Activation preference: A new descriptor to predict non-radical oxidation pathways-Reference-Cited by-同舟云学术

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Activation preference: A new descriptor to predict non-radical oxidation pathways

Published:2024-09 Issue: Volume:496 Page:154185
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Liang Lan,Li Ning,Li Zhixun,Cheng Zhanjun,Yan Beibei,Chen Guanyi,Hou Li-an

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference41 articles.

1. Overlooked impacts of natural organic matter conversion in a Fe(II)-induced peroxymonosulfate activation system for river water remediation;Liang;Sci. Total Environ.,2023

2. Design of copper oxide and oxygen codoped graphitic carbon nitride activator for efficient radical and nonradical activation of peroxymonosulfate;Wei;Chin. Chem. Lett.,2023

3. Enhanced degradation of organic contaminants by Fe(III)/peroxymonosulfate process with l-cysteine;Qi;Chin. Chem. Lett.,2022

4. Density functional theory and machine learning-based quantitative structure-activity relationship models enabling prediction of contaminant degradation performance with heterogeneous peroxymonosulfate treatments;Xiao;Environ. Sci. Tech.,2023

5. A review of the innovations in metal- and carbon-based catalysts explored for heterogeneous peroxymonosulfate (PMS) activation, with focus on radical vs. non-radical degradation pathways of organic contaminants;Kohantorabi;Chem. Eng. J.,2021

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