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Cited by 767

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Tracking complex mixtures of chemicals in our changing environment

Open access
Escher, Beate I., Stapleton, Heather M., Schymanski, Emma L.·2020·Science

Abstract

Chemicals have improved our quality of life, but the resulting environmental pollution has the potential to cause detrimental effects on humans and the environment. People and biota are chronically exposed to thousands of chemicals from various environmental sources through multiple pathways. Environmental chemists and toxicologists have moved beyond detecting and quantifying single chemicals to characterizing complex mixtures of chemicals in indoor and outdoor environments and biological matrices. We highlight analytical and bioanalytical approaches to isolating, characterizing, and tracking groups of chemicals of concern in complex matrices. Techniques that combine chemical analysis and bioassays have the potential to facilitate the identification of mixtures of chemicals that pose a combined risk.

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Registry

Crossref · 10.1126/science.aay6636

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Metadata

Authors
Escher, B. I., Stapleton, H. M., & Schymanski, E. L.
Venue
Science
Published
2020-01-24
Volume
367
Issue
6476
Pages
388-392
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3002350232
Cited by
767
References
35
FWCI
33.53
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tracking complex mixtures of chemicals in our changing environment. https://app.cochat.ai/papers/10.1126/science.aay6636
The paper
Escher, B. I., Stapleton, H. M., & Schymanski, E. L. (2020). Tracking complex mixtures of chemicals in our changing environment. Science. https://doi.org/10.1126/science.aay6636

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.