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On-site Food Authenticity Testing: Advances in Miniaturization of Spectrometers and Machine Learning

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Title On-site Food Authenticity Testing: Advances in Miniaturization of Spectrometers and Machine Learning
Not Available
 
Creator Niladri S. Chatterjee
Lekshmi R. G. K.
Devananda Uchoi
Kaushik Banerjee
Pankaj Kishore
Minimol, V. A.
Panda, S. K.
Suseela Mathew
Ravishankar, C. N.
 
Subject Not Available
 
Description Chapter 10 of Book "Advanced Spectroscopic Techniques for Food Quality"
Food fraud is a serious issue for the global food supply chain, with far-reaching social, economic and public health consequences. The European Committee for Standardization (CEN) defines food fraud as an intentional false claim about the characteristics of a food product. In general, food fraud comprises substitution or dilution of a high-value component of a product, counterfeiting of a genuine product, economically motivated mislabelling and concealment of product information such as species identity and geographical origin, enhancement by adding undeclared substances and selling a genuine product on the grey market.
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Date 2023-06-13T09:23:20Z
2023-06-13T09:23:20Z
2022-05-20
 
Type Book chapter
 
Identifier Niladri S. Chatterjee, Lekshmi R. G. K., Devananda Uchoi, Kaushik Banerjee, Pankaj Kishore, Minimol, V. A., Panda, S. K., Suseela Mathew and Ravishankar, C. N. (2022) On-site Food Authenticity Testing: Advances in Miniaturization of Spectrometers and Machine Learning. In: Ashutosh Kumar Shukla(eds) Advanced Spectroscopic Techniques for Food Quality. pp 211-241. https://doi.org/10.1039/9781839165849-00211
978-1-83916-404-0
http://krishi.icar.gov.in/jspui/handle/123456789/78259
 
Language English
 
Relation Not Available;
 
Publisher Royal Society of Chemistry