Evidence map›Paper›PMID 40242282›Full record

ArticleACS ES&T air2025

Photolytic Mass Loss of Secondary Organic Aerosol Derived from Photooxidation of Biomass Burning Furan Precursors.

Nara Shin, Bin Bai, Taekyu Joo, Yuchen Wang, Nga L Ng, Pengfei Liu

Abstract read
In one paragraph

Article in ACS ES&T air, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Nara ShinSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0003-0322-3309
Bin BaiSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Taekyu JooSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0002-8252-4232
Yuchen WangSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Nga L NgSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0001-8460-4765
Pengfei LiuSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0001-7280-9720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct photolysis as a potentially important chemical loss pathway for atmospheric organic aerosol (OA) is increasingly recognized but remains highly uncertain, particularly for secondary organic aerosol (SOA) derived from biomass burning (BB) precursors. We present the measurements of the photolytic mass change of SOA derived from photooxidation of three furan precursors, 3-methylfuran, 2-methylfuran, and furfural, in an environmental chamber under both dry and humid conditions. Each type of SOA was collected on crystal sensors, and the mass losses by photolysis under 300 or 340 nm light were continuously monitored using a quartz crystal microbalance (QCM). By incorporation of measurements and modeling, 10-40% of furan SOA masses can be lost by direct photolysis under solar radiation over their typical atmospheric lifetime. The mass loss fraction is well correlated with the mass fraction of nitrogen-containing compounds (NOC) in the SOA, possibly because these species can largely enhance the light absorption cross section and readily undergo photodissociation under UV light.

Identifiers

PMID40242282
PMCPMC11997955

What OpenQuestion holds

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Registered trials

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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.