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Multivariate statistical analysis of the polyphenols content for the discrimination of honey produced in Sicily (Southern Italy)
- Publication Year :
- 2019
-
Abstract
- The polyphenols content of 105 honey samples produced by black honeybees (Apis Mellifera ssp. Sicula) and common honeybees (Apis mellifera ssp. Ligustica) from Western Sicily (Southern Italy) was examined using TurboFlow™ liquid chromatography Orbitrap™ high-resolution mass spectrometry. The results showed very high kaempferol and quercetin contents, with average values higher than what was reported in literature (3967.9 ± 2184.16 and 2206.1 ± 1666.4 μg kg−1 for kaempferol and quercetin, respectively). The honey samples produced by Apis Mellifera ssp. Sicula subspecies showed polyphenols content up to two times higher than Apis mellifera ssp. Ligustica. The Principal Component Analysis (PCA) model calculated on the polyphenols content showed a satisfactory separation of the honey samples in terms of honeybee subspecies and production area. The model proposed in this work shows the possibility to safeguard the authenticity of the honey produced in the various geographic areas of Sicily.
- Subjects :
- 0303 health sciences
Polyphenols Nutraceutical Liquid chromatography High resolution mass spectrometry Multivariate analysis
Production area
Polyphenols, Nutraceutical, Liquid chromatography, High resolution mass spectrometry, Multivariate analysis
030309 nutrition & dietetics
010401 analytical chemistry
Liquid chromatography
Polyphenols
Subspecies
Biology
01 natural sciences
Honey samples
High resolution mass spectrometry
0104 chemical sciences
03 medical and health sciences
chemistry.chemical_compound
Horticulture
chemistry
Multivariate analysis
Polyphenol
Nutraceutical
Multivariate statistical
Quercetin
Kaempferol
Food Science
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....2d174b0ccb6c00a50e1b9e2bcd1f9527