Hollow NiCo@C Nanozyme-Embedded Paper-Based Colorimetric Aptasensor for Highly Sensitive Antibiotic Detection on a Smartphone Platform

Antibiotic residues in the environment and in foods pose a serious threat to ecosystems and human health. Developing sensitive and on-site detection methods is therefore in high demand. In this work, a portable paper-based colorimetric sensor with a smartphone platform with an ultrahigh sensitivity...

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Published inAnalytical chemistry (Washington) Vol. 94; no. 48; pp. 16768 - 16777
Main Authors Zhu, Xu, Tang, Jing, Ouyang, Xilian, Liao, Yibo, Feng, Haopeng, Yu, Jiangfang, Chen, Li, Lu, Yating, Yi, Yuyang, Tang, Lin
Format Journal Article
LanguageEnglish
Published United States American Chemical Society 06.12.2022
Subjects
Anti-Bacterial Agents - analysis
Antibiotics
Aptamers
Bimetals
Biochips
Biosensing Techniques - methods
Chemistry
Colorimetry
Colorimetry - methods
Ecosystem
Enrofloxacin
Food
Humans
Hydrogen peroxide
Hydrogen Peroxide - analysis
Intermetallic compounds
Limit of Detection
Onsite
Oxidation
Peroxidase
Residues
Smartphone
Smartphones
Substrates
Target recognition
Visual signals
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Summary:Antibiotic residues in the environment and in foods pose a serious threat to ecosystems and human health. Developing sensitive and on-site detection methods is therefore in high demand. In this work, a portable paper-based colorimetric sensor with a smartphone platform with an ultrahigh sensitivity has been designed for on-site and quantitative analysis of antibiotic residues based on aptamer-regulated nanozyme activity. The developed excellent peroxidase-like nanozymes, carbon-protected NiCo bimetal oxides with a unique hollow nanocage structure (NiCo@C HCs), could effectively catalyze the oxidation of chromogenic substrates by H2O2. Once bound to a specific aptamer, the enzyme-mimicking activity of NiCo@C HCs is obviously inhibited as a result of the masking of active sites but could be restored via the target-aptamer recognition. Herein, the aptamer-modified NiCo@C HCs are embedded on paper pieces to construct paper-based biochips for visual detection. Meanwhile, a smartphone platform is integrated for the signal readout. Using enrofloxacin (ENR) as an analyte model, the proposed paper-based analysis platform shows a reliable and sensitive detection of ENR with an ultralow detection limit of 0.029 ng/mL. The platform also works well in various real samples. This analysis method is facile in design, showing a great application potential for on-site and mass screening of antibiotic residues in the environment and in foods.
ISSN:0003-2700
1520-6882
DOI:10.1021/acs.analchem.2c03603