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Cited by 255

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Nanomaterial-based sensors for detection of foodborne bacterial pathogens and toxins as well as pork adulteration in meat products

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Stephen Inbaraj, B., Chen, B.H.·2016·Journal of Food and Drug Analysis

Abstract

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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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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CoChat. (2026). Citation check: Nanomaterial-based sensors for detection of foodborne bacterial pathogens and toxins as well as pork adulteration in meat products. https://app.cochat.ai/papers/10.1016/j.jfda.2015.05.001
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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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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