Environment International 123 (2019) 476–485 Contents lists available at ScienceDirect Environment International journal homepage: www.elsevier.com/locate/envint Characterization of particulate and gaseous pollutants emitted during operation of a desktop 3D printer T ⁎ Jianwei Gu , Michael Wensing, Erik Uhde, Tunga Salthammer Fraunhofer WKI, Department of Material Analysis and Indoor Chemistry, Bienroder Weg 54E, 38108 Braunschweig, Germany A R T I C LE I N FO A B S T R A C T Handling Editor: Xavier Querol The emission of ultrafine particles (UFP) and gaseous pollutants from 3D printing has been increasingly gaining attention in recent years due to potential health risks. The physical and chemical properties of the emitted particulate matter, however, remain unclear. In this study, we characterized these particles with a focus on their chemical composition and volatility, and measured the gaseous pollutants from desktop 3D printing in a standardized environmental test chamber. Eight types of filaments were tested, including ABS (acrylonitrile butadiene styrene), ASA (acrylonitrile styrene acrylate), HIPS (high impact polystyrene), PETG (polyethylene terephthalate glycol), and PCABS (polycarbonate & ABS). Particle size distribution (PSD), particle number concentration (PNC), particle chemical composition and particle volatility were measured. In addition, volatile and very volatile organic compounds (VOCs and VVOCs) emitted during 3D printing were analyzed. The specific emission rates (SERs) for particles in the size range of 5.6 to 560 nm ranged from 2.0 × 109 (GLASS, a PETGbased filament) to 1.7 × 1011 (ASA) #/min. The particle SERs for ABS were (4.7 ± 1.1) × 1010 #/min. The SERs for total volatile organic compounds (TVOC) varied from 0.2 μg/min (GLASS) to 40.5 μg/min (ULTRAT, an ABS-based filament). Particles started to evaporate extensively from 150 °C. At 300 °C, only 25% of the particle number remained with the size distribution mode peaked at 11 nm. The particles collected on the quartz filter were mainly composed of semi-volatile organic compounds (SVOCs) associated with the plasticizers, flameretardants, antioxidants of the thermoplastics, and cyclosiloxanes which may be used as lubricants in the 3D printer. Keywords: 3D printing Emission Ultrafine particles VOCs SVOCs Environmental test chamber 1. Introduction Three-dimensional (3D) printing is gaining more and more popularity. A large number of 3D printers are available on the market and, depending on the individual printer characteristics, widely used in private homes, office environments and laboratories. Most of the desktop 3D printers use the fused filament fabrication (FFF) technique. Basically, thermoplastic filaments such as polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS) are fed to the extruder and melted when passing the extruder nozzle under a variety of temperatures (mostly in the range of 180–270 °C). The extruder applies the melted filament on the object, building the object layer by layer. The filaments harden after deposition on the object. It has been demonstrated that industrial processing of thermoplastics (180–280 °C) leads to emissions of both gases and particles (Unwin et al., 2013). Thermal treatment of common filaments such as PLA, ABS, polyethylene terephthalate (PET) and polyamide (PA) may cause unwanted emissions of volatile and semi-volatile organic compounds (VOCs and SVOCs) (Wojtyła et al., ⁎ 2017). The growing use of 3D printers in private and occupational spaces raises the question as to whether human exposure to emitted substances may cause adverse health effects. In a recent study, Gümperlein et al. (2018) exposed 26 healthy adults to particles and VOCs from 3D printing (PLA and ABS). Acute effects on inflammatory markers after short-term (1 h) exposure were not found, but slightly increased exhaled nitric oxide, indisposition and odor nuisance could be observed during ABS printing. Since the first publication on desktop 3D printing emission by Stephens et al. (2013), there have been several studies published on the 3D printing-related emissions of particles and/or gases. With regard to particles, most of the studies focused on particle number concentrations (PNC) or particle size distributions (PSD) (Azimi et al., 2016; Deng et al., 2016; Floyd et al., 2017; Kim et al., 2015; Kwon et al., 2017; Seeger et al., 2018; Stabile et al., 2017; Stefaniak et al., 2018; Stefaniak et al., 2017; Steinle, 2016; Yi et al., 2016; Zhang et al., 2017; Zhou et al., 2015). In several investigations, total volatile organic compounds (TVOC) were addressed (Azimi et al., 2016; Floyd et al., 2017; Kim Corresponding author. E-mail address: jianwei.gu@wki.fraunhofer.de (J. Gu). https://doi.org/10.1016/j.envint.2018.12.014 Received 15 October 2018; Received in revised form 30 November 2018; Accepted 5 December 2018 Available online 05 January 2019 0160-4120/ © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/). Environment International 123 (2019) 476–485 J. Gu et al. et al., 2015; Mendes et al., 2017; Stefaniak et al., 2017; Steinle, 2016). So far, studies assessing the individual VOCs have been published by Azimi et al. (2016), Floyd et al. (2017) and Stefaniak et al. (2017), in which they determined that the type of emitted VOCs was driven by the filament types. The previous studies focused mostly on the widely used filaments PLA and ABS. As far as other thermoplastic materials are concerned, the information is limited. Polyamide (Nylon) was studied by Zhang et al. (2017); multiple-filament types, including newly developed materials, were tested in studies by Azimi et al. (2016), Stabile et al. (2017) and Seeger et al. (2018). Few studies tackled the physical and chemical properties of 3D printing-emitted particles. The question of whether the particles are solid or liquid is important with respect to health-related issues when deposited in the human lung. Zhang et al. (2017) suggested that the particles may be formed from the condensation of SVOCs. Vance et al. (2017) hypothesized that particles are formed through degradation of ABS polymer, probably involving semi-volatile compounds. From measurements in test chambers and real rooms, Mendes et al. (2017) concluded that the particles consist of high and low-volatility compounds; however, only PLA and ABS were considered in this study. The chemical composition of particles is of vital importance for a better understanding of the potential health impacts. It also helps to determine the nature of particle sources and particle-generating processes. In the study by Vance et al. (2017), the Raman peaks of particles during 3D printing with ABS corresponded to the benzene ring and the carbon-nitrogen triple bond. Zontek et al. (2017) applied Fouriertransform infrared spectroscopy and found that isocyanic acid and ndecane are possible chemical components of condensed aerosols from ABS 3D printing. Stefaniak et al. (2017) found chromium (Cr) and iron (Fe) in 3D printing-emitted particles. Despite the above-mentioned qualitative analyses, many details about the composition of 3D printing-emitted particles still remain unknown. Previous studies on 3D printer emission were usually carried out under varying test conditions, in either room environments or chambers of different setups. Furthermore, the calculation methods of emission rates also differed. Consequently, the obtained emission rates from these studies cannot be directly compared. From studies on laser printer emissions (Schripp et al., 2009; Schripp et al., 2008), we understand that it is important to use a standard test protocol (ISO/ICE 28360, 2015). Realizing the gap in the knowledge of 3D printer emission behavior, we designed a standardized experimental test chamber setup, aiming at the determination of the physical and chemical properties of 3D printing-emitted particles and the quantification of particle and VOC emission rates using multiple types of filaments. Our results add another piece to the difficult puzzle of 3D printer emission characteristics. Table 1 Tested filaments and the main chemical composition. Filament trade name Main composition ABS ULTRAT ASA HIPS PETG GLASS PCABS ESDa Acrylonitrile butadiene styrene Acrylonitrile butadiene styrene + 0–3% polycarbonate Acrylonitrile styrene acrylate High impact polystyrene Polyethylene terephthalate glycol 80% PETG + 8–12% fiber glass filings 30–35% polycarbonate + 55–65% ABS PETG + carbon-based conductive additives a A filament with electrostatic discharge (ESD) protection. Fig. 1. Photos of the printed object (see also Moylan et al. (2012)). with electrostatic protection. In addition to the main polymers, filaments usually contain additives such as stabilizers, lubricants, mineral oils, antioxidants, and colorants. However, no information on the specific substances and mass fraction of these additives is provided by the manufacturer. The object to be printed (shown in Fig. 1) in the study is a model proposed by the National Institute for Standards and Technology (NIST) for additive manufacturing (Moylan et al., 2012). This model has been used in previous studies (Azimi et al., 2016). It has a square base and some small structures on the top and on one side wall. The size of the model is 10 cm × 10 cm × 1 cm. In order to keep the printing duration to about 4 h, the model was printed at 90% of its original size. The printing time, object weight, and printing speed are provided in Appendix A (Table A.1) to permit the calculation of emission yields. 2. Methods 2.1. 3D printer and filaments 2.2. Chamber measurement Our study aimed at the comparison of thermoplastic materials by use of the FFF technique. Therefore, all experiments were carried out with the same desktop 3D printer (Model M200, Zortrax, Poland). The printer has a single extruder, one heated plate, and sidewalls but no cover on the top. It does not apply glue on the printing bed. It can print an object with a maximum size of 20 cm × 20 cm × 20 cm. The 3D printer supports several filaments. Table 1 shows the filaments that have been tested in this study. These filaments were purchased from Zortrax and 3Dmensionals/Pontialis GmbH. They are based on five basic thermoplastics: ABS, ASA, HIPS, PETG and PCABS. They have different properties and are used for different applications. According to the manufacturer, ASA is for outdoor application due to its better resistance to UV radiation and humidity; PETG is resistant to salts, acids, and alkaline; PCABS is durable and impact resistant; ESD is a material The 3D printing was carried out in a 3 m3 stainless steel chamber (self-built, Fraunhofer WKI, Germany). The chamber fulfills the ISO 16000-9 (2006) standard, in which diverse requirements, including the chamber material, tightness, air supply, and air mixing efficiency, are specified. The incoming chamber air was cleaned and filtered to remove organic compounds and particles. The chamber air was set to 23 °C and 50% relative humidity. The air exchange rate was set to 1.0 h−1 or 1.5 h−1, depending on the total air volume drawn by the measuring instruments and sampling devices. As a quality assurance measure, the chamber background concentrations of VOCs and particle numbers were measured. After the printing experiment was finished, the chamber was cleaned by heating to 65 °C for 11 h at an air exchange rate of 1.0 h−1. Fig. 2 is a schematic of the chamber measurement setup. First, the 477 Environment International 123 (2019) 476–485 J. Gu et al. can be obtained through comparison of the two FMPS signals (see Fig. 4). For the determination of the particle chemical composition, particles were first sampled on quartz fiber filter using a total particle sampler at a flow rate of 20 L/min for about 4 h during the 3D printing period. Prior to sampling, the filters were baked at 300 °C for 5 h to remove any semi-volatile compounds. After sampling, the filter samples were stored at 4 °C until extraction. The filter samples were Soxhlet extracted with 100 mL acetone for 2 h. The extracted solution was reduced to 10 mL by evaporation and further concentrated to 100 μL with nitrogen gas. The concentrated extract was analyzed for organic compounds on a coupled gas chromatograph/mass spectrometry (GC/MS) system (Agilent 7890A GC; 7975C MSD; J&W HP-5ms capillary column, 30 m, 0.25 mm i.d., 0.25 μm thickness). Before choosing the method, we tried to sample particles on a quartz fiber filter followed by a polyurethane foam (PUF) cartridge as backup for SVOCs in the gas phase. This method (filter + PUF) was not successful and was not adopted. Discussions on methods determining the particle chemical composition can be found in Section 3.3. VOCs from 4 L of chamber air were sampled on stainless steel tubes filled with Tenax® TA. In three measurements, VOCs were sampled using Carbotrap® tubes in parallel with Tenax® TA tubes. Details can be found in Section 3.3 and in Appendix A (Table A.2). The tubes were analyzed on a GC/MS system (Agilent 7890A GC; 7975C MSD; J&W DB5ms capillary column, 60 m, 0.25 mm i.d., 0.25 μm thickness) after thermal desorption (Markes TD-100). VVOCs from 4 L of chamber air were sampled on stainless steel tubes filled with Carbograph 5TD and analyzed by thermal desorption GC/MS (Agilent 7890A GC; 7975C MSD; J&W DB-5ms capillary column, 60 m, 0.25 mm i.d., 0.25 μm thickness). This analytical method has been developed by Schieweck et al. (2018) and is suitable for the analysis of VVOCs between C3 and C6. The sampling of VOCs and VVOCs during printing was duplicated. Two tubes were sampled in parallel and analyzed. Moreover, particles were collected on Whatman Nuclepore™ tracketched membrane filters made of polycarbonate (pore size 15 nm) during 3D printing with ABS, PETG and GLASS. The samples were coated with carbon and analyzed by Scanning Electron Microscopy (SEM) (Zeiss LEO, Model 1530). However, the microscopic analysis did not provide reliable results. Fig. 2. Schematic of the 3D printing emission test in the chamber. online particle measuring instruments (FMPS and OPS, descriptions are provided in Section 2.3) were started. Then air samples were taken for determining the chamber background concentrations of very volatile and volatile organic compounds (see Salthammer (2016) for definitions of VVOCs and VOCs). Second, the 3D printer was loaded into the chamber, switched into stand-by mode. VVOC and VOC samples were taken 1 h after loading. Third, when the 3D printing started, the particle filter sampling started and lasted until the printing process was finished. VOCs were sampled 1 and 2 h after 3D printing started, respectively. VVOC sampling was carried out 1.5 h after 3D printing started. Online particle measurement (FMPS and OPS) continued after the end of the printing to determine the decay kinetics of the particle concentration. A detailed overview of the measurement and sampling time is provided in Fig. A.1. A single test has been performed for each filament except ABS, for which different filament colors and printing temperatures have been additionally tested (see Table 2). 2.3. Instruments and chemical analysis The particle number size distribution (PNSD) was measured by a Fast Mobility Particle Sizer (FMPS, model 3091, TSI Inc., USA) in the size range of 5.6–560 nm and by an Optical Particle Sizer (OPS, model 3330, TSI Inc., USA) in the size range of 0.3–10 μm. Both instruments can measure PNSD at a high time-resolution. A second FMPS was connected downstream to a self-built thermo-denuder (TD), which is designed for a maximum air flow of 10 L/min and can be heated stepwise from room temperature to 300 °C. The PNSD after heating was measured by the second FMPS. The information on particle volatility Table 2 Overview of printing conditions, median PNCs, CMDa, and particle unit specific emission rates (SER)a during 3D printing with different filaments. Filamentb_color ABS_Blue ABS_Green ABS_Grey ABS_Red ABS_Red ABS_Red_230 ABS_Red_240 ABS_Red_250 ABS_Red_260 ABS_White ULTRAT_Ivory ASA_Blue PETG_Black ESD_Black GLASS_Transparent HIPS_Yellow PCABS_Ivory Test roundc 2 2 2 2 1 2 2 2 2 1 2 2 1 2 1 1 1 Printing temp. (°C) 275 275 275 275 275 230 240 250 260 275 260 254 254 280 254 255 290 Printing bed temp. (°C) PNC0.3–10μm (#/cm3) PNC5.6–560nm (#/cm3) Backgroundd Printing Backgroundd 2 1 3 2 0 3 4 2 4 3 4 11 3 6 0 1 0 16 17 18 20 22 1 1 2 5 15 14 45 27 1 149 61 56 241 163 213 219 10 166 323 266 212 169 173 220 48 168 12 103 3 80 80 80 80 80 80 80 80 80 80 80 90 30 70 30 80 105 CMD (nm) Particle SER (#/min) 27 30 27 28 30 31 29 29 24 27 24 24 59 30 82 41 32 3.8 × 1010 4.3 × 1010 6.5 × 1010 4.1 × 1010 4.5 × 1010 4.2 × 109 8.3 × 109 2.3 × 1010 1.3 × 1011 2.9 × 1010 1.4 × 1011 1.7 × 1011 9.7 × 109 6.5 × 1010 2.0 × 109 3.3 × 109 7.3 × 1010 Printing 3.4 × 105 3.4 × 105 4.4 × 105 2.3 × 105 2.7 × 105 3.3 × 104 5.0 × 104 8.7 × 104 7.3 × 105 2.5 × 105 9.9 × 105 7.3 × 105 1.2 × 105 2.4 × 105 2.1 × 105 2.4 × 105 7.0 × 105 PNC0.3–10μm was measured by OPS for particles in the size range of 0.3–10 μm; the other particle parameters (PNC5.6–560nm, CMD and particle SER) were for particles in the size range of 5.6–560 nm measured by FMPS. b ABS-based filaments include ABS and ULTRAT; The PETG-based filaments include PETG, ESD and GLASS. c The air exchange rate was set to 1.0 h−1 in test round 1 and 1.5 h−1 in test round 2. d Chamber background PNCs were calculated after 3D printer was loaded and before 3D printing started. a 478 Environment International 123 (2019) 476–485 J. Gu et al. ABS_Red_260 °C, and ESD_Black), PNC0.3–10μm during printing were very low (lower than the background level), indicating few particles being emitted in the size range of 0.3–10 μm. The particle SERs in Table 2 were calculated for particles in the size range of 5.6–560 nm. The observed particle SERs ranged from 2.0 × 109 (GLASS) to 1.7 × 1011 (ASA) #/min, covering a range of nearly two magnitudes. The mean particle emission when printing ABS at the default temperature was (4.7 ± 1.1) × 1010 (mean ± standard deviation) #/min. High particle SERs were found during printing with ASA (blue), ULTRAT (ivory), ESD (black) and PCABS (ivory). Printing with GLASS (transparent), HIPS (yellow), and PETG (black) was associated with lower particle SERs. The particle emissions for the ABS_Red filament were evaluated under different printing temperatures. In addition to the default printing temperature of 275 °C for ABS, we measured particle emission at four different temperatures of 230 °C, 240 °C, 250 °C and 260 °C, respectively. Particle SERs for ABS decreased with lower extruding temperatures from 260 to 230 °C. This is consistent with other studies on the relationship between particle emission and 3D printer extruder temperatures (Zhang et al., 2017), and the association of particle emission with fuser temperature on laser printers (Wensing et al., 2009b). The particle SERs for ABS reported by previous studies were in a wide range of 2.4 × 108 to 1.5 × 1012 #/min (Azimi et al., 2016; Floyd et al., 2017; Kim et al., 2015; Seeger et al., 2018; Steinle, 2016; Stephens et al., 2013; Vance et al., 2017; Zhang et al., 2017). The SERs for ABS measured in this study are similar to those found by Azimi et al. (2016) when printing the same NIST object (2–9 × 1010 #/min) and Zhang et al. (2017) (interquartile range about 1 × 1010–1 × 1011 #/ min). 2.4. Calculation of emission rates The air pollutant concentration in the chamber air is influenced by the emission strength and the removal rate. A mass balance Eq. (1) can be used to describe the change of the chamber concentration with time dc (t ) = L·SER (t ) − k ·c (t ), dt (1) where c(t) is the pollutant concentration at time t, L is the unit loading factor in the chamber (m−3), SER(t) is the unit specific emission rate at time t, and k is the total loss coefficient (h−1). When the concentration reaches a steady state with dc(t)/dt = 0, Eq. (2) is obtained. SER = k ·c (t )/ L (2) For the non-steady state condition with dc(t)/dt ≠ 0, SER(t) can be calculated by the convolution Eq. (3) as described by Schripp et al. (2009). SER (t ) = c (t ) − c (t − ∆t )·e−k ∆t L·∆t·e−k ∆t (3) where Δt is the time interval between two adjacent measurements. The total loss coefficient k for particles was obtained by exponential fitting of the particle decay curve (for detailed description see Schripp et al. (2011)). k includes all ways of particle losses including air exchange, particle losses on chamber wall, deposition and coagulation. The VOCs, VVOCs, and TVOC (sum of total VOCs between C6 and C16) emission rates were calculated using Eq. (2). We assumed that air exchange is the only way for the loss of VOCs. The chamber is constructed from polished stainless steel, and the VOCs have a high recovery rate (> 80%, as required by ISO 16000-9 standard), indicating that such an assumption is reasonable. The concentrations during the warm-up phase after the 3D printer is loaded into the chamber were subtracted from C(t). We used this simplified method because VOCs and VVOCs were determined discontinuously, which requires a sampling time of 32 min. TVOC concentrations at 1st and 2nd hour during printing processing were close (the interquartile range of the relative differences of the 1st and 2nd hour TVOC concentrations is 3.2–17.5%). 3.1.1. Particle size distribution Each 3D printing job lasted for about 4 h. The particle number size distribution (PNSD) for particles in the size range of 5.6–560 nm during printing with ABS_Red and ASA_Blue is shown in Fig. 3. The PNC increased (~1 min) before printing started, presumably due to the heating of the residual filament in the extrusion nozzle. The PNC then increased rapidly when the printing process began. The PNC decreased after 3 h but increased again about 30 min before the printing was finished. The growth in size of particles was observed at the beginning of the printing phase. For ABS, the initial PNSD peaked at 11 nm, and increased to about 30 nm within 20 min. The PNSD then remained stable until the 3rd printing hour. Similar observations were obtained for the other filaments including ASA, ESD, PCABS, HIPS, PETG and GLASS. The median PNC (5.6–560 nm) and the particle count median diameter (CMD) during printing are shown in Table 2. CMD was about or < 30 nm for most printing jobs and filament types except for PETG (59 nm), GLASS (82 nm) and HIPS (41 nm). 3.1.3. Chemical composition Table 3 shows the quantified organic compounds collected on quartz fiber filters during 3D printing. There are four compounds, caprolactam, 4-tert-butylphenol, 2,4-di-tert-butylphenol and DEP, which can be grouped as VOCs. The other compounds are SVOCs. In the chamber blank sample, trace amounts of n-octyl ether, DiBP, TPPO, and methyl palmitate were detected. DEP, DnBP and DiBP are typical plasticizers; TCEP, TPPO and TDTBP are flame retardants; Irganox 1076 is an antioxidant. Bisphenol A is a monomer of polycarbonate. It could also be used as a stabilizing additive, which may explain its presence in ABS and ASA. Most of the printing-related compounds appeared in low concentrations of < 100 ng/m3. Irganox 1076 was detected during printing with three filaments (PCABS, ABS, and ASA) and the concentrations were the highest compared with other substances. In addition to the substances listed in Table 3, several cyclosiloxanes, including tetradecamethylcycloheptasiloxane (D7) and hexadecamethylcyclooctasiloxane (D8) were identified but not quantified in the quartz fiber filter samples. We also observed increased cyclosiloxane (D3–D6) concentrations in the VOC samples (Tenax® TA) when the 3D printer was turned on (not printing) and the printing bed was automatically heated to 55 °C. See Section 3.2 for details. These cyclosiloxanes may be used as lubricants in the mechanical components of the 3D printer, thereby being released when the printing bed is heated. The particle sampling was carried out using a total particle sampler, the particle mass size distribution can be estimated from the particle number size distribution measurements (by FMPS and OPS), assuming particles are spherical and have a density of 1.0 g/cm3. We found that the particle mass was mainly distributed in the size range of 40–200 nm. Very little mass was distributed above 1 μm. 3.1.2. Particle emission rates Median PNCs during printing and background PNCs before 3D printing started are shown in Table 2. PNC5.6–560nm during printing increased greatly compared with background concentrations. PNC0.3–10μm during printing were in the range of 1–149 #/cm3. In several tests (ABS_Red_230 °C, ABS_Red_240 °C, ABS_Red_250 °C, 3.1.4. Particle volatility The particle volatility was studied by measuring PNSD using a FMPS after the particles passed through a thermo-denuder (TD), which was heated stepwise from room temperature to 300 °C. The temperature increased by 50 °C in each step. In parallel, another FMPS measured the PNSD at room temperature. Due to technical issues, complete results 3. Results and discussions 3.1. Release of particles 479 Environment International 123 (2019) 476–485 J. Gu et al. Fig. 3. Development of PNSD during 3D printing with ABS_Red (a) and ASA_Blue (b). Note the scales are different for (a) and (b). particle size and number concentrations gradually decreased with the increase of temperature. A considerable decrease in particle size and number was observed at 150 °C (TD temperature at 100 °C was skipped). The major particle mode changed from 60–70 nm at 23 °C to 34–39 nm at 150 °C, 29 nm at 200 °C, and 11 nm at 250 °C and 300 °C. At 250 °C, almost all particles > 60 nm had disappeared. For particles emitted from printing with ABS, particle sizes and concentrations changed little at 100 °C. Visible decrease in particles > 50 nm started could only be obtained for HIPS, ABS, and PETG (up to 250 °C). Fig. 4 shows the PNC measured by FMPS 1 and FMPS 2 coupled with TD during 3D printing with HIPS (Fig. 4a), ABS (Fig. 4b) and PETG (Fig. 4c). PNC decreased at increased TD temperatures. Fig. 5 shows the change of PNSD when the aerosol was thermally stressed (Fig. 5a, c, e), and the volatility of peak mode particles (Fig. 5b, d, f). PNSD in counter plot is shown in Appendix A (Fig. A.2). With respect to particles emitted from 3D printing with HIPS, the Table 3 Concentrations of organic compounds (ng/m3)a in chamber air collected on quartz fiber filter during 3D printing with several filaments. Substance Caprolactam 4-tert-Butylphenol 2,4-Di-tert-butylphenol Diethyl phthalate (DEP) n-Octyl ether Lauryl acrylate Tris-(2-chloroethyl)-phosphate (TCEP) Diisobutyl phthalate (DiBP) Methyl palmitate Di-n-butyl phthalate (DnBP) Bisphenol A Triphenylphosphine oxide (TPPO) Tris(2,4-di-tert-butylphenyl) phosphate (TDTBP) Irganox 1076 a b Chamber blankb PCABS Ivory ABS Red HIPS Red PETG Black ASA Blue 6 22 59 33 28 19 39 30 17 12 8 31 19 70 63 26 79 17 143 46 936 17 41 25 47 10 185 78 1043 Missing value means not detected or below detection limit. Filter sampling of the chamber blank was taken in a separate test (sampling for 4 h in the empty chamber). 480 20 19 16 107 41 101 24 92 12 8 23 55 30 59 26 80 18 424 71 207 603 Environment International 123 (2019) 476–485 J. Gu et al. Fig. 4. PNC during 3D printing with HIPS (a), ABS (b) and PETG (c), respectively, measured in parallel by FMPS 1 and FMPS 2 combined with thermo-denuder (TD) under different temperatures. Dashed line indicates the ratio of PNC by FMPS 2 + TD: FMPS 1. The particle volatility result agreed with the particle chemical composition in that particles are composed of SVOCs. First, this provides additional evidence regarding the particle formation mechanism of SVOC-involved nucleation and condensation, which has been hypothesized in previous studies (Vance et al., 2017; Zhang et al., 2017). Second, proper sampling methods are needed to catch SVOCs that are distributed in both gas and particle phases. Particles may also be lost during certain analytical procedures such as SEM. Third, upon inhalation, particles emitted from 3D printing may have different clearance pathways than solid nanoparticles or soot, due to differences of particle solubility on lipids or in intracellular and extracellular fluid (Oberdörster et al., 2005; Tantra et al., 2016). The toxicity of UFPs emitted from 3D printing deserves more study. at 150 °C. The particle mode around 30 nm decreased dramatically at 200 °C. The smallest particles, particles with a diameter of around 10 nm, however, showed little change even at 300 °C. For particles emitted from printing with PETG, PNC decreased by 32%, 55% and 73% at 150 °C, 200 °C, and 250 °C, respectively. The peak mode particle (70 nm) decreased by 87% at 150 °C. The major particle mode shifted greatly, from 70 nm at room temperature to 34 nm at 150 °C, and to 11 nm at 250 °C. The results show that particles started to evaporate at 150 °C. At 300 °C, about 25% of particles remained with the particle size mode of 11 nm. In this study, we stressed the bulk aerosol from chamber air in the heated thermo-denuder and measured the particle size distribution after heating. The method was similar to a study by Wensing et al. (2009a), and different from some others (Mendes et al., 2017; Morawska et al., 2009), in which mono-dispersed particles were selected by a DMA before heating. The choice was made due to the fact that the FMPS does not select and scan particle sizes. However, the thermo-denuder was designed for the working flow rate of 10 L/min, which allows it to be used together with FMPS. The particle volatility results are obtained specifically under this test condition. We did not detect any particles using SEM analysis (results not shown). One possible explanation is that the particles, which are mainly composed of SVOCs, may evaporate under vacuum and the high-energy electron beam in SEM analysis. 3.2. Release of VOCs 3.2.1. VOCs Fig. 6 shows the VOC concentrations in the chamber air by Tenax® TA before and during 3D printing with HIPS. Two chamber background concentrations of VOCs were measured, the first one before the 3D printer was loaded (empty chamber background) and the second one after loading the printer (background with 3D printer loaded). The empty chamber background has low concentrations of acetic acid. When the printer was loaded into the chamber and powered on (stand481 Environment International 123 (2019) 476–485 J. Gu et al. Fig. 5. PNSD during 3D printing with HIPS (a), ABS (c), and PETG (e) after passing through thermo-denuder (TD) under different temperatures, and the volatility of the peak-mode particles emitted during 3D printing with HIPS (b), ABS (d) and PETG (f). The volatility is expressed as the fraction of particle number remaining after passing through TD. 55 °C, thus facilitating the evaporation of volatile organics. However, when the printer is loaded in the chamber and conditioned overnight, only low concentrations of cyclosiloxanes are detected in the chamber air. This again indicates that the cyclosiloxanes are emitted from the heated bed during warm-up of an idling 3D printer, but to a lesser extent by the 3D printing process. Major VOC species emitted during 3D printing are summarized in by, no printing), increased concentrations of cyclosiloxanes, including hexamethylcyclotrisiloxane (D3), octamethylcyclotetrasiloxane (D4), decamethylcyclopentasiloxane (D5) and dodecamethylcyclohexasiloxane (D6), were observed. Similar cyclosiloxane concentrations were detected during the printing phase, which points towards the printer case as the exclusive source of these substances. When the 3D printer is powered on, the printing bed is heated automatically to about 482 Environment International 123 (2019) 476–485 J. Gu et al. with higher concentrations during printing than background concentrations. Lower aldehydes (acetaldehyde, 2-propenal) were detected often. Acrylonitrile was detected exclusively during tests with ABSbased filaments. 3.3. Considerations on measurement & chemical analysis In this study, different methods for measuring the particulate and gaseous pollutants were employed. Some were found to be successful, while others showed limitations or failed. In the following, we therefore discuss these measurement and analytical issues. VOC sampling: VOCs were first sampled with Tenax® TA sorbent tube. Substances including benzaldehyde and n-nonanal were detected at low concentrations (a few μg/m3). These compounds could be emitted from 3D printing but could also be the by-products of Tenax® TA degradation, when reactive chemicals are present (Clausen and Wolkoff, 1997; Klenø et al., 2002). To find out which source is responsible, we additionally carried out a comparison test using Carbotrap® tube, which has no degradation products of benzaldehyde and nnonanal. VOCs were sampled in parallel on Tenax® TA tubes and Carbotrap® tubes during 3D printing with ABS, HIPS and PCABS, respectively. The data are presented in Appendix A (see Table A.2). The comparison shows that both Tenax® TA and Carbotrap® tubes detected benzaldehyde and n-nonanal at the same levels, proving that Tenax® TA is suitable for VOC sampling in this 3D printing emission experiment. Particle chemical composition: Because particles emitted from 3D printing are likely to consist of semi-volatile substances, the constituents can be found in both particle and gas phases. In this study, we initially tried to sample particles using a quartz fiber filter, and a PUF cartridge as backup for SVOCs in the gas phase. This method was not successful because of the high background of PUF, which interferes heavily with the chemical characterization. Consequently, particles were sampled on quartz fiber filter only. This approach works better due to the low background in the quartz fiber filter. However, although a proportion of SVOCs in the particle phase could be lost due to evaporation during the sampling period (negative bias, blow-off), and some part of the SVOCs in the gas phase might condense on the filter (positive bias), it was regarded as a priority of this study to first identify the chemicals. A more accurate quantification could be done by coupling a denuder (for SVOC vapor) – quartz fiber filter (for particulate SVOCs) low background backup foam (for evaporated particulate SVOCs). Another difficulty in obtaining the particle chemical composition is the low concentration and the limitation of the air sampling volume. For SVOCs at very low concentrations (shown in Table 3), a high sample volume is preferred but is difficult to achieve in a chamber experiment. Firstly, the sample flow rate is limited by the chamber size and air exchange rate. Secondly, the relatively short printing time restricts the sampling time. Therefore, the use of a large sampling volume and the smallest possible volume of the extraction is recommended. Fig. 6. VOCs chamber air concentrations (using Tenax® TA tubes) before and after loading the 3D printer, and during 3D printing with HIPS_Yellow. VOCs were sampled by Tenax® TA tubes. The chamber air exchange rate was 1.0 h−1. Table 4. The background concentrations (when the 3D printer is loaded) have been subtracted when calculating the emission rates. The TVOC emission rates, calculated as the sum of VOCs in C6–C16, are also shown. 3D printing with PETG and GLASS was related with low TVOC emission, while high emission rates were found for ULTRAT, ASA and ABS. The most abundant VOC was styrene for most of the filaments except PETG-based filaments (PETG, GLASS and ESD). In addition, for the eight filaments, benzaldehyde (8 times), acetophenone (6 times), ethylbenzene (5 times), toluene (5 times), and other C3-benzenes (5 times) were detected. VVOCs, including acrylonitrile (5 times) and acetone (5 times) were also observed; however, their concentrations may have been underestimated due to their low breakthrough volume on Tenax® TA. Emissions of dodecamethylcyclohexasiloxane and/or other siloxanes from ABS, HIPS and ASA were found, which may be caused by the variations of siloxane concentrations between background and during printing rather than direct emissions from 3D printing (see discussion above). Filaments that have the same basic polymers may show different VOC emission profiles: For instance, ABS and ULTRAT are mainly based on ABS polymer, and while the main monomers styrene and acrylonitrile were often detected, both the TVOC emission rates and other major VOCs differed. The printing temperatures of ABS and ULTRAT are also different (275 °C vs. 260 °C). Therefore, no conclusion can be drawn as to whether the subtle difference in the filament composition, the printing temperatures, or other undefined factors are contributing to the different VOC emissions. The same is found for PETG and ESD, which are both PETG-based materials. As previous studies mainly focused on PLA and ABS, few data are available for comparison. Caution should also be exercised when comparing the TVOC SERs with other studies, as the experiment conditions could be different. The SERs for ABS obtained in this study (about 15 μg/min) was in the range of 10–68 μg/min reported by Azimi et al. (2016), Floyd et al. (2017), Stefaniak et al. (2017) and Steinle (2016). The SER for HIPS in this study was 6.8 μg/min; in comparison, 33 and 46.9 ± 0.5 μg/min were reported from 3D printing with HIPS by Azimi et al. (2016) and Floyd et al. (2017), respectively. The SER for PCABS in this study (9.1 μg/min) was lower than the 65.9 ± 0.3 μg/ min found by Floyd et al. (2017). 4. Conclusions In this study, we measured and characterized the particles and organic compounds emitted from a desktop 3D printer in an environmental test chamber. High PNCs (in the size range of 5.6–560 nm) in the chamber were measured during 3D printing. The emitted particles from most filaments have CMD around or < 30 nm, except two PETGbased filaments (59, 82 nm) and HIPS (41 nm). The particle emission rates varied from 2.0 × 109 #/min (GLASS, a PETG-based filament) to 1.7 × 1011 #/min (ASA). The chemical composition of particles collected on the quartz fiber filter was analyzed. Most of the quantified chemicals are SVOCs, mainly ingredients of the thermoplastics, including the monomer caprolactam, phthalates, flame retardants and stabilizers. Cyclosiloxanes (D3–D6 in VOC samples and D7–D8 in particle filter samples) were detected as well. It is evident that D3–D6 were emitted during the heating of the printing bed. Particle volatility was 3.2.2. VVOCs Table 5 shows the concentrations of VVOCs sampled by Carbograph tubes and the emission rates during 3D printing. Only a few VVOCs were detected, mainly lower aldehydes, alcohols, and acrylonitrile, 483 Environment International 123 (2019) 476–485 J. Gu et al. Table 4 VOC emission rates (μg/min)a during 3D printing with different filaments. Substance ABS Red ULTRAT Transparent b 2-Propenal Acetoneb Acrylonitrileb Acetic acid Hexane Benzene Cyclohexane 2-Methylhexane n-Butanol 3-Methylhexane Trichloroethene Methyl methacrylate Toluene n-Butyl acetate 4-Vinylcyclohexene Ethylbenzene m,p-Xylene Styrene o-Xylene Nitrogenous substance or siloxanec,d Benzaldehyde Phenol α-Methylstyrene Benzonitrile Octanal 2-Ethyl-1-hexanol Aldehydec,d Acetophenone 2-Phenyl-2-propanol n-Nonanal Dioxanec,d 1-Dodecene Benzoic acid 2-Phenylpropenalc 3,6-Dimethyl-1,4-dioxane-2,5-dionec n-Decanal 1,5-Dimethyltetralinc 4-tert-Butylphenol Dodecamethylcyclohexasiloxane Dodecanal 4-Phenylbutyronitrilec Quinolinec 2-Isopropenylindolizinec 4-Phenylcyclohexene Carboxylic acid esterd,e 2,4-Di-tert-butylphenol Naphthalenecarbonitrilee Sum other iso/cycloalkanesd Sum other siloxanesd Sum other C3-benzenesd Sum other sesquiterpenesd Sum VOC (C6–C16) ASA Blue HIPS Yellow PETG Black GLASS Transparent PCABS Ivory ESD Black 0.1 0.2 0.1 0.7 0.4 0.1 0.4 0.2 0.3 0.04 0.1 0.3 0.1 0.2 0.1 0.2 0.2 0.2 0.2 0.2 1.1 0.2 0.3 0.1 0.4 0.1 0.3 3.9 0.6 0.2 0.5 0.7 0.1 0.1 0.1 0.3 0.9 0.1 0.2 0.4 0.1 2.1 0.4 4.8 0.2 6.4 0.2 0.8 0.1 0.8 1.4 0.1 26.3 0.1 1.7 0.2 0.2 0.1 0.1 0.2 0.8 1.6 0.1 0.5 4.8 1.3 0.2 0.5 0.1 0.5 0.8 0.1 3.0 0.1 0.1 0.2 0.2 0.1 0.4 0.5 0.3 0.1 0.1 0.1 0.1 0.1 0.2 0.1 0.1 0.3 0.1 0.3 0.9 0.2 0.1 0.2 0.3 0.3 0.2 0.2 0.2 0.3 0.3 0.3 3.0 0.4 0.2 0.03 0.1 0.2 0.4 1.6 0.8 0.1 0.1 0.5 0.2 0.1 0.3 0.2 0.04 0.1 0.1 0.1 0.3 0.6 1.2 0.2 0.1 0.2 0.5 15.3 40.5 0.2 0.1 0.3 0.5 0.3 0.6 0.5 0.5 0.2 0.2 17.3 6.8 0.6 0.2 0.5 0.2 0.2 0.1 0.1 9.1 4.4 a Missing value means not detected or below detection limit. VVOCs measured with Tenax® TA. c Quantified using toluene as reference. d Exact isomer cannot be determined, instead, the type of substances is given. e Quantified using methyl dodecanoate as reference. b cyclosiloxanes. Our data, which supplement results from previous studies, lead to the conclusion that, regarding particulate and gaseous emissions, 3D printing technology and the chemical composition of filaments still need to be optimized. evaluated by heating the aerosol and measuring the particle size distribution. Emitted particles are volatile, and start to evaporate from 150 °C. The results show large variations of VOC emission rates from different filaments: the total VOC (C6–C16) emission rates ranged from 0.2 μg/min (GLASS, a PETG-based filament) to 40.5 μg/min (ULTRAT, an ABS-based filament). Styrene was the major VOC, followed by other substances including benzaldehyde and ethylbenzene. VVOCs were also sampled and only a few substances (e.g. acetaldehyde and 2-propanal, acrylonitrile, and alcohol) were detected at low concentrations. To the best of our knowledge, we have demonstrated for the first time that the particles emitted from a desktop 3D printer are semi-volatile and are composed of SVOCs which are mainly thermoplastic additives and Acknowledgement This work is supported by Fraunhofer WKI internal funding. We would like to thank Alexander Omelan and Deniz Varol for the chemical analysis of particle filter samples. 484 Environment International 123 (2019) 476–485 J. Gu et al. Table 5 VVOC chamber air concentrationsa and emission rates during 3D printing. Filament Substance Concentration (μg/m3) Background ASA_Blue ESD_Black ULTRAT_Ivory ABS_Gray ABS_Green ABS_Blue a b Acetaldehyde n-Butanol Butaneb 2-Propenal Acrylonitrileb Ethanol 2-Propenal Acetone Acrylonitrileb Acetaldehyde 2-Propenal 8 1 3 <1 4 <1 <1 <1 <1 7 <1 Morawska, L., He, C., Johnson, G., Jayaratne, R., Salthammer, T., Wang, H., et al., 2009. An investigation into the characteristics and formation mechanisms of particles originating from the operation of laser printers. Environ. Sci. Technol. 43, 1015–1022. Moylan, S., Slotwinski, J., Cooke, A., Jurrens, K., Donmez, M.A., 2012. Proposal for a standardized test artifact for additive manufacturing machines and processes. In: Solid Freeform Fabrication Symposium, Austin, TX. Oberdörster, G., Oberdörster, E., Oberdörster, J., 2005. Nanotoxicology: an emerging discipline evolving from studies of ultrafine particles. Environ. Health Perspect. 113, 823–839. Salthammer, T., 2016. 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