Bioavailability‐based approaches have been developed for the regulation of metals in freshwaters in several countries. Empirical multiple linear regression (MLR) models have been developed for nickel that can be applied to aquatic organisms. The MLR models have been compared against the use of previously developed biotic ligand models (BLMs) for the normalization of an ecotoxicity dataset compiled for the derivation of a water quality guideline value that could be applied in Australia and New Zealand. The MLR models were developed from data for a number of specific species and were validated independently to confirm their reliability. An MLR modeling approach using different models for algae, plants, invertebrates, and vertebrates performed better than either a pooled MLR model for all taxa or the BLMs, in terms of its ability to correctly predict the results of the tests in the ecotoxicity database based on their water chemistry and a fitted species‐specific sensitivity parameter. The present study demonstrates that MLR approaches can be developed and validated to predict chronic nickel toxicity to freshwater ecosystems from existing datasets. The MLR approaches provide a viable alternative to the use of BLMs for taking account of nickel bioavailability in freshwaters for regulatory purposes. Environ Toxicol Chem 2021;40:113–126. © 2020 SETAC

中文翻译：

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澳大利亚和新西兰水质指南制定的淡水中镍的经验生物利用度校正

一些国家已经开发了基于生物利用度的方法来调节淡水中的金属。已经为镍开发了经验多元线性回归 (MLR) 模型，可应用于水生生物。已将 MLR 模型与使用先前开发的生物配体模型 (BLM) 进行比较，以对生态毒性数据集进行标准化，该数据集是为推导可在澳大利亚和新西兰应用的水质准则值而编制的。MLR 模型是根据许多特定物种的数据开发的，并经过独立验证以确认其可靠性。对藻类、植物、无脊椎动物和脊椎动物使用不同模型的 MLR 建模方法比针对所有分类群或 BLM 的合并 MLR 模型表现更好，就其根据水化学和拟合的物种特异性敏感性参数正确预测生态毒性数据库中测试结果的能力而言。本研究表明，可以开发和验证 MLR 方法，以根据现有数据集预测镍对淡水生态系统的慢性毒性。MLR 方法为使用 BLM 提供了一种可行的替代方案，以出于监管目的考虑淡水中镍的生物利用度。环境毒理学化学2021；40：113-126。© 2020 SETAC