OSCR

Quantifying Olfactory and Alveolar Deposition of Ultrafine Particles Using Multiscale Modeling: Implications for Brain Exposure.

Overview

Authors: Karine Sartelet1, Lya Lugon1, Soo-Jin Park1, François Gaie-Levrel2
ORCID iDs: Karine Sartelet
  1. CEREA, ENPC, Institut Polytechnique de Paris, EDF R&D, IPSL, 77 455 Marne la Vallée, France
  2. AIRPARIF, The Air Quality Observatory for the Paris Region, 77 004 Paris, France
Journal: Environmental science & technology, volume 60, issue 27, pages 19465-19475
Dates: received 17 April 2026; accepted 22 June 2026; published online 25 June 2026; in print July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1021/acs.est.6c05750 · PMID 42346986 · PMCID PMC13374090 · OpenAlex W7165853809
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: human (organism)
Keywords: lung deposition surface area, particle size distribution, traffic, wood heating, particle translocation, particle number, hygroscopic growth, children
MeSH: Brain*, Particulate Matter*, Air Pollutants, Humans, Particle Size, Pulmonary Alveoli (* major topic)
Topic: Air Quality and Health Impacts (Health, Toxicology and Mutagenesis, Environmental Science), according to OpenAlex
Funding: GENCI (A0170114641, A0190114641); Agence de la transition ?cologique (ENZU); Agence Nationale de la Recherche (ANR-24-PVD0007)
Citations: not cited yet (Europe PMC); 64 references in the paper

Abstract

Atmospheric particle exposure is commonly characterized using mass-based metrics that inadequately capture particle surface area, respiratory deposition, and direct brain delivery pathways. Ultrafine particles (UFPs) contribute marginally to PM2.5 mass yet account for a disproportionate fraction of deposited surface area in both the lungs and the nasal olfactory region, a critical gateway for direct particle translocation to the brain. Using multiscale atmospheric modeling from continental to street level, evaluated against NO2, particulate mass, chemical composition, and size-resolved particle observations, we quantify particle deposition through lung-deposited surface area (LDSA) and olfactory deposition, explicitly accounting for hygroscopic growth. UFPs account for more than one-third of alveolar surface deposition in urban environments, and particles smaller than 400 nm dominate alveolar deposition despite their marginal contribution to PM2.5 mass. Decoupling between PM2.5 and deposited surface area persists across cities, source contributions, and population groups, with children experiencing approximately 3-fold higher alveolar doses than adults. Residential wood heating dominates winter PM2.5 and alveolar deposition, whereas traffic controls particle number and olfactory deposition. Critically, under the tested translocation assumptions, olfactory deposition of UFPs is estimated to exceed blood-borne translocation to the brain by several hundred-fold, supporting the relevance of neuronal pathways for brain-relevant particle delivery and consistent with recent observations of black carbon in the human olfactory bulb.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

Zenodo 12639507

License: CC-BY-4.0
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Size: 2 files
Software Heritage: not checked
Found in: the references
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
At the source:

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Version 2, 28 September 2026

  • Publisher: — → American Chemical Society

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 8 keywords, 6 MeSH terms, 3 funders, 62 references.

Cite

This paper

Sartelet, K., Lugon, L., Park, S.-J., & Gaie-Levrel, F. (2026). Quantifying Olfactory and Alveolar Deposition of Ultrafine Particles Using Multiscale Modeling: Implications for Brain Exposure. Environmental science & technology, 60(27), 19465-19475. https://doi.org/10.1021/acs.est.6c05750

BibTeX

@article{sartelet2026quantifying,
author = {Sartelet, Karine and Lugon, Lya and Park, Soo-Jin and Gaie-Levrel, François},
title = {{Quantifying Olfactory and Alveolar Deposition of Ultrafine Particles Using Multiscale Modeling: Implications for Brain Exposure}},
journal = {Environmental science \& technology},
year = {2026},
month = jun,
volume = {60},
number = {27},
pages = {19465--19475},
publisher = {American Chemical Society},
issn = {0013-936X},
doi = {10.1021/acs.est.6c05750},
url = {https://doi.org/10.1021/acs.est.6c05750},
pmid = {42346986},
pmcid = {PMC13374090}
}

RIS

TY - JOUR
AU - Sartelet, Karine
AU - Lugon, Lya
AU - Park, Soo-Jin
AU - Gaie-Levrel, François
TI - Quantifying Olfactory and Alveolar Deposition of Ultrafine Particles Using Multiscale Modeling: Implications for Brain Exposure
T2 - Environmental science & technology
J2 - Environ Sci Technol
PY - 2026
DA - 2026/06/25
VL - 60
IS - 27
SP - 19465
EP - 19475
SN - 0013-936X
PB - American Chemical Society
DO - 10.1021/acs.est.6c05750
UR - https://doi.org/10.1021/acs.est.6c05750
LA - en
ER -

CSL-JSON

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