Geographical origin and botanical type honey authentication through elemental metabolomics via chemometrics.

The trace and rare earth elements content of 93 honeys of different botanical type and origin have been studied through ICP-MS. Discriminant Analysis (DA) was successful for botanical type and geographical origin classification while Cluster Analysis (CA) was successful only for botanical type. Through Probabilistic Neural Network (PNN) analysis, 85.

Antioxidant Activity and Phenolic Profile of Selected Organic and Conventional Honeys from Poland.

Honey is a natural food product hypothesized to have significant health-beneficial value. The results of recent studies indicate that the biological activity of honey can also be ascribed to phenolic compounds and their antioxidant activity. The aims of this study were: To determine the phenolic profiles of several varieties of Polish honey and their correlation with various factors influencing the quality of honey, plus to verify the impact of production method (organic/conventional) and the pollen content on these profiles.

Identification of honey types.

In order to develop a procedure to identify a type and variety of honeys, basing on the physicochemical parameters of honey quality, two-phase calculations were conducted. A method of discrimination analysis was used. Moreover, a model to use while identifying honeys was proposed.

Application of regression analysis as a method to determine total ash content in some selected nectar honeys.

We developed a new, indirect method for the determination of mineral substances, expressed as total ash content in bee honey varieities, based on a multiple regression model. This time-saving and effective method could serve as a new procedure in routine quality control plans of bee honey varieties.