Classification of Unifloral Honeys from SARDINIA (Italy) by ATR-FTIR Spectroscopy and Random Forest

Nowadays, the mislabeling of honey floral origin is a very common fraudulent practice. The scientific community is intensifying its efforts to provide the bodies responsible for controlling the authenticity of honey with fast and reliable analytical protocols. In this study, the classification of va...

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Bibliographic Details
Published in:Molecules (Basel, Switzerland) Switzerland), 2020-12, Vol.26 (1), p.88
Main Authors: Ciulu, Marco, Oertel, Elisa, Serra, Rosanna, Farre, Roberta, Spano, Nadia, Caredda, Marco, Malfatti, Luca, Sanna, Gavino
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
asphodel
attenuated total reflectance
Carbohydrates
Chromatography
Classification
Eucalyptus
Functional foods & nutraceuticals
Honey
honey discrimination
Infrared spectra
Infrared spectroscopy
Machine learning
Mass spectrometry
Phenolic compounds
Phenols
Scientific imaging
Spectroscopy
Strawberries
strawberry-tree
thistle
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Summary:Nowadays, the mislabeling of honey floral origin is a very common fraudulent practice. The scientific community is intensifying its efforts to provide the bodies responsible for controlling the authenticity of honey with fast and reliable analytical protocols. In this study, the classification of various monofloral honeys from Sardinia, Italy, was attempted by means of ATR-FTIR spectroscopy and random forest. Four different floral origins were considered: strawberry-tree ( L.), asphodel ( ), thistle ( ), and eucalyptus ( ). Training a random forest on the infrared spectra allowed achieving an average accuracy of 87% in a cross-validation setting. The identification of the significant wavenumbers revealed the important role played by the region 1540-1175 cm and, to a lesser extent, the region 1700-1600 cm . The contribution of the phenolic fraction was identified as the main responsible for this observation.
ISSN:1420-3049
1420-3049
DOI:10.3390/molecules26010088