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中国精品科技期刊2020
闫灵芝. 侧流免疫层析技术在食品安全检测中的研究进展[J]. 食品工业科技,2022,43(4):1−11. doi: 10.13386/j.issn1002-0306.2021070031.
引用本文: 闫灵芝. 侧流免疫层析技术在食品安全检测中的研究进展[J]. 食品工业科技,2022,43(4):1−11. doi: 10.13386/j.issn1002-0306.2021070031.
YAN Lingzhi. Research Progress of Lateral Flow Immunoassay in Food Safety[J]. Science and Technology of Food Industry, 2022, 43(4): 1−11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070031.
Citation: YAN Lingzhi. Research Progress of Lateral Flow Immunoassay in Food Safety[J]. Science and Technology of Food Industry, 2022, 43(4): 1−11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070031.

侧流免疫层析技术在食品安全检测中的研究进展

Research Progress of Lateral Flow Immunoassay in Food Safety

  • 摘要: 侧流免疫层析技术(lateral flow immunoassay, LFIA)不仅有效结合了层析技术的分离能力和免疫分析的高度特异性,而且操作简单、检测快速、价格低廉,为食品安全现场检测提供了一种理想的技术平台。常规的LFIA主要以纳米金颗粒作为信号标记材料,该种方法检测灵敏度相对较低,仅能满足定性和半定量检测。为了提高LFIA的检测性能,近年来研究者做了大量的努力。本文总结了LFIA的检测原理及其在在信号标记材料、信号增强方式、多元分析物同时检测、信号读出方式等方面的技术改进,并讨论了LFIA现有的不足以及未来的发展方向,以期为我国食品安全快速检测的发展提供技术参考。

     

    Abstract: lateral flow immunoassay (LFIA) not only effectively combines the separation ability of chromatography technology and the excellent specificity of immunoassay methods, but also provides an ideal platform for the on-site detection of food safety with advantages of easy operation, rapid detection and low cost. Gold nanoparticle is a commonly used signal label in the field of LFIA analysis. Unfortunately, conventional gold-based LFIA often suffers from drawbacks of low sensitivity, which can only satisfy qualitative and semi-quantitative information on analyte concentrations. To improve the detection performance of LFIA, researchers have made significant efforts. In this contribution, the basic principle of LFIA is introduced and the recent technical improvements are systematically summarized, such as developing novel signal nanoparticles, signal enhancement method, multiplex target detection and different signal readout mode, etc. Meanwhile, this study discusses the shortcomings and the trend of LFIA, which would provide technical references for the development of rapid detection methods for food safety in China.

     

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