Surface-Engineered Copper Oxide with Enhanced Peroxidase–Mimic Activity for Ag <sup>+</sup> Detection

Developing convenient enzyme-mimic colorimetric detection methods is essential for the long-term and systematic safety management of Ag + pollution, where nanozyme stability and catalytic activity govern detection performance. In this work, we employed a surface-engineering strategy on copper oxides using trithiocyanuric acid (TTCA) as an electron-injection reagent. Partial etching of Cu 2+ was followed by in situ reductive coordination with the C═S groups of TTCA, generating a surface coating of poly-TTCA/Cu + and TTCA/Cu + species. This surface engineering approach significantly enhanced both the peroxidase-mimic (POD-mimic) activity and catalytic stability of the copper oxides. The introduced unsaturated Cu + ···S═C coordination moieties were identified as critical for efficient H 2 O 2 activation to produce reactive oxygen species (·OH, ·O 2 –, and 1 O 2 ). A highly sensitive and selective colorimetric platform was then established for Ag + detection, achieving a detection limit of 0.02 μM and successfully applied to actual water samples. The detection mechanism involves Ag + -mediated structural disruption and reconstruction, leading to the passivation of the POD-mimic activity. Our surface-engineering strategy for improving the POD-mimic performance deepens the understanding of the structure–activity-detection relationship in nanozymes, presenting a valuable pathway for advancing enzyme-mimic optimization for diverse applications.

Authors

Institutions

Publication Details

Journal
Inorganic Chemistry
Published
2026-06-17
DOI
https://doi.org/10.1021/acs.inorgchem.6c01372
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surface-Engineered Copper Oxide with Enhanced Peroxidase–Mimic Activity for Ag + Detection

Yuhong Zhong, 林佳蓁, Jian Liu, Xuefeng Shao et al.
Inorganic Chemistry
Advanced Nanomaterials in Catalysis
article

Surface-Engineered Copper Oxide with Enhanced Peroxidase–Mimic Activity for Ag + Detection

Yuhong Zhong, 林佳蓁, Jian Liu, Xuefeng Shao, Sha Liu, Xiaofei Liu, Yanpeng Ming
article en

Abstract

Developing convenient enzyme-mimic colorimetric detection methods is essential for the long-term and systematic safety management of Ag + pollution, where nanozyme stability and catalytic activity govern detection performance. In this work, we employed a surface-engineering strategy on copper oxides using trithiocyanuric acid (TTCA) as an electron-injection reagent. Partial etching of Cu 2+ was followed by in situ reductive coordination with the C═S groups of TTCA, generating a surface coating of poly-TTCA/Cu + and TTCA/Cu + species. This surface engineering approach significantly enhanced both the peroxidase-mimic (POD-mimic) activity and catalytic stability of the copper oxides. The introduced unsaturated Cu + ···S═C coordination moieties were identified as critical for efficient H 2 O 2 activation to produce reactive oxygen species (·OH, ·O 2 –, and 1 O 2 ). A highly sensitive and selective colorimetric platform was then established for Ag + detection, achieving a detection limit of 0.02 μM and successfully applied to actual water samples. The detection mechanism involves Ag + -mediated structural disruption and reconstruction, leading to the passivation of the POD-mimic activity. Our surface-engineering strategy for improving the POD-mimic performance deepens the understanding of the structure–activity-detection relationship in nanozymes, presenting a valuable pathway for advancing enzyme-mimic optimization for diverse applications.

Inorganic Chemistry
Applied Materials (United States) (US), Shaoyang University (CN), Jiangxi Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 15%
Advanced Nanomaterials in Catalysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.