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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Detalles Bibliográficos
Autores principales: Karabagias, Ioannis Konstantinos, Nayik, Gulzar Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914582/
https://www.ncbi.nlm.nih.gov/pubmed/36766038
http://dx.doi.org/10.3390/foods12030509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914582/
https://www.ncbi.nlm.nih.gov/pubmed/36766038
http://dx.doi.org/10.3390/foods12030509

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