Data for Particle and Volatile Organic Compound Emissions from a 3D Printer Filament Extruder
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Data for Particle and Volatile Organic Compound Emissions from a 3D Printer Filament Extruder. This dataset is associated with the following publication: Byrley, P., A. Wallace, W. Boyes, and K. Rogers. Particle and volatile organic compound emissions from a 3D printer filament extruder. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 736: 139604, (2020).
3D Printer Emissions Base Data for 3D Printer Particle Emissions: Translation to Internal Dose in Adults and Children 060619-061019
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This dataset contains the raw data output from measurements of 3D printer emissions using both ABS and PLA feedstocks. This dataset is associated with the following publication: Byrley, P., W. Boyes, K. Rogers, and A. Jarabek. 3D Printer Particle Emissions: Translation to Internal Dose in Adults and Children.. JOURNAL OF AEROSOL SCIENCE. Elsevier Science Ltd, New York, NY, USA, 154: 105765, (2021).
3D Printers Emissions of Environmentally Persistent Free Radicals (EPFRs)
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Polymers used in 3D printing are known to emit hazardous materials when heated. While the emissions from pristine polymers and some filaments have been studied, many filaments contain additives that may influence their hazardous emissions. This research used a variety of commercially-available 3D printer filaments to assess the possibly formation of environmentally persistent free radicals (EPFRs), a class of surface-bound free radicals that have much longer lifetimes compared to their gas-phase counterparts. Electron paramagnetic resonance (EPR) spectroscopy was used to successfully identify EPFRs in particulate matter collected during regular 3D printer use. These findings should influence future studies on 3D printer emissions to include consideration of EPFR formation. These methodologies may be used by EPA's Chemical Safety and Pollution Prevention (OCSPP), Consumer Protection and Safety Commission (CPSC), and National Institute of Occupational of Safety and Health (NIOSH). This dataset is associated with the following publication: Hasan, F., P.M. Potter, S.R. Al-Abed, J. Matheson, and S.M. Lomnicki. Investigating environmentally persistent free radicals (EPFRs) emissions of 3D printing process. Chemical Engineering Journal. Elsevier BV, AMSTERDAM, NETHERLANDS, 480: 148158, (2024).
Metal composition of particle emissions from 3D printing
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Data used to generate Table 2 and 3 in the manuscript Metal compositions of particle emissions from material extrusion 3D printing: Emission sources and indoor exposure modeling, https://doi.org/10.1016/j.scitotenv.2022.160512. This dataset is associated with the following publication: Zhang, Q., R.J. Weber, T.P. Luxton, D.M. Peloquin, E.J. Baumann, and M.S. Black. Metal compositions of particle emissions from material extrusion 3D printing: Emission sources and indoor exposure modeling. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 860: 160512, (2023).
Particle and organic vapor emissions from children’s 3-D pen and 3-D printer toys
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The data presented includes the total elemental analysis, via ICP-MS) of aerosol emissions from 3D printer of thermoplastic polymers. This dataset is associated with the following publication: Yi, J., M.G. Duling, L.N. Bowers, A.K. Knepp, R.F. LeBouf, T.R. Nurkiewicz, A. Ranpara, T. Luxton, S.B. Martin Jr, D.A. Burns, D.M. Peloquin, E.J. Baumann, M.A. Virji, and A.B. Stefaniak. Particle and organic vapor emissions from children’s 3-D pen and 3-D printer toys. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(13-14): 432-445, (2019).
Each sheet in the current spreadsheet contains data that was generated by the USEPA ORD and used in the manuscript entitled: Particle and Vapor Emissions from Vat Polymerization Desktop-scale 3-Dimensional Printers. For the research project the USEPA ORD was responsible for identifying the elemental composition and concentration for each of the 5 different resin used in the project. The chemical composition and concentration were determined for the as purchased uncured resin and a cured resin printed object. Data produced from the research that was included in the manuscript was presented in Table 3. Identities of elements in bulk feedstock resin, airborne particles emitted during vat polymerization 3-D printing, and printed objects; and Supporting Information Table S5 Elemental content of bulk grey liquid resins and printed solid objects by ICP analysis (mg/kg) The data presented in Table 3 is presented in Sheet2 and the data presented in Table S5 is located in Sheet3. This dataset is associated with the following publication: Stefaniak, A.B., L.N. Bowers, A.K. Knepp, T.P. Luxton, D.M. Peloquin, E.J. Baumann, J.E. Ham, J.R. Wells, A.R. Johnson, R.F. LeBouf, F.-. Su, S.B. Martin Jr., and M.A. Virji. Particle and vapor emissions from vat polymerization desktop-scale 3-dimensional printers. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 16(8): 519-531, (2019).
VOC Emissions and Formation Mechanisms from Carbon Nanotube Composites During 3D Printing
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The data set contains the details on the thermal degradation that takes place during 3D printing of acrylonitrile butadiene styrene both with and without carbon nanotubes. Volatile organic compound (VOC) emissions are measured and used to develop reaction mechanisms. This dataset is associated with the following publication: Potter, P., S. Al-Abed, D. Lay, and S. Lomnicki. VOC Emissions and Formation Mechanisms from Carbon Nanotube Composites during 3D Printing. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53: 4364-4370, (2019).
Variability in the Inorganic composition of 3D printer filaments
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The data provided in the spreadsheet was used to generate Figures 1, 2 and 3 in the manuscript Variability in the inorganic composition of colored acrylonitrile–butadiene–styrene and polylactic acid filaments used in 3D printing: https://doi.org/10.1007/s42452-022-05221-7. This dataset is associated with the following publication: Peloquin, D.M., L.N. Rand, E.J. Baumann, A. Gitipour, J. Matheson, and T.P. Luxton. Variability in the inorganic composition of colored acrylonitrile–butadiene–styrene and polylactic acid filaments used in 3D printing. Applied Sciences. MDPI, Basel, SWITZERLAND, 5: 10, (2023).
Analytical Dataset
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This dataset contains the basic analytical outputs used to generate figures for the paper and used as the basis for modeling inputs. It also contains a workup of the SVOC data from the integrated areas, since these were assembled via non-standard methods. This dataset is associated with the following publication: Martin, J., X. Liu, I. George, K. Seltzer, H. Halliday, M. Hays, and H. Pye. Implications of printing ink composition for ambient air pollutants. ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(9): 1987–1995, (2025).
Printing Ink Implications for Criteria and Hazardous Air Pollutants Analysis (v1.0)
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This dataset includes a link to the CRACMM repository which contains code describing organic aerosol and ozone calculations in Martin et al. and a jupyter notebook (in html and ipynb formats) describing the calculations leading to Figures 2-4 in Martin et al. Inputs to the notebook, data appearing in Figures 2-4, and output figures are also included. See the README and notebook for more details. Manuscript this data supports: Martin, Joseph; Liu, Xiaoyu; George, Ingrid ; Seltzer, Karl; Halliday, Hannah; Hays, Michael; Pye, Havala, Implications of printing ink composition for ambient air pollutants, submitted.