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Manganese-doped iron coordination polymer nanoparticles with enhanced peroxidase-like activity for colorimetric detection of antioxidants.

Authors :
Zhang, Chenghui
Zhang, Xingfeng
Ye, Yu
Ni, Pengjuan
Chen, Chuanxia
Liu, Wendong
Wang, Bo
Jiang, Yuanyuan
Lu, Yizhong
Source :
Analyst. 1/21/2022, Vol. 147 Issue 2, p238-246. 9p.
Publication Year :
2022

Abstract

A convenient and sensitive antioxidant assay with high performance is essential for assessing food quality and monitoring the oxidative stress level of biological matrices. Although coordination polymer nanoparticles (CPNs)-based nanozymes have emerged as candidates in the analytical field, strategies to improve the catalytic activity of CPNs have been scarcely revealed and studied. Herein, we demonstrate a manganese (Mn) doping strategy to enhance the peroxidase-mimetic activity of Fe-based CPNs. By tuning the Mn doping amounts and selecting 2,5-dihydroxyterephthalic acid (H4DHTP) as ligands, the produced nanozymes in amorphous state followed the catalytic activity order of Fe5Mn-DHTP > Fe8Mn-DHTP > Fe2Mn-DHTP > Fe-DHTP > Mn-DHTP. Ulteriorly, benefitting from the best catalytic performance and definite catalytic mechanism of Fe5Mn-DHTP, versatile colorimetric assays for ultrasensitive detection of one exogenous antioxidant (ascorbic acid, AA) and two endogenous antioxidants (glutathione, GSH; cysteine, Cys) have been deftly devised based on the inhibition of the 3,3′,5,5′-tetramethylbenzidine chromogenic reaction in presence of H2O2. It was found that mercaptan (GSH and Cys) and AA exhibited different inhibition mechanisms. Practically, such a colorimetric assay was viable to determine the total antioxidant capacity of drugs and foods with desirable results. This work proposes a feasible strategy for embellishing CPN nanozymes used for designing sensitive and convenient assays for various antioxidants based on an explicit detection mechanism. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00032654
Volume :
147
Issue :
2
Database :
Academic Search Index
Journal :
Analyst
Publication Type :
Academic Journal
Accession number :
154715063
Full Text :
https://doi.org/10.1039/d1an01953h