SUPPLEMENTARY INFORMATION Seed Oils from Non-conventional Sources in North-east India: Potential Feedstock for Production of Biodiesel Priyanka Baruaa, Kajal Duttaa, Sanjay Basumatarya, Dinesh C. Dekab and Dibakar C. Dekaa* a Department of Chemistry, Gauhati University, Guwahati 781014, Assam, India. b Department of Botany, Birjhora Mahavidyalaya, Bongaigaon 783380, Assam, India. Abstract A total of 9 oilseeds with more than 15 wt% oil have been investigated for evaluating them as feedstock for biodiesel industries. Fatty acid profiles of all the 9 oil samples have been determined by GC-MS analysis. The saponification numbers, gross heats of combustion of the oils and those of corresponding fatty acid methyl esters (FAMEs) as well as cetane indices of the FAMEs have been calculated empirically. Iodine values have been determined experimentally. These values have been used for predicting the quality of the corresponding biodiesels. If prepared from these oils biodiesels are likely to meet the major specification of biodiesel standards of USA, Germany and European Standard Organization. Seed oil, from Cucumis sativus is found rich in linoleic acid, which is considered an essential fatty acid of biological significance. Keywords: Oilseeds, biodiesel, saponification number, iodine value, cetane index, north-east India Experimental Materials The plant seeds were collected from the states of Assam and Manipur in the north-eastern part of India at different time of the year depending on the flowering season of the species. Seeds containing a hard shell were manually hulled to get the kernels which were sun-dried before being crushed for solvent extraction. Solvents and chemicals used were of analytical grade and used without further purification. Oil extraction Seed oils were extracted from the crushed kernels by stirring magnetically a mixture of the kernel with light petrol (40-60 °C, 10 mL/g) at room temperature (30-32 °C). The solid residue was removed by filtration and the solvent from the filtrate was evaporated under vacuum in a rotavapor to yield the crude oil which was purified by column chromatography over silica gel (60-120 mesh) using a mixture of light petrol (40-60 °C) and ethyl acetate (20:1) as the eluent. Statistical averages of yields with deviation from triplicate experiments are shown in Table S1. Transesterification of the purified oils Transesterification of the seed oils was carried out at room temperature with methanol (MeOH). The catalyst used for transesterification was prepared in the laboratory from the trunk of Musa balbisiana plant (Deka & Talukdar, 2007; Deka & Basumatary, 2011). A mixture of oil, MeOH (10 mL/g of purified oil) and catalyst (20 wt% of oil) was stirred magnetically in a round bottom flask at room temperature (30-32 oC). Reaction was monitored by Thin Layer Chromatography (TLC). After completion of the reaction, the product mixture was partitioned between water and petroleum ether (at least twice) and the combined organic phase was washed with brine, dried over anhydrous Na2SO4 and the solvent removed under vacuum to yield the crude Fatty Acid Methyl Ester (FAME) mixture. The product was purified by column chromatography over silica gel (60-120 mesh) using a mixture of light petrol and ethyl acetate (25:1) as the eluent. Yields shown in Table S2 are arithmetic averages of duplicate experiments. Deviation is less than one in all the cases, and not shown in the table. GC-MS analysis The fatty acid methyl esters were identified using Perkin-Elmer Clarus 600 GC-MS analyzer. The column used was Elite 5 MS with dimension 30.0 m x 250 μm. The oven temperature was initially held at 140 °C for 5 minutes, increased to 240 °C at 4 °C/min and finally held for 5 min at 240 °C. The injector, transfer and source temperatures were 250 °C, 200 °C and 150 °C respectively. Helium was used as the carrier gas. The mass spectrum was scanned from 20 to 400 Da. The FAMEs were identified by comparison with NIST library mass spectrum database. Random check on data shown in Table S3 was carried out by repeating GC-MS analysis. Results are reproducible. The percentage composition of the FAMEs was determined based on the peak area of the individual component relative to the total peak area of all the components present in the sample (Abdulkadir & Tsuchiya, 2008). Determination of Iodine Value (IV) Procedure for determination of iodine value of oils (Wijs method; AOAC Official Method 993.20) The required amount of test sample was weighed into dry 500 mL iodine flask. 15 mL acetic acidcyclohexane solvent (1:1 v/v) was added to each test sample and swirled to ensure complete dissolution. 25 mL of Wijs solution (8.25 g ICl dissolved in 500 mL acetic acid) was added to the flask containing test sample and swirled to mix. The flask was stoppered and kept in a dark place for 1h after which it was removed from the dark, 20 mL of 15% KI solution was added and mixed. 150 mL water was added and the mixture was gradually titrated with 0.1 M standard Na2S2O3 solution with constant and vigorous stirring until yellow color almost disappears. 1 to 2 mL starch solution was added to the flask and titration is continued until blue colour just disappears (S ml of thiosulfate solution). Blank titration was also done with the test sample (B mL of thiosulfate solution). The iodine value was calculated as given in equation (1) below: πΌπ (g I2/100g oil) = (B-S)×M×12.69 wt. of oil or fat (1) where, M is the molarity of Na2S2O3 solution determined by standardizing sodium thiosulfate solution with K2Cr2O7. Calculation of Saponification Number (SN), Cetane Index (CI) and Gross Heat of Combustion (HG) Saponification number (SN) of the FAME mixture was calculated from Eq. (2) given by Kalayasiri et al (1996): ππ = ∑ (560×Ai)/MWi (2) where, Ai= percentage of the ith component in the mixture, MWi= molecular weight of the ith component. For calculating cetane indices (CI) of the FAMEs, the Eq.(3) given by Krisnangkura (1986) was used: πΆπΌ = 46.3 + 5458 − 0.225IV SN (3) Lastly, the gross heats of combustion of both the triglycerides as well as FAMEs have been calculated using the Eqs. (4) and (5) respectively (Krishnangkura, 1991). π»πΊ ππ π‘πππππ¦ππππππ = 1,896,000 − 0.61IV − 1600 SN where, IV and SN are as calculated from equations (1) and (2) respectively. (4) π»πΊ ππ πππππ£πππ’ππ πΉπ΄ππΈ, π»πΊi = where, SNi = (560/MWi)100, 618,000 − 0.081IVi − 430 SNi (5) IVi = (254 x Di/MWi)100, Di = number of double bonds in the ith component and MWi = molecular weight of the ith component π»πΊ ππ π‘βπ πΉπ΄ππΈ πππ₯π‘π’ππ = ∑ (HGi×Ai)/100 where Ai is the percentage of the ith component in the mixture. Table S1. Oil contents of plant seeds. Entry 1 Scientific name of the plant Citrus maxima Oil content (wt%, before column) 50.50 ± 1.34 Oil content (wt%, after column) 47.5 Loss after column (wt%) 3.0 2 Jatropha curcas 45.80 ± 1.03 39.9 5.9 3 Cucurbita 44.90 ± 0.47 42.8 2.1 moschata 4 Anisomeles indica 45.27 ± 1.25 41.8 3.5 5 Luffa acutangula 34.5 0± 0.53 32.4 2.1 6 Cucumis sativus 30.20 ± 1.48 28.1 2.1 7 Parkia timoriana 22.52 ± 0.74 21.6 0.9 8 Meyna spinosa 22.30 ± 1.44 19.8 2.5 9 Abelmoschus moschatus 17.90 ± 1.04 17.4 0.5 Table S2. Transesterification of seed oils with methanol. Entry a Reactions b 1 Scientific name of the plant Citrus maxima 2 Reaction time (h)a 3.5 Yield of FAMEs (wt%)b 96 Jatropha curcas 3 90 3 Cucurbita moschata 4 91 4 Anisomeles indica 2.5 94 5 Luffa acutangula 4 92 6 Cucumis sativus 4 90 7 Parkia timoriana 4.5 93 8 Meyna spinosa 3.5 95 9 Abelmoschus moschatus 3.5 94 were carried out at ambient temperature of 30 to 35 oC. Yield based on purified seed oil. Table S3. Fatty acid composition of the FAME mixtures derived from the seed oils. Entry 1 2 3 4 5 6 7 8 9 @ 16:1 16:0 Composition of FAME (wt%)@ 18:2 18:1 18:0 20:2 20:1 0.8 - 29.7 16.5 59.2 9.6 61.6 19.2 23.4 46.2 27.8 25.7 33.2 16.1 65.5 30.4 28.9 Seed oil Citrus maxima Jatropha curcas Cucurbita moschata Anisomeles indica Luffa acutangula Cucumis sativus Parkia timoriana Meyna spinosa Abelmoschus moschatus 39.6 43.8 15.6 70.5 14.2 15.2 24.7 35.5 37.4 4.9 5.6 25.2 3.7 24.1 13.6 16.3 4.1 - - 20:0 22:0 3.0 1.9 - 4.8 - Individual FAME is indicated by the ratio of the number of carbon atoms in the acid component to the number of double bonds in the fatty acid chain. Table S4. Calculated SN, CI, HG and observed IV values of the oils and FAME mixtures. Entry Seedoil SN (mg KOH/g oil) 194.8 IV (g I2 /100g oil 91.8 HG (MJ/kg) of Oil Biodiesel 38.0 38.4 CI (biodiesel) 56.7 1 Citrus maxima 2 Jatropha curcus 192.8 104.6 38.4 38.8 53.0 3 198.7 37.1 37.2 37.3 67.0 190.6 115.2 39.0 39.2 58.2 5 6 Cucurbita moschata Anisomeles indica Luffa acutangula Cucumis sativus 199.7 193.4 35.6 108.7 37.1 38.2 37.6 38.6 70.6 46.1 7 8 Parkia timoriana Meyna spinosa 191.6 197.0 80.56 59.0 38.8 37.6 39.2 37.9 58.2 67.2 9 Abelmoschus moschatus 191.0 92.9 38.9 37.7 56.4 4 References: Abdulkadir, S., & Tsuchiya, M. (2008). One-step method for quantitative and qualitative analysis of fatty acids in marine animal samples. Journal of Experimental Marine Biology and Ecology, 354, 1-8. Deka, D.C., & Basumatary, S. (2011). High quality biodiesel from yellow oleander (Thevetia peruviana) seed oil. Biomass and Bioenergy, 35, 1797-1803. Deka, D.C., & Talukdar, N.N. (2007). Chemical and spectroscopic investigation of kolakhar and its commercial importance. Indian Journal Traditional Knowledge, 6, 72-78. Kalayasiri, P., Narumon, J., & Krisnangkura, K. (1996). Survey of seed oils for use as diesel fuels. Journal of American Oil Chemists Society, 73, 471-474. Krisnangkura, K. (1986). A simple method for estimation of cetane index of vegetable oil methyl esters. Journal of American Oil Chemists Society, 63, 552-553. Krisnangkura, K. (1991). Estimation of heat of combustion of triglycerides and fatty acid methyl esters. Journal of American Oil Chemists Society, 68, 56-58.