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使用生物配体模型预测河口和海水中的铜毒性。

Predicting copper toxicity in estuarine and marine waters using the Biotic Ligand Model.

作者信息

Arnold W R, Santore R C, Cotsifas J S

机构信息

Copper Development Association Inc., New York, NY 10016, USA.

出版信息

Mar Pollut Bull. 2005 Dec;50(12):1634-40. doi: 10.1016/j.marpolbul.2005.06.035. Epub 2005 Jul 22.

Abstract

The Biotic Ligand Model (BLM) has proven efficient in predicting the toxicity of a variety of metals to freshwater organisms. Consequently, the US EPA has proposed its use for calculating freshwater copper criteria. This study evaluates the BLM for use in estuarine and marine waters. Studies were conducted using the bivalve, Mytilus sp. and 48-h embryo-larval development chronic estimator test methods. These are the most sensitive taxa and test in the US EPA saltwater copper criteria database. Samples from five locations around the USA were tested. There is a strong relationship between measured and BLM predicted copper EC50s (log transformed data, r(2)=0.76, p<0.001, n=44). The BLM predicted within a factor +/-2 of measured EC50s in 41 of 44 cases. However, the BLM tends to predict lower EC50s when measured EC50s are approximately < or =10 microg Cu/L. This may be due to limitations of the metal-dissolved organic matter interaction model.

摘要

生物配体模型(BLM)已被证明在预测多种金属对淡水生物的毒性方面是有效的。因此,美国环境保护局(US EPA)已提议将其用于计算淡水铜水质基准。本研究评估了BLM在河口和海水中的应用。研究采用双壳贝类紫贻贝(Mytilus sp.)和48小时胚胎-幼虫发育慢性毒性试验方法进行。这些是美国环境保护局咸水铜水质基准数据库中最敏感的分类群和试验。对来自美国各地五个地点的样本进行了测试。实测铜的半数效应浓度(EC50)与BLM预测值之间存在很强的相关性(对数转换数据,r(2)=0.76,p<0.001,n=44)。在44个案例中的41个案例中,BLM预测值在实测EC50的±2倍范围内。然而,当实测EC50约<或 =10微克铜/升时,BLM往往会预测出较低的EC50。这可能是由于金属-溶解有机物相互作用模型的局限性。

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