Multivariate statistical analysis of the polyphenols content for the discrimination of honey produced in Sicily (Southern Italy)
2019
Lo Dico, Gianluigi Maria | Ulrici, Alessandro | Pulvirenti, Andrea | Cammilleri, Gaetano | Macaluso, Andrea | Vella, Antonio | Giaccone, Vita | Lo Cascio, Giovanni | Graci, Stefania | Scuto, Maria | Trovato Salinaro, Angela | Calabrese, Vittorio | Lo Dico, Rea | Ferrantelli, Vincenzo
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.
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