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ZnO-Co3O4 Nanofibers/MXene Composite with Peroxidase-Like Activity for Ascorbic Acid Detection
Journal article   Open access   Peer reviewed

ZnO-Co3O4 Nanofibers/MXene Composite with Peroxidase-Like Activity for Ascorbic Acid Detection

Murilo H. M. Facure, Luiza A. Mercante, Yury Gogotsi and Daniel S. Correa
ACS applied nano materials
13 Apr 2024
url
https://doi.org/10.1021/acsanm.4c00539View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Materials Science, Multidisciplinary Nanoscience & Nanotechnology Science & Technology Science & Technology - Other Topics Materials Science Technology
The growing concern about nutrient-rich diets and health monitoring has motivated the search for simple, fast, and effective methods for detecting important nutrients in foodstuffs. In this scenario, colorimetric detection using nanostructures presenting enzymatic properties (nanozymes) has gained prominence due to its experimental simplicity and low cost. In this work, zinc oxide-cobalt oxide electrospun nanofibers (ZnO-Co3O4 NFs) were combined with titanium carbide (Ti3C2Tx) MXene for the colorimetric detection of ascorbic acid. The nanocomposite (ZnO-Co3O4 NFs/Ti3C2Tx) presented peroxidase-like activity with a high affinity for the chromogenic substrate 3,3,5,5-tetramethylbenzidine and fast reaction kinetics. Taking advantage of the catalytic properties of the developed nanocomposite, ascorbic acid was detected with high sensitivity (the limit of detection was 0.58 mu mol L-1) and selectivity, even in the presence of common interferents. The colorimetric sensor even detected ascorbic acid in orange juice, revealing its potential to be used as a reliable and sensitive portable method for food analysis.

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Materials Science, Multidisciplinary
Nanoscience & Nanotechnology
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