Cargando…
Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk‐Based Screening Techniques
In a study of 44 diverse sampling sites across 16 Great Lakes tributaries, 110 pharmaceuticals were detected of 257 monitored. The present study evaluated the ecological relevance of detected chemicals and identified heavily impacted areas to help inform resource managers and guide future investigat...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542422/ https://www.ncbi.nlm.nih.gov/pubmed/35852176 http://dx.doi.org/10.1002/etc.5403 |
_version_ | 1784804144810295296 |
---|---|
author | Pronschinske, Matthew A. Corsi, Steven R. DeCicco, Laura A. Furlong, Edward T. Ankley, Gerald T. Blackwell, Brett R. Villeneuve, Daniel L. Lenaker, Peter L. Nott, Michelle A. |
author_facet | Pronschinske, Matthew A. Corsi, Steven R. DeCicco, Laura A. Furlong, Edward T. Ankley, Gerald T. Blackwell, Brett R. Villeneuve, Daniel L. Lenaker, Peter L. Nott, Michelle A. |
author_sort | Pronschinske, Matthew A. |
collection | PubMed |
description | In a study of 44 diverse sampling sites across 16 Great Lakes tributaries, 110 pharmaceuticals were detected of 257 monitored. The present study evaluated the ecological relevance of detected chemicals and identified heavily impacted areas to help inform resource managers and guide future investigations. Ten pharmaceuticals (caffeine, nicotine, albuterol, sulfamethoxazole, venlafaxine, acetaminophen, carbamazepine, gemfibrozil, metoprolol, and thiabendazole) were distinguished as having the greatest potential for biological effects based on comparison to screening‐level benchmarks derived using information from two biological effects databases, the ECOTOX Knowledgebase and the ToxCast database. Available evidence did not suggest substantial concern for 75% of the monitored pharmaceuticals, including 147 undetected pharmaceuticals and 49 pharmaceuticals with screening‐level alternative benchmarks. However, because of a lack of biological effects information, screening values were not available for 51 detected pharmaceuticals. Samples containing the greatest pharmaceutical concentrations and having the highest detection frequencies were from Lake Erie, southern Lake Michigan, and Lake Huron tributaries. Samples collected during low‐flow periods had higher pharmaceutical concentrations than those collected during increased‐flow periods. The wastewater‐treatment plant effluent content in streams correlated positively with pharmaceutical concentrations. However, deviation from this correlation demonstrated that secondary factors, such as multiple pharmaceutical sources, were likely present at some sites. Further research could investigate high‐priority pharmaceuticals as well as those for which alternative benchmarks could not be developed. Environ Toxicol Chem 2022;41:2221–2239. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. |
format | Online Article Text |
id | pubmed-9542422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95424222022-10-14 Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk‐Based Screening Techniques Pronschinske, Matthew A. Corsi, Steven R. DeCicco, Laura A. Furlong, Edward T. Ankley, Gerald T. Blackwell, Brett R. Villeneuve, Daniel L. Lenaker, Peter L. Nott, Michelle A. Environ Toxicol Chem Hazard/Risk Assessment In a study of 44 diverse sampling sites across 16 Great Lakes tributaries, 110 pharmaceuticals were detected of 257 monitored. The present study evaluated the ecological relevance of detected chemicals and identified heavily impacted areas to help inform resource managers and guide future investigations. Ten pharmaceuticals (caffeine, nicotine, albuterol, sulfamethoxazole, venlafaxine, acetaminophen, carbamazepine, gemfibrozil, metoprolol, and thiabendazole) were distinguished as having the greatest potential for biological effects based on comparison to screening‐level benchmarks derived using information from two biological effects databases, the ECOTOX Knowledgebase and the ToxCast database. Available evidence did not suggest substantial concern for 75% of the monitored pharmaceuticals, including 147 undetected pharmaceuticals and 49 pharmaceuticals with screening‐level alternative benchmarks. However, because of a lack of biological effects information, screening values were not available for 51 detected pharmaceuticals. Samples containing the greatest pharmaceutical concentrations and having the highest detection frequencies were from Lake Erie, southern Lake Michigan, and Lake Huron tributaries. Samples collected during low‐flow periods had higher pharmaceutical concentrations than those collected during increased‐flow periods. The wastewater‐treatment plant effluent content in streams correlated positively with pharmaceutical concentrations. However, deviation from this correlation demonstrated that secondary factors, such as multiple pharmaceutical sources, were likely present at some sites. Further research could investigate high‐priority pharmaceuticals as well as those for which alternative benchmarks could not be developed. Environ Toxicol Chem 2022;41:2221–2239. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. John Wiley and Sons Inc. 2022-07-21 2022-09 /pmc/articles/PMC9542422/ /pubmed/35852176 http://dx.doi.org/10.1002/etc.5403 Text en Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Hazard/Risk Assessment Pronschinske, Matthew A. Corsi, Steven R. DeCicco, Laura A. Furlong, Edward T. Ankley, Gerald T. Blackwell, Brett R. Villeneuve, Daniel L. Lenaker, Peter L. Nott, Michelle A. Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk‐Based Screening Techniques |
title | Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk‐Based Screening Techniques |
title_full | Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk‐Based Screening Techniques |
title_fullStr | Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk‐Based Screening Techniques |
title_full_unstemmed | Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk‐Based Screening Techniques |
title_short | Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk‐Based Screening Techniques |
title_sort | prioritizing pharmaceutical contaminants in great lakes tributaries using risk‐based screening techniques |
topic | Hazard/Risk Assessment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542422/ https://www.ncbi.nlm.nih.gov/pubmed/35852176 http://dx.doi.org/10.1002/etc.5403 |
work_keys_str_mv | AT pronschinskematthewa prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques AT corsistevenr prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques AT deciccolauraa prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques AT furlongedwardt prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques AT ankleygeraldt prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques AT blackwellbrettr prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques AT villeneuvedaniell prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques AT lenakerpeterl prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques AT nottmichellea prioritizingpharmaceuticalcontaminantsingreatlakestributariesusingriskbasedscreeningtechniques |