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Cited by 203

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Analysis of Atmospheric Aerosols

Prather, Kimberly A., Hatch, Courtney D., Grassian, Vicki H.·2008·Annual Review of Analytical Chemistry

Abstract

Aerosols represent an important component of the Earth's atmosphere. Because aerosols are composed of solid and liquid particles of varying chemical complexity, size, and phase, large challenges exist in understanding how they impact climate, health, and the chemistry of the atmosphere. Only through the integration of field, laboratory, and modeling analysis can we begin to unravel the roles atmospheric aerosols play in these global processes. In this article, we provide a brief review of the current state of the science in the analysis of atmospheric aerosols and some important challenges that need to be overcome before they can become fully integrated. It is clear that only when these areas are effectively bridged can we fully understand the impact that atmospheric aerosols have on our environment and the Earth's system at the level of scientific certainty necessary to design and implement sound environmental policies.

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Crossref · 10.1146/annurev.anchem.1.031207.113030

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Metadata

Authors
Prather, K. A., Hatch, C. D., & Grassian, V. H.
Venue
Annual Review of Analytical Chemistry
Published
2008-07-01
Volume
1
Issue
1
Pages
485-514
ISSN
  • 1936-1327 (ISSN-L)
  • 1936-1335
OpenAlex
W2167912038
Cited by
203
References
1
FWCI
0.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Analysis of Atmospheric Aerosols. https://app.cochat.ai/papers/10.1146/annurev.anchem.1.031207.113030
The paper
Prather, K. A., Hatch, C. D., & Grassian, V. H. (2008). Analysis of Atmospheric Aerosols. Annual Review of Analytical Chemistry. https://doi.org/10.1146/annurev.anchem.1.031207.113030

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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.