MULTIPLE PATH PARTICLE DOSIMETRY MODEL CONCEPT AND ITS APPLICATION TO DETERMINE RESPIRATORY TRACT HAZARDS IN THE 3D PRINTING

Authors

  • Anna Borisova Rīga Stradiņš University, Faculty of Medicine (LV)
  • Karīna Rudus Rīga Stradiņš University, Faculty of Medicine (LV)
  • Ilona Pavlovska Rīga Stradiņš University Laboratory of Hygiene and Occupational Diseases, Institute of Occupational Safety and Environmental Helath (LV)
  • Žanna Martinsone Rīga Stradiņš University, Laboratory of Hygiene and Occupational Diseases, Institute of Occupational Safety and Environmental Helath, Department of Occupational and Enviromental Medicine (LV)
  • Inese Mārtiņsone Rīga Stradiņš University, Laboratory of Higiene and Occupational Diseases, Institute of Occupational Safety and Environmental Helath (LV)

DOI:

https://doi.org/10.17770/etr2023vol2.7276

Keywords:

MPPD model, particulate matter, deposition, clearance

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.

Supporting Agencies
The research was carried out within a project of National Programme Grants (RSU Grants) “Occupational health and safety risks during 3D printing” 6-ZD-22/22/2022.

Downloads

Download data is not yet available.

References

R.A. Buswell, W.R. Leal de Silva, S.Z. Jones, J. Dirrenberger, “3D printing using concrete extrusion : A roadmap for research”, Cement and Concrete Research, vol. 112, pages 37- 49, 2018.

https://doi.org/10.1016/j.cemconres.2018.05.006

S. Murphy, A. Atala, “3D bioprinting of tissues and organs”, Nature Biotechnology, vol. 32, pages 773 – 785, 2014.

http://dx.doi.org/10.1038/nbt.2958

B. Blakey – miller, P. Gradl, G. Snedden, M. Brooks, J. Pitot, E. Lopez, M. Leary, F. Berto, A. du Plessis, “Metal additive manufacturing in aerospace: A review”, Materials & Design, vol. 209, page 110008, 2021.

https://doi.org/10.1016/j.matdes.2021.110008.

Food Printing: 3D Printing in Food Industry. Book. 2022. https://link.springer.com/book/10.1007/978-981-16-8121-9 [Accessed on February 23 2023].

J. Visser, B. Peters , T.J. Burger, J. Boomstra, W.J. Dhert, F.P. Melchels, J. Malda, “Biofabrication of multi – material anatomically shaped tissue constructs”, Biofabrication, vol. 5, no. 3, 2013.

https://doi.org/10.1088/1758-5082/5/3/035007

D.D. Wang, Z. Qian, Z. Vukicevic, S. Engelhardt, A. Kheradvar, C. Zhang, S. H. Little, J. Verjans, D. Comaniciu, W. W. O'Neill, M.A. Vannan, “3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease”, JACC Cardiovasc Imaging, vol. 14, pages 41 – 60, 2021.

https://doi.org/10.1016/j.jcmg.2019.12.022

X. Wei, M.L. Jin, H. Yang, X. X. Wang, Y. Z. Long, Z. Chen, “Advances in 3D printing of magnetic materials: Fabrication, properties and their applications”, Journal od Advanced Ceramics, vol. 11, pages 665 – 701, 2022.

https://doi.org/10.1007/s40145-022-0567-5

Z. Wang, Z. Guo, Z. Li, K. Zeng, “Design, manufacture, and characterisation of hierarchical metamaterials for simultaneous ultra-broadband sound-absorbing and superior mechanical performance”, Virtual ans Physical Prototyping, vol. 18, 2022.

https://doi.org/10.1080/17452759.2022.2111585

F. Bos, R. Wolfs, Z. Ahmed, T. Salet, “Additive manufacturing of concrete in construction: potentials and challenges of 3D concrete printing”, Virtual and Physical Prototyping, vol. 11, pages 209–225, 2016.

https://doi.org/10.1080/17452759.2016.1209867

X. Lin, D. Qu, X. Chen, Z. Wang, J. Luo, D. Meng, G. Liu, K. Zhang, F. Li, X. Yu, “Three-dimensional printed metal-nested composite fuel grains with superior mechanical and combustion properties, Virtual and Physical Prototyping, vol. 17, pages 437 – 450, 2022.

https://doi.org/10.1080/17452759.2022.2035934

P. Azimi, D. Zhao, C. Pouzet, N. E. Crain, B. Stephens, “Emissions of Ultrafine Particles and Volatile Organic Compounds from Commercially Available Desktop Three-Dimensional Printers with Multiple Filaments”, Environmental Science & Technology, vol. 50, pages 1260 – 1268, 2016.

https://doi.org/10.1021/acs.est.5b04983

E. L. Floyd, J. Wang, J. L. Regens, “Fume emissions from a low-cost 3-D printer with various filaments”, Journal of Occupational and Environmental Hygiene, vol. 14, pages 523–533, 2017.

https://doi.org/10.1080/15459624.2017.1302587

I. Pavlovska , Ž. Martinsone, A. Kļaviņa, L. Akūlova, L. Paegle, “Emissions from 3D Printers as Occupational Environmental pollutants”, Sciendo, vol. 25, pages 1018 – 1031, 2021.

https://doi.org/10.2478/rtuect-2021-0077

Applied Research Associates, MPPD: Multiple – Path Particle Dosimetry Model (MPPD V 3.04) [Online]. Available: https://www.ara.com/mppd/ [Accessed: March 10, 2023].

P. Byrley, W. K. Boyes, K. Rogers, A. M. Jarabek, “3D printer particle emissions: Translation to internal dose in adults and children”, Journal of Aerosol Science, vol. 154, page 105765, 2021.

https://doi.org/10.1016/j.jaerosci.2021.105765

A. Satish, B. Ashgarian, “A Multiple – path Model of particle Deposition in the Rat Lung”, Fundamental and Applied Toxicology, vol. 28, pages 41 – 50, 1995.

https://doi.org/10.1006/faat.1995.1144

B. Asgharian, W. Hofmann, R. Bergmann. “Particle Deposition in a Multiple-Path Model of the HumanLung”, Aerosol Science and Technology, vol. 34, pages 332 – 339, 2001.

https://doi.org/10.1080/02786820119122

B. Asgharian, “Respiratory Deposition and Inhalability of Monodisperse Aerosols in Long-Evans Rats”, Toxicological Sciences, vol. 71, pages 104 – 111, 2003.

https://doi.org/10.1093/toxsci/71.1.104

B. Asgharian, F. J. Miller, O. Price, J. D. Schroeter, D. R. Einstein, R. A. Corley, T. Bentley, “Modeling particle deposition in the pig respiratory tract”, Journal of Aerosol Science, vol. 99, pages 107 – 124, 2016.

https://doi.org/10.1016/j.jaerosci.2016.01.016

F. J. Miller, B. Asgharian, J. D. Schroeter, O. Price, “Improvements and additions to the Multiple Path Particle Dosimetry model”, Journal of Aerosol Science, vol. 99, pages 14–26, 2016.

https://doi.org/10.1016/j.jaerosci.2016.01.018

B. Asgharian, O. Price, A. A. T. Borojeni, A. P. Kuprat, S. Colby, R. K. Singh, W. Gu, R. A. Corley, C. Darquenne, “Influence of alveolar mixing and multiple breaths of aerosol intake on particle deposition in the human lungs”, Journal of Aerosol Science, vol. 166 , page 106050, 2022.

https://doi.org/10.1016/j.jaerosci.2022.106050

C. Darquenne, “Deposition Mechanisms”, Journal of Aerosol Medicine and Pulmonary Drug Delivery, vol. 33, pages 181–185, 2020.

https://doi.org/10.1089/jamp.2020.29029.cd

S. Ragopalan, S. G. Al-Kindi, R. D. Brook, “Air Pollution and Cardiovascular Disease”, Journal of the American College of Cardiology, vol. 72, pages 2054 – 2070, 2018.

https://doi.org/10.1016/j.jacc.2018.07.099

A. Karwasz, F. Osiński, “Analysis of Emission Solid Particles from the 3D Printing Process” Lecture Notes in Mechanical Engineering, pages 216–226, 2022.

https://doi.org/10.1007/978-3-031-00805-4_18

Y. Mohammadian, N. Nasirzadeh, “Toxicity risk of occupational exposure in 3D printing and bioprinting industries: A systemic review”, vol. 37, pages 415 – 430, 2021.

https://doi.org/10.1177/07482337211031691

A. Goel, S. Izhar, T. Gupta, “Study of Environmental Particle Levels, Its Effects on Lung Deposition and Relationship with Human Behaviour”, Environmental Contaminants, pages 77–91, 2017.

https://doi.org/10.1007/978-981-10-7332-8_4.

A. I. Gipsman, N. C. Lapinel, O. H. Mayer, “Airway Clearance in Patients with Neuromuscular Disease”, Paediatric Respiratory Reviews, vol. 11, pages 120 – 130, 2023.

https://doi.org/10.1016/j.prrv.2023.02.002

Downloads

Published

2023-06-13

How to Cite

[1]
A. Borisova, K. Rudus, I. Pavlovska, Žanna Martinsone, and I. Mārtiņsone, “MULTIPLE PATH PARTICLE DOSIMETRY MODEL CONCEPT AND ITS APPLICATION TO DETERMINE RESPIRATORY TRACT HAZARDS IN THE 3D PRINTING”, ETR, vol. 2, pp. 23–27, Jun. 2023, doi: 10.17770/etr2023vol2.7276.