Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning

Honey is one of the most adulterated foods, usually through the addition of sweeteners or low-cost honeys. This study presents a method based on visible near infrared spectroscopy (Vis-NIRs), in combination with machine learning (ML) algorithms, for the correct identification and quantification of a...

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Detalles Bibliográficos
Autores principales: Calle, José Luis P., Punta-Sánchez, Irene, González-de-Peredo, Ana Velasco, Ruiz-Rodríguez, Ana, Ferreiro-González, Marta, Palma, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340210/
https://www.ncbi.nlm.nih.gov/pubmed/37444229
http://dx.doi.org/10.3390/foods12132491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340210/
https://www.ncbi.nlm.nih.gov/pubmed/37444229
http://dx.doi.org/10.3390/foods12132491

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