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Enhancing reliability for AFB1 analysis in food: Ratiometric fluorescence/colorimetric dual-modal analysis platform using multifunctional GO-Fe 3 O 4 .

Authors :
Ma X
Xu N
Yan X
Guo N
Yang C
Sun C
Li H
Source :
Biosensors & bioelectronics [Biosens Bioelectron] 2024 Nov 01; Vol. 263, pp. 116594. Date of Electronic Publication: 2024 Jul 20.
Publication Year :
2024

Abstract

Adsorption of DNA fluorescent probes on GO-Fe <subscript>3</subscript> O <subscript>4</subscript> is a promising strategy for establishing fluorescent bioassays, often using magnetic separation or fluorescence quenching to generate signals. However, there is a lack of systematic understanding of ssDNA-regulated changes in the enzyme-mimetic activity of GO-Fe <subscript>3</subscript> O <subscript>4</subscript> , and the accuracy of the results of single-mode fluorescence analysis is susceptible to environmental interference. These limit the rational design and scope of application of the methods. Herein, the force and the catalytic mechanism of ssDNA/GO-Fe <subscript>3</subscript> O <subscript>4</subscript> interactions were explored in detail. On this basis, a ratiometric fluorescence/colorimetric dual-modal analysis platform was constructed based on the superparamagnetism and DNA controllable peroxidase-like activity of GO-Fe <subscript>3</subscript> O <subscript>4</subscript> . The ratiometric fluorescent signal was generated by combining 7-amino-4-methyl-3-coumarinylacetic acid (AMCA) labeled aptamer (AMCA-aptamer) with AT hairpin-synthesized copper nanoparticles, which has built-in correction and resistance to environmental interference. The aptamer-modulated peroxidase-like activity of GO-Fe <subscript>3</subscript> O <subscript>4</subscript> generated the colorimetric signal. Two signals correct each other to further enhance the reliability of the results. The analytical platform performed satisfactorily for AFB1 detection in the range of 0.1-150 μg/L, and was successfully applied to real samples (peanut, milk powder, and wheat flour). With the support of ImageJ software, quantitative detection was achieved by RGB channel analysis for real-color images, which provides a potential pathway for the rapid detection of food safety.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-4235
Volume :
263
Database :
MEDLINE
Journal :
Biosensors & bioelectronics
Publication Type :
Academic Journal
Accession number :
39084043
Full Text :
https://doi.org/10.1016/j.bios.2024.116594