On-site Food Authenticity Testing: Advances in Miniaturization of Spectrometers and Machine Learning
KRISHI: Publication and Data Inventory Repository
View Archive InfoField | Value | |
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. Not Available |
|
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
|
|