| Autor: |
Labsvards KD; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia.; Institute of Food Safety, Animal Health and Environment 'BIOR', Lejupes Street 3, LV-1076 Riga, Latvia., Rudovica V; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia., Kluga R; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia., Rusko J; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia.; Institute of Food Safety, Animal Health and Environment 'BIOR', Lejupes Street 3, LV-1076 Riga, Latvia., Busa L; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia., Bertins M; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia., Eglite I; Latvian Beekeeping Association, Rigas Street 22, LV-3004 Jelgava, Latvia., Naumenko J; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia., Salajeva M; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia., Viksna A; Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia. |
| Abstrakt: |
The economic significance of honey production is crucial; therefore, modern and efficient methods of authentication are needed. During the last decade, various data processing methods and a combination of several instrumental methods have been increasingly used in food analysis. In this study, the chemical composition of monofloral buckwheat ( Fagopyrum esculentum ), clover ( Trifolium repens ), heather ( Calluna vulgaris ), linden ( Tilia cordata ), rapeseed ( Brassica napus ), willow ( Salix cinerea ), and polyfloral honey samples of Latvian origin were investigated using several instrumental analysis methods. The data from light stable isotope ratio mass spectrometry (IRMS), ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS), and nuclear magnetic resonance (NMR) analysis methods were used in combination with multivariate analysis to characterize honey samples originating from Latvia. Results were processed using the principal component analysis (PCA) to study the potential possibilities of evaluating the differences between honey of different floral origins. The results indicate the possibility of strong differentiation of heather and buckwheat honeys, and minor differentiation of linden honey from polyfloral honey types. The main indicators include depleted δ 15 N values for heather honey protein, elevated concentration levels of rutin for buckwheat honey, and qualitative presence of specific biomarkers within NMR for linden honey. |
