The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Nanomaterial-based sensors for detection of foodborne bacterial pathogens and toxins as well as pork adulteration in meat products
Open accessAbstract
Food safety draws considerable attention in the modern pace of the world owing to rapid-changing food recipes and food habits. Foodborne illnesses associated with pathogens, toxins, and other contaminants pose serious threat to human health. Besides, a large amount of money is spent on both analyses and control measures, which causes significant loss to the food industry. Conventional detection methods for bacterial pathogens and toxins are time consuming and laborious, requiring certain sophisticated instruments and trained personnel. In recent years, nanotechnology has emerged as a promising field for solving food safety issues in terms of detecting contaminants, enabling controlled release of preservatives to extend the shelf life of foods, and improving food-packaging strategies. Nanomaterials including metal oxide and metal nanoparticles, carbon nanotubes, and quantum dots are gaining a prominent role in the design of sensors and biosensors for food analysis. In this review, various nanomaterial-based sensors reported in the literature for detection of several foodborne bacterial pathogens and toxins are summarized highlighting their principles, advantages, and limitations in terms of simplicity, sensitivity, and multiplexing capability. In addition, the application through a noncross-linking method without the need for any surface modification is also presented for detection of pork adulteration in meat products.
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Citations
Cites
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
Cited by
Nanotechnology in food science: Functionality, applicability, and safety assessment
He, X., & Hwang, H.-M. (2016) · Journal of Food and Drug Analysis · doi:10.1016/j.jfda.2016.06.001 · Cited by 474
Metadata
- Authors
- Stephen Inbaraj, B., & Chen, B. H.
- Venue
- Journal of Food and Drug Analysis
- Published
- 2016-01
- Volume
- 24
- Issue
- 1
- Pages
- 15-28
- ISSN
- 1021-9498 (ISSN-L)
- OpenAlex
- W1003083253
- Cited by
- 255
- References
- 1
- FWCI
- 10.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Stephen Inbaraj, B., & Chen, B. H. (2016). Nanomaterial-based sensors for detection of foodborne bacterial pathogens and toxins as well as pork adulteration in meat products. Journal of Food and Drug Analysis. https://doi.org/10.1016/j.jfda.2015.05.001
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