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基于纳米材料的可视化比色检测技术在食源性致病菌检测中的应用研究进展

  • 周静 ,
  • 田风玉 ,
  • 焦必宁 ,
  • 何悦
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  • 1(西南大学,柑桔研究所,重庆,400712)
    2(农业部柑桔及苗木质量监督检验测试中心,重庆,400712)

收稿日期: 2019-01-15

  网络出版日期: 2019-07-08

基金资助

国家自然科学基金(21405125);国家农产品质量安全风险评估重大专项(GJFP2018013,GJFP2018004,GJFP2017 013,GJFP2017004)

Applications of visual colorimetric detection methods based onnanomaterials in detecting foodborne pathogens

  • ZHOU Jing ,
  • TIAN Fengyu ,
  • JIAO Bining ,
  • HE Yue
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  • 1(Citrus Research Institute, Southwest University, Chongqing 400712, China)
    2(Quality Supervision and Testing Centre for Citrus and Seedling, Ministry of Agriculture, Chongqing 400712, China)

Received date: 2019-01-15

  Online published: 2019-07-08

摘要

食源性致病菌是一类以食物为载体,引起人体急、慢性中毒,给人们的生命健康带来损害的致病性细菌。传统的食源性致病菌检测方法通常耗时费力且价格昂贵。基于纳米材料的可视化比色检测技术灵敏度高、特异性强、操作简单、快速可靠,引起了人们的广泛关注。一些纳米材料具有类似过氧化物酶的活性,在其表面性质发生改变后会发生相应的颜色变化,还有一些自身色彩明艳的纳米材料,可通过特异性结合在食源性致病菌的表面实现比色信号的放大。该文综述了近几年基于纳米材料的可视化比色检测技术在食源性致病菌中的应用及这些可视化比色检测技术的优缺点,以期对新的可视化比色检测技术的构建和开发提供参考。

本文引用格式

周静 , 田风玉 , 焦必宁 , 何悦 . 基于纳米材料的可视化比色检测技术在食源性致病菌检测中的应用研究进展[J]. 食品与发酵工业, 2019 , 45(11) : 259 -267 . DOI: 10.13995/j.cnki.11-1802/ts.019960

Abstract

Foodborne pathogens are a major threat to human health, as they are responsible for many acute and chronic foodborne diseases. Traditional techniques to detect foodborne pathogens are time-consuming, labor-intensive and expensive, which limit their applications. In comparison, visual detection techniques based on nanomaterials have distinctive advantages, including high sensitivity, high specificity, simple operation, fast and reliable. Some nanomaterials have peroxidase-like activity and some nanomaterials have bright colors and can specifically bind to the surface of bacteria to achieve visual detection by amplifying colorimetric signals. Besides, some nanomaterials also change colors when their surface properties changed. This paper reviewed recent applications of nanomaterials-based visual detection techniques in detecting foodborne pathogens, and the advantages and disadvantages of different types of visualization detection techniques were also highlighted. This review aimed to provide a reference for constructing and developing new visualization techniques.

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