Hubei Key Laboratory of Mineral Resources Processing and Environment, Wuhan University of Technology, Luoshi Road 122, Wuhan 430070, China.
School of Resources and Environmental Engineering, Wuhan University of Technology, Luoshi Road 122, Wuhan 430070, China.
Environ Sci Technol. 2024 Mar 19;58(11):5162-5173. doi: 10.1021/acs.est.3c10107. Epub 2024 Feb 15.
Sidestream serves as an important reservoir collecting pharmaceuticals from sludge. However, the knowledge on sidestream pharmaceutical removal is still insufficient. In this work, atenolol biodegradation during sidestream partial nitritation (PN) processes characterized by high free nitrous acid (FNA) accumulation was modeled. To describe the FNA inhibition on ammonia oxidation and atenolol removal, Vadivelu-type and Hellinga-type inhibition kinetics were introduced into the model framework. Four inhibitory parameters along with four biodegradation kinetic parameters were calibrated and validated separately with eight sets of batch experimental data and 60 days' PN reactor operational data. The developed model could accurately reproduce the dynamics of nitrogen and atenolol. The model prediction further revealed that atenolol biodegradation efficiencies by ammonia-oxidizing bacteria (AOB)-induced cometabolism, AOB-induced metabolism, and heterotrophic bacteria-induced biodegradation were 0, ∼ 60, and ∼35% in the absence of ammonium and FNA; ∼ 14, ∼ 29, and ∼28% at 0.03 mg-N L FNA; and 7, 15, and 5% at 0.19 mg-N L FNA. Model simulation showed that the nitritation efficiency of ∼99% and atenolol removal efficiency of 57.5% in the PN process could be achieved simultaneously by controlling pH at 8.5, while 89.2% total nitrogen and 57.1% atenolol were removed to the maximum at pH of 7.0 in PN coupling with the anammox process. The pH-based operational strategy to regulate FNA levels was mathematically demonstrated to be effective for achieving the simultaneous removal of nitrogen and atenolol in PN-based sidestream processes.
侧流作为一个重要的储集库,从污泥中收集药物。然而,侧流药物去除的知识仍然不足。在这项工作中,研究了在高游离亚硝态氮(FNA)积累条件下的侧流部分硝化(PN)过程中阿替洛尔的生物降解。为了描述 FNA 对氨氧化和阿替洛尔去除的抑制作用,引入了 Vadivelu 型和 Hellinga 型抑制动力学模型。使用 8 组批实验数据和 60 天的 PN 反应器运行数据,分别对 4 个抑制参数和 4 个生物降解动力学参数进行了标定和验证。所建立的模型能够准确地再现氮和阿替洛尔的动力学。模型预测进一步表明,在没有铵和 FNA 的情况下,氨氧化菌(AOB)诱导的共代谢、AOB 诱导的代谢和异养细菌诱导的生物降解对阿替洛尔的生物降解效率分别为 0、60 和35%;在 0.03 mg-N L FNA 时,分别为14、29 和28%;在 0.19 mg-N L FNA 时,分别为 7、15 和 5%。模型模拟表明,通过将 pH 控制在 8.5,可以同时实现 PN 过程中99%的硝化效率和 57.5%的阿替洛尔去除效率,而在 PN 与厌氧氨氧化耦合过程中,当 pH 为 7.0 时,可以最大程度地去除 89.2%的总氮和 57.1%的阿替洛尔。基于 pH 的操作策略来调节 FNA 水平在数学上被证明是有效的,可用于实现 PN 基侧流工艺中氮和阿替洛尔的同时去除。