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Cited by 348

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The Effect of Particle Size on the Regional Deposition of Inhaled Aerosols in the Human Respiratory Tract

Lippmann, Morton, Albert, Roy E.·1969·American Industrial Hygiene Association Journal

Abstract

The effect of particle size on the regional deposition of aerosols inhaled through the mouth was determined in 93 studies on 34 subjects. The test aerosols were spherical monodisperse insoluble iron oxide particles (specific gravity 2.5) containing radioactive tags, ranging in median unit density diameter from 2.1 to 12.5-microns (σ ≅ 1.08). Particles deposited on the bronchial tree were translocated to the stomach by mucociliary clearance which was essentially complete within the first day. The proportion of the initial lung burden of radioactive particles removed during the first 24 hours provided a functional measure of tracheo-bronchial deposition. A portion of the inhaled aerosol was deposited in the head by impaction. As an impactor, the tracheobronchial tree is more efficient. For each individual subject, head and tracheobronchial deposition increased with increasing particle size. Alveolar depositions decreased with size for particles larger than 4-microns.

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Metadata

Authors
Lippmann, M., & Albert, R. E.
Venue
American Industrial Hygiene Association Journal
Published
1969-05
Volume
30
Issue
3
Pages
257-275
ISSN
0002-8894 (ISSN-L)
OpenAlex
W2169425310
Cited by
348
References
0
FWCI
16.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Effect of Particle Size on the Regional Deposition of Inhaled Aerosols in the Human Respiratory Tract. https://app.cochat.ai/papers/10.1080/00028896909343120
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Lippmann, M., & Albert, R. E. (1969). The Effect of Particle Size on the Regional Deposition of Inhaled Aerosols in the Human Respiratory Tract. American Industrial Hygiene Association Journal. https://doi.org/10.1080/00028896909343120

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.