Increased particle mass deposition on lung tissue due to industrial and waste-burning activities

Journal Article (2025)
Author(s)

Anusmita Das (Universität Rostock, Helmholtz Zentrum München)

Erwin W. Karg (Leibniz-Institut für Troposphärenforschung)

George A. Ferron (Leibniz-Institut für Troposphärenforschung)

Jürgen Schnelle-Kreis (Helmholtz Zentrum München)

Anil Kumar Mandariya (Université Paris-Est-Créteil, Université Paris Cité)

Gazala Habib (Indian Institute of Technology Delhi)

Alfred Wiedensohler (Leibniz-Institut für Troposphärenforschung)

Mira L. Pöhlker (Leibniz-Institut für Troposphärenforschung)

Ralf Zimmermann (Universität Rostock, Helmholtz Zentrum München)

Ajit Ahlawat (Leibniz-Institut für Troposphärenforschung, TU Delft - Civil Engineering & Geosciences)

Research Group
Atmospheric Remote Sensing
DOI related publication
https://doi.org/10.1016/j.envint.2025.109548 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Atmospheric Remote Sensing
Journal title
Environment International
Volume number
201
Article number
109548
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82
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Abstract

Understanding airborne particle mass deposition in the lungs is crucial for assessing health effects, particularly in regions with severe air pollution. While several studies have modelled lung deposition, there is limited information on lung tissue deposition that incorporates factors like hygroscopicity and density in polluted environments or source-specific exposures. This study examines the impact of atmospheric aerosol properties, including particle number size distribution, effective density, and hygroscopic growth, on lung tissue deposition using data from a measurement campaign in Delhi, India. Using the Hygroscopic Particle Lung Deposition (HPLD) model, the number (TDn) and mass (TDm) of tissue-deposited particles were calculated for various episodes: biomass burning (BB), chloride (Cl), hydrocarbon-like organic aerosol (HOA), and relatively clean (RC) periods. Chloride episodes, linked to industrial and waste burning activities, showed the highest tissue deposition mass (28 pg cm−2h−1), followed by BB (22 pg cm−2h−1), HOA (17 pg cm−2h−1), and RC (14 pg cm−2h−1) on total inner lung surface area. In addition, incorporating hygroscopicity and density increased deposition estimates by 1.8–2.8 times. This study underscores the importance of quantifying tissue deposition doses for improving exposure assessments, particularly in highly polluted regions where elevated particulate levels exacerbate lung inflammation, respiratory issues, and cancer risk.