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Co-amplification of luminol-based electrochemiluminescence immunosensors based on multiple enzyme catalysis of bimetallic oxides CoCeOx and NiMnO3 for the detection of CYFRA21-1.

Authors :
Zhang, Jingjing
Li, Min
Fang, Jinglong
Wang, Caihong
Liu, Lei
Cao, Wei
Wei, Qin
Source :
Analyst. 7/21/2023, Vol. 148 Issue 14, p3371-3378. 8p.
Publication Year :
2023

Abstract

The accelerated energy supply of co-reactants is an extremely effective strategy for achieving highly sensitive electrochemiluminescence analysis, and binary metal oxides would be an excellent tool for this purpose owing to the nano-enzyme acceleration of mixed metal valence states. Herein, an electrochemiluminescent (ECL) immunosensor for monitoring the concentration of cytokeratin 19 fragment antigen 21-1 (CYFRA21-1) was developed based on a co-amplification strategy triggered by two bimetallic oxides, CoCeOx and NiMnO3, with luminol as the luminophore. CoCeOx derived from an MOF exhibits a large specific surface area and excellent loading capacity as a sensing substrate, and the peroxidase properties enable the catalysis of hydrogen peroxide to provide energy supply to the underlying radicals. The dual enzymatic properties of flower-like NiMnO3 were employed as probe carriers for luminol enrichment. The peroxidase properties built on Ni2+/Ni3+ and Mn3+/Mn4+ binary redox pairs resulted in the integration of highly oxidative hydroxyl radicals, and the oxidase properties provided additional superoxide radicals via dissolved oxygen. The practically proven multi-enzyme-catalyzed sandwich-type ECL sensor easily accomplished an accurate immunoassay of CYFRA21-1, harvesting a detection limit of 0.3 pg mL−1 in the linear range of 0.001–150 ng mL−1. In conclusion, this work explores the cyclic catalytic amplification of mixed-valence binary metal oxides with nano-enzyme activity in the field of ECL and develops an effective pathway for ECL immunoassay. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00032654
Volume :
148
Issue :
14
Database :
Academic Search Index
Journal :
Analyst
Publication Type :
Academic Journal
Accession number :
164797728
Full Text :
https://doi.org/10.1039/d3an00753g