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Luo Q, Zhuang W, Sui M. Combating Antibiotic Resistance in Persulfate-Based Advanced Oxidation Processes: Activation Methods and Energy Consumption. ENVIRONMENTAL RESEARCH 2025; 270:120932. [PMID: 39864723 DOI: 10.1016/j.envres.2025.120932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2024] [Revised: 01/04/2025] [Accepted: 01/22/2025] [Indexed: 01/28/2025]
Abstract
Antibiotic resistant bacteria (ARB) and antibiotic resistant genes (ARGs) have become increasing concerning issues, threatening human health. Persulfate-based advanced oxidation processes (PS-AOPs), due to their remarkable potential in combating antibiotic resistance, have garnered significant attention in the field of disinfection in recent years. In this review, we systematically evaluated the efficacy and underlying mechanism of PS integration with various activation methods for the elimination of ARB/ARGs. These approaches encompass physical methods, catalyst activation, and hybrid techniques with photocatalysis, ozonation, and electrochemistry. Additionally, we employed Chick's model and electrical energy per log order (EE/O) to assess the performance and energy efficiency, respectively. This review aims at providing a guide for future investigation on PS-AOPs for antibiotic resistance control.
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Affiliation(s)
- Qianqian Luo
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, PR China.
| | - Wei Zhuang
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, PR China
| | - Minghao Sui
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, PR China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, PR China
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Liu Z, Dai X, He J, Lin M, Luo H, Fan L, Zhang K, Ma D, Wang J, Chen W. Amphichdiral enhancement on singlet oxygen generation and stable thallium immobilization using iron-driven copper oxide. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 365:121524. [PMID: 38897082 DOI: 10.1016/j.jenvman.2024.121524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/30/2024] [Accepted: 06/16/2024] [Indexed: 06/21/2024]
Abstract
Thallium (Tl) as a prominent priority contaminant in aquatic environment necessitates rigorous regulation. However, limited horizon devotes the impact of selective oxidation on the process of thallium purification. In this study, selective active radical of singlet oxygen (1O2) was continually generated for Tl(Ⅰ) oxidation accomplished with efficient Tl(Ⅲ) immobilization using iron-driven copper oxide (CuFe)/peroxymonosulfate (PMS). Fe-doping changed the active center of electronic structure for enhancing the catalytic and adsorptive reactivities, and installed magnetism for solid-liquid separation. Rapid reaction rate (0.253 min-1) coupled with vigorous elimination efficiency (98.32%) relied on electrostatic attraction, surface complexation, and H-bond interaction. EPR and XPS analyses demonstrated that the synergistic effects of ≡ Cu(Ⅰ)/≡Cu(Ⅱ) and ≡ Fe(Ⅲ)/≡Fe(Ⅱ) redounded to the sustained generation of 1O2 through the pathway of PMS → •O2- → 1O2, and 1O2 exploited an advantage to selectively oxidize Tl(Ⅰ) to Tl(Ⅲ). 3D isosurface cubic charts revealed that the immobilizing ability of Tl(Ⅲ) hydrate for CuFe was notably superior to that of Tl(Ⅲ) hydrate for CuO and Tl(Ⅰ) hydrate for CuO/CuFe, which further attested surface reactivity promoted stable immobilization form. This work develops the continuous generation of 1O2 and stable immobilization with the goal of efficiently cleansing Tl-containing wastewater.
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Affiliation(s)
- Zhujun Liu
- Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction, Sichuan Agricultural University, Chengdu, 611830, China; College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China
| | - Xinning Dai
- Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction, Sichuan Agricultural University, Chengdu, 611830, China; College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China
| | - Jun He
- Environmental Monitoring Station of Hanyuan, Ya'an, 625300, China
| | - Mengyi Lin
- Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction, Sichuan Agricultural University, Chengdu, 611830, China; College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China
| | - Hongbing Luo
- Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction, Sichuan Agricultural University, Chengdu, 611830, China; College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China
| | - Liangqian Fan
- Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction, Sichuan Agricultural University, Chengdu, 611830, China; College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China
| | - Ke Zhang
- Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction, Sichuan Agricultural University, Chengdu, 611830, China; College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China
| | - Dandan Ma
- Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction, Sichuan Agricultural University, Chengdu, 611830, China; College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China
| | - Jun Wang
- College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China
| | - Wei Chen
- Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction, Sichuan Agricultural University, Chengdu, 611830, China; College of Civil Engineering, Sichuan Agricultural University, Chengdu, 611830, China.
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Chen Z, Pignatello JJ. Analytical methods for selectively determining hydrogen peroxide, peroxymonosulfate and peroxydisulfate in their binary mixtures. WATER RESEARCH 2024; 253:121256. [PMID: 38335843 DOI: 10.1016/j.watres.2024.121256] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 01/26/2024] [Accepted: 02/01/2024] [Indexed: 02/12/2024]
Abstract
Hydrogen peroxide (H2O2), peroxymonosulfate (PMS), and peroxydisulfate (PDS) are key bulk oxidants in many advanced oxidation processes (AOPs) for treating chemically contaminated water. In some systems these peroxides may coexist in solution either through intentional co-addition or their inadvertent formation (especially H2O2) due to reaction chemistry. While many analytical methods to determine these peroxides individually have been established, mutual interference among the peroxides in such methods has seldom been evaluated, and new methods or variants of established methods to selectively determine peroxides in binary mixtures are lacking. We re-examined five established colorimetric methods-the Permanganate, Titanium Oxalate (Ti-oxalate), Iodide, N.N‑diethyl-p-phenylenediamine (DPD), and 2,20-azino-bis(3-ethylbenzothiazoline-6-sulfonate (ABTS) methods-for mutual interference among peroxides and devised variants of these methods for selectively quantifying one peroxide in the presence of another. Hydrogen peroxide can be selectively determined by the Permanganate method at short reaction time; by the Ti-oxalate method; by the DPD method with added peroxidase (POD); or by the ABTS method with added POD. PMS can be selectively determined by the Iodide method; by the DPD or ABTS methods with added iodide ion as catalyst; or by the DPD method with added catalase (CAT) (with co-existing H2O2 but not PDS). The DPD method can be used to determine PDS without interference by H2O2 and-provided the sample is pretreated with l-histidine-without interference by PMS. The recommended methods were successfully applied to binary peroxide mixtures in complex waters, including a tap water and a synthetic water. Overall, the new selective methods will assist mechanistic investigation of AOPs based on these peroxides and support efforts to apply them commercially.
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Affiliation(s)
- Zhihao Chen
- The Connecticut Agricultural Experiment Station, New Haven, CT 06511, United States
| | - Joseph J Pignatello
- The Connecticut Agricultural Experiment Station, New Haven, CT 06511, United States.
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