Facile electrochemical fabrication of GO@ZnO@MnO 2 nanocomposite for catalytic ozonation of ciprofloxacin: experimental optimization and machine learning modeling

RSC Advances 2026 Open access

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Authors: Huu-Tap Van, Le Phuong Hoang, Van Hung Hoang, T N P Nguyen, Thi Dong Nguyen, Thi Hong Huyen Chu, Thu Huyen Nguyen, Vu Thi Thuy Trang, Van-Truong Nguyen, T N P Nguyen
DOI: 10.1039/d6ra01551d
Cited by: 1
References: 61

Abstract

= 0.977 and 0.976, respectively), with reaction time identified as the most influential variable. This study presents the first integration of green electrochemical synthesis, systematic parametric optimization and high-accuracy machine-learning modeling for catalytic ozonation of CIP, offering a sustainable and predictive strategy for the efficient mineralization of recalcitrant antibiotics in wastewater.

Fields of Study & Subjects

Pharmaceutical and Antibiotic Environmental Impacts Advanced oxidation water treatment Advanced Photocatalysis Techniques

Publication details

Journal / source
RSC Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
16
Issue
33
Pages
30310–30331
Publication date
1 January 2026
Language
EN