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
- Yuhong Zhong (ORCID: https://orcid.org/0000-0001-6204-5827)
- 林佳蓁
- Jian Liu (ORCID: https://orcid.org/0000-0001-9765-9722)
- Xuefeng Shao
- Sha Liu
- Xiaofei Liu
- Yanpeng Ming
Institutions
- Applied Materials (United States) (US)
- Shaoyang University (CN)
- Jiangxi Normal University (CN)
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
- National Natural Science Foundation of China
- Natural Science Foundation of Hunan Province