WCA, Faringdon, Oxon, United Kingdom.
Commonwealth Scientific and Industrial Research Organisation, Lucas Heights, New South Wales, Australia.
Environ Toxicol Chem. 2021 Jan;40(1):113-126. doi: 10.1002/etc.4900. Epub 2020 Nov 17.
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.
基于生物利用度的方法已在多个国家被开发用于调控淡水中的金属。已经开发出了可应用于水生生物的镍的经验多元线性回归（MLR）模型。这些 MLR 模型已与先前开发的生物配体模型（BLMs）进行了比较，以对为推导可应用于澳大利亚和新西兰的水质指导值而汇编的毒理学数据集进行归一化。MLR 模型是根据多种特定物种的数据开发的，并通过独立验证来确认其可靠性。与对所有分类群使用的汇总 MLR 模型或 BLMs 相比，一种使用藻类、植物、无脊椎动物和脊椎动物的不同模型的 MLR 建模方法，在根据其水化学和拟合的特定物种敏感性参数正确预测毒理学数据库中测试结果的能力方面表现更好。本研究表明，可以从现有数据集中开发和验证 MLR 方法，以预测淡水生态系统中慢性镍毒性。对于监管目的，MLR 方法为考虑淡水中镍的生物利用度提供了一种可行的替代 BLMs 的方法。Environ Toxicol Chem 2021;40:113-126. © 2020 SETAC.
