Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions

Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions

Discrimination of honey based on geographical origin is a common fraudulent practice and is one of the most investigated topics in honey authentication. This research aims to discriminate honeys according to their geographical origin by combining elemental fingerprinting with machine-learning techni...

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Bibliographic Details
Main Authors: Andrea Mara, Matteo Migliorini, Marco Ciulu, Roberto Chignola, Carla Egido, Oscar Núñez, Sònia Sentellas, Javier Saurina, Marco Caredda, Mario A. Deroma, Sara Deidda, Ilaria Langasco, Maria I. Pilo, Nadia Spano, Gavino Sanna
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Foods
Subjects:
honey
geographical classification
botanical classification
elements
ICP-MS
Online Access:https://www.mdpi.com/2304-8158/13/2/243

Internet

https://www.mdpi.com/2304-8158/13/2/243

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