Evidence map›Paper›PMID 40938192›Full record

ArticleEnvironmental science & technology2025

Impact of Chemical Composition on Aerosol Scattering: Insights from the Surface Particulate Matter Network and Aerosol Robotic Network.

Sujin Eom, Sang Seo Park, Xuan Liu, Christopher R Oxford, Randall V Martin, Jhoon Kim, Chang-Keun Song

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. 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

7 authors.

Sujin EomDepartment of Civil, Urban, Earth and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.ORCID 0000-0001-7785-3122
Sang Seo ParkDepartment of Civil, Urban, Earth and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.ORCID 0000-0003-1751-2857
Xuan LiuDepartment of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0001-8619-638X
Christopher R OxfordDepartment of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0003-4799-9141
Randall V MartinDepartment of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Jhoon KimDepartment of Atmospheric Sciences, Yonsei University, Seoul 03722, Republic of Korea.
Chang-Keun SongDepartment of Civil, Urban, Earth and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the Surface Particulate Matter Network (SPARTAN) and Aerosol Robotic Network (AERONET), we investigated the relationship between aerosol chemical composition and optical properties across 14 global sites. The mass concentrations of ammonium sulfate (AS), ammonium nitrate (AN), fine soil (FS), and black carbon (BC) from SPARTAN were collocated with aerosol optical properties (aerosol optical depth (AOD), fine mode fraction (FMF), and single scattering albedo (SSA)) from AERONET. Significant differences in the optical properties of samples from 2016 to 2023 were identified based on the mass and mass ratios of the chemical components. For the BC-FS relationship in the data set used in this study, increased FS mass lowered FMF and dSSA

Indexed as

Particulate MatterAerosolsAir PollutantsEnvironmental MonitoringAerosolsAir PollutantsParticulate MatterAERONETaerosolchemical speciessingle scattering albedoSPARTAN

Identifiers

PMID40938192
PMCPMC12461914

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.