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Retrieval, Selection, and Evaluation of Chemical Property Data for Assessments of Chemical Emissions, Fate, Hazard, Exposure, and Risks
[Image: see text] Reliable chemical property data are the key to defensible and unbiased assessments of chemical emissions, fate, hazard, exposure, and risks. However, the retrieval, evaluation, and use of reliable chemical property data can often be a formidable challenge for chemical assessors and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125307/ https://www.ncbi.nlm.nih.gov/pubmed/37101455 http://dx.doi.org/10.1021/acsenvironau.2c00010 |
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author | Li, Li Zhang, Zhizhen Men, Yujie Baskaran, Sivani Sangion, Alessandro Wang, Shenghong Arnot, Jon A. Wania, Frank |
author_facet | Li, Li Zhang, Zhizhen Men, Yujie Baskaran, Sivani Sangion, Alessandro Wang, Shenghong Arnot, Jon A. Wania, Frank |
author_sort | Li, Li |
collection | PubMed |
description | [Image: see text] Reliable chemical property data are the key to defensible and unbiased assessments of chemical emissions, fate, hazard, exposure, and risks. However, the retrieval, evaluation, and use of reliable chemical property data can often be a formidable challenge for chemical assessors and model users. This comprehensive review provides practical guidance for use of chemical property data in chemical assessments. We assemble available sources for obtaining experimentally derived and in silico predicted property data; we also elaborate strategies for evaluating and curating the obtained property data. We demonstrate that both experimentally derived and in silico predicted property data can be subject to considerable uncertainty and variability. Chemical assessors are encouraged to use property data derived through the harmonization of multiple carefully selected experimental data if a sufficient number of reliable laboratory measurements is available or through the consensus consolidation of predictions from multiple in silico tools if the data pool from laboratory measurements is not adequate. |
format | Online Article Text |
id | pubmed-10125307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-101253072023-04-25 Retrieval, Selection, and Evaluation of Chemical Property Data for Assessments of Chemical Emissions, Fate, Hazard, Exposure, and Risks Li, Li Zhang, Zhizhen Men, Yujie Baskaran, Sivani Sangion, Alessandro Wang, Shenghong Arnot, Jon A. Wania, Frank ACS Environ Au [Image: see text] Reliable chemical property data are the key to defensible and unbiased assessments of chemical emissions, fate, hazard, exposure, and risks. However, the retrieval, evaluation, and use of reliable chemical property data can often be a formidable challenge for chemical assessors and model users. This comprehensive review provides practical guidance for use of chemical property data in chemical assessments. We assemble available sources for obtaining experimentally derived and in silico predicted property data; we also elaborate strategies for evaluating and curating the obtained property data. We demonstrate that both experimentally derived and in silico predicted property data can be subject to considerable uncertainty and variability. Chemical assessors are encouraged to use property data derived through the harmonization of multiple carefully selected experimental data if a sufficient number of reliable laboratory measurements is available or through the consensus consolidation of predictions from multiple in silico tools if the data pool from laboratory measurements is not adequate. American Chemical Society 2022-07-19 /pmc/articles/PMC10125307/ /pubmed/37101455 http://dx.doi.org/10.1021/acsenvironau.2c00010 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Li, Li Zhang, Zhizhen Men, Yujie Baskaran, Sivani Sangion, Alessandro Wang, Shenghong Arnot, Jon A. Wania, Frank Retrieval, Selection, and Evaluation of Chemical Property Data for Assessments of Chemical Emissions, Fate, Hazard, Exposure, and Risks |
title | Retrieval,
Selection, and Evaluation of Chemical Property
Data for Assessments of Chemical Emissions, Fate, Hazard, Exposure,
and Risks |
title_full | Retrieval,
Selection, and Evaluation of Chemical Property
Data for Assessments of Chemical Emissions, Fate, Hazard, Exposure,
and Risks |
title_fullStr | Retrieval,
Selection, and Evaluation of Chemical Property
Data for Assessments of Chemical Emissions, Fate, Hazard, Exposure,
and Risks |
title_full_unstemmed | Retrieval,
Selection, and Evaluation of Chemical Property
Data for Assessments of Chemical Emissions, Fate, Hazard, Exposure,
and Risks |
title_short | Retrieval,
Selection, and Evaluation of Chemical Property
Data for Assessments of Chemical Emissions, Fate, Hazard, Exposure,
and Risks |
title_sort | retrieval,
selection, and evaluation of chemical property
data for assessments of chemical emissions, fate, hazard, exposure,
and risks |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125307/ https://www.ncbi.nlm.nih.gov/pubmed/37101455 http://dx.doi.org/10.1021/acsenvironau.2c00010 |
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