| Literature DB >> 33375521 |
Marco Ciulu1, Elisa Oertel1, Rosanna Serra2, Roberta Farre2, Nadia Spano2, Marco Caredda3, Luca Malfatti2, Gavino Sanna2.
Abstract
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 (Arbutus Unedo L.), asphodel (Asphodelus microcarpus), thistle (Galactites tormentosa), and eucalyptus (Eucalyptus calmadulensis). 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-1 and, to a lesser extent, the region 1700-1600 cm-1. The contribution of the phenolic fraction was identified as the main responsible for this observation.Entities:
Keywords: Fourier transform infrared spectroscopy; asphodel; attenuated total reflectance; eucalyptus; honey discrimination; strawberry-tree; thistle
Year: 2020 PMID: 33375521 DOI: 10.3390/molecules26010088
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411