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Identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties
Because the respiration processes contributing to the elimination of organic chemicals deviate between air‐ and water‐breathing organisms, existing and widely used procedures for identifying chemicals not subject to bioaccumulation in aquatic organisms based on the octanol–water partition ratio K (O...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541168/ https://www.ncbi.nlm.nih.gov/pubmed/34783167 http://dx.doi.org/10.1002/ieam.4555 |
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author | Wania, Frank Lei, Ying Duan Baskaran, Sivani Sangion, Alessandro |
author_facet | Wania, Frank Lei, Ying Duan Baskaran, Sivani Sangion, Alessandro |
author_sort | Wania, Frank |
collection | PubMed |
description | Because the respiration processes contributing to the elimination of organic chemicals deviate between air‐ and water‐breathing organisms, existing and widely used procedures for identifying chemicals not subject to bioaccumulation in aquatic organisms based on the octanol–water partition ratio K (OW) need to be complemented with similar procedures for organisms respiring air. Here, we propose such a procedure that relies on the comparison of a compound's predicted K (OW), octanol–air partition ratio K (OA), and biotransformation half‐life HL ( B ) with three threshold values, below which elimination is judged to be sufficiently rapid to prevent bioaccumulation. The method allows for the consideration of the effect of dissociation on the efficiency of urinary and respiratory elimination. Explicit application of different types of the prediction error, such as the 95% prediction interval or the standard error, allows for variable tolerance for false‐negative decisions, that is, the potential to judge a chemical as not bioaccumulative even though it is. A test with a set of more than 1000 diverse organic chemicals confirms the applicability of the prediction methods for a wide range of compounds and the procedure's ability to categorize approximately four‐fifth of compounds as being of no bioaccumulation concern, suggesting its usefulness to screen large numbers of commercial chemicals to identify those worthy of further scrutiny. The test also demonstrates that a screening based solely on K (OW) and K (OA) would be far less effective because the fraction of chemicals that can be judged as sufficiently volatile and/or sufficiently water soluble for rapid respiratory and urinary elimination based on the partitioning properties predicted for their neutral form is relatively small. Future improvements of the proposed procedure depend largely on the development of prediction methods for the biotransformation kinetics in air‐breathing organisms and for the potential for renal reabsorption. Integr Environ Assess Manag 2022;18:1297–1312. © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC). |
format | Online Article Text |
id | pubmed-9541168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95411682022-10-14 Identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties Wania, Frank Lei, Ying Duan Baskaran, Sivani Sangion, Alessandro Integr Environ Assess Manag Environmental Policy & Regulation Because the respiration processes contributing to the elimination of organic chemicals deviate between air‐ and water‐breathing organisms, existing and widely used procedures for identifying chemicals not subject to bioaccumulation in aquatic organisms based on the octanol–water partition ratio K (OW) need to be complemented with similar procedures for organisms respiring air. Here, we propose such a procedure that relies on the comparison of a compound's predicted K (OW), octanol–air partition ratio K (OA), and biotransformation half‐life HL ( B ) with three threshold values, below which elimination is judged to be sufficiently rapid to prevent bioaccumulation. The method allows for the consideration of the effect of dissociation on the efficiency of urinary and respiratory elimination. Explicit application of different types of the prediction error, such as the 95% prediction interval or the standard error, allows for variable tolerance for false‐negative decisions, that is, the potential to judge a chemical as not bioaccumulative even though it is. A test with a set of more than 1000 diverse organic chemicals confirms the applicability of the prediction methods for a wide range of compounds and the procedure's ability to categorize approximately four‐fifth of compounds as being of no bioaccumulation concern, suggesting its usefulness to screen large numbers of commercial chemicals to identify those worthy of further scrutiny. The test also demonstrates that a screening based solely on K (OW) and K (OA) would be far less effective because the fraction of chemicals that can be judged as sufficiently volatile and/or sufficiently water soluble for rapid respiratory and urinary elimination based on the partitioning properties predicted for their neutral form is relatively small. Future improvements of the proposed procedure depend largely on the development of prediction methods for the biotransformation kinetics in air‐breathing organisms and for the potential for renal reabsorption. Integr Environ Assess Manag 2022;18:1297–1312. © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC). John Wiley and Sons Inc. 2021-12-16 2022-09 /pmc/articles/PMC9541168/ /pubmed/34783167 http://dx.doi.org/10.1002/ieam.4555 Text en © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC) https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Environmental Policy & Regulation Wania, Frank Lei, Ying Duan Baskaran, Sivani Sangion, Alessandro Identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties |
title | Identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties |
title_full | Identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties |
title_fullStr | Identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties |
title_full_unstemmed | Identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties |
title_short | Identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties |
title_sort | identifying organic chemicals not subject to bioaccumulation in air‐breathing organisms using predicted partitioning and biotransformation properties |
topic | Environmental Policy & Regulation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541168/ https://www.ncbi.nlm.nih.gov/pubmed/34783167 http://dx.doi.org/10.1002/ieam.4555 |
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