Identifying type of sugar adulterants in honey: Combined application of NMR spectroscopy and supervised machine learning classification

Identifying type of sugar adulterants in honey: Combined application of NMR spectroscopy and supervised machine learning classification

Nuclear magnetic resonance (NMR) is a powerful analytical tool which can be used for authenticating honey, at chemical constituent levels by enabling identification and quantification of the spectral patterns. However, it is still challenging, as it may be a person-centric analysis or a time-consumi...

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Bibliographic Details
Main Authors: Kavitha Rachineni, Veera Mohana Rao Kakita, Neeraj Praphulla Awasthi, Vrushali Siddesh Shirke, Ramakrishna V. Hosur, Satish Chandra Shukla
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Current Research in Food Science
Subjects:
Honey
Sugar Adulteration
NMR
Supervised classification
Machine learning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927122000089

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http://www.sciencedirect.com/science/article/pii/S2665927122000089

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