Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland.
Environ Sci Technol. 2020 Mar 17;54(6):3148-3158. doi: 10.1021/acs.est.9b05104. Epub 2020 Mar 4.
Compartment-specific degradation half-lives are essential pieces of information in the regulatory risk assessment of synthetic chemicals. However, their measurement according to regulatory testing guidelines is laborious and costly. Despite the obvious ecological and economic benefits of knowing environmental degradability as early as possible, its consideration in the early phases of rational chemical design is therefore challenging. Here, we explore the possibility to use half-lives determined in highly time- and work-efficient biotransformation experiments with activated sludge and mixtures of chemicals to predict soil half-lives from regulatory simulation studies. We experimentally determined half-lives for 52 structurally diverse agrochemical active ingredients in batch reactors with three concentrations of the same activated sludge. We then developed bi- and multivariate models for predicting half-lives in soil by regressing the experimentally determined half-lives in activated sludge against average soil half-lives of the same chemicals extracted from regulatory data. The models differed in how we accounted for sorption-related bioavailability differences in soil and activated sludge. The best-performing models exhibited good coefficients of determination ( of around 0.8) and low average errors (<factor of 3 in half-life predictions) and were robust in cross-validation. From a practical perspective, these results suggest that it may indeed be possible to read across from half-lives determined in highly efficient biotransformation experiments in activated sludge to soil half-lives, which are obtained from much more work- and resource-intense regulatory studies, and that these predictions are clearly superior to predictions based on the output of BIOWIN, a publicly available quantitative structure-biodegradation relationship (QSBR) model. From a theoretical perspective, these results suggest that soil and activated sludge microbial communities, although certainly different in terms of taxonomic composition, may be functionally similar with respect to the enzymatic transformation of environmentally relevant concentrations of a diverse range of chemical compounds.
特定隔室的降解半衰期是合成化学品监管风险评估中必不可少的信息。然而,根据监管测试指南进行测量既费力又昂贵。尽管尽早了解环境降解性具有明显的生态和经济效益,但在合理的化学设计早期阶段考虑这一点仍然具有挑战性。在这里,我们探索了使用高效生物转化实验(使用活性污泥和化学品混合物)中确定的半衰期来预测来自监管模拟研究的土壤半衰期的可能性。我们在具有三种相同活性污泥浓度的批式反应器中,对 52 种结构多样的农用化学品活性成分的半衰期进行了实验测定。然后,我们通过将实验确定的活性污泥半衰期与从监管数据中提取的相同化学品的平均土壤半衰期进行回归,开发了用于预测土壤半衰期的双变量和多变量模型。该模型在如何解释土壤和活性污泥中与吸附相关的生物利用度差异方面有所不同。表现最好的模型表现出良好的决定系数(约为 0.8)和低的平均误差(半衰期预测的误差小于 3 倍),并且在交叉验证中表现稳健。从实际的角度来看,这些结果表明,确实有可能从活性污泥中高效生物转化实验中确定的半衰期推断出从更费力和资源密集型的监管研究中获得的土壤半衰期,并且这些预测明显优于基于 BIOWIN 的预测,BIOWIN 是一种可用的定量结构 - 生物降解关系(QSBR)模型。从理论角度来看,这些结果表明,尽管土壤和活性污泥微生物群落在分类组成方面肯定不同,但就环境相关浓度的各种化学化合物的酶转化而言,它们在功能上可能相似。