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Moving Beyond Fenton-Based Peroxidase Nanozymes for Analytical Sensing: Perspectives on Nonradical Alternatives from Heterogeneous Catalysis

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Artificial enzymes have garnered attention for their potential to overcome the cost and stability limitations of natural enzymes. Among these, nanozymes─solid nanomaterials with enzymatic activity─have emerged as promising alternatives due to their facile synthesis and recyclability. To date, over half of the reported nanozymes mimic peroxidase (POD), catalyzing the oxidation of chromogenic substrates like 3,3′,5,5′-tetramethylbenzidine (TMB) with H2O2. While many studies have successfully demonstrated the substitution of horseradish peroxidase (HRP) with POD nanozymes in various sensing applications, challenges persist in characterizing their active sites to establish reliable catalytic correlations. Furthermore, unlike HRP, which utilizes H2O2 stoichiometrically for TMB oxidation, most POD nanozymes activate H2O2 through radical pathways. This results in low H2O2 utilization, hindering their practical use in quantitative assays compared to HRP. This perspective offers potential solutions from the standpoint of heterogeneous catalysis, including the use of probe-assisted surface techniques to distinguish active-site reactivity and the design of POD nanozymes that activate H2O2 via nonradical pathways to improve H2O2-to-substrate stoichiometry. These insights are expected to guide the future development of POD nanozymes, shifting the focus from maximizing OH radical generation to achieving controlled nonradical H2Oactivation and thus better mimicking HRP’s catalytic behavior.

© 2026 The Authors. Published by American Chemical Society
Original languageEnglish
Pages (from-to)16778–16787
Number of pages10
JournalAnalytical Chemistry
Volume98
Issue number23
Online published1 Jun 2026
DOIs
Publication statusPublished - 16 Jun 2026

Funding

This work is financially supported by the Hong Kong Research Grants Council (CityU 11300524, CityU 11301625, and C5081-21E).

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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