Demonstrates enhanced silver ion detection in water samples using engineered copper oxide, implying improved environmental safety management.
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.
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林佳蓁 et al. (2026) studied this question.
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