Hexagonal boron nitride-supported γ-MnO2 for reduced oxidant demand in the polymerization of phenolic pollutants
- Authors
- Lee, Youn-Jun; Jo, Ahyeon; Lee, Chang-gu; Kwon, Eilhann E.
- Issue Date
- Mar-2026
- Publisher
- ELSEVIER SCIENCE SA
- Keywords
- Water treatment; Advanced oxidation process; Boron nitride; Fenton-like reaction; Polymerization
- Citation
- CHEMICAL ENGINEERING JOURNAL, v.531, pp 1 - 11
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- CHEMICAL ENGINEERING JOURNAL
- Volume
- 531
- Start Page
- 1
- End Page
- 11
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217606
- DOI
- 10.1016/j.cej.2026.174342
- ISSN
- 1385-8947
1873-3212
- Abstract
- Minimizing the oxidant input in heterogeneous Fenton-like reactions provides a practical strategy for reducing operational costs and abating secondary pollution. This study used hexagonal boron nitride (h–BN) as a support catalyst for γ–MnO2 to enhance the persulfate utilization during the oxidative polymerization of phenolic pollutants. Upon peroxymonosulfate (PMS) activation, γ–MnO2 generated surface-bound PMS, which directly abstracted electrons from pollutants, suppressing excessive oxidant consumption. Simultaneously, the h–BN support enriched bisphenol A (BPA) on the γ–MnO2-decorated h–BN (MnBN) surface via intermolecular interactions, accelerating the coupling/polymerization of oxidized pollutant intermediates. Consequently, MnBN achieved a high persulfate utilization efficiency (PUE; 87.7%), surpassing previously reported values, and a six-times-faster BPA removal rate (normalized to Mn content) than that of pristine γ–MnO2, along with a high polymerization transfer ratio of 95.3%. The critical role of the fast coupling/polymerization of oxidized intermediates, following direct electron transfer, in achieving a high PUE was systematically validated using structurally analogous phenolic pollutants. This study offers a strategy for dynamically minimizing chemical inputs in advanced oxidation processes and provides mechanistic insights into the interplay between pollutant structure and oxidant consumption.
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