Improving predictions of compound amenability for liquid chromatography–mass spectrometry to enhance non-targeted analysis
Author:
Funder
United States Environmental Protection Agency Office of Research and Development
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00216-024-05229-5.pdf
Reference46 articles.
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2. Csiszar SA, Meyer DE, Dionisio KL, Egeghy P, Isaacs KK, Price PS, et al. Conceptual framework to extend life cycle assessment using near-field human exposure modeling and high-throughput tools for chemicals. Environ Sci Technol. 2016;50(21):11922–34.
3. Li L, Westgate JN, Hughes L, Zhang X, Givehchi B, Toose L, et al. A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources. Environ Sci Technol. 2018;52(24):14235–44.
4. Isaacs KK, Glen WG, Egeghy P, Goldsmith M-R, Smith L, Vallero D, et al. SHEDS-HT: an integrated probabilistic exposure model for prioritizing exposures to chemicals with near-field and dietary sources. Environ Sci Technol. 2014;48(21):12750–9.
5. Lowe CN, Isaacs KK, McEachran A, Grulke CM, Sobus JR, Ulrich EM, et al. Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis. Analytical and Bioanalytical Chemistry. 2021;413(30):7495–508.
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