Evidence map›Paper›PMID 41707027›Full record

ArticleEnvironmental science & technology2026

Dynamic Evolution of Mass and Physical Properties of Atmospheric Organic Aerosol Under Solar Irradiance.

Bin Bai, Gregory W Vandergrift, Yutong Liang, Yaowei Li, Zezhen Cheng, Yuchen Wang, Nara Shin, Frank Keutsch, Andrew Lambe, Swarup China and 2 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Bin BaiSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-6979-7412
Gregory W VandergriftEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0002-8962-9897
Yutong LiangSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0003-1372-772X
Yaowei LiSchool of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.ORCID 0000-0003-0725-6108
Zezhen ChengEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0001-6320-4519
Yuchen WangSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Nara ShinSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0003-0322-3309
Frank KeutschSchool of Engineering and Applied Sciences and Department of Chemistry and Chemical Biology and Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.ORCID 0000-0002-1442-6200
Andrew LambeAerodyne Research, Billerica, Massachusetts 01821, United States.ORCID 0000-0003-3031-701X
Swarup ChinaEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0001-7670-335X
Nga L NgSchool of Earth and Atmospheric Sciences and School of Chemical and Biomolecular Engineering and School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0001-8460-4765
Pengfei LiuSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0001-7280-9720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organic aerosol (OA) particles constitute a substantial fraction of submicron particulate mass in the atmosphere and play a critical role in climate system. OA undergoes dynamic aging processes in the atmosphere, with photolytic aging induced by ultraviolet solar irradiance being an important yet poorly characterized mechanism. Knowledge gaps persist regarding the role of volatility transformations during photolytic aging on the OA mass decay kinetics and the evolution of climate-relevant properties, such as hygroscopicity, hindering the model evaluation of OA spatiotemporal distributions and atmospheric budgets. In this study, we conduct isothermal photolytic aging experiments on both laboratory-generated secondary organic aerosols and ambient-collected particles from urban Atlanta, utilizing a high-sensitivity Quartz Crystal Microbalance. Our results reveal that photolytic aging reduces 40-66% of the low-volatility OA mass with lifetimes ranging from 8 to 200 h under solar irradiance, and 44-92% of the photolytic mass loss is through slow evaporation of semi- or intermediate-volatile products, kinetically limited by their volatility. We observe up to ±50% changes in OA hygroscopicity with the transformation of fresh OA to photorecalcitrant low-volatility products, associated with changes in oxygen-to-carbon ratio and molecular weight. A kinetic model incorporating photolytic volatility transformation provides a cohesive explanation for the observed photolysis-induced changes in mass, volatility, and hygroscopicity. Our results can help constrain model representation of the dynamic evolutions of mass and climate-relevant properties during photolytic aging processes of the ambient OA, improving our understanding of OA atmospheric behavior and climate impact.

Indexed as

AerosolsSunlightAtmosphereAerosolselemental ratioshygroscopicitylow-volatility productsnano-DESI HRMSphotolytic agingquartz crystal microbalance (QCM)volatility distribution

Identifiers

PMID41707027
PMCPMC12961944

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.