Location: Quality & Safety Assessment ResearchTitle: Recent Advancements in Nanobioassays and Nanobiosensors for Foodborne Pathogenic Bacteria Detection Author
|Chen, Jing - Oak Ridge Institute For Science And Education (ORISE)|
Submitted to: Journal of Food Protection
Publication Type: Review Article
Publication Acceptance Date: 1/31/2016
Publication Date: 6/1/2016
Citation: Chen, J., Park, B. 2016. Recent Advancements in Nanobioassays and Nanobiosensors for Foodborne Pathogenic Bacteria Detection. Journal of Food Protection. 79(6):1055-1069.
Interpretive Summary: none.
Technical Abstract: Bacterial pathogens are one of the leading causes of food safety incidents and product recalls worldwide. Timely detection and identification of microbial contamination in agricultural and food products is crucial for disease prevention and outbreak investigation. Current gold standards are specific and sensitive but time-consuming and labor-intensive. Many alternative methods have been proposed in the past 15 years to reduce detection time and simplify the procedures. In recent years there has been a trend to incorporate nanotechnology and nanomaterials in foodborne pathogen detection. Nanotechnology deals with materials that are less than 100 nanometers (10-9 m) in size which possess unique physical and chemical properties due to the small size. These unique properties can be utilized to enable novel applications in both sensing techniques and food sample preparation, which can potentially lead to faster, simpler, more sensitive pathogen detection at lower costs. The objective of this article is to provide an overview of nanotechnology applications in foodborne pathogen detection and identify gaps between research status quo and market demands for food safety researchers. Various detection techniques (optical, electrochemical, piezoelectric, and spectrometry methods) and sample preparation techniques as well as their applications in food matrices are reviewed. Nanotechnology-enabled portable and miniaturized detection devices are discussed separately. Some practical considerations in designing nanotechnology-based detection methods are also discussed.