Feasibility of UVC-LED/H2O2 advanced oxidation processes as a hybrid water treatment system uniting secondary battery and microbial fuel cell

被引:0
|
作者
Yoon, Younggun [1 ,2 ]
Kim, Bongkyu [2 ]
Cho, Min [2 ]
机构
[1] Gwangju Inst, 55 Jingoksandanjungang Ro, Gwangju 62465, South Korea
[2] Jeonbuk Natl Univ, Coll Environm & Bioresource Sci, Div Biotechnol, Iksan 54596, Jeonbuk, South Korea
来源
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING | 2024年 / 12卷 / 06期
基金
新加坡国家研究基金会;
关键词
OH radicals; Micropollutants; UV-based AOP; Disinfection; Microorganisms; ORGANIC CONTAMINANT ABATEMENT; ANTIBIOTIC-RESISTANCE GENES; ESCHERICHIA-COLI; WASTE; ENERGY; INACTIVATION; MANAGEMENT; UV; DEGRADATION; KINETICS;
D O I
10.1016/j.jece.2024.114222
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An innovative hybrid water treatment system consisting of an ultraviolet C light-emitting diode sequentially connected to a secondary battery and microbial fuel cells was developed and systematically optimized via an electrochemical performance test. According to standardized bio-dosimetry, the generated ultraviolet intensity powered by a pre-charged battery was determined to be 2.3x10(-1) mu W cm(-2). The quantified UV intensity was used in calculating the fundamental kinetic parameters for the inactivation of microbial entities and the degradation of organic pollutants during UVC-LED and UVC-LED/H2O2 treatment processes. The fluence-based first-order rate constants were 1.07 and 2.43 cm(2)/mJ for Escherichia coli and 0.10 and 0.18 cm(2)/mJ for MS-2 bacteriophage, respectively. The study detected 2.76-8.00x10(-16) M hydroxyl radicals at steady-state during UVC-LED/H2O2 treatment with 0.3-1 mM H2O2. The second-order rate constant for atrazine during UVC-LED/H2O2 treatment was 1.90x10(9) M-1 s(-1) according to linear regression analysis of atrazine elimination over center dot OH exposure. This comprehensive investigation expands the application of microbial electrochemical systems in water treatment, providing a fundamental kinetic dataset for quantifying and predicting the microbial and (persistent) organic pollutants abatement.
引用
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页数:9
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