Traditional melissopalynology integrated by multivariate analysis and sampling methods to improve botanical and geographical characterisation of honeys

Abstract

Melissopalynological analysis is the official test to determine the botanical and geographical origin of honey. Geographical characterisation is generally obtained by synthesising the pollen data of all available local honeys in a pollen spectrum interpreted according to palynological expertise. The subjective ability to interpret data is considered a limiting factor for this method and alternative tests are promoted. Nevertheless, melissopalynological analysis is still the most reliable test, and data, if properly exploited, could provide a large amount of information that is generally disregarded. The aim of our work was to apply a new experimental approach for honey sampling, and a statistical multivariate analysis of melissopalynological data. The study was conducted in the Sorrento-Amalfi Peninsula (southern Italy) where 36 hives were positioned in 12 experimental stations distributed in three main land-use types (citrus orchards, chestnut woods and Mediterranean maquis). The new approach proved to be useful for the comprehensive evaluation of honey variability across time and space, allowing objective identification of the pollen types as markers of a given geographical area.

Keywords:

• Honey characterisation
• melissopalynology
• multivariate analysis
• pollen identification
• applied botany

Acknowledgements

The authors thank the Regione Campania and CRAA for financial support through EC Regulations 1221/97 and 797/04. Special recognition goes to Michele Scala for the palynological analysis of the honeys. The authors also thank Stefano Mazzoleni for manuscript revision on the application of multivariate analysis.