Molecular behavior and interactions with microbes during anaerobic degradation of bio-derived DOM in waste leachate

作     者：Junjie Qiu Tianqi Li Fan Lü Yulong Huang Chao Li Hua Zhang Liming Shao Pinjing He Junjie Qiu;Tianqi Li;Fan Lü;Yulong Huang;Chao Li;Hua Zhang;Liming Shao;Pinjing He

作者机构：Institute of Waste Treatment and ReclamationTongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological SecurityShanghai 200092China Shanghai Engineering Research Center of Multi-source Solid Wastes Co-Processing and Energy UtilizationShanghai 200092China 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2023年第126卷第4期

页      面：174-183页

核心收录：

学科分类：0710[理学-生物学] 083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 0703[理学-化学] 0836[工学-生物工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Key R&D Program of China (No. 2018YFC1903700) National Natural Science Foundation of China (No. 22076145)。 

主　　题：Soluble microbial products Data mining Machine learning Solid waste Orbitrap 

摘      要：It is the key to control bio-derived dissolved organic matters (DOM) in order to reduce the effluent concentration of wastewater treatment, especially for waste leachate with high organic contaminants. In the present study, the anaerobic degradation of aerobically stabilized DOM was investigated with DOM substrate isolated through electrodialysis. The degradation of bio-derived DOM was confirmed by reduction of 15%of total organic carbon in 100 days.We characterized the molecular behavior of bio-derived DOM by coupling molecular and biological information analysis. Venn based Sankey diagram of mass features showed the transformation of bio-derived DOM mass features. Occurrence frequency analysis divided mass features into six categories so as to distinguish the fates of intermediate metabolites and persistent compounds. Reactivity continuum model and machine learning technologies realized the semi-quantitative determination on the kinetics of DOM mass features in the form of pseudo-first order, and confirmed the reduction of inert mass features. Furthermore, network analysis statistically establish relationship between DOM mass features and microbes to identify the active microbes that are able to utilize bio-derived DOM. This work confirmed the biological technology is still effective in controlling recalcitrant bio-derived DOM during wastewater treatment.