Synergistic activation of peroxymonosulfate by 3D CoNiO2/Co core-shell structure biochar catalyst for sulfamethoxazole degradation

• Published in: Bioresource technology Vol. 406; p. 130983
• Main Authors: Liu, Zhibin, Shi, Xuelin, Yan, Zihao, Sun, Zhirong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2024
• Subjects: Active species transformation; Biochar; Density functional theory; Machine learning; Peroxymonosulfate; Density functional theory; Peroxymonosulfate; Biochar; Active species transformation; Machine learning
• ISSN: 0960-8524; 1873-2976; 1873-2976
• DOI: 10.1016/j.biortech.2024.130983

[Display omitted] •3D core–shell structure biochar catalyst derived from walnut-shell was synthesized.•BC@CoNi-600/PMS system achieved 100% degradation of SMX and repeated stability.•Molecular probes quantified the ROS transformation in the BC@CoNi-600/PMS system.•Machine learning method proposed the multiscale effect of SMX degradation. In this study, a 3D CoNiO2/Co core–shell structure biochar catalyst derived from walnut shell was synthesized by hydrothermal and ion etching methods. The prepared BC@CoNi-600 catalyst exhibited exceptional peroxymonosulfate (PMS) activation. The system achieved 100 % degradation of sulfamethoxazole (SMX). The reactive oxygen species in the BC@CoNi-600/PMS system included SO4−, OH, and O2−. Density functional theory calculations explored the synergistic effects between nickel–cobalt bimetallic and carbon matrix during PMS activation. The unique 3D core–shell structure of BC@CoNi-600 features an outer nickel–cobalt bimetallic layer with exceptional PMS adsorption capacity, while protecting the zero-valence Co of the inner layer from oxidation. Based on the experimental-data, machine learning modeling mechanism, and information theory, a nonlinear modeling method was proposed. This study utilizes a machine learning approach to investigate the degradation of SMX in complex aquatic environments. This study synthesized a novel biochar-based catalyst for activated PMS and provided unique insights into its environmental applications.