Machine Learning Algorithms Applied to Semi-Quantitative Data of the Volatilome of Citrus and Other Nectar Honeys with the Use of HS-SPME/GC–MS Analysis, Lead to a New Index of Geographical Origin Authentication

The scope of the current study was to monitor if semi-quantitative data of volatile compounds (volatilome) of citrus honey (ch) produced in different countries could potentially lead to a new index of citrus honey authentication using specific ratios of the identified volatile compounds in combinati...

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Bibliographic Details

Published in:	Foods
Main Authors:	Ioannis Konstantinos Karabagias, Gulzar Ahmad Nayik
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	citrus honey volatiles characterization machine learning discrimination new index
Online Access:	https://www.mdpi.com/2304-8158/12/3/509