing individuals are being routinely publicized in the media every day in the hope that some of them may be recognized by the public leading to identification of the missing individuals, if he/she has been seen alive. It is a fact that new photographs of missing persons are being publicized every day and those that have not been traced remain archived without much scope for tracing. The above two ventures, first, trying to establish identity of the unidentified Total number of persons that remained missing Male Female 1,989 3,883 5,873 remains, and, second, attempting to trace those missing individuals utilizing media publication of their face photographs, are both procedures that presently remain dichotomous in Malaysia. As such, there is scope in Malaysia for envisaging a scientific project similar to the VICTIM project in FBI for identifying the dead using anthropological methods that would include skull-photo superimposition and photo-photo comparison so as to relate the skulls or the photographs of the dead bodies with the archived face photographs of the missing individuals for bringing out possible identification, if any. The project proposed here envisages i) collection of face photographs of all the unidentified dead taken by the investigation officers and ii) preservation of skulls from all the unidentified human remains where there is no lead on identity and forwarding them to the Central Identification Laboratory that would be a part of the Forensic science Laboratory. All the face photographs of those missing individuals who remain untraced would also be forwarded to the Central Identification Laboratory with details on personal particulars. Two major identification ventures in the Central Identification Laboratory would be a) to compare the skulls retrieved from the dead with the face photographs of the missing individuals taken while alive and b) 38 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 to compare the photographs of the dead with the photographs of the missing individual taken while alive. The outcome will be suggesting possible identification. Identification so suggested can be further followed up for DNA based identification wherever possible. Standard procedure recommended for photo-photo comparison [51] will be used for studying the photographs and a Computer Aided Skull-photo Superimposition Device (CAVSID) similar to the one recently fabricated in the Universiti Sains Malaysia will be used for suggesting skull based identification. Once the identity is suggested through a scientific method, it will provide a strong investigative lead that may further unravel a motive and thus bring to light some of the homicides that currently remain buried without any recourse. In case of implementing this project, Malaysia would prove a pioneer in the South East Asia in utilizing anthropological methods for solving the problem of the unidentified dead. Conclusion Unidentified dead bodies are posing a challenge that has been well reckoned internationally. In the context of lack of dental records or DNA samples from siblings, the only other option would be resort to the conventional anthropological methods like skull-photo superimposition. Lack of facilities for skull-photo superimposition in Malaysia may prove a void in the identification process. In the absence of a method for skull based identification, unidentifiable human remains would continue to remain without identification leading to dead end in the investigation process. Furthermore, this method has potential use in utilizing the photographs of missing individuals for suggesting possible identity using skulls recovered from unidentified dead bodies in routine identification of the unidentified dead in ventures similar to victim identification in FBI as well as in mass disaster victim identification. Describing the Computer Aided Video Superimposition Device fabricated for the first time in Malaysia in Universiti Sains Malaysia, it is proposed that skull-photo superimposition be introduced and popularized in Malaysia alleviating the problem of the unidentified dead in Malaysia. Acknowledgements The authors thank Universiti Sains Malaysia for the financial support through RU grant 1001/PPSK/813011 that enabled fabricating the Computer Aided Video Superimposition Device for the first time in Malaysia. Prof. Syed Mohsin Syed Sahil Jamalullail, Dean, Biomedical and Health Science Research Platform, Prof. Ahmad Hj. Zakaria, Dean, School of Health Sciences, and Prof. Zainul F. Zainuddin, Innovation Office of Universiti Sains Malaysia are thanked for their constant encouragement and support during the project for fabricating the superimposition device. References J. Glaister. (1947). Medical Jurisprudence. 8th ed., Edinburgh: E & S Livingstone Ltd., 86-97. 2. N. K. Sen. (1962). Identification by superimposed photographs. International Criminal Police Review. 162: 284-286. 3. W. M. Krogman and M. Y. İşcan. (1986). The Human Skeleton in Forensic Medicine. Springfield, Illinois: Charles C.Thomas, 413457. 4. P. X. Iten. (1987). Identification of skulls by video superimposition. Journal of Forensic Sciences. 32(1): 173-188. 5. P. Chandra Sekharan. (1989). The problems of positioning skulls for video superimposition technique. Journal of the Canadian Society of Forensic Science. 22(1): 21-25. 6. O. Gruner. (1993). Identification of skulls: A historical review and practical applications. In Forensic Analysis of the skull-Craniofacial Analysis, Reconstruction and Identification, eds. M. Y. İşcan and R. P. Helmer, 29-45. New York: Wiley Liss Inc. 7. M. Y. İşcan. (1993). Craniofacial image analysis and reconstruction, In Forensic Analysis of the skull-Craniofacial Analysis, Reconstruction and Identification, eds. M. Y. İşcan and R. P. Helmer, 1-9. New York: Wiley Liss Inc. 8. P. T. Jayaprakash, G. J. Srinivasan, M. G. Amravaneswaran. (2001). Cranio facial morphanalysis: A new method for enhancing reliability while identifying skulls by photo superimposition. Forensic Science International. 117 (1-2): 121-143. 9. J. A. Taylor, K. A. Brown. (1998). Superimposition Techniques, In Clement JG and Ranson DL (EDS) Craniofacial Identification in Forensic Medicine, London: Arnold, 151-164 10. B. Kringsholm, J. Jakobsen, B. Sejrsen, M. Gregersen. (2001). Unidentified bodies/skulls found in Danish waters in the period 19921996. Forensic Science International. 123: 150-158. 11. B. E. Anderson, B. O. Parks. (2008). Symposium on Border Crossing Deaths: Introduction. Journal of Forensic Sciences. 53(1): 6-7. 12. M. J. Hinkes. (2008). Migrant Deaths Along the California–Mexico Border: An 1. 39 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. Anthropological Perspective. Journal of Forensic Sciences. 53(1): 16-20. B. E. Anderson. (2008). Identifying the Dead: Methods Utilized by the Pima County (Arizona) Office of the Medical Examiner for Undocumented Border Crossers: 2001–2006. Journal of Forensic Sciences. 53: 8-15. T. W. Fenton, A. N. Heard, N. J. Sauer. (2008). Skull-Photo Superimposition and Border Deaths: Identification Through Exclusion and the Failure to Exclude. Journal of Forensic Sciences. 53(1): 34-40. C. Cattaneo, D. Porta, D. De Angelis, D. Gibelli, P. Poppa, M. Grandi. (2010). Unidentified bodies and human remains: An Italian glimpse through a European problem. Forensic Science International. 195:167.e1– 167.e6. S. Cavard, J. C. Alvarez, P. De Mazancourt, F. Tilotta, P. Brousseau, G. Loin de la Grandmaison, P. Charlier. (2010). Forensic and police identification of “X” bodies. A six year French experience. Forensic Science International. doi:10.1016/j.forsciint.2010.05.022. Hagemeier H. (1983). Identification of a skull by electronic superimposition of images. International Criminal Police Review. Dec: 286-290. G. Quatrehomme, M. Y. Iscan. (2000). Facial identification: computerized facial reconstruction. In: J. Siegel, ed. Encyclopedia of Forensic Sciences. London: Academic Press. Nickerson B. A., Fitzhorn P. A., Koch S. K., Charney M. (1991). A methodology for NearOptimal Computational Superimposition of Two Dimensional Digital Facial Photographs and Three-Dimensional Cranial Surface Meshes. Journal of Forensic Sciences. 36(2): 480-500. Brown K., Clarke B., Hollamby C., and Congdon I. (1981). Identification in the Truro Murders, Presented at the 7th Australian International Symposium on the Forensic Sciences, Sydney, Australia. McKenna J. J. I., Jablonski N. G., and Fearnhenf R. W. (1984). A Method of Matching Skulls with Photographic Portraits Using Landmarks and Measurements of the Dentition. Journal of Forensic Sciences. 29(3): 787-797. Komar D. A. and Buikstra J. E. (2008). Forensic Anthropology, comtemporary theory and practice. Oxford: Oxford University Press. 208-281. John Nyumbei v. PP. (2007). Criminal Law Journal. 509-521 Hetty, S. A. (2008/2009). Skull-photo superimposition: the state of the art in Malaysia and its legal significance, An 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. academic project submitted In partial fulfillment for the degree of Master of Criminal Justice, Faculty of Law, University Of Malaya. Snow C. C. (1976). A video technique for skull- face superimposition. Presented at the 28th Annual Meeting of the American Academy of Forensic Sciences, Washington. D.C. Dorion R. B. J. (1983). Photographic superimposition. Journal of Forensic Sciences. 28(3):724-734. Delfino P. V., Colonna M., Vacca E., Potente F., and Introna F. Jr. (1986). Computer-aided skull/face superimposition. The American Journal of Forensic Medicine and Pathology, 7(3):201-212. Iten P. X. (1987). Identification of Skulls by Video Superimposition, Journal of Forensic Sciences. 32(1): 173-188. McKenna J. J. I. (1988). A method of orientation of skull and camera for use in forensic photographic Investigation. Journal of Forensic Sciences. 33(3):751-755. Chandra Sekharan P. (1989a). The Problems of Positioning Skulls for Video Superimposition Technique. Journal of the Canadian Society of Forensic Science. 22(1): 21-25. Lan Y., and Cai D. (1993). Technical advances in skull-to-photo superimposition. In Forensic Analysis of the skull-Craniofacial Analysis, Reconstruction and Identification, eds. M. Y. İşcan and R. P. Helmer, New York: Wiley-Liss Inc.119-129. Yoshino M., Imaizumi K., Miyasaka S., and Seta S. (1995). Evaluation of anatomical consistency in cranio-facial superimposition images. Forensic Science International. 74:125-134. Jayaprakash P. T. (2001). Cranio-facial morphanalysis: a new method to enhance forensic identification of skull by photosuperimposition; and an analysis on the preadolescent permanence of skull suture patterns. Ph D thesis submitted to the University of Madras, India. M. Slaus, D. Strinovic, N. Pecina-Slaus, H. Brkic, D. Balicevic, V. Petrovecki, T. C. Pecina. (2007). Identification and analysis of human remains recovered from wells from the 1991 War in Croatia. Forensic Science International. 171: 37–43. S. Cavard, J.C.Alvarez, P.DeMazancourt, F.Tilotta, P.Brousseau, G. L. Grandmaison, P.Charlier. (2010). Forensic and police identification of ‘‘X’’ bodies. A6-years French experience, Forensic Science International. doi:10.1016/j.forsciint.2010.05.022. R. P. Rohan, M. Hettiarachchi, M. Vidanapathirana, S. Perera. (2009). 40 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 37. 38. 39. 40. 41. 42. 43. 44. 45. Management of dead and missing: Aftermath tsunami in Galle. Legal Medicine. 11: S86– S88. M. Petju, A. Suteerayongprasert, R. Thongpud, K. Hassiri. (2007). Importance of dental records for victim identification following the Indian Ocean tsunami disaster in Thailand. Public Health 121: 251–257. Sribandimongkol P., Pongpanitanont P., Porntrakulseree N., Pteju M., Kunaratanapruk S., Kitkailass P., Ganjanarintr P., and Somboonsub N. (2007). Forensic aspects of disaster casualty nmanagement Tsunami Victim Identification in Thailand. http://www.who.int/hac/events/tsunamiconf/pr esentations/2_16_forensic_pongruk_doc.pdf. accessed on 17.6.2007 Tsokos M., Lessig R., Grundmann C., Benthaus S. and Peschel O. (2006). Experiences in tsunami victim identification. International Journal of Legal Medicine. 120 (3): 1437-1596 (Online) Stewart T. D. (1979). Essentials of Forensic Anthropology. Charles C Thomas, Springfield, Illinois, USA. 229-234. Ubelaker D. H. (2000). A History of Smithsonian-FBI Collaboration in Forensic Anthropology, Especially in Regard to Facial Imagery. Paper presented at the 9th Biennaial Meeting of the International Association for Craniofacial Identification, FBI, Washington, DC July 24, 2000. K. T. Taylor, D. M. Glassman. (2000). Gross Morphological and Visual Examination Versus DNA Technology: Who Do You Trust? Forensic Science Communications. 2:4. J. P. Baraybar. (2008). When DNA is Not Available, Can We Still Identify People? Recommendations for Best Practice. Journal of Forensic Sciences. 53(3): 533-540. Aulsebrook W A., Iscan M. Y., Slabbert J. H., Becker P. (1995). Superimposition and reconstruction in forensic facial identification: a survey. Forensic Science International. 75(23):101-20. Ubelaker D. H., Bubniak E. and O’Donnel G. (1992). Computer-assisted Photographic Superimposition. Journal of Forensic Sciences. 37: 750-762. 46. Koelmeyer T. D. (1982). Video camera Superimposition and Facial Reconstruction as an Aid to Identification. The American Journal of Forensic Medicine and Pathology. 3(1): 4548. 47. Austin- Smith D., and Maples W. R. (1994). The Reliability of Skull/Photograph Superimposition in Individual Identification. Journal of Forensic Sciences. 39(2): 446-455. 48. Seta S. and Yoshino M. A. (1993). Combined Apparatus for Photographic and Video Superimposition. In: İşcan M Y, Helmer R P.(eds). Forensic Analysis of the Skull Craniofacial Analysis, Reconstruction, and Identification. New York: Wiley Liss Inc. 161169. 49. Noorazma S., Shahrom A. W. (2007). Identification of a charred skull: A case report. Journal of Forensic Medicine & Toxicology. 24(2): 15-19. 50. B. Scully, P. Nambiar. (2002). Determining the validity of Furue’s method of craniofacial superimposition for identification. Annals of Dentistry University of Malaya. 9: 17-22. 51. Rajion Z. A., Suwardhi D., Setan H., Chong A. K., Majid Z., Ahmad A., Samsudin A., AbAziz I. and Harun W. A. W. (2005). Coordinate systems integration for development of Malaysian craniofacial database. Proceedings Of 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, People’s Republic Of China, pp. 5112-5115. 52. İşcan M. Y. (1993b). Introduction of Techniques for Photographic Comparison:Potential and Problems, In: İşcan M Y Helmer R P. (Eds), Forensic Analysis of the Skull Craniofacial Analysis, Reconstruction, and Identification. New York: Wiley Liss Inc. 57-70. Additional information and reprint requests: P.T Jayaprakash (Email: ptjaya@kb.usm.my) Forensic Science Programme School of Health Sciences Universiti Sains Malaysia 16150 Kubang Kerian, Kelantan, Malaysia 41 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 A Review on Solid Phase Microextraction and Its Applications in Gunshot Residue Analysis Kah-Haw Changa, Ahmad Fahmi Lim Abdullaha a Forensic Science Programme, School of Health Sciences,Universiti Sains Malaysia, Kelantan, Malaysia ABSTRACT: Sample preparation is important to prepare a sample for optimum performance characteristics during analytical procedure. A review of papers on the practical applications of solid phase microextraction (SPME) is presented particularly in the analysis of gunshot residue (GSR). The general introduction on SPME and its theory are included. This review highlights the variables related to this technique during the analysis of GSR in previous studies, namely type of SPME fiber used, sampling placement, adsorption and desorption temperature and time, as well as the analytical techniques for final analysis. Apart from that, advantages and limitations of SPME based gas chromatographic methods of GSR are explored. SPME is found to be a superior sample preparation technique targeting for organic components, including GSR analysis. Gas chromatography combined with varied detection systems performed prior to SPME gives low detection limits in simpler, easier and rapid manner. Keywords: solid phase microextraction, gunshot residue, firearm, sample preparation, gas chromatography Introduction In every analysis, multistep process is always involved, including sampling, preparation of sample, separation, qualitative and quantitative determination, and statistical evaluation and finally the result, decision and action. During any analytical procedure, sample preparation is the crucial step in order to prepare the sample for optimum performance characteristics on its examination. The recovery of the concentration of components in interest is aimed to increase in quantity apart from the elimination of any interfering substance that may exist in a particular sample. The efficiency and selectivity of sample preparation technique undertaken during analysis, as well as its applicability to the interested compounds and matrices provide benefits in numerous analytical techniques for good outcomes and results. Additionally, easy to use, inexpensive and compatible with a number of instrumental methods are the requirements of an ideal sample preparation technique. In this paper, we review the solid phase microextraction (SPME) technique and its forensic application particularly in gunshot residue (GSR) analysis. SPME Technique Various techniques for sample preparation have been developed previously. It was difficult to extract the total quantity of compounds by both dry and wet methods in the past for the purpose of determination and quantitation. Extraction of a sample with different solvent, evaporation steps with gas phase collection, solid phase extraction (SPE) and most recently SPME have been carried out in published studies. SPME is a sample preparation or extraction technique developed by Pawliszyn and his group in early 1990s which can be used in both in laboratory and on-site [1, 2]. This technique has gained popularity among scientists and researchers with the presence of advantages in its application in various fields, including forensic perspective. In SPME technique, it involves the use of fused silica fiber, which is very well defined in cylindrical surface geometry. This configuration allows easy assessment of analyte to and from the surface. This fiber is coated with an extracting phase. Such extracting phase can be a liquid or a solid comprised of a variety of conventional stationary phases. Different kinds of analytes, including both volatiles and non-volatiles can be extracted from different kinds of media in either liquid or gas phase. With SPME, analytes are trapped on the fiber coated with liquid polymer or solid sorbent during extraction followed by desorption into the chromatographic mobile phase for analysis [1, 2]. SPME is an equilibrium method that incorporates sampling, isolation and enrichment into a single step, applicable to gaseous, liquid and solid samples. It is a simple, convenient, reproducible and sensitive means for extraction of forensic specimen with wide linearity range and relatively good precision. SPME technique can be used for the extraction of analytes from very small samples due to its setup. Lower detection limits are permitted by its application at part per trillion 42 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 concentrations. The elimination of solvents, reduction of blanks and also the extraction time to a few minutes are advantages of this extraction technique, reducing the cost and the risk of exposure to potentially hazardous solvents. As an equilibrium technique, it eliminates any exhaustive extraction of a sample. Additionally, the chemical equilibria in a particular system is not likely to be disturbed or disrupted as only a minute amounts of analytes are removed on extraction. Additionally, it allows multiple sampling and preservation of the sample while minimizing the risk of contamination due to sample handling and storage [1-4]. equilibrium between sample matrix and fiber coating is achieved. With the achievement of equilibrium, the amount of analytes extracted by a SPME fiber is proportional to its concentration in the sample without being dependent on the sample volume. Such relationship gives the basis for quantitation on analytes that are present in sample. For both direct and headspace system, the equilibrium concentration is independent on the fiber location. Volatile analytes are extracted faster than those which are semi-volatiles due to their higher concentration in the headspace system, contributing to faster mass transport rate [1, 2]. A number of fiber types have been considered previously in SPME technique to maximize its potential applications such as polyacrylate (PA), carboxen, polydimethylsiloxane (PDMS) and divinylbenzene (DVB) as the commonly used types. Generally, the types of fiber to be considered depend on the compounds that desired to be extracted from a sample. The chemistry of compounds may decide the adsorption and desorption behaviours on a particular fiber type. Analytes varied in polarities may require different fiber chemistries. In conjunction, the thickness or area of each fiber can be differed which decides the sensitivity of the fiber. The temperature has a significant effect on the kinetics of this extraction process which depends highly on the thermal stability and volatility of the compound interested for analytical measurement. Apart from that, the optimum extraction times of this technique are affected by the combination of variables that mentioned previously [1-4]. After extraction, the fiber is withdrawn into the needle of SPME device and transferred to the injection port of instrument for desorption of analytes to be taken place. This is carried out with the piercing of the needle through a septum. Therefore, analytes are desorbed thermally and transferred with the carrier gas into the column in high temperature condition. Before any analysis, it is crucial for blank runs to be performed between samples in order to ensure that the fiber and GC injection port were free of residues. Moreover, the calibration of SPME requires special care which generally consists of proper standard mixture preparation, proper calibration and establishment of the relationship between instrument response and analyte content. Finally, different detector systems can be considered for the identification and quantitative analysis, depending on the required sensitivity and selectivity of the performed analysis [1, 2]. Using SPME, there are two sampling placement of fiber for extractions that can be performed, namely direct extraction and headspace (indirect) configuration. Direct extraction mode involves the direct partitioning of analytes from the sample matrix to the extracting phase. Therefore, the coated fiber of SPME is inserted directly into the sample being examined. In latter mode, air becomes the barrier for extraction. Analytes need to be transported through the barrier to reach the coating. However, this placement of fiber protects the coating of fiber from damage by non volatile and high molecular weight interferences that could be present in sample matrix. Generally, more volatile and more hydrophilic analytes are said to be best recovered by headspace sampling. On the other hand, direct sampling from aqueous samples is the preferred mode for less volatile and more hydrophobic compounds [1, 2]. Forensic Application in GSR Analysis As the coated fiber placed in contact with the sample, the transport of analytes into the coating from the matrix starts. Generally, the extraction is considered to be complete when the distribution Since the development of SPME as a powerful sample preparation technique, it has been used extensively in the analysis of chemical traces in forensic applications, including toxicology [5, 6], narcotics [7-11], arson investigation [3, 12-17] and explosive identification [3, 18-23]. Here, we review the previously published studies on the application of SPME technique in GSR analysis. The variables in such application, namely the fiber chemistry (type and thickness of stationary phase), sampling placement, adsorption and desorption temperature and time, as well as the analytical techniques for final analysis are included. Additionally, advantages of SPME in GSR analysis and its problems encountered during the analysis are also mentioned in this review. The application of SPME technique in GSR analysis has gained popularity in recent years. In such analysis, volatile organic compounds (VOCs) from the gunpowder or propellant composition of ammunition are the targeted analytes to be 43 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 examined. VOCs refer to the organic compounds with significant high vapour pressure at atmospheric condition. In other words, they tend to vapourize in atmospheric pressure and temperature. Propellant, a chemical of mixture of chemicals, found inside the cartridge case is the fuel used to fire a bullet. Burning of the propellant initiated by the ignition of primer produces gases rapidly followed by the sudden increase of pressure inside the case. As a result, the bullet is detached from casing and directed towards the target [24]. The formula of the gunpowder could be varied based on the use of particular ammunition due to the desired ballistics performance and stability characteristics. However, the analysis of VOCs was found to be difficult due to their low concentration in a sample. In addition, analytical standard and non-polluted sample preparation are required during their examination. Therefore, SPME is found to be the solution for these problems. In 1998, SPME was first employed by Andrasko et al. in the examination of GSR [25]. In the performed study, the time since discharge was estimated through SPME sampling from the atmosphere inside the barrel of a shotgun. The detector systems, gas chromatography/thermal energy analyzer (GC/TEA) and gas chromatography/flame ionization detector (GC/FID) were used for its determination on the basis of the rate of escape of volatile combustion product as a function of time. With SPME technique, the analysis of GSR on the estimation of time since discharge has continued on the different types of firearms and ammunition. Following the study by Andrasko et al. (1998), the SPME technique has been used successfully for detection of various volatile compounds inside firearm barrels [26-28] as well as inside spent cartridges [29-31]. This SPME is said to be suited for headspace sampling from narrow spaces like firearm barrel by simply pushing the SPME holder inside the barrel from the muzzle of a firearm [25-27]. As compared to other headspace sampling techniques, passive adsorption process of SPME has minimized the disturbance of such extraction to the system. For the improvement of SPME technique, modification of the liner on the injector of a chromatographic system was suggested by Andrasko and Stahling (2000) and Andrasko and Stahling (2003) [26, 27]. According to the authors, specially designed liner for desorption of VOCs was used in the injector compartment of a GC instrument. Such liner with smaller inner diameter (0.75 mm) reduces the desorption volume inside the liner and thus minimize the peak broadening of most VOCs. Apart from that, the increment in the sampling time using SPME was found to improve the sensitivity for detection of VOCs [27]. Other than TEA and FID as the detection systems as mentioned previously, mass spectrometry (MS) is another technique that was considered for GSR analysis following extraction procedure by SPME which was greatly increased in its use for forensic purposes [30-32]. Since the VOCs present in a cartridge tends to disappear into the surroundings with time, a procedure to preserve them from vaporization have to be developed for analysis. In 2003, the method of placing a shotgun shell in a vial was suggested by Wilson et al. in order to prevent the escape of VOCs before analysis [30]. In the method suggested, a hole was drilled through the center of the lid but not through the Teflon inner lining of the cap. This allowed for easy SPME sampling without opening the vial or disturbing the shell. Additionally, repetitive samplings can be performed easily without disturbing chemical equilibria in the system. There was no observable tendency for the repeatedly sampled cartridges to show lower concentration [30]. However, this was criticized by Weyermann et al. (2009) as repetitive sampling may decrease the amount of analytes with consecutive sampling, especially for smaller caliber type ammunition [31]. In 2009, SPME was adopted to extract OGSRs from a single particle of partially burnt gunpowder by Burleson et al. (2009) [33]. OGSRs from only one single particle of partially burnt gunpowder were successfully extracted by SPME and analyzed by gas chromatography/nitrogen phosphorus detection (GC/NPD). The study showed that the new extraction method is capable of extracting trace amount of organic GSRs as signature molecules for the identification of GSR. Recently, the introduction of ion mobility spectrometry (IMS) techniques following SPME permitted the detection of trace amount of smokeless powders which are the main components in ammunition, on the discharge of any firearm. With the combination of SPME and IMS, the detection limit in nanogram range can be achieved in very short analysis time [32]. A summary of published applications of SPME on GSR analysis is presented in Table 1. 44 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Table 1: Published applications of SPME on GSR analysis Source of GSR Shotgun Sampling placement Headspace (exposed to atmospheri c inside barrel) Fiber coating PA, 85 µm Rifle PA, 85 µm Pistol and revolver Headspace (exposed to atmospheri c inside barrel) Carboxen/ PDMS, 85 µm PA, 85 µm CW/DVB, * Spent cartridge Shotgun shell Spent cartridge NG, 2,4-DNT, 2,6-DNT, unidentified compounds DPA, Nap Headspace (exposed to atmospheri c inside barrel and cartridge) Headspace (exposed to atmospheri c inside cartridge) Target analyte Unidentified compounds Unidentified compounds NG, unidentified compounds PA, 85 µm Naphthalene, biphenyl Headspace (from corked and vial samples with shells) PA, 85 µm Naphthalene, biphenylene, DPA, unidentified peak (10.9 min) Headspace (from vial samples) PA, 85 µm PDMS, 100 µm Carboxen/ PDMS, 75 µm Benzonitrile, phenol, 2-ethyl1-hexanol, naphthalene, 1,2dicyanobenzene, DPA Smokeless powder (Commerc ially available) Headspace (from vial samples) Gunpowd er particle Headspace (from vial samples) PDMS, 100 µm PDMS, 100 µm DPA, EC, 2,4DNT, 2-ethyl-1hexanol DPA, NDPA, DNDPA, MC, EC Extraction and desorption conditions TC= 200oC, C= 7 min, E= 30 min, TS= r.t, TD= 170oC, D= 7 min TC= 200oC, C= 7 min, E= 30 min, TS= r.t, TD= 200oC, D= 7 min TC= 200oC, C= 7 min, E= 20 min, TS= r.t, TD= 170oC, D= * TC= 170oC, C= 10 min, E= 40 min, TS= r.t, TD= 170oC, D= * Limit of detection (LOD) Peak height ca. 500 mV Peak area 500 Peak height ca. 0.3-14.5 mV (muzzle), 2.0-11.8 mV (cartridge) Peak height ca. 0.35-8.6 mV TC= 200oC, C= 7 min, E= 20 min, TS= r.t, TD= 170oC, D= 7 min TC= 200oC, C= 7 min, E= 20 min, TS= r.t, TD= 170oC, D= 7 min TC= 200oC, C= 10 min, E= 20 min, TS= r.t, TD= 200oC, D= 10 min Peak height ca. 0.5 mV TC= 280oC, C= 15 min, E= 40 min (80 min), TS= 40oC, TD= 280oC, D= 5 min nanogram TC= *, C= *, E= 5 – 120 min, TS= *, TD= 280oC, D= * TC= *, C= *, E= 5 – 40 min, TS= *, TD= 215oC, D= *, TDT= 180oC TC= 250oC, C= 5 min, E= 45 min, TS= 95oC, TD= 250oC, D= 2 min 0.15 – 3 ng Peak area ca. 17-23 Final analysis Reference GC/TEA [25, 28] GC/FID GC/TEA [26] GC/TEA [27] GC/TEA [29] GC/FID * 0.12-1.2 ng GC/MS [30] GC/MS [31] GC/MS [32] IMS 10 ng GC/NPD [33] TC= Conditioning temperature, C= Conditioning time, E= Fiber exposition time, TS= Sampling temperature, TD= Desorption temperature, D= Fiber desorption time, TDT= Drift tube temperature; PA= polyacrylate, PDMS= polydimethylsiloxane, CW= carbowax, DVB= divinylbenzene; NG= nitroglycerine, DNT= dinitrotoluene, DPA= diphenylamine, NDPA= nitrodiphenylamine, DNDPA= dinetrodiphenylamine, MC= methyl centralite, EC= ethyl centralite; GC= gas chromatography, TEA= thermal energy analyzer, FID= flame ionization detection, MS= mass spectrometry, NPD= nitrogen phosphorus detection, IMS= ion mobility spectrometry; *= not given 45 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Conclusion During analysis, the main difficulty encountered in method developments was the reliability of the sampling method. SPME was shown to be a superior alternative for such purpose, including in the analysis of GSR. In GSR analysis, desorption and analysis of volatile samples collected by SPME is most often performed using GC with different detection systems. As mentioned by numerous authors, SPME can give low detection limit with simpler, easier, faster and sensitive procedure. Considerably advantages do exist for SPME followed by sensitive analytical analysis was found to be adequate for analysis of organic volatile residues, especially in GSR. 8. 9. 10. Acknowledgements Institute of Postgraduate Studies (IPS), Universiti Sains Malaysia is thanked for financial support. 11. References 1. 2. 3. 4. 5. 6. 7. Arthur C. L., Pawliszyn J. (1990). Solid phase microextraction with thermal desorption using fused silica optical fibers. Analytical Chemistry. 62(19): 2145-8. Pawliszyn J. (1997). Solid phase microextraction: theory and practice. New York: John Wiley & Sons, Inc. Furton K. G., Almirall J. R., Bi M., Wang J., Wu L. (2000). Application of solid-phase microextraction to the recovery of explosives and ignitable liquid residues from forensic specimens. Journal of Chromatography A. 885: 419-32. Namiesnik J., Zygmunt B., Jastrzebska A. (2000). Review: Application of solid-phase microextraction for determination of organic vapours in gaseous matrices. Journal of Chromatography A. 885: 405-18. Tranthim-Fryer D. J., Hansson R. C., Norman K. W. (2001). Headspace/solid-phase microextraction/gas chromatography-mass spectrometry: a screening technique for the recovery and identification of volatile organic compounds (VOC's) in postmortem blood and viscera samples. Journal of Forensic Sciences. 46(4): 934-46. Kim N. Y., Park S. W. (2000). The comparison of toluene determination between headspacesolid phase microextraction and headspace methods in glue-sniffer's blood and urine samples. Journal of Forensic Sciences. 45(3): 702-7. Coumbaros J. C., kirkbride K. P., Klass G. (1999). Application of solid-phase 12. 13. 14. 15. 16. 17. 18. microextraction to the profiling of an illicit drug: manufacturing impurities in illicit 4methoxyamphetamine. Journal of Forensic Sciences. 44(6) :1237-42. Vu D. T. (2001). SPME/GC-MS characterization of volatiles associated with methamphetamine: toward the development of a pseudomethamphetamine training material. Journal of Forensic Sciences. 46(5): 1014-24. Meyers J. E., Almirall J. R. (2005). Analysis of gamma-hydroxybutyric acid (GHB) in spiked water and beverage samples using solid phase microextraction (SPME) on fiber derivatization/gas chromatography-mass spectrometry (GC/MS). Journal of Forensic Sciences. 50(1): 31-6. Brown H., Kirkbride K. P., Pigou P. E., Walker G. S. (2003). New developments in SPME, Part 1: The use of vapor-phase deprotonation and on-fiber derivatization with alkylchloroformates in the analysis of preparations containing amphetamines. Journal of Forensic Sciences. 48(6): 1231-8. Koester C. J., Andresen B. D., Grant P. M. (2002). Optimum methamphetamine profiling with sample preparation by solid-phase microextraction. Journal of Forensic Sciences. 47(5): 1002-7. Yoshida H., Kaneko T., Suzuki S. (2008). A solid-phase microextraction method for the detection of ignitable liquids in fire debris. Journal of Forensic Sciences. 53(3): .668-76. Furton K. G., Almirall J. R., Wang J., Bruna J. C. (1996). A novel method for the analysis of gasoline from fire debris using headspace solid-phase microextraction. Journal of Forensic Sciences. 41(1): 12-22. Almirall J. R., Wang J., Lothridge K., Furton K. G. (2000). The detection and analysis of ignitable liquid residues extracted from human skin using SPME/GC. Journal of Forensic Sciences. 45(2): 453-61. Ren Q., Bertsch W. (1999). A comprehensive sample preparation scheme for accelerants in suspect arson cases. Journal of Forensic Sciences. 44(3): 504-15. Harris A. C., Wheeler J. F. (2003). GC-MS of ignitable liquids using solvent desorbed SPME for automated analysis. Journal of Forensic Sciences. 48(1): 41-6. Lloyd J. A., Edmiston P. L. (2003). Preferential extraction of hydrocarbons from fire debris samples by solid phase microextraction. Journal of Forensic Sciences. 48(1): 130-4. Furton K. G., Wu L., Almirall J. R. (2000). Optimization of solid-phase microextraction (SPME) for the recovery of explosives from aqueous and post-explosion debris follwed by 46 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 19. 20. 21. 22. 23. 24. 25. 26. gas and liquid chromatographic analysis. Journal of Forensic Sciences. 45(4): 857-64. Kirkbride K. P., Klass G., Pigou P. E. (1998). Application of solid-phase microextraction to the recovery of organic explosives. Journal of Forensic Sciences. 43(1): 76-81. Monteil-Rivera F., Beaulieu C., Deschamps S., Paquet L., Hawari J. (2004). Determination of explosives in environmental water samples by solid-phase microextraction-liquid chromatography. Journal of Chromatography A. 1048: 213-21. Muller D., Levy A., Shelef R., AbramovichBar S., Sonenfeld D., Tamiri T. (2004). Improved method for the detection of TATP after explosion. Journal of Forensic Sciences. 49(5): 935-8. Psillakis E., Kalogerakis N. (2001). Solid phase microextraction versus single-drop microextraction for the analysis of nitroaromatic explosives in water samples. Journal of Chromatography A. 938: 113-20. Brown H., Kirkbride K. P., Pigou P. E., Walker G. S. (2004). New developments in SPME part 2: analysis of ammonium nitratebased explosives. Journal of Forensic Sciences. 49(2): 215-21. Meng H. H., Caddy B. (1997). Gunshot residue analysis-a review. Journal of Forensic Sciences. 42(4): 553-70. Andrasko J., Norberg T., Stahling S. (1998). Time since discharge of shotguns. Journal of Forensic Sciences. 43(5): 1005-15. Andrasko J., Stahling S. (2000). Time since discharge of rifles. Journal of Forensic Sciences. 45(6): 1250-5. 27. Andrasko J., Stahling S. (2003). Time since discharge of pistols and revolvers. Journal of Forensic Sciences. 48(2): 307-11. 28. Andersson C., Andrasko J. (1999). A novel application of time since the latest discharge of a shotgun in a suspect murder. Journal of Forensic Sciences. 44(1): 211-3. 29. Andrasko J., Stahling S. (1999). Time since discharge of spent cartridges. Journal of Forensic Sciences. 44(3): 487-95. 30. Wilson J. D., Tebow J. D., Moline K. W. (2003). Time since discharge of shotgun shells. Journal of Forensic Sciences. 48(6): 1298-301. 31. Weyermann C., Belaud V., Riva F., Romolo F. S. (2009). Analysis of organic volatile residues in 9 mm spent cartridges. Forensic Science International.186: 29-35. 32. Joshi M., Delgado Y., Guerra P., Lai H., Almirall J. R. (2009). Detection of odor signatures of smokeless powders using solid phase microextraction coupled to an ion mobility spectrometer. Forensic Science International. 188: 112-8. 33. Burleson G. L., Gonzalez B., Simons K., Yu J. C. C. (2009). Forensic analysis of a single particle of partially burnt gunpowder by solid phase micro-extraction-gas chromatographynitrogen phosphorus detector. Journal of Chromatography A. 1216: 4679-83. Additional information and reprint requests: Chang Kah Haw (E-mail: edwardchangkahhaw@hotmail.com) Forensic Science Program School of Health Sciences Universiti Sains Malaysia 16150 Kubang Kerian, Kelantan, Malaysia 47 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Analysis of Gunshot Residue Deposited on Cotton Cloth Target at Close Range Shooting Distances Mohamed Izzharif A. Halima, Umi Kalthom Ahmada, Chong-Hooi Yewb, Muhammad Koey Abdullahb a Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia b Royal Malaysia Police Forensic Laboratory, Mile 8 ½, Cheras, Selangor, Malaysia ABSTRACT: The study of gunshot residue (GSR) has become imperative in forensic firearm examination. It may be used to estimate firing distance, to identify bullet holes and to determine whether or not a person has discharged a firearm. This study emphasized on the examination of the pattern of GSR particles deposited on cotton cloth target at different shooting distances (3 inch-12 inch). Two types of pistol (semiautomatic and revolver) and ammunitions (Syarikat Malaysia Explosive (SME) and Winchester) were used for the shooting test. All shooting tests were performed at Lapang Sasar of Pasukan Gerakan Am PDRM, Cheras. The results showed that GSR particles produced on cotton cloth by semiautomatic pistol using SME 9 mm ammunition generated higher amount and larger GSR particles which were almost completely burnt particles. The nitrite residues were confirmed using modified Griess test that revealed semiautomatic pistol produced considerable amount of nitrite residues. Scanning Electron Microscope (SEM) micrograph of GSR particles discharged from semiautomatic pistol using SME 9 mm ammunition revealed a mean particle size of 2.6 µm with spherical shapes. On the other hand, using revolver pistol with SME 0.38 Special ammunition, the GSR particles produced were small in amount. The modified Griess test also revealed that revolver pistol generated tiny amount of nitrite residues. Nevertheless, using Winchester 0.38 Special ammunition, the GSR particles discharge were of high amount and large in size which composed of completely unburned, partially burnt and completely burnt particles. Whereas SEM micrograph of GSR particles discharged from revolver pistol using Winchester 0.38 Special ammunition generated irregular cluster grain with a mean diameter of 3.3 µm. Sodium rhodizonate test was successfully applied for detecting the presence of lead residues around the bullet hole for both pistols. Keywords: gunshot residue, modified Griess test, scanning electron microscope, sodium rhodizonate test. Introduction During investigative proceedings of incidents involving the use of firearms, forensic expertise can provide key elements for the court to reach an opinion. In such context, particular attention is usually drawn to evaluative issues associated with firearms and related evidence such as gunshot residues (GSR). Upon arrival at the scene, it is the responsibility of the police to start the difficult job of determining the sequence of events of the case especially when shooting is involved. When a gun is being fired, both burned and unburned powders from the propulsive charge as well as components from the primer, the bullet and the cartridge case form a cloud that may cause a roughly circular pattern around the bullet hole upon contact which is called GSR [1]. The pattern of GSR is significantly influenced by various factors including the different muzzle-totarget angles, firing distances, type of ammunition and weapon parameters, caliber and barrel length [2]. However, there is increasing pressure from the judicial system to identify an ammunition type, and hence the weapon type which may have been involved in an incident based on GSR collected [3]. Thus, this study emphasize on the pattern of GSR on cloth target for different pistols and ammunition used. It is apparent that collecting cloth evidence bearing GSR has more potential for providing inculpatory evidence in some cases than bare hand sampling. GSR retained on clothing are considerably longer than skin surfaces resulting in a high probability of their detection and identification from that source [4]. If someone is standing close enough to the gun as it is fired, the GSR will appear on the person’s clothing. Thus, the estimation of distance from the weapon’s muzzle to target material of clothing may be in an important factor in an investigation [5]. The pattern of gunshot residue may vary with different distances [6]. Numerous studies have been published on the analysis of GSR by various analytical methods. At close distances when many smokeless powder particles are present on target 48 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 material, a typical pattern can be established by the modified Griess test and hence the shooting distance can easily be estimated [7]. Another chemical test used to estimate the firing distance is known as sodium rhodizonate test which is used as a spot test for lead residues [8]. Therefore, these chemical tests were used in this study to restore insufficient interpretation of GSR pattern from visual examination by the naked eyes as well as microscopy. at different distances from the shooter. Two types of firearm, a 0.38 Revolver Smith & Wesson and a 9 mm semi-automatic Yavuz 16 Compact were prepared. Prior to firing on the cloth target, at least three shots were fired to safe target area in order to ensure that the barrels will be coated with smoke and powder residues for the whole series of shots to the target samples. The set-up for this experiment and all shooting were performed by specialized police officers at Lapang Sasar Pasukan Gerakan Am (PGA) PDRM, Cheras. Experimental Shooting Test Chemicals and Materials The objective in this shooting test was to estimate the effective firing distance from the muzzle to the cloth target. The distances were focused at close ranges which were 3, 6, 9 and 12 inches. These distances were chosen in this shooting test as the nitrite is only effectively detected at the distance less than 15 inch (Jeffrey, 1998). The shots were tested at 90 degrees to the target. Each of the distance was repeated three times so that the modified griess test (MGT) and sodium rhodizonate test (SRT) could be applied on separate cloth target bearing the GSR. The chemical reagents needed for the chemical tests were sodium rhodizonate, sodium bitartrate from Sigma Aldrich, Germany; tartaric acid, sodium nitrite and methanol from QReC; hydrochloric acid from J. T. Baker, Mexico; and sulfanilic acid, alpha-naphthol and glacial acetic acid from Merck from Germany. The chemicals were all of analytical grade from a range of suppliers. Two types of pistol used for the shooting test were a 0.38 Revolver Smith & Wesson (serial number: D943607 from USA) and a 9 mm semiautomatic Yavuz 16 Compact (serial number: T 0624-06 TF 022891 from Russia). The ammunition used were Syarikat Malaysia Explosive (SME) 9 mm with full metal jacketed (FMJ) round nose design, SME 0.38 Special with lead round nose (LRN) design and Winchester 0.38 Special with lead round nose (LRN) design. In order to perform chemical tests, uncontaminated iron (Panasonic brand), plastic tray, spray bottle (300 mL), filter paper (A4 size) and cotton swab were procured. Other materials and apparatus (stand, soft plastic cardboard pad, stick to hold the cloth item) relating to the shooting tests were provided by PDRM. A Nikon D60 18-55 VR Kit digital camera (made in Japan) was used to photographed the GSR images. Instrumentation Scanning electron microscope (SEM) model FEI Quanta 200F equipped with xT Microscope Control software was employed for morphological and microstructure of GSR particles. Target Material and Firearm Preparation Cotton cloth targets (25 cm x 25 cm) were used for the shooting test. Each cloth was placed over a 60 x 65 cm soft plastic cardboard pad and stapled to it. The soft plastic cardboard padding which was fixed to a wooden frame stand was 115 cm above the ground. The cloth was not stretched but pulled tight enough to eliminate wrinkles in the fabric. The stand bearing the cloth target was then positioned Chemical Tests For the modified Griess test, the precut sheets of filter paper (A4 size) were briefly submerged in the mixture consisted of a solution of 0.5 g of sulfanilic acid in 100 mL of deionized water and a solution of 0.28 g of alpha-napthol in 100 mL of methanol. Then, 15 % acetic acid was sprayed on the cloth bearing GSR particles on the side of bullet entrance. Then, the sample was placed face down on the filter paper. Again, acetic acid was sprayed but on the side of bullet exit until the cloth was dampened. The layers were pressed with a hot uncontaminated iron. Acetic acid steam was forced through the layers, causing the colour-producing reaction. The cloth item was then separated from the filter paper. An orange colouration on the paper indicates the presence of nitrite residues. For sodium rhodizonate test, the test area was initially sprayed with the saturated solution of sodium rhodizonate. The solution was prepared by dissolving a small amount of sodium rhodizonate (about 0.2 g) in 100 ml deionized water to form a saturated solution that was approximately the colour of dark tea. After that, the same area was then sprayed with the buffer solution. The buffer solution was prepared by dissolving 1.9 g of sodium bitartrate and 1.5 g of tartaric acid in 100 mL of deionized water. The resulting solution was heated on a hot plate while agitating with a magnetic stirrer to produce a pH 2.8 buffer solution. This solution eliminates the yellow background 49 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 colour caused by the sodium rhodizonate, establishes a pH 2.8, and displays a pink colour in the presence of lead. SEM analysis Scanning electron microscopy (SEM) of individual particle analysis was employed for this study to examine the characteristic GSR particles. As the GSR is non-conductive, low vacuum mode was used. GSR were sampled from the cloth target by carefully pressing the double-sided carbon base tape cut to 8 mm in length onto cloth bearing GSR particles. Subsequently these tapes were fixed to a cylinder that was rotated within the SEM chamber and adjustable in an axial direction. The tapes bearing GSR particles were scanned for possible GSR particles with simultaneous SE and X-ray imaging. The outcome was a microstructure image of the GSR particles with desired magnification. Results and Discussion (A) Semiautomatic Pistol GSR at different shooting distances 1) Visual Examination The estimation of shooting distance were first made based on the direct and visual examination of the cloth target and then treatment with specific chemical regents as stated by proposed by previous researchers [9]. Sodium rhodizonate test, a method that would reveal the GSR pattern on the item in situ can minimize the loss of the GSR during the transfer of the evidence. Whereas, modified Griess test needs to be performed in the laboratory as it requires troublesome procedures. The shooting distances selected were 3, 6, 9, and 12 inches. After the cloth target was shot, the pattern of the GSR produced was photographed using a Nikon digital camera before subjected to further chemical tests. There were three areas in the GSR pattern that need to be observed and examined which were the plume line, particle and sooting of GSR. These three areas could serve as the indicator for the characteristic of the pattern of GSR at different shooting distance. Fig. 1 shows the appearances of cotton cloth shot using semiautomatic and revolver pistols respectively at different shooting distances. 2) Modified Griess Test Therefore, the modified Griess test is a test to detect the presence of nitrites residues. After visually examine an exhibit of a real case, modified Griess test could be applied to determine a muzzleto-garment distance. The colour of orange specks on the filter paper were the result of chemical reaction involved between acetic acid vapors (steam ironing on the back of cloth target), nitrite residues and the chemicals contained in the filter paper [9]. For cloth target shot using semiautomatic at different shooting distances, intensity of the orange colouration decreased with increasing distance of muzzle-to-target. This implied that nitrite residues could still be detected up to 12 inch shot distance. It is estimated beyond 15 inch muzzle-to-target distance, nitrite residue could not be detected on the cloth bearing GSR fired by both types of pistols. This is in agreement with that reported by previous study [10]. Another test conducted on the cloth bearing GSR was the sodium rhodizonate test. Information from this test may also assist in establishing a muzzle-totarget distance. The positive test for sodium rhodizonate test indicates that the lead may originate from lead-bearing bullet or/and vaporous lead residue from the primer. The test was performed by spraying the exhibit with a weak solution of sodium rhodizonate followed by a buffer solution which caused the background colour to disappear. The reagent reacted with any lead that may be present and produced very bright pink colour. At a firing distance of 3 inch, an intense pink circular colouration around the bullet hole was clearly visible on cloth target fired using semiautomatic pistol. With increasing firing distance from 3 to 12 inch, the pink circular colouration appeared to be less intense. For distance of 12 inches, the pink colouration was very tiny indicating that the lead residue could only be detected up to 12 inch away from the cloth target. The diameter of the pink colouration gradually decreased and the pink colouration became less intense with increasing distance. Therefore, it indicated that the lead residues were only present in considerable amount at very close firing distance. 3) Sodium Rhodizonate Test It is found that the particles appeared as spherical shape with an average diameter 1.5 µm. Some of them were perfect spheres, sometimes hollow, and minor were irregular and distorted which is in close agreement with previous study [11]. When a firearm is discharged, nitrite particles are expelled from the muzzle of a firearm and can be imbedded in or deposited on the surface of a target. Nitrite residues are by-products of completely burnt particles of smokeless gunpowder. 50 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 (A) collected from the cloth using double-backed carbon tape SEM stub. It was then placed on the SEM stage for further examination. By means of computer system, the stub was scanned to locate specific area that could produce an image of the GSR particles either by low or high magnification. Fig. 2 represents SEM micrograph for a GSR particle discharged from semiautomatic pistol using SME 9 mm ammunition. (B) (C) Fig. 2: SEM micrograph for GSR particles discharged from semiautomatic pistol using SME 9 mm ammunition at 8000x magnification. (B) Revolver Pistol GSR at different shooting distances 1) Visual Examination (D) In this study, the pattern of GSR deposited on cloth target for revolver pistol was also investigated. All the methods and procedures involved when dealing with semiautomatic pistol were repeated for the revolver pistol. Therefore the examination and analysis for the GSR produced using revolver pistol were based on semiautomatic pistol in order to estimate the shooting distance. Fig. 3 shows the GSR pattern generated on cotton cloth target using revolver pistol. 2) Modified Griess Test Fig. 1: Pattern of GSR on cotton cloth fired using semiautomatic pistol at different firing distances (A) 3 inch, (B) 6 inch, (C) 9 inch and (D) 12 inch. Scanning Electron Microscopy Scanning electron microscope was carried out to determine the morphology and microstructure of the GSR particles. For the examination, GSR were After visual examination, the cloth target bearing GSR were subjected to the modified Griess test to visualize the nitrite residues expelled from the revolver pistol. As in modified Griess test for semiautomatic pistol, the colour of orange specks on the filter paper appeared as a result of chemical reaction involved. As expected, the intensity of the orange colouration decreased with increasing distance of muzzle-to-target. However, the orange specks appeared on the filter paper were not too 51 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 intense and crowded. It shows that the revolver pistol generated little amount of nitrite residues. Yet, it is believed that the nitrite residues could still be detected up to 15 inch because there was still nitrite residues observed on the filter paper at distance of 12 inch. (A) 3) Sodium Rhodizonate Test The subsequent chemical test treated was sodium rhodizonate test. The cotton cloth target bearing GSR expelled from revolver pistol was sprayed with sodium rhodizonate solution and buffer solution to observe the appearance of pink colour as a result of chemical reaction. The diameter of the pink colouration gradually decreased and the pink colouration became less intense with increasing distance. However, the pink pattern was difficult to visualize beyond 9 inch. Results of this study indicated that lead residues from vaporous lead smoke (primer) could only be detected up to 9 inch for the revolver pistol. But, at the bullet ring, the pink colouration could be observed by thoroughly examination. This showed that the bullet contained lead bearing material. Scanning Electron Microscopy (B) SEM micrograph is made by examination of GSR particle discharged from revolver pistol using ammunition of Winchester .38 Special (Fig. 4). (C) Fig. 4: SEM micrograph for GSR particles discharged from revolver pistol using Winchester 0.38 Special ammunition at 7000x magnification. (D) Fig. 3: Pattern of GSR on cotton cloth fired using revolver pistol at different firing distances (A) 3 inch, (B) 6 inch, (C) 9 inch and (D) 12 inch It found that the particles appeared as irregular cluster group grain of 3.3 µm in diameter. The difference in geometrical shape of GSR particle is possibly due to the different manufacturing process that produced the kind of ammunition. Another factor that could contribute to the different shape is the fact that different process was involved in formation of the particles for the semiautomatic and revolver pistols. The particles undergo different paths that gases and forming particulate take upon escape from the pistols. In revolver pistol, most of the gases from the primer burn escape in the area around the cylinder, whereas in the 52 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 semiautomatic pistol, the initial path is the opening provided by the ejection port [8]. Conclusion Information gained from this study can be used to estimate the muzzle-to-target distance for reconstruction of shooting test up to 12 inch. Chemical analyses involving modified Griess test and sodium rhodizonate were successfully employed. Results of modified Griess test corroborated the visual examination as orange specks revealing the presence of nitrite residues. Whereas results indicated that both pistol discharge contained lead from the positive colour change on the cloth target. SEM micrograph from this study revealed the geometrical shapes of the GSR particles generated from different pistol and ammunition. Acknowledgements Thanks are due to the Faculty of Science, Universiti Teknologi Malaysia for laboratory facilities, Royal Malaysian Police Forensic Laboratory for assistance in the shooting tests and Universiti Teknologi Mara Malaysia for financial aid to Mohamed Izzharif Abd Halim for his master’s study – Master of Science (Forensic Science). References 1. 2. 3. Romolo, F. S. and Margot, P. (2001). Identification of Gunshot Residue: A Critical Review. Forensic Science International. 119:195-211. Plattner, T. Kneubuehl, B. Thali, M. and Zollinger, U. (2003). Gunshot Residue Patterns on Skin Angled Contact and Near Contact Gunshot Wounds. Forensic Science International. 138:68-74. Brozek-Mucha, Z., Zadora, G. and Dane, F. (2003). A Comparative Study of Gunshot Residue Originating from 9 mm Luger Ammunition from Various Procedures. Science Justice Journal of the Forensic Science Society. 43: 229-235 4. Rosenberg, M. B. and Dockery, C. R. (2008). Determining the Lifetime of Detectable Amounts of Gunshot Residue on the Hands of a Shooter Using Laser-Induced Breakdown Spectroscopy. Applied Spectroscopy. 62:11 5. Bailey, J. A. Casanova, R. S. and Bufkin K. (2006). A Method for Enhancing Gunshot Residue Patterns on Dark and Multicoloured Fabrics Compared with the Modified Griess Test. Journal of Forensic Sciences. 51:4. 6. Haag, L. C. (2006). Shooting Incident Reconstruction. San Diego, California: Academic Press. 7. Muller, D. Levy, A. Vinokurov, A. Ravreby, M. Shelef, R. Wolf, E. Eldar, B. Pharm, M. and Glattstein, B. (2007). A Novel Method for the Analysis of Discharged Smokeless Powder Residues. Journal of Forensic Sciences. 52:1 8. Schwoeble, A. J. and Exline, D. L. (2000). Current Methods in Forensic Gunshot Residue Analysis. Boca Raton, Florida: CRC Press. 9. James, S. H. and Nordby, J. J. (2005). Forensic Science – An Introduction and Investigative Techniques. Boca Raton, Florida: CRC Press 10. National Institute of Justice. Firearm Examiner Training. The Research, Development, and Evaluation Agency of the U.S. Department of Justice. Retrieved from www.ojp.usdoj.gov/nij/training/firearmstraining/module_12 on 10 January 2008. 11. D’Uffizi, M., Falso, G., Ingo, G. M. and Padeletti, G. (2002). Microchemical and micromorphological features of gunshot residue observed by combined use of AFM, SA-XPS and SEM + EDS. Surface and Interface Analysis. Additional information and reprint requests: Mohamed Izzharif Bin Abdul Halim (Email: izzharif@salam.uitm.edu.my) Chemistry (Forensic Analysis) Program Faculty of Applied Sciences Universiti Teknologi MARA 40450 Shah Alam, Selangor, Malaysia 53 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 A Study on the Age Related Retention of Individual Characteristics in Hand Writings and Signatures for Application during Forensic Investigation Nataraja Moorthy Ta, Mohamad Mahathir Amir Sultanb, Kong-Yong Wongc a Forensic Science Programme, School of Health Sciences,Universiti Sains Malaysia, Kelantan, Malaysia b Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia c Department of Chemistry Malaysia, Petaling Jaya, Malaysia ABSTRACT: Handwriting is the means of communication and recording information in day-to-day life even with the introduction of new technologies. Languages are systems of symbols; writing is a system for symbolizing these symbols. Handwriting is quite distinctive [1]. Each individual’s writing style is personal and unique which is the result of unconscious, automatic actions and interaction between a person’s brain, eye and hand. Writing is also influenced by the person’s physical state [2], influence by drugs or alcohol [3], age [4], the force on the writing tool [5] and other environmental factors [6]. An individual’s writing styles change throughout the lifespan of a person and the degree of change may vary greatly. No two individuals, including twins can write alike [7-8]. Investigators and forensic document examiners have long been tasked to use inscriptions and markings as clues to identify their writers. This research aims to study the age related retention of individual characteristics in handwritings and signatures over a period of time ranging from two to ten years. Samples of seventy past handwritings and signatures were collected from individuals and compared with the present handwritings and signatures of those individuals. Individual characteristics that were found to be retained as well as those that were modified were identified and compared. The subjects were healthy and sound. In the first step magnifiers were used to examine the writings and signatures and then comparison microscope was used for detailed document examination. The analysis of writing style and signature characteristics indicated changes attributable to deviation. In spite of these changes occurring due to age, the characteristics that were retained are found to be useful in attributing authorship while examining documents. Keywords: Forensic science, handwritings, signatures, individual characteristics, retention Introduction A document can be defined as an item that contain writings, symbols, marks whether visible or invisible and conveys a meaning for someone. Document examination is defined as a discipline in which a document is examined and analyzed in order to obtain information that can be used to serve the justice system based on the scientific explanations [9]. Handwriting identification is a process in which handwriting is used as a mean of comparison and discrimination. In a more specific manner, handwriting identification can be based on evaluation of the significance of their similarities and dissimilarities. The amount of significant similarities and dissimilarities will be the cue in concluding whether the handwriting belonged to a particular person or not in cases like forgery and fraud. Population studies have been conducted to identify the class characteristics among the races [10-12]. Signatures and handwriting have long played a role in day-to-day activities like business transactions, casual writing of letters, and listing of required article in paper before going for shopping. In forensic science they are used to authenticate documents, as evidence to establish crime or innocence, etc. This research aims to study the age related retention of individual characteristics in handwritings and signatures over a period of time ranging from 2 to 10 years. Materials and methods (a) Sample collection Samples of seventy past handwritings and signatures from seventy volunteers were collected and these samples were written or signed 2 to 10 years prior to collection. Sample handwritings and signatures were correspondingly obtained from the same volunteers. The age of the subjects ranged from 20 to 35 years and they did not exhibit any health problem that would affect handwritings. The past samples designated as Q were serially numbered as Q1 to Q70 while the present samples designated as S were serially numbered as S1 to S70. Regarding past samples, whenever more than one signature or handwritings was collected from the same individual, such writings were designated 54 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 with roman alphabet following the sample number as chronological basis such as Q1a for the past sample in an earlier year and Q1b for the past sample in a later year both from the same individuals. The details of sample collections are as shown in Table 1. The handwritings and signatures included Bahasa Malaysia and English for both of which the script is same. Table 1: Details of sample collection Sample No Type of sample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 to 32 33 to 51,66 52 to 65 67 to 70 Handwriting Handwriting Signature Handwriting Handwriting Handwriting Handwriting Handwriting Handwriting Handwriting Handwriting Handwriting Handwriting Handwriting Handwriting Signature Handwriting Handwriting Year of past sample & designated as Q (presumed Questioned) 2000 (Q1a) , 2003 (Q1b) 2002 (Q2) 2002 2003 (Q4a) ,2005 (Q4b) 2003 2004 2004 2005 2005 2005 2005 2005 2004 2004 2006 2006 2006 2006 (b) Method of analysis Magnifiers were used to compare the words and signatures and then comparison microscope was used for detailed examination. The next step is to record the samples. This was done by mean of scaled photography using a digital camera. The writings were cropped using Adobe Photoshop, enlarged 4 times its original size and were printed using laser printer have been prepared for comparison purposes. The original samples of signatures and writings were examined very carefully using hand magnifiers and the characteristics were identified and recorded. The Year of recent sample & designated as S (presumed Specimen) 2009 (S1) 2008 (S2) 2008 2008 (S4) 2009 2008 2008 2009 2008 2008 2009 2008 2008 2008 2009 2009 2009 2009 characteristics were marked in enlarged prints of the writings obtained as stated before. Thus, the original samples were preserved as such to prevent damages and for future reference. In the initial stage of examinations, words that revealed multiple characteristics were chosen for analysis. The identified characteristics were marked and photographed both from past and recent samples that were examined along side. Some of the finding after analysis i.e. attribution of authorship is as shown in Table 2 and in Fig. 1 to Fig. 5. Table 2: Findings after comparing some of the handwritings and signatures Samp No. Fig No. Type of sample 2 1 Handwriting 3 2 Signature 4 3 Handwriting 6 4 Handwriting 66 5 Signature Type of retained individual characteristics Findings after analysis Design of letter, initiation, connection between letters, termination design, connection, stroke and manner of dots Letter design, connection between letters, termination Design of letters, initiation, connection between letters, termination Strokes, connection between letters, termination, idiosyncrasy (smiley) Both the handwriting belong to the same person Both the handwriting belong to the same person Both the handwriting belong to the same person Both the handwriting belong to the same person Both the signatures belong to the same person 55 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Past year sample 2002 (Q2) Recent year sample 2008 (S2) Fig. 1: Comparison of sample No.2 [Handwriting] Fig. 1 is a handwritten Bahasa Melayu sample. The writings have been made in different years with a span of six years i.e. 2002 (presumed questioned) 2008 (presumed specimen). The basic and overall design of both the questioned and specimen samples showed similarity and these observed retention characteristics are indicated by arrows. The letters “P”, “r”, “u” and “a” present in the past and present samples showed retained individual characteristics. Past year sample 2002 (Q3) Recent year sample 2008 (S3) Fig. 2: Comparison of sample No.3 [Signature] 56 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Past year sub-sample (Q4) 2003 (Q4a) 2005 (Q4b) Recent year sample (S4) Fig. 3: Comparison of sample No.4 [Handwriting] Past year sample 2004 (Q6) Recent year sample 2008 (S6) Fig. 4: Comparison of Sample No.6 [Handwriting] 57 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Past year sample 2006 (Q66) Recent year sample 2009 (S66) Fig. 5: Comparison of sample No.66 [Signature] Results All the present handwritings and signatures from S1 to S70 were found to retain sufficient number of individual characteristics, enabling comparison and attribution of authorship with the corresponding past handwritings and signatures. Some of the observed finding results were shown in the table 2. The table shows the sample number, the type of the sample (handwriting or signature), the retained individual characteristics which are identified (e.g. design, stroke and termination). Discussion The handwritings and signatures are valuable evidence in white collar offences during forensic document investigation. In the samples of signature, the retention of individual characteristics found to be more pronounced in the stroke, design, location of dots and connection. The characteristic retention in signature is an important factor because signature is one of the biometrics used for verification or identification. There is also a sample which show idiosyncrasy (sample 66) and it is retained which increased the probability of positive matching. The minimum number of retained characteristics in one word for past handwritings after a lapse of ten years was 4 and maximum for the same ten years period was 9. Similarly the minimum number of retained characteristics in one word from handwritings after a lapse of two years was 9 and maximum for the same two years was 14 depending on the size of the samples. In general it is found that the lesser the number of years for the past writings, the more the number of retained characteristics. However even after ten years, the minimum number of retained characteristics for a word and signature observed here were found to be sufficient for attributing authorship indicating that the individual characteristics are sufficiently retained as a person become older. In this research, it is found that all seventy samples of signatures and writings showed retained individual characteristics in the recent year samples. Conclusion This research was conducted on seventy samples of handwriting and signatures to study the age related retention of individual characteristics and its forensic significance. The analysis was done on the individual characteristics that were normally assessed in forensics’ handwriting analysis. From the study, it was found that even after ten years most of the individual characteristics are retained. Even though some changes were seen, still positive identification could be made using the retained individual characteristics. This research indicated that individual characteristics such as initiation, stroke, design of letters, location of dots, connection between letters and termination are more frequently retained even as time progresses. This study indicated individual characteristics are found to be retained in handwriting and signature examination in spite of aging process. Acknowledgements The author is thankful to the volunteers for providing the samples to conduct this research. Acknowledgement is due to Dr. P. T. Jayaprakash, Associate Professor, Forensic Science Programme, Universiti Sains Malaysia, Kubang Kerian for his support. 58 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 References 1. 2. 3. 4. 5. 6. 7. Srihari, S. N., Cha, S.-H., Arora, H., & Lee, S. (2002). Individuality of Handwriting. Journal of Forensic Sciences. 47: 1-17. J.H.Yan et. al. (2008). Alzheimer’s disease and mild congnitive impairment deterioate fine movement control. Journal of Psychiatric Research. 42: 1203-1212. A ıcıo lu, F., & Turan, N. (2003). Handwriting changes under the effect of alcohol. Forensic Science Internationa.l 132: 201-210. SM.Rueckriegel et. al. (2008). Influence of age and movement complexity on kinematric hand movement parameters in childhood and adolescence. International Journal of Developmental Neuroscience. 26: 655-663. M.A.Oliveira et. al. (2008). Age related changes in multi-finger interactions in adults during maximkum voluntary finger force production tasks. Human Movement Science. 27: 714-727. Horton, R. A. (1996). A study of the occurrence of certain handwriting characteristics in a random population. International Journal of Forensic Document Examiners. 2:95-102. Franck, F. E. (2000). Handwriting is Unique: Twin Studies. Presented at the American Society of Questioned Document Examiners, Ottawa, Canada. 8. Gamble, D. J. (1980). The handwriting of identical twins. Journal of the Canadian Society of Forensic Science. 13:11-30. 9. Morris, R. (2000). Forensic handwriting identification. USA: Academic press. 10. Torres, B. (1987). A Study of Vietnamese Class Characteristics. Presented at the American Academy of Forensic Sciences, San Diego, California. 11. Turner, I. J., Sidhu, R. K., & Love, J. M. (2008). A preliminary study investigating class characteristics in the Gurmukhi handwriting of 1st and 2nd generation Punjabis. Science and Justice. 48: 126-132. 12. Horton, R. A. (1996). A study of the occurrence of certain handwriting characteristics in a random population. International Journal of Forensic Document Examiners. 2:95-102. Additional information and reprint requests: Nataraja Moorthy T (Email: nataraja@kb.usm.my) Forensic Science Programme School of Health Science Universiti Sains Malaysia 16150 Kubang kerian, Kelantan, Malaysia 59 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Identifying Profile of Female Prisoners in Malaysian Prison Using Carlson Psychological Survey Nurul Hazrina Mazlana, Geshina Ayu Mat Saata, Affizal Ahmada a Forensic Science Programme, School of Health Sciences,Universiti Sains Malaysia, Kelantan, Malaysia ABSTRACT: In Malaysia, the number of female prisoners seems to be increasing annually. To date, there has been no empirical evidence regarding antisocial behavior, chemical abuse, or thought disturbance among female prisoners in this country. With a goal to build a profile on female offenders in a Malaysian prison, empirical knowledge on antisocial behavior, chemical abuse, thought disturbance, and self-deprecation are gathered in through the Carlson Psychological Survey (CPS). There are two groups of females in this study; the study group (n=134) consists of female prisoners from a female prison, and the control group (n=100) consists of females from the society. Semi-structured survey was used in this study. Profile types were given to each respondent and comparison was made between the study and control group. The findings concluded that female offenders have a higher risk (α <0.05) of chemical abuse, thought disturbance, antisocial tendency, and self-depreciation than females from the general population. Keywords: Carlson Psychological Survey, female prisoners, profile. Introduction Female prisoners have always been a minor subject in research and study. For a very long time, theory and research relating to crime had been focusing on male offenders [1, 2]. As a result, correctional program that has been used for female offenders is based on male criminality and often failed to provide the appropriate option for the needs of female offenders [1, 3]. The lack of information and knowledge about them has caused difficulties in designing an appropriate rehabilitation program for this population. Although there is an existing program for the rehabilitation of prisoners, a better program may be created based on a better understanding of the prisoners themselves. One way to gather the information regarding the factors for the appropriate rehabilitation is by creating a profile of prisoners. This profile should consist of empirical knowledge including antisocial behavior, chemical abuse, thought disturbance, as well as self-depreciation. This empirical knowledge can give us an idea of why a woman commits a crime. Furthermore, the existence and prevalence of antisocial behavior among the female offenders can be explored through the profile. Appropriate profiling may result in the suggestion of a better rehabilitation program for the female offenders. The purpose of rehabilitation is to restore people who offend to their previous or better condition. This rehabilitation program can be implemented in prison which is created to punish as well as to rehabilitate a person who has offended. How well this works depends on how effective the rehabilitation program is. In order to create an effective rehabilitation program, sufficient knowledge about the prisoners themselves is needed. It is impossible to reach the complete and effective rehabilitation for the prisoner without an initiative and concentrated effort towards appropriate diagnosis. The objectives of this study are: 1. To build a profile of female prisoners in a Malaysian prison. 2. To prepare empirical knowledge regarding antisocial behavior, chemical abuse, thought disturbance and self-depreciation. 3. To identify factors that may increase the possibility of a female to commit an offence. Method Participant This study involves two groups of respondent. The first group is the study group (divided into 2 subgroups; Malaysian and non-Malaysian) consisting of female prisoners from one prison (named as prison A). For the Malaysian subgroup, the numbers of respondents are 46 inmates, while for the non-Malaysian subgroup, 88 respondents participate in the study. The second group (n=100) is the control group, the free living females in Kubang Kerian and Kota Bharu, Kelantan. Measure Carlson Psychological Survey (CPS) designed by Carlson (1982) [4], was used in this study. CPS is a 60 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 psychometric instrument designed specifically for individuals who offend or are convicted of a crime. It enables information regarding antisocial behavior, chemical abuse and thought disturbance to be gathered in one survey at one time. It has four reliable scales which are chemical abuse (α=0.73), thought disturbance (α=0.80), antisocial tendencies (α=0.82) and self-depreciation (α=0.67). A validity scale was included for the purpose of validating the respondent test-taking attitude. This measurement contains 50 items with a level four literacy level which is easily understood by respondents. Each item in CPS has five responses. The respondent needs to choose one that is most related to her and complete the 50 items. From each response given, a raw score is calculated for each scale and from each score, a profile is chosen. These scores are transferred to a profile sheet to see the profile pattern. The profiles are named as Type 1 to Type 18. comparison between convictions in study group. For statistical analysis, multivariate analysis of variance (MANOVA) was used. For the profile analysis, the data from the SPSS were transferred to a scoring sheet. From the scoring sheet, the raw score for each scale (chemical abuse, antisocial tendencies, thought disturbance, self-depreciation and validity) was calculated. The raw score was then referred to a reference guide for classification and the profile type was obtained. From the raw score also, a profile sheet was filled and the pattern of score observed. The main objective in using MANOVA is to determine the affect of independent variables on the dependent variables. In this study, the independent variables were ethnicity, age, type of crime and length of incarceration for the study group. For the control group, the independent variables were ethnicity, age and working status. For dependent variables, scores of chemical abuse (CA), thought disturbance (TD), antisocial tendency (AT) and selfdepreciation (SD) were selected for both groups. Data collection The CPS was prepared according to the number of participants. The study group answered the survey in groups of ten in prison A. The instrument was in English version. Survey was semi-structured and the researcher had a chance of interacting with the respondents but not directly interviewing the respondents. In some cases where the respondents were unable to understand the language, Malay was considered. For the control group, participants who volunteered to participate were given the survey, and asked to return it as soon as they finished the survey. Analysis The analyses included a comparison between the study group and the control group, comparisons between subgroups within the study group, and Result and Discussion Demographic information According to Table 1, Indonesian had the highest percentage (68%) followed by Malay (19%). According to age, most of Malaysian (12%) was within the age range of 20 to 29 and the same was for the non-Malaysian subgroup (28%). For the length of incarceration, most were sentenced within six months to 12 months length (47%). As shown in Table 2, most of respondents within the control group were Malays (76%). For range of age, most of the respondents were within 20 to 29 years old (64%). For working status, most of the respondents were students (48%) followed closely by working in various occupations (45%). Table 1: Summary of demographic information for the study group which includes ethnicity, age and length of incarceration Ethnicity Age Length of incarceration Demographic Information Malay Chinese Indian Indonesian 20 to 29 Malaysian subgroup Non Malaysian subgroup 30 to 39 Malaysian Non Malaysian 40 to 49 Malaysian Non Malaysian 50 and above Malaysian Non Malaysian Less than 6 months 6 months to 12 months More than 12 months Frequency 27 10 8 97 17 40 11 35 15 19 3 2 45 65 32 Percentage 19.00 7.00 5.60 68.30 11.97 28.17 7.75 24.65 10.56 13.38 2.11 1.41 31.00 46.50 22.50 Total 142 57 46 34 5 142 61 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Table 2: Summary of demographic information for the control group which includes ethnicity, age and working status Demographic Information Malay Ethnicity Chinese Indian 20 to 29 30 to 39 Age 40 to 49 50 and above Working Working status Non Working Student Profile Type According to Table 3, 13 profile types were categorized in this study. Some of the results were unidentified as there were no suitable profile types for the raw score as per the CPS manual. The suitable profile for these scores has not been produced. Comparison was made between means of the usable scores from this study to the means given by the CPS manual. Profile type 5 was the most frequent profile type for the Malaysian incarcerated subgroup (17%). This means, these individuals have high antisocial tendency and poor social skills. Attention should be given to these individuals since suicidal thoughts are possible amongst them. Profile type 6 and 7 were the second most frequent (15 %) amongst the study subgroup. Profile type 6 is indicated by a passive-aggressive personality. People with this profile type show no remorse for their offences and often denying responsibility. Profile type 7 demonstrates a disturbed personality and psychiatric treatment is recommended for this group. The other profile types are less frequent as compared to these three profile types. Among the non-Malaysian subgroup, most of them (62.5 %) have unidentified profile type. As mentioned earlier, unidentified means that the profile types suitable for the scores of individuals in this group has not been produced. This is likely as these individuals did not have any drug or antisocial related offences. Profile type 7 and 11 were the second highest profile types (16%). Profile type 11 is generally emotionally passive and is likely to be influenced by others. People of this profile may engage in depression since they demonstrate restlessness and strange behaviors. A high score in antisocial tendency shows that this group is at risk of having antisocial behavior. This Frequency 76 11 13 64 16 16 4 45 7 48 Percentage 76 11 13 64 16 16 4 45 7 48 Total 100 100 100 profile type was the second highest for the control group as well (35%). Most of the respondents (44%) in the control group have unidentified profile type. This was expected as the control group represented the normal population. It was assumed that people from the normal population are generally less likely to have antisocial behavior or indulge in activities related to chemical abuse. An overview on the result of profile type showed that there are differences among groups. The Malaysian subgroup has a set of profile type which is different from the non-Malaysian subgroup and the control group. This indicates that female offenders in the Malaysia subgroup have different characteristics and this can be explained through their profile types. This also may be useful to show differences between the offender population and the non-offending population. Statistical analysis According to Table 4, it showed that chemical abuse and antisocial tendency are very common among the offenders population. Both factors occurred across the ethnicity, the types of crimes and the length of incarceration. Chemical abuse occurred across the age range as well. This proved that chemical abuse and antisocial behavior are high among offenders [6, 7, 8]. The occurrence of chemical abuse and antisocial among this population also showed that there is a positive association between these two factors [9, 10, 11]. Through this study, thought disturbance and selfdepreciation did not show a strong occurrence amongst the offender population. However, this does not indicate that there is no thought disturbance and self-depreciation in the entire population. 62 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Table 3: Summary of the profile type for both groups Groups Study group Malaysian subgroup Non Malaysian Subgroup Control group Profile Type 1 2 3 5 6 7 8 9 10 17 18 Unidentified 6 7 10 11 13 Unidentified 6 7 11 13 Unidentified The control group did not show any strong prevalence of all these factors except across the ethnicity. Between ethnicities, there are occurrence of chemical abuse and self-depreciation. However, comparison of means for chemical abuse between the study group and the control group showed that the control group has much lower mean than the study group. This indicates that there are occurrences of chemical abuse in the control group. However, incidences might be low and not significant for this study. Comparison between groups, including the subgroups showed a positive result. As expected for the outcome, there is a prevalence of all the dependent variables amongst the study group. The Malaysian subgroup showed a high prevalence of chemical abuse and antisocial tendency. On the other hand, non-Malaysian subgroup showed a high prevalence of thought disturbance and selfdepreciation. This showed that the offender population has higher a risk of chemical abuse, antisocial tendency, thought disturbance and selfdepreciation compared to the general population [6, 7, 8]. Abuse of drug is significantly related to crime against property and the involvement in criminal activities is likely to support their drugs dependency. Criminal behavior among drug abuser Frequency 2 2 2 8 7 7 1 1 5 3 3 5 2 15 2 15 2 60 7 3 35 11 44 Percentage 4.35 4.35 4.35 17.40 15.22 15.22 2.17 2.17 10.87 6.50 6.50 10.87 2.08 15.63 2.08 15.63 2.08 62.50 7.00 3.00 35.00 11.00 44.00 Total 46 96 100 is most likely as a result of influence by friends as well as poverty [12]. Therefore, aside from illegal use of drug, they might have been involved in property crime as well. As mentioned earlier, there are positive association of chemical abuse and antisocial tendency amongst the Malaysian subgroup. Antisocial behavior had been defined as related to substance dependence and legal problems [13]. The result of this study showed that there is a relationship between antisocial behavior and chemical abuse. The high prevalence amongst offenders showed that antisocial behavior is likely to be related to unlawful behavior as well. Antisocial behavior had been described to include violations of rules and social norms, various forms of aggression, serious patterns of disruptive and aggressive behavior and lack of guilt [14, 15]. People with antisocial behavior are more likely to be involved in a more serious and violent crime due to the aggressive nature and the lack of guilt. To illustrate, drug abuser is more likely to involve in property crime. There is possibility for more violent crime to happen during the commission of said crime if the drug abuser also has antisocial attitude. When there is obstruction during robbery, another crime may occur such as murder. 63 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Table 4: Summary of the MANOVA tests on all independent and dependent variables in this study for both groups Independent and dependent variables interaction Ethnicity – all the dependent variables MANOVA Tests 1. Multivariate tests α = .000, significance differences in the dependent variables across ethnicity 2. Tests of BetweenSubjects Effects α for CA and AT < .05, CA and AT differ significantly across ethnicity. Due to insufficient numbers of sample for each ethnic, comparison among ethnics cannot be done. 3. Estimated Marginal Means 1. Multivariate tests CA and AT are likely to occur among ethnic in this group. 2. Tests of BetweenSubjects Effects α for CA < .05, CA differs significantly across age range. Due to insufficient numbers of sample, comparison among age range cannot be done. 3. Estimated Marginal Means 1. Multivariate tests CA is likely to occur among age range. 2. Tests of BetweenSubjects Effects α for CA and AT < .05, CA and AT differ significantly across the types of crime. Due to insufficient numbers of sample for each types of crime, comparison among them cannot be done. 3. Estimated Marginal Means 1. Multivariate tests CA and AT are likely to occur among types of crime. 2. Tests of BetweenSubjects Effects α for CA and AT < .05, CA and AT differ significantly across the length of incarceration. Due to insufficient numbers of sample, comparison among length of incarceration cannot be done. 3. Estimated Marginal Means 1. Multivariate tests CA and AT are likely to occur among different length of incarceration in this group. α = .00, significance differences in the dependent variables across the ethnicity 2. Tests of BetweenSubjects Effects α for CA and SD < .05, CA and SD differ significantly across ethnicity. Due to insufficient numbers of sample for each ethnic, comparison among ethnics cannot be done. 3. Estimated Marginal Means 1. Multivariate tests CA and SD are likely to occur among ethnic in this group. 2. Tests of BetweenSubjects Effects all the α values are more than .05, no dependant variables contribute to the significant multivariate effects. Dependent variables are not affected by the age range. all α values are more than .05, no significant multivariate effects in working status. Study group Age range – all the dependent variables Types of crime – all the dependent variables Length of incarceration – all the dependent variables Control group Ethnicity – all the dependent variables Age range – all the dependent variables 1. Multivariate tests Between groups Working status – all the dependent variables Groups – all the dependent variables Results α >.05, no significance differences in the dependent variables across age range α = .000, significance differences in the dependent variables across the types of crime α = .000, significance differences in the dependent variables across the length of incarceration. all α values are more than .05, no significant multivariate effects in age range. 1. Multivariate tests all the α values are more than .05, no dependant variables contribute to the significant multivariate effects. Dependent variables are not affected by the working status. α = .000, significance differences in the dependent variables across groups. 2. Tests of BetweenSubjects Effects α for all dependent variables < .05, all dependent variables differ significantly across groups. 3. Estimated Marginal Means Malaysian subgroup has the highest means for CA and AT (means= 23.96, 32.98). Malaysian subgroup has higher score in CA and AT than the others. Non-Malaysian subgroup has highest means for TD and SD. The nonMalaysian subgroup score higher in both compare to the others. 2. Tests of BetweenSubjects Effects 64 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 The non-Malaysian subgroup showed a high occurrence of thought disturbance and selfdepreciation compared to the Malaysian subgroup. This may indicate that as a group non-Malaysian incarcerated offender have some forms of mental problems. Thought disturbance has been defined as disturbance in the form of thought and may involve confusion, hallucination, and delusion [16]. The type of crime that might be committed by people with thought disturbance is less likely to be a violent crime or property crime. The high prevalence amongst the non-Malaysian subgroup may refer more to disturbance in thought due to pressure being away from home, which is Indonesia. Self-depreciation by its nature does not seem to predispose an individual to antisocial related crimes. Self-depreciation is defined as undervalue of oneself and it is more likely due to the feeling of inferiority and weakness. People with high self-depreciation are more likely to be a victim rather than a criminal. High prevalence of thought disturbance and selfdepreciation amongst the non-Malaysian subgroup does not mean the Malaysian subgroup does not suffer from these two factors. In fact, the means of both variables for the Malaysian subgroup are very close to the non-Malaysian. They are also very high compared to the control group. This showed that there are likelihoods that the Malaysian subgroup may have thought disturbance and self-depreciation as well. Conclusion The profiles of female offenders have been successfully generated at the end of this study. It shows a set of profiles which differs from the control group. This profile types are unique to each offender and this proves that every offender has different needs for rehabilitation, as mentioned in the introduction. Each profile type contains all the empirical knowledge needed and explains what is necessary for a better rehabilitation. The analysis carried out evidenced the remaining objectives in this study. Chemical abuse and antisocial tendency have been proved to be high amongst the female offenders. These showed that both variables are very likely to become the factors for a female to commit a crime. Both factors also showed a high probability to be associated with each other. A comparative analysis proved that chemical abuse and antisocial tendency are more likely to occur in the offender population compared to the general population. subgroup. However, this does not mean that both do not occur amongst the Malaysian subgroup. The result of the analysis showed that the Malaysian subgroup has a high probability to suffer thought disturbance and self-depreciation as compared to the control group. Therefore, the offender population is more likely to have thought disturbance and self-depreciation. Both are also likely to become the factors for a female to offend. Limitations of the Study The first limitation is the CPS. The CPS is prepared based on studies done in America. The baseline means and standard deviation are based on such studies. As far as this study is concerned, this survey is not fully applicable to the Malaysian population. While it may produce some good results, however not all the results were obtained as anticipated. An example is, the profile type which cannot be identified. This may be due to the limitation in the scale created by Carlson which is not fully suitable in Malaysia. Furthermore, items in CPS may not be as relevant to the Malaysian environment. There is a possibility that some behavior unique to the Malaysian offending population were excluded. The second limitation is the interaction with the respondents. This study was done based on a semistructure study. It involved limited interaction between the researcher and the respondents. Due to this, there is a probability that the respondents could not answer the CPS to their best ability. The third limitation is language, mainly for the nonMalaysian subgroup. Differences in some vocabulary and use of words limit the proper interaction between the researcher and the respondents. There is possibility that the respondents in this group were unable to fully understand the questions given. Acknowledgements The authors thank Jabatan Penjara Malaysia for giving the chance to conduct this study. References 1. 2. Thought disturbance and self-depreciation showed a high occurrence amongst the non-Malaysian Covington, S. (2002). A Woman’s Journey Home: Challenges for Female Offenders and Their Children. Institute for Relational Development, US Department of Health & Human Services: Washington, DC. pp 127-148. Gunter, T.D. (2004). Incarcerated Women and Depression: A Primer for the Primary Care 65 Malaysian Journal of Forensic Sciences, 2010, Vol. 1, No. 1 Provider. Journal of the American Medical Women’s Association. 59(2): 107-112. 3. Langan, N.P. & Pelissier, B.M.M. (2001). Gender Differences among Prisoners in Drug Treatment. Journal of Substance Abuse. 13: 291-301. 4. Carlson, K.A, (1986). Carlson Psychological Survey Manual. SIGMA Assessment Systems, Inc.: London. 5. Coakes, S.J. & Steed, L.G. (1999). Multivariate Analysis of Variance (MANOVA). In: SPSS Analysis Without Anguish, Version 7.0, 7.5, 8.0 for Windows. Australia: John Wiley & Sons, Ltd, New South Wales. pp 181 – 196. 6. Raistrick, D., Hodgson, R., & Ritson, B. (eds) (1999). Tackling Alcohol Together: The Evidence Base for a UK Alcohol Policy, London: Free Association Books. 7. Fazel, S. & Danesh, J. (2002). Serious mental disorder in 23 000 prisoners: a systematic review of 62 surveys. The Lancet. 359: 545-50. 8. South, N. (2007). Drugs, Alcohol and Crime. In: M. Maguire, R. Morgan, and R. Reiner, (eds), The Oxford Handbook of Criminology. Oxford: Oxford University Press. pp 810 – 833. 9. Ferguson, D.M, Horwood, L.J. & Lynskey, M. (1994). The Childhoods of Multiple Problem Adolescents: a 15-year Longitudinal Study. Journal Child Psychology Psychiatry. 35: 1123-1140. 10. Loeber, R. & Keenan, K. (1994). Interaction between Conduct Disorder and its Comorbid Conditions: Effects of Age and Gender. Clinical Psychology Review. 14: 497-523. 11. Robins, L.N. (1998). The Intimate Connection between Antisocial Personality and Substance Use. Social Psychiatry and Psychiatric Epidemiology. 33: 393-399. 12. Usman Ahmad K. (2005). Drug Abuse and Criminal Behavior in Penang, Malaysia: A Multivariate Analysis. Bangladesh e-Journal of Sociology. 2 (2): 1-26. 13. Moffit, T.E. (2003). Life-course Persistent and Adolescence-limited Antisocial Behavior: a 10-year research review and a research agenda. In: Lahey, B., Moffit, T.E. & Caspi, A. (eds). The Cause of Conduct Disorder and Serious Juvenile Delinquency, Guilford Press; New York. pp 49-75. 14. Baker, L.A., Jacobson, K.C., Raine, A., Lozano, D.I. & Bezdjian, S. (2007). Genetic and Environmental Bases of Childhood Antisocial Behavior: A Multi-Informant Twin Study. Journal of Abnormal Psychology. 116(2): 219-235. 15. Lahey, B.B. (2007). Psychology: An Introduction (Ninth Editions). The McGrawHill Companies. NY. 16. McGrath, J. (1991). Ordering Thoughts on Thought Disorder. 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