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首页> 外文期刊>Ecotoxicology >A biotic ligand model-based toxicodynamic approach to predict arsenic toxicity to tilapia gills in cultural ponds.
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A biotic ligand model-based toxicodynamic approach to predict arsenic toxicity to tilapia gills in cultural ponds.

机译:一种基于生物配体模型的毒物动力学方法,用于预测砷对养殖池中罗非鱼g的毒性。

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摘要

Farming of tilapia Oreochromis mossambicus is an important aquacultural activity in Taiwan. Due to the elevated arsenic (As) concentration in pond water, it is important to assess the bioavailability and toxicity of As to tilapia for protection of aquatic life and human health. In the present study, we developed a biotic ligand model (BLM)-based toxicodynamic approach to dynamically predict both acute and chronic effective concentrations of As to tilapia in two tilapia farms located at Pudai and Chiangchun counties in southwestern Taiwan. Parameters revealed in the mechanistic model were obtained by fitting this model to the toxicokinetic and toxicodynamic data from our previous laboratory experiments. Based on our extended BLM concepts, the site-specific water effect ratios and ambient water quality criteria can be determined with known water chemistry. The proposed methodology was capable of bridging the gap between laboratory toxicity bioassays and field investigations. With respect to risk assessments, our research may also provide an useful means of generating and adjusting the site-specific ambient water quality criteria.
机译:罗非鱼莫桑比克罗非鱼的养殖是台湾重要的水产养殖活动。由于池塘水中砷(As)的浓度升高,因此评估As对罗非鱼的生物利用度和毒性对于保护水生生物和人类健康至关重要。在本研究中,我们开发了一种基于生物配体模型(BLM)的毒物动力学方法,可动态预测位于台湾西南部布带和清春两个罗非鱼养殖场中罗非鱼的急性和慢性有效浓度的As。机械模型中揭示的参数是通过使该模型与我们先前实验室实验的毒物动力学和毒物动力学数据拟合而获得的。基于我们扩展的BLM概念,可以使用已知的水化学方法确定特定地点的水影响比和环境水质标准。拟议的方法能够弥合实验室毒性生物测定法和现场调查之间的差距。关于风险评估,我们的研究还可能提供一种有用的手段来生成和调整特定地点的环境水质标准。

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