Article ; Online: Using particle dimensionality-based modeling to estimate lung carcinogenicity of 3D printer emissions.
Journal of applied toxicology : JAT
2023 Volume 44, Issue 4, Page(s) 564–581
Abstract: The use of 3D printing technologies by industry and consumers is expanding. However, the approaches to assess the risk of lung carcinogenesis from the emissions of 3D printers have not yet been developed. The objective of the study was to demonstrate a ... ...
Abstract | The use of 3D printing technologies by industry and consumers is expanding. However, the approaches to assess the risk of lung carcinogenesis from the emissions of 3D printers have not yet been developed. The objective of the study was to demonstrate a methodology for modeling lung cancer risk related to specific exposure levels as derived from an experimental study of 3D printer emissions for various types of filaments (ABS, PLA, and PETG). The emissions of 15 filaments were assessed at varying extrusion temperatures for a total of 23 conditions in a Class 1,000 cleanroom following procedures described by ANSI/CAN/UL 2904. Three approaches were utilized for cancer risk estimation: (a) calculation based on PM2.5 and PM10 concentrations, (b) a proximity assessment based on the pulmonary deposition fraction, and (c) modeling based on the mass-weighted aerodynamic diameter of particles. The combined distribution of emitted particles had the mass median aerodynamic diameter (MMAD) of 0.35 μm, GSD 2.25. The average concentration of PM2.5 was 25.21 μg/m |
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MeSH term(s) | Humans ; Nanotubes, Carbon ; Particulate Matter/toxicity ; Polyesters ; Lung ; Lung Neoplasms/chemically induced ; Lung Neoplasms/epidemiology ; Particle Size ; Air Pollution, Indoor/analysis ; Thiogalactosides |
Chemical Substances | Nanotubes, Carbon ; phenylethylthio-beta-galactopyranoside (63407-54-5) ; Particulate Matter ; Polyesters ; Thiogalactosides |
Language | English |
Publishing date | 2023-11-11 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 604625-3 |
ISSN | 1099-1263 ; 0260-437X |
ISSN (online) | 1099-1263 |
ISSN | 0260-437X |
DOI | 10.1002/jat.4561 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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