Kiefer Nadine, Klein Judith, Rohr Mirko, Noll Matthias, Burkhart Michael, Klein Michael, Kalkhof Stefan
Institute for Bioanalysis, University of Applied Sciences Coburg, Coburg, Germany.
Institute of Analytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Leipzig, Germany.
Environ Sci Pollut Res Int. 2025 Jan;32(5):2425-2440. doi: 10.1007/s11356-024-35760-y. Epub 2025 Jan 9.
Biocides, applied in building materials as antimicrobial protectants, can be leached out by rain, presenting substantial environmental risks as confirmed by studies on aquatic environments. However, these biocides are consistently released throughout the year in a diluted form, posing unique challenges for the prediction of transport, transformation, and ecotoxicity assessment in soil. To address this challenge, we combined COMLEAM, which predicts leaching from facades into the soil, with the FOCUS PELMO pesticide model to predict biocide distribution in soil. The study predicted the concentration of the commonly used biocides 1,2-benzisothiazol-3(2H)-one (BIT), 2-n-octyl-4-isothiazolinone-3-one, and terbutryn at various soil depths over 600 days, thereby evaluating the influence of different leaching simulations, absorption, and degradation kinetics on the PELMO simulation results. The findings suggest an effective simulation of biocide behavior in soil, with a tendency to overestimate the risk associated with short-acting in-can preservatives like BIT and provide more precise predictions for long-acting film preservatives. Biocide concentrations showed little variance in the upper layers and increased discrepancies at greater depths. This integrated approach provides a cost-effective means for predicting environmental risks and formulating management strategies, especially when paired with experimentally determined soil-specific degradation and absorption values.
作为抗菌保护剂应用于建筑材料中的杀生剂会被雨水淋溶出来,如对水生环境的研究所证实的那样,这会带来重大的环境风险。然而,这些杀生剂全年都会以稀释形式持续释放,这给土壤中其迁移、转化的预测以及生态毒性评估带来了独特挑战。为应对这一挑战,我们将预测从外墙向土壤淋溶情况的COMLEAM与FOCUS PELMO农药模型相结合,以预测杀生剂在土壤中的分布。该研究预测了常用杀生剂1,2-苯并异噻唑-3(2H)-酮(BIT)、2-正辛基-4-异噻唑啉-3-酮和特丁津在600天内不同土壤深度处的浓度,从而评估不同淋溶模拟、吸附和降解动力学对PELMO模拟结果的影响。研究结果表明能有效模拟杀生剂在土壤中的行为,对于像BIT这样的短效罐内防腐剂存在高估相关风险的倾向,而对于长效薄膜防腐剂能提供更精确的预测。杀生剂浓度在上层变化不大,在更深层差异增大。这种综合方法为预测环境风险和制定管理策略提供了一种经济有效的手段,特别是当与实验确定的土壤特定降解和吸附值相结合时。