Optimizing Compatibility between Oxidants and Catalysts for Heterogeneous Catalytic Water Purification

Metal oxides and carbon materials, which can be readily obtained from minerals and biomass, respectively, offer both performance and cost advantages and are the catalysts of choice for catalytic wastewater treatment applications. In this work, we explore the optimal compatibility between catalysts, with metal oxides and carbon materials as examples, and oxidants with peroxymonosulfate and peroxydisulfate (PMS and PDS) as representatives. Metal oxides catalyze PMS effectively and exhibit an efficiency 1-3 orders of magnitude higher than when catalyzing PDS. Conversely, carbon materials catalyze PDS much more effectively, with an efficiency 1-3 orders of magnitude higher than when catalyzing PMS. The scientific mechanism behind such a compatibility is found to be attributed to the polarity-based matching effect between valence bonds on the catalyst surface and the oxidant molecules, following the polarity principle of "similarity-intermiscibility" theory. Composite materials containing metal and carbon prepared according to this mechanism demonstrate robust performance for both PMS and PDS, consistent with the predictions and validating the rationality and expandability of the compatibility principle. This work provides guidance for catalyst selection in the application of persulfate-catalyzed water purification technology.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-06-06
DOI
https://doi.org/10.1021/acs.est.5c05273
Citations
12
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
6.21

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article

Optimizing Compatibility between Oxidants and Catalysts for Heterogeneous Catalytic Water Purification

Han‐Qing Yu, Yingjie Zhang, Jia-Shu Tao
12 citations
Environmental Science & Technology
Catalytic Processes in Materials Science
6.21
article

Optimizing Compatibility between Oxidants and Catalysts for Heterogeneous Catalytic Water Purification

Han‐Qing Yu, Yingjie Zhang, Jia-Shu Tao
article en
12 citations

Abstract

Metal oxides and carbon materials, which can be readily obtained from minerals and biomass, respectively, offer both performance and cost advantages and are the catalysts of choice for catalytic wastewater treatment applications. In this work, we explore the optimal compatibility between catalysts, with metal oxides and carbon materials as examples, and oxidants with peroxymonosulfate and peroxydisulfate (PMS and PDS) as representatives. Metal oxides catalyze PMS effectively and exhibit an efficiency 1-3 orders of magnitude higher than when catalyzing PDS. Conversely, carbon materials catalyze PDS much more effectively, with an efficiency 1-3 orders of magnitude higher than when catalyzing PMS. The scientific mechanism behind such a compatibility is found to be attributed to the polarity-based matching effect between valence bonds on the catalyst surface and the oxidant molecules, following the polarity principle of "similarity-intermiscibility" theory. Composite materials containing metal and carbon prepared according to this mechanism demonstrate robust performance for both PMS and PDS, consistent with the predictions and validating the rationality and expandability of the compatibility principle. This work provides guidance for catalyst selection in the application of persulfate-catalyzed water purification technology.

Environmental Science & TechnologyVol. 59(23)
University of Science and Technology of China (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, University of Science and Technology of China, Natural Science Foundation of Anhui Province, Fundamental Research Funds for the Central Universities
Clean water and sanitation
Openalex Percentile: Top 3%
Catalytic Processes in Materials Science
6.21
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Optimizing Compatibility between Oxidants and Catalysts for Heterogeneous Catalytic Water Purification — Han‐Qing Yu, Yingjie Zhang, et al. · Environmental Science & Technology (2025) | TGRS Research Map | TGRS