Center for the Study of Metals in the Environment, Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, United States.
Center for the Study of Metals in the Environment, Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, United States.
Ecotoxicol Environ Saf. 2018 Feb;148:336-345. doi: 10.1016/j.ecoenv.2017.10.031. Epub 2017 Nov 6.
Constants for a Terrestrial Biotic Ligand Model (TBLM) to predict the Cu toxicity to barley root elongation (RE) were developed from controlled sand culture experiments. These constants were used to predict RE in soil culture. The competition of H, Ca, and Mg to Cu toxicity were studied individually and independently, and linear relationships between EC50 free Cu and H, Ca, and Mg activities were found, meaning that the cations H, Ca, and Mg will alleviate the toxicity of Cu in solutions. Toxicity accompanying increasing concentration of solution ions other than Cu was observed and modeled as an osmotic effect which improved soil culture toxicity prediction. The Root Mean Square Error (RMSE) of %RE and EC50 (50% effective concentration) for soil toxicity prediction using TBLM parameters developed from sand culture are 13.0 and 0.23 respectively, which are as good as that of 14.0 and 0.24 using parameters that developed from soil culture itself. A model including the activity at the root plasma membrane surface was tested and found not to provide improvement over the use of bulk solution activity to predict metal toxicity. TBLM parameters obtained from water solution culture were unable to accurately predict the EC50s in soils whereas the parameters obtained from sand culture were able to predict the toxicity in soils. Including the toxicity of CuOH was found to improve the toxicity prediction slightly.
常量的陆生生物配体模型(TBLM)来预测铜对大麦根伸长毒性(RE)是从受控砂培养实验中发展起来的。这些常数被用来预测土壤培养中的 RE。分别单独和独立地研究了 H、Ca 和 Mg 对 Cu 毒性的竞争,发现 EC50 游离 Cu 与 H、Ca 和 Mg 活性之间存在线性关系,这意味着 H、Ca 和 Mg 阳离子将减轻溶液中 Cu 的毒性。观察到并模拟了伴随溶液中除 Cu 以外的离子浓度增加的毒性,将其作为一种渗透效应,提高了土壤培养毒性预测的准确性。使用从砂培养中开发的 TBLM 参数对土壤毒性进行预测的%RE 和 EC50(50%有效浓度)的根均方误差(RMSE)分别为 13.0 和 0.23,与使用从土壤培养本身开发的参数的 RMSE 分别为 14.0 和 0.24 一样好。测试了一个包括根质膜表面活性的模型,发现它不能通过使用整体溶液活性来预测金属毒性,从而提供改进。从水溶液培养中获得的 TBLM 参数无法准确预测土壤中的 EC50,而从砂培养中获得的参数则能够预测土壤中的毒性。发现包括 CuOH 的毒性略微提高了毒性预测的准确性。