Chapter 10: Amalgamation of Nanosensors and AI Technology for Food Safety Check Access
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Published:27 Jun 2025
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Special Collection: 2025 eBook Collection
V. Kumar, D. Umrao, P. Bisht, and S. Fatima, in AI Applications in Food Processing and Packaging, ed. A. K. Shukla, Royal Society of Chemistry, 2025, ch. 10, pp. 214-250.
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Food security protocols to understand rapid changes in the food supply chain system, food recipes and habitat attract significant attention in the developing world. Our environment is surrounded with various contaminants which make our food supply chain weaker by harming food commodities and have a direct impact on human health in the form of food poisoning or other adverse effects. The food industry requires large amounts of money to control and monitor different unhealthy analytes in food attributes and, consequently, faces huge losses in managing extra work to detect specific contaminant causing agents by conventional methods, as these are time consuming and require specific sophisticated instruments, trained professionals and laborious protocol steps. To overcome this, nanotechnology plays a crucial role in solving food security and supply chain issues regarding the detection of contaminants like pathogens and toxin producing microorganisms, heavy metals, adulterants, additives, fertilizers and pesticide residue compositions in different food samples. In this chapter, the authors deeply discuss the application of different nanosensors to analyze and monitor the mentioned contaminants in different food samples during processing, storage and supply chains. Furthermore, potentiometric/calorimetry/amperometric/ion sensitive, HCR biosensors developed by using nanoparticles like metal oxide/silver nanoparticles/quantum dots/carbon nanotubes and their mechanisms are also discussed in detail. In addition, all applications are discussed highlighting the action and basic principles of nanosensors, advantages, simplicity and specificity with the sensitivity with different food samples. Moreover, the integration of nanosensors with artificial intelligence in order to analyze and ensure food safety is discussed.