publication . Article . Other literature type . 2015

The discrimination of honey origin using melissopalynology and Raman spectroscopy techniques coupled with multivariate analysis

Corvucci, Francesca; Nobili, Lara; Melucci, Dora; Grillenzoni, Francesca-Vittoria;
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  • Published: 01 Feb 2015 Journal: Food Chemistry, volume 169, pages 297-304 (issn: 0308-8146, Copyright policy)
  • Publisher: Elsevier BV
  • Country: Italy
Abstract
Honey traceability to food quality is required by consumers and food control institutions. Melissopalynologists traditionally use percentages of nectariferous pollens to discriminate the botanical origin and the entire pollen spectrum (presence/absence, type and quantities and association of some pollen types) to determinate the geographical origin of honeys. To improve melissopalynological routine analysis, principal components analysis (PCA) was used. A remarkable and innovative result was that the most significant pollens for the traditional discrimination of the botanical and geographical origin of honeys were the same as those individuated with the chemomet...
Subjects
free text keywords: Multivariate analysis, Statistics, Explained variation, Biotechnology, business.industry, business, Melissopalynology, Chemometrics, Pollen, medicine.disease_cause, medicine, Chromatography, Principal component analysis, Routine analysis, Food quality, Chemistry, Botanical origin, FT-microRaman, Geographical origin, Honey, PCA, Pollen analysis
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publication . Article . Other literature type . 2015

The discrimination of honey origin using melissopalynology and Raman spectroscopy techniques coupled with multivariate analysis

Corvucci, Francesca; Nobili, Lara; Melucci, Dora; Grillenzoni, Francesca-Vittoria;