Please use this identifier to cite or link to this item: 10.17770/etr2023vol2.7276
Title: Multiple Path Particle Dosimetry Model Concept and its Application to Determine Respiratory Tract Hazards in the 3D Printing
Authors: Borisova, Anna
Rudus, Karīna
Pavlovska, Ilona
Martinsone, Žanna
Mrtiņsone, Inese
Laboratory of Hygiene and Occupational Diseases
Institute of Occupational Safety and Environmental Health
Department of Occupational and Environmental Medicine
Keywords: clearance;deposition;MPPD model;particulate matter;3.3 Health sciences;2.7 Environmental engineering;3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database;General Environmental Science;SDG 3 - Good Health and Well-being
Issue Date: 2023
Publisher: Rezekne Higher Education Institution
Citation: Borisova , A , Rudus , K , Pavlovska , I , Martinsone , Ž & Mrtiņsone , I 2023 , Multiple Path Particle Dosimetry Model Concept and its Application to Determine Respiratory Tract Hazards in the 3D Printing . in Vide.Tehnoloģija. Resursi:14. starptautiskās zinātniski praktiskās konferences materiāli : Environment. Technology. Resources: proceedings of the 14th International Scientific and Practical Conference . vol. 2 , 191610 , Vide. Tehnologija. Resursi - Environment, Technology, Resources , vol. 2 , Rezekne Higher Education Institution , Rēzekne , pp. 23-27 , 14th International Scientific and Practical Conference on Environment. Technology. Resources, ETR 2023 , Rezekne , Latvia , 15/06/23 . https://doi.org/10.17770/etr2023vol2.7276
conference
Series/Report no.: Vide. Tehnologija. Resursi - Environment, Technology, Resources
Abstract: The Multiple Path Particle Dosimetry (MPPD) model is computer software that estimates and visualizes the deposition, clearance, and retention of particles in the respiratory tract systems of humans, rats, and other species. The mathematical model provides a broad spectrum of settings and input options. This research aims to explore the MPPD model concept and determine the deposition fraction (DF), clearance, and retained mass in the human respiratory tract (HRT) based on the geometric mean diameter (GMD) and mass concentration (MC) of particulate matter (PM) emitted during the 3D printing process. We used the real-time air sample data collected during the 8-hour working shift in the 3D printing office. Ultrafine PM deposits mainly in lungs (56%), fine PM mostly deposits in the upper respiratory tract (URT) (41%) and lungs (39%), but coarse PM mostly deposits in the URT (81%). The biggest DF in lower respiratory tract is ultrafine PM (487 μg), the smaller DF is coarse PM (185 μg) and the smallest DF is fine PM (123 μg). The biggest DF in lung for all PM - lower lobes (fine PM - 60%, ultrafine PM, coarse PM - 61%). In a model, where exposure was 5 hours a day, five days a week, during one month, followed by one year of post-exposure period, it was shown that retained mass in the tracheobronchial (TB) region was 1% for ultrafine and coarse PM each, 2% for fine PM, and 55% for all PM in the pulmonary region. The MPPD software is an easily accessible and valuable tool for assessing the impact of PM on the HRT. Particulate matter decreasing in diameter, tend to deposit mostly in the deeper levels of HRT. Tracheobronchial region clearance is more rapid than pulmonary region clearance. Potentially for persons using the 3D-printer regularly the worst health impact could be associated with smaller size of PM, due to tendency deposit mostly in pulmonary region where the clearance rate is slower.
Description: Publisher Copyright: © 2023 Rezekne Higher Education Institution. All rights reserved.
DOI: 10.17770/etr2023vol2.7276
ISBN: 9781713874881
9781713874881
ISSN: 1691-5402
Appears in Collections:Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure

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