Bisphenol F (BPF) and bisphenol S (BPS) are becoming widespread in the environment despite the lack of information regarding their fate during wastewater treatment and in the environment. This study assessed the biodegradation kinetics of BPF and BPS during biological wastewater treatment with activated sludge using GC-MS/MS, and the identification of biotransformation products (BTPs) using LC-QTOF-MS. The results showed that BPF and BPS degrade readily and unlikely accumulate in biosolids or wastewater effluent (c_i = 0.1 mg L⁻¹, half-lives <4.3 days). The first-order kinetic model revealed that BPF (k_t = 0.20–0.38) degraded faster than BPS (k_t = 0.04–0.16) and that degradation rate decreases with an increasing initial concentration of BPS (half-lives 17.3 days). The absence of any additional organic carbon source significantly slowed down degradation, in particular, that of BPS (lag phase on day 18 instead of day 7). The machine-learning algorithm adopted as part of the non-targeted workflow identified three known BTPs and one novel BTP of BPF, and one known and ten new BTPs of BPS. The data from this study support possible new biodegradation pathways, namely sulphation, methylation, cleavage and the coupling of smaller bisphenol moieties.

尽管缺乏有关废水处理过程中和环境中命运的信息，但双酚F（BPF）和双酚S（BPS）在环境中却变得越来越普遍。这项研究使用GC-MS / MS评估了活性污泥处理生物废水过程中BPF和BPS的生物降解动力学，并使用LC-QTOF-MS鉴定了生物转化产物（BTP）。结果表明，BPF和BPS容易降解和生物固体中或废水流出不可能累积（C_我= 0.1毫克的L ^-1，半衰期<4.3天）。一阶动力学模型表明，BPF（k _t = 0.20–0.38）的降解速度比BPS（k _t= 0.04-0.16），并且降解速率随BPS初始浓度的增加而降低（半衰期17.3天）。缺少任何其他有机碳源会显着减慢降解速度，特别是BPS的降解速度（第18天为滞后阶段，而不是第7天）。作为非目标工作流一部分的机器学习算法识别了三个已知的BTP和一个新颖的BPF BTP，以及一个已知的BPS和十个新BTP。这项研究的数据支持可能的新生物降解途径，即硫酸化，甲基化，裂解和较小双酚部分的偶联。