Authors
Junjian Lu, Jiawei Yang, Yixuan Wang, Shaoyi Chen, Ziyan Xue, Kang Lin, Jin Wang, Chen Wang
Published in
Advanced healthcare materials. Oct 25, 2026. Epub Oct 25, 2026.
Abstract
Deciphering structurally similar thiol analogues is vital for disease diagnosis, yet conventional one-to-one sensing strategies are intrinsically bottlenecked by signal cross-interference. Herein, we report an in situ reconstructed interfacial oxygen vacancies engineering strategy to prepare vacancy-rich Pt-CeO2 nanozymes for intelligent thiol differentiation. By combining incipient wetness impregnation with subsequent H2 reduction, isolated Pt single atoms were transformed into uniformly dispersed Pt clusters on CeO2 nanorods, simultaneously inducing abundant oxygen vacancies and dynamically coupled Pt-CeO2 interfaces. The optimized nanozyme exhibited significantly enhanced peroxidase-like catalytic activity over its single-atom state or directly deposited cluster counterparts. Crucially, the boosted catalytic kinetics significantly amplified the subtle response discrepancies among different thiols, yielding highly resolved time-dependent fingerprints. By integrating these distinct kinetic profiles with multivariate statistical analysis and predictive machine learning models, accurate differentiation of thiol species, complex multicomponent mixtures and clinical serum samples was achieved. This work not only provides insights into reconstruction-induced interfacial defect engineering but also establishes an effective framework for intelligent kinetic sensing in early disease screening.
PMID:
42926361
Bibliographic data and abstract were imported from PubMed on 25 Oct 2026.
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