Applications of visual colorimetric detection methods based onnanomaterials in detecting foodborne pathogens
ZHOU Jing1,2, TIAN Fengyu1,2, JIAO Bining1,2*, HE Yue1,2*
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)
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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2019, Vol. 45 
