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四种重金属的急性毒性评估与预测模型

Acute Toxicity Assessment and Prediction Models of Four Heavy Metals.

作者信息

Zheng Xin, Wei Chao, Fan Juntao, Liu Xinyu, Hou Yin, Ling Jianan, Wei Jian, Liu Peiyuan

机构信息

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

School of Life Sciences, Tianjin University, Tianjin 300072, China.

出版信息

Toxics. 2023 Apr 6;11(4):346. doi: 10.3390/toxics11040346.

DOI:10.3390/toxics11040346
PMID:37112573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10143344/
Abstract

Water quality criteria (WQC) are developed to protect aquatic organisms. Toxicity data of local fish are essential to improve the applicability of WQC derivatives. However, the paucity of local cold-water fish toxicity data limits the development of WQC in China. is a representative Chinese-endemic cold-water fish, which plays an important role in the characterization of metal toxicity in the water environment. Whereas, the ecotoxicological effects of copper, zinc, lead and cadmium, as well as its potential as a test species for the metal WQC, remain to be investigated. In our study, acute toxicity tests of copper, zinc, lead and cadmium were performed on this fish according to the OECD method and 96 h-LC values were calculated. The results showed that the 96 h-LC values of Cu, Zn, Pb and Cd for were 134, 222, 514 and 734 μg/L, respectively. Toxicity data for freshwater species and Chinese-native species were collected and screened, and the mean acute values of each metal for each species were ranked. The results showed that the accumulation probability of zinc by was the lowest and less than 15%. Thus, was sensitive to Zn and can be considered as the test cold-water fish for derivation of Zn WQC. In addition, in comparison with warm-water fish, we found that cold-water fish are not always more sensitive to heavy metals than warm-water fish. Finally, the models for toxic effects prediction of different heavy metals on the same species were constructed and evaluated the reliability of the model. We suggest that the alternative toxicity data provided by the simulations can be used to derive WQC for metals.

摘要

水质标准(WQC)的制定是为了保护水生生物。当地鱼类的毒性数据对于提高WQC衍生指标的适用性至关重要。然而,中国当地冷水鱼毒性数据的匮乏限制了WQC的发展。[具体鱼类名称]是一种具有代表性的中国特有冷水鱼,在表征水环境中金属毒性方面发挥着重要作用。然而,铜、锌、铅和镉的生态毒理学效应,以及其作为金属WQC测试物种的潜力仍有待研究。在我们的研究中,根据经合组织方法对这种鱼进行了铜、锌、铅和镉的急性毒性试验,并计算了96小时半数致死浓度(96 h-LC)值。结果表明,[具体鱼类名称]对铜、锌、铅和镉的96 h-LC值分别为134、222、514和734μg/L。收集并筛选了淡水物种和中国本土物种的毒性数据,并对每种金属在每个物种中的平均急性值进行了排序。结果表明,[具体鱼类名称]对锌的积累概率最低,小于15%。因此,[具体鱼类名称]对锌敏感,可被视为推导锌WQC的测试冷水鱼。此外,与温水鱼相比,我们发现冷水鱼并不总是比温水鱼对重金属更敏感。最后,构建了不同重金属对同一物种的毒性效应预测模型,并评估了模型的可靠性。我们建议,模拟提供的替代毒性数据可用于推导金属的WQC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b7/10143344/84251afae30d/toxics-11-00346-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b7/10143344/b099e8f3230e/toxics-11-00346-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b7/10143344/72cf5a911d90/toxics-11-00346-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b7/10143344/84251afae30d/toxics-11-00346-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b7/10143344/b099e8f3230e/toxics-11-00346-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b7/10143344/72cf5a911d90/toxics-11-00346-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b7/10143344/84251afae30d/toxics-11-00346-g003.jpg

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本文引用的文献

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