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Review | Publishing Language: Chinese | Open Access

A Review on the Application of Fluorescence Sensors Based on Fluorescence Resonance Energy Transfer Effect for Mycotoxins Detection

Meijun LU1 Tianlin WANG1Tiange LI1Mingwu QIAO1Yan MA1Xianqing HUANG1Jialin FAN2 ( )Lianjun SONG1 ( )
School of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
Institute of Isotope Research, Henan Academy of Sciences, Zhengzhou 450002, China
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Abstract

Mycotoxins are highly toxic and carcinogenic to humans and animals, and mycotoxin pollution in foods is difficult to prevent and control, which has sparked increasing concern. Therefore, it is necessary to detect mycotoxins in foods. Traditional mycotoxin detection methods, although accurate and reliable, require expensive equipment and long detection time, which do not meet the requirements of the rapid detection of mycotoxins. Thus, it is necessary to develop fast, sensitive, accurate, and economical methods for detecting mycotoxins. Fluorescent sensors based on the fluorescence resonance energy transfer (FRET) effect are widely used in the detection industry because of their simple operation, fast reaction speed, reliable results and low cost. This article mainly introduces the detection mechanism of fluorescence sensors based on the FRET effect, summarizes their applications in mycotoxin detection, and proposes existing problems and an outlook for future development trends, in order to provide a reference for the design of novel fluorescence sensors and the optimization of the sensitivity of mycotoxin detection.

CLC number: TS207.3 Document code: A Article ID: 1002-6630(2024)11-0293-08

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Food Science
Pages 293-300

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Cite this article:
LU M, WANG T, LI T, et al. A Review on the Application of Fluorescence Sensors Based on Fluorescence Resonance Energy Transfer Effect for Mycotoxins Detection. Food Science, 2024, 45(11): 293-300. https://doi.org/10.7506/spkx1002-6630-20230619-149

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Received: 19 June 2023
Published: 15 June 2024
© Beijing Academy of Food Sciences 2024.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).