Evidence map›Paper›PMID 35994653›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Toward a molecular understanding of the surface composition of atmospherically relevant organic particles.

Y Qin, L M Wingen, B J Finlayson-Pitts

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Toward a molecular understanding of the surface composition of atmospherically relevant organic particles.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors.

Y QinDepartment of Chemistry, University of California, Irvine, CA, 92697-2025.ORCID 0000-0002-1552-5139
L M WingenDepartment of Chemistry, University of California, Irvine, CA, 92697-2025.ORCID 0000-0001-5847-9913
B J Finlayson-PittsDepartment of Chemistry, University of California, Irvine, CA, 92697-2025.ORCID 0000-0003-4650-168X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many mass spectrometry methods using various ionization sources provide bulk composition of airborne particles, but little is known about the surface species that play a major role in determining their physicochemical properties that impact air quality, climate, and health. The present work shows that the composition of surface layers of atmospherically relevant submicron organic particles can be probed without the use of an external ionization source. Solid dicarboxylic acid particles are used as models, with glutaric acid being the most efficient at generating ions. Coating with small diacids or products from α-pinene ozonolysis demonstrates that ions are ejected from the surface, providing surface molecular characterization of organic particles on the fly. This unique approach provides a path forward for elucidating the role of the surface in determining chemical and physical properties of particles, including heterogeneous reactions, particle growth, water uptake, and interactions with biological systems.

Indexed as

Air PollutionAtmosphereMass SpectrometryOrganic ChemicalsSurface PropertiesAerosolsBicyclic MonoterpenesClimateEnvironmental ExposureGlutaratesHumansIonsOzoneParticle SizeWaterAerosolsalpha-pineneBicyclic MonoterpenesGlutaratesglutaric acidIonsOrganic ChemicalsOzoneWaterairborne organic particlesinlet/vacuum ionizationsurface sensitive mass spectrometry

Identifiers

PMID35994653
PMCPMC9436373

What OpenQuestion holds

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Registered trials

None linked

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.