Citation: Jiamei Liu, Jiali Liu, Shurun Yang, Qingyu Zhao, Xin Wang, Xingxing An, Chuan-Shu He. Synergistic removal of antibiotic-resistant bacteria and genes by UVC-driven advanced oxidation process: Mechanistic insights and environmental challenges[J]. Chinese Chemical Letters, ;2026, 37(8): 112699. doi: 10.1016/j.cclet.2026.112699 shu

Synergistic removal of antibiotic-resistant bacteria and genes by UVC-driven advanced oxidation process: Mechanistic insights and environmental challenges

Jiamei Liu ^{a, b} ,
Jiali Liu ^{a, b} ,
Shurun Yang ^{a, b} ,
Qingyu Zhao ^{a, b} ,
Xin Wang ^{a, b} ,
Xingxing An ^{c, *,} ,
Chuan-Shu He ^{a, b, *,}

a.
State Key Laboratory of Hydraulics and Mountain River Engineering, College of Architecture and Environment, Sichuan University, Chengdu 610065, China
b.
Sino-German Centre for Water and Health Research, Sichuan University, Chengdu 610065, China
c.
Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610000, China

anxingxing@wchscu.edu.cn

hecs@scu.edu.cn

Received Date: 11 December 2025
Revised Date: 24 March 2026
Accepted Date: 31 March 2026
Available Online: 1 April 2026

Figures(5)

The global spread of antibiotic resistance (AR) poses a critical public health threat, urgently requiring effective strategies to control antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in water. Ultraviolet-based advanced oxidation processes (UVC/AOPs) offer a promising solution. By leveraging synergy between UVC light and oxidants (e.g., H₂O₂, PMS, O₃, PAA, Cl₂) to generate reactive radicals, they efficiently inactivate ARB, degrade ARGs, and suppress horizontal gene transfer (HGT). This review synthesizes recent advances, emphasizing: (1) Combined mechanisms of direct UVC damage and radical-mediated oxidation; (2) critical efficacy factors like radical kinetics and water matrix effects (DOM, salinity); and (3) key challenges including mechanistic gaps, particulate shielding of ARGs, and variable microbial susceptibility. To address these, we propose a machine learning-augmented approach integrating quantum chemical calculations and real-time spectroscopy to build predictive "radical-biotarget" models for intelligent optimization. While UVC/AOPs show broad efficacy and environmental promise, future research must prioritize elucidating fundamental mechanisms, optimizing parameters for diverse waters, and developing intelligent control systems to enhance specificity and resilience. Through such innovations, UVC/AOPs can become a core technology for precise AR risk management in water systems, providing a sustainable barrier against resistance spread.
- UVC-based advanced oxidation process,
- Antibiotic resistant bacteria,
- Antibiotic resistance genes,
- Reactive oxygen species,
- Antimicrobial resistance control
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沈阳化工大学材料科学与工程学院沈阳 110142