Coll Claudia, Screpanti Claudio, Hafner Jasmin, Zhang Kunyang, Fenner Kathrin
Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland.
Soil Health Research Center, Biology Research, Syngenta Crop Protection AG, Schaffhauserstrasse 101, Stein CH-4332, Switzerland.
Environ Sci Technol. 2025 Jan 28;59(3):1790-1800. doi: 10.1021/acs.est.4c09306. Epub 2025 Jan 14.
Recent emphasis on the development of safe-and-sustainable-by-design chemicals highlights the need for methods facilitating the early assessment of persistence. Activated sludge experiments have been proposed as a time- and resource-efficient way to predict half-lives in simulation studies. Here, this persistence "read-across" approach was developed to be more broadly and robustly applicable. We evaluated 21 previously used reference plant protection products (PPPs) for their broader applicability in calibrating regression and classification models for predicting half-lives in soil (DT50) and water-sediment systems (DT50) based on their half-life in sludge and the organic carbon-water partition coefficient as predictors. The calibrated regression models showed satisfactory predictions of DT50 for another 22 test PPPs. Performance was less satisfying for the prediction of DT50 for 46 active pharmaceutical ingredients (APIs), suggesting a need for expanding the set of calibration substances and more experimental values. The classification models mostly correctly classified persistent and non-persistent test compounds for both PPPs and APIs, which is relevant for early-stage screening of persistence. Transformation products of the reference compounds in activated sludge samples were consistent with the reported degradation pathways in soil, particularly with respect to major aerobic, enzyme-catalyzed transformation reactions. Overall, "reading across" biotransformation in environmental compartments such as soils or sediments from experiments with activated sludge outperformed three widely used approaches for estimating half-lives and hence has immediate potential to support early assessment of biodegradability when aiming to develop chemicals that are safe and sustainable by design.
近期对设计安全且可持续化学品的重视凸显了促进持久性早期评估方法的必要性。活性污泥实验已被提议作为一种在模拟研究中预测半衰期的省时且资源高效的方法。在此,开发了这种持久性“类推”方法,使其更广泛且稳健地适用。我们评估了21种先前使用的参考植物保护产品(PPP),基于它们在污泥中的半衰期和有机碳 - 水分配系数作为预测因子,评估其在校准用于预测土壤(DT50)和水 - 沉积物系统(DT50)中半衰期的回归和分类模型方面的更广泛适用性。校准后的回归模型对另外22种测试PPP的DT50显示出令人满意的预测。对于46种活性药物成分(API)的DT50预测,性能不太令人满意,这表明需要扩大校准物质的范围并增加更多实验值。分类模型大多能正确分类PPP和API的持久性和非持久性测试化合物,这对于持久性的早期筛选很重要。活性污泥样品中参考化合物的转化产物与土壤中报道的降解途径一致,特别是在主要的需氧、酶催化转化反应方面。总体而言,从活性污泥实验“类推”土壤或沉积物等环境介质中的生物转化优于三种广泛使用的估计半衰期的方法,因此在旨在开发设计安全且可持续的化学品时,具有立即支持生物降解性早期评估的潜力。