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A polyoxometalate-based heterojunction nanozyme with peroxidase-mimic catalytic activity for sensitive biomolecule detection

Nanozymes are a class of nanomaterials that can specifically mimic the structures and catalytic activities as well as overcome limitations of natural enzymes and have hence been considered as a competitive alternative to natural enzymes. At present, plenty of nanozymes, especially those with peroxid...

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Detalles Bibliográficos
Autores principales: Du, Guobo, Lv, Mingzhu, Wang, Huan, Liu, Chenghui, Xu, Qiqi, Liu, Jiajie, Yang, Zhu, Yong, Yuan, Han, Yunwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: RSC 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367954/
https://www.ncbi.nlm.nih.gov/pubmed/37496617
http://dx.doi.org/10.1039/d3na00210a
Descripción
Sumario:Nanozymes are a class of nanomaterials that can specifically mimic the structures and catalytic activities as well as overcome limitations of natural enzymes and have hence been considered as a competitive alternative to natural enzymes. At present, plenty of nanozymes, especially those with peroxidase (POD)-like catalytic activity, have been extensively explored for biosensing. In this work, we proposed polyoxometalate-based heterojunction GdP(5)W(30)O(110)@WS(2) nanoclusters (NCs) to exert intrinsic POD-like catalytic activity even under harsh catalytic conditions. Detailedly, GdP(5)W(30)O(110)@WS(2) NCs possessing conducive POD-like catalytic activity can oxidize chromogenic substrates into colored substances in the presence of H(2)O(2). On the strength of the POD-like catalytic activity of GdP(5)W(30)O(110)@WS(2) NCs, a reliable analytical platform is then constructed after the optimization of catalytic conditions for the detection of H(2)O(2), glutathione (GSH) and glucose via a simple TMB colorimetric strategy. This work advances the utilization of versatile polyoxometalate-based nanomaterials for biosensing, dramatically broadening the potential applications of other nanozyme-based biosensors.