The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Molecular chemistry of organic aerosols through the application of high resolution mass spectrometry
Abstract
Understanding the molecular composition and fundamental chemical transformations of organic aerosols (OA) during their formation and aging is both a major challenge and the area of great uncertainty in atmospheric research. Particularly, little is known about fundamental relationship between the chemical composition and physicochemical properties of OA, their atmospheric history, evolution, and the impact on the environment. Ambient soft-ionization methods combined with high-resolution mass spectrometry (HR-MS) analysis provide detailed information on the molecular content of OA that is pivotal for improving the understanding of their complex composition, multi-phase aging chemistry, direct (light absorption and scattering) and indirect (aerosol-cloud interactions) effects on atmospheric radiation and climate, health effects. The HR-MS methods can detect thousands of individual OA constituents at once, provide their elemental formulae from accurate mass measurements and structural information based on tandem mass spectrometry. Integration with additional analytical tools, such as chromatography and UV/Vis absorption spectroscopy, makes it possible to further separate OA compounds by their polarity and ability to absorb solar radiation. The goal of this perspective is to describe contemporary HR-MS methods, review recent applications in field and laboratory studies of OA, and explain how the information obtained from HR-MS methods can be translated into an improved understanding of OA chemistry.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evolution of Organic Aerosols in the Atmosphere
Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang, Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., et al. (2009) · Science · doi:10.1126/science.1180353 · Cited by 4,167
Black carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols
Andreae, M. O., & Gelencsér, A. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3131-2006 · Cited by 2,006
Matrix-assisted laser desorption/ionization mass spectrometry of biopolymers.
Hillenkamp, F., Karas, M., Beavis, R. C., & Chait, B. T. (1991) · Analytical Chemistry · doi:10.1021/ac00024a716 · Cited by 1,930
Kind, T., & Fiehn, O. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-105 · Cited by 1,201
Cited by
The Molecular Identification of Organic Compounds in the Atmosphere: State of the Art and Challenges
Nozière, B., Kalberer, M., Claeys, M., Allan, J., D’Anna, B., Decesari, S., Finessi, E., Glasius, M., Grgić, I., Hamilton, J. F., et al. (2015) · Chemical Reviews · doi:10.1021/cr5003485 · Cited by 656
Li, Y., Pöschl, U., & Shiraiwa, M. (2016) · Atmospheric Chemistry and Physics · doi:10.5194/acp-16-3327-2016 · Cited by 384
Lee, H. J. (., Aiona, P. K., Laskin, A., Laskin, J., & Nizkorodov, S. A. (2014) · Environmental Science & Technology · doi:10.1021/es502515r · Cited by 359
Self-citation
Metadata
- Authors
- Nizkorodov, S. A., Laskin, J., & Laskin, A.
- Venue
- Physical Chemistry Chemical Physics
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 13
- Issue
- 9
- Pages
- 3612
- ISSN
- 1463-9076 (ISSN-L)
- 1463-9084
- OpenAlex
- W2038105630
- Cited by
- 178
- References
- 4
- FWCI
- 8.00
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Molecular chemistry of organic aerosols through the application of high resolution mass spectrometry. https://app.cochat.ai/papers/10.1039/c0cp02032j
- The paper
- Nizkorodov, S. A., Laskin, J., & Laskin, A. (2011). Molecular chemistry of organic aerosols through the application of high resolution mass spectrometry. Physical Chemistry Chemical Physics. https://doi.org/10.1039/c0cp02032j
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.