Antibiotic Toxicity Isolated and as Binary Mixture to Freshwater Algae Raphidocelis subcapitata: Growth Inhibition, Prediction Model, and Environmental Risk Assessment
Antibiotics in aqueous environments can have extremely adverse effects on non-targeted organisms. However, many research projects have only focused on the toxicological evaluation of individual antibiotics in various environments. In the present work, individual and binary mixture toxicity experimen...
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Published in | Toxics (Basel) Vol. 10; no. 12; p. 739 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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29.11.2022
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Abstract | Antibiotics in aqueous environments can have extremely adverse effects on non-targeted organisms. However, many research projects have only focused on the toxicological evaluation of individual antibiotics in various environments. In the present work, individual and binary mixture toxicity experiments have been conducted with the model organism Raphidocelis subcapitata (R. subcapitata), and a mixture concentration-response curve was established and contrasted with the estimated effects on the basis of both the concentration addition (CA) and the independent action (IA) models. In addition, different risk assessment methods were used and compared to evaluate the environmental risk of binary mixtures. The toxic ranking of the selected antibiotics to R. subcapitata was erythromycin (ERY) > sulfamethoxazole (SMX) > sulfamethazine (SMZ). In general, the conclusion of this study is that the adverse effects of binary mixtures are higher than the individual antibiotics. The CA model and RQSTU are more suitable for toxicity prediction and risk assessment of binary mixtures. This study reveals the potential ecological risks that antibiotics and their mixtures may pose to water ecosystems, thus providing scientific information for environmental quality regulation. |
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AbstractList | Antibiotics in aqueous environments can have extremely adverse effects on non-targeted organisms. However, many research projects have only focused on the toxicological evaluation of individual antibiotics in various environments. In the present work, individual and binary mixture toxicity experiments have been conducted with the model organism Raphidocelis subcapitata (R. subcapitata), and a mixture concentration-response curve was established and contrasted with the estimated effects on the basis of both the concentration addition (CA) and the independent action (IA) models. In addition, different risk assessment methods were used and compared to evaluate the environmental risk of binary mixtures. The toxic ranking of the selected antibiotics to R. subcapitata was erythromycin (ERY) > sulfamethoxazole (SMX) > sulfamethazine (SMZ). In general, the conclusion of this study is that the adverse effects of binary mixtures are higher than the individual antibiotics. The CA model and RQSTU are more suitable for toxicity prediction and risk assessment of binary mixtures. This study reveals the potential ecological risks that antibiotics and their mixtures may pose to water ecosystems, thus providing scientific information for environmental quality regulation.Antibiotics in aqueous environments can have extremely adverse effects on non-targeted organisms. However, many research projects have only focused on the toxicological evaluation of individual antibiotics in various environments. In the present work, individual and binary mixture toxicity experiments have been conducted with the model organism Raphidocelis subcapitata (R. subcapitata), and a mixture concentration-response curve was established and contrasted with the estimated effects on the basis of both the concentration addition (CA) and the independent action (IA) models. In addition, different risk assessment methods were used and compared to evaluate the environmental risk of binary mixtures. The toxic ranking of the selected antibiotics to R. subcapitata was erythromycin (ERY) > sulfamethoxazole (SMX) > sulfamethazine (SMZ). In general, the conclusion of this study is that the adverse effects of binary mixtures are higher than the individual antibiotics. The CA model and RQSTU are more suitable for toxicity prediction and risk assessment of binary mixtures. This study reveals the potential ecological risks that antibiotics and their mixtures may pose to water ecosystems, thus providing scientific information for environmental quality regulation. Antibiotics in aqueous environments can have extremely adverse effects on non-targeted organisms. However, many research projects have only focused on the toxicological evaluation of individual antibiotics in various environments. In the present work, individual and binary mixture toxicity experiments have been conducted with the model organism Raphidocelis subcapitata (R. subcapitata), and a mixture concentration-response curve was established and contrasted with the estimated effects on the basis of both the concentration addition (CA) and the independent action (IA) models. In addition, different risk assessment methods were used and compared to evaluate the environmental risk of binary mixtures. The toxic ranking of the selected antibiotics to R. subcapitata was erythromycin (ERY) > sulfamethoxazole (SMX) > sulfamethazine (SMZ). In general, the conclusion of this study is that the adverse effects of binary mixtures are higher than the individual antibiotics. The CA model and RQSTU are more suitable for toxicity prediction and risk assessment of binary mixtures. This study reveals the potential ecological risks that antibiotics and their mixtures may pose to water ecosystems, thus providing scientific information for environmental quality regulation. Antibiotics in aqueous environments can have extremely adverse effects on non-targeted organisms. However, many research projects have only focused on the toxicological evaluation of individual antibiotics in various environments. In the present work, individual and binary mixture toxicity experiments have been conducted with the model organism Raphidocelis subcapitata ( R. subcapitata ), and a mixture concentration-response curve was established and contrasted with the estimated effects on the basis of both the concentration addition (CA) and the independent action (IA) models. In addition, different risk assessment methods were used and compared to evaluate the environmental risk of binary mixtures. The toxic ranking of the selected antibiotics to R. subcapitata was erythromycin (ERY) > sulfamethoxazole (SMX) > sulfamethazine (SMZ). In general, the conclusion of this study is that the adverse effects of binary mixtures are higher than the individual antibiotics. The CA model and RQ STU are more suitable for toxicity prediction and risk assessment of binary mixtures. This study reveals the potential ecological risks that antibiotics and their mixtures may pose to water ecosystems, thus providing scientific information for environmental quality regulation. |
Author | Hu, Xiaoyue Wang, Jiangnan Chang, Fang Li, Huiting Qi, Qianju Zhao, Xuefeng Yi, Malan |
AuthorAffiliation | 3 School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China 1 Marine Resources Research Centre, Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin 300456, China 2 Hanjiang Bureau of Hydrology and Water Resources, Bureau of Hydrology, Changjiang Water Resources Commission, Xiangyang 441000, China |
AuthorAffiliation_xml | – name: 3 School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China – name: 1 Marine Resources Research Centre, Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin 300456, China – name: 2 Hanjiang Bureau of Hydrology and Water Resources, Bureau of Hydrology, Changjiang Water Resources Commission, Xiangyang 441000, China |
Author_xml | – sequence: 1 givenname: Fang surname: Chang fullname: Chang, Fang – sequence: 2 givenname: Malan surname: Yi fullname: Yi, Malan – sequence: 3 givenname: Huiting orcidid: 0000-0002-1945-6003 surname: Li fullname: Li, Huiting – sequence: 4 givenname: Jiangnan surname: Wang fullname: Wang, Jiangnan – sequence: 5 givenname: Xuefeng surname: Zhao fullname: Zhao, Xuefeng – sequence: 6 givenname: Xiaoyue surname: Hu fullname: Hu, Xiaoyue – sequence: 7 givenname: Qianju surname: Qi fullname: Qi, Qianju |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36548572$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_scitotenv_2024_172455 crossref_primary_10_1016_j_ecoenv_2025_117889 crossref_primary_10_1016_j_jhazmat_2023_133247 crossref_primary_10_1016_j_chemosphere_2023_140885 crossref_primary_10_1007_s00253_024_13038_0 crossref_primary_10_1016_j_ecoenv_2024_117650 crossref_primary_10_3390_cryst13040644 crossref_primary_10_1016_j_ecoenv_2023_115806 |
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SubjectTerms | Algae Antibiotics Aqueous environments Binary mixtures CA and IA models Environmental assessment Environmental quality Environmental risk environmental risk assessment Erythromycin Evaluation Experiments mixture toxicity Organisms Pollutants Prediction models Raphidocelis subcapitata Research projects Risk assessment Side effects Sulfamethazine Sulfamethoxazole Toxicity Toxicology |
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Title | Antibiotic Toxicity Isolated and as Binary Mixture to Freshwater Algae Raphidocelis subcapitata: Growth Inhibition, Prediction Model, and Environmental Risk Assessment |
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