同时检测食品中几种真菌毒素的多重侧流免疫分析

IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Trends in Food Science & Technology Pub Date : 2025-02-01 Epub Date: 2024-12-26 DOI:10.1016/j.tifs.2024.104858
Shipeng Gao , Zhangkun Wei , Xueyun Zheng , Tianxing Wang , Xiaowei Huang , Tingting Shen , Di Zhang , Zhiming Guo , Yang Zhang , Xiaobo Zou
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引用次数: 0

摘要

真菌毒素是次生代谢产物,对人类健康构成严重威胁。真菌毒素污染很可能发生在植物性食品基质的收获前和收获后阶段。此外,多种真菌毒素在单一食品中同时出现的频率很高,由于多种真菌毒素不可缺少的积累,导致毒性增强。因此,开发同时检测几种真菌毒素的多种方法对于评估食品基质中真菌毒素污染的存在变得越来越重要,然而现有的方法在护理点和成本效益方面受到挑战。横向流动免疫测定法(LFIAs)以其便携性和可负担性而闻名,在同时检测食物基质中几种真菌毒素方面的进展和应用在本文中进行了综述。从条带结构、生物识别元件、纳米标签和便携式读出装置等方面讨论了构建多路LFIAs的要素。总结了有助于提高检测灵敏度的信号放大策略和旨在提高检测可靠性的样品预处理方法。强调了在食品样品中多种真菌毒素的高通量测定方面的应用,特别注意比色法、荧光法和SERS模式。并对多路LFIAs检测条带的空间排列、免疫探针组成和信号转导方法的选择和优化进行了展望。基于多路lfia的食品中真菌毒素高通量监测在可负担性、便携性、快速性、灵敏度、可靠性和对真实食品样品的适用性方面优于传统方法。希望看到LFIAs与其他分析平台的整合,以促进快速和定量的多重真菌毒素筛选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Multiplexed lateral-flow immunoassays for the simultaneous detection of several mycotoxins in foodstuffs

Background

Mycotoxins are secondary metabolites that present a great threat to human health. Mycotoxin contamination is probable to occur during both the pre-harvesting and post-harvesting stage of plant-based food matrices. Additionally, the co-occurring of various types of mycotoxins within a single foodstuff exhibits great frequency, leading to enhanced toxicity due to the indispensable accumulation of multiple mycotoxins. Therefore, the development of multiplex methods for simultaneously detecting several mycotoxins is becoming increasingly important in evaluating the presence of mycotoxin contamination in food matrices, yet the existing approaches are challenged with point-of-care and cost-effective.

Scope and approach

The advancements and applications of lateral-flow immunoassays (LFIAs), which are known for their portability and affordability, in the simultaneous detection of several mycotoxins in food matrices are summarized in this review. The elements of constructing multiplexed LFIAs in terms of strip structure, biorecognition elements, nanotags, and portable readout devices are discussed. Signal amplification strategies contributing to improved detection sensitivity and sample pretreatment approaches targeting increased detection reliability are summarized. Applications regarding the high-throughput determination of multiple mycotoxins in food samples are highlighted, with special attention being paid to colorimetric, fluorescence, and SERS modes. Further prospectives regarding the selection and optimization of the spatial arrangement of detection strips, immunoprobe compositions, and signal transduction methods of multiplexed LFIAs are proposed.

Key findings and conclusions

Multiplexed LFIA-based high-throughput monitoring of mycotoxins in foodstuffs demonstrates superior capabilities over traditional approaches considering affordability, portability, rapidity, sensitivity, reliability, and applicability to real food samples. It is desirable to witness the integration of LFIAs with other analytical platforms to facilitate rapid and quantitative multiplexed mycotoxins screening.
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来源期刊
Trends in Food Science & Technology
Trends in Food Science & Technology 工程技术-食品科技
CiteScore
32.50
自引率
2.60%
发文量
322
审稿时长
37 days
期刊介绍: Trends in Food Science & Technology is a prestigious international journal that specializes in peer-reviewed articles covering the latest advancements in technology, food science, and human nutrition. It serves as a bridge between specialized primary journals and general trade magazines, providing readable and scientifically rigorous reviews and commentaries on current research developments and their potential applications in the food industry. Unlike traditional journals, Trends in Food Science & Technology does not publish original research papers. Instead, it focuses on critical and comprehensive reviews to offer valuable insights for professionals in the field. By bringing together cutting-edge research and industry applications, this journal plays a vital role in disseminating knowledge and facilitating advancements in the food science and technology sector.
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