Characterization and geographical discrimination of commercial Citrus spp. honeys produced in different Mediterranean countries based on minerals, volatile compounds and physicochemical parameters, using chemometrics

[Display omitted] •Characterization and geographical discrimination of Mediterranean citrus honey.•Using 8 physicochemical parameters the correct discrimination rate was 97.3%.•Using 15 volatiles the correct discrimination rate was 86.5%.•Using 13 minerals the correct discrimination rate was 83.8%.•...

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Veröffentlicht in:Food chemistry 2017-02, Vol.217, p.445-455
Hauptverfasser: Karabagias, Ioannis K., Louppis, Artemis P., Karabournioti, Sofia, Kontakos, Stavros, Papastephanou, Chara, Kontominas, Michael G.
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Sprache:eng
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Zusammenfassung:[Display omitted] •Characterization and geographical discrimination of Mediterranean citrus honey.•Using 8 physicochemical parameters the correct discrimination rate was 97.3%.•Using 15 volatiles the correct discrimination rate was 86.5%.•Using 13 minerals the correct discrimination rate was 83.8%.•Different physicochemical parameters may be applied to honey quality control. The objective of the present study was: i) to characterize Mediterranean citrus honeys based on conventional physicochemical parameter values, volatile compounds, and mineral content ii) to investigate the potential of above parameters to differentiate citrus honeys according to geographical origin using chemometrics. Thus, 37 citrus honey samples were collected during harvesting periods 2013 and 2014 from Greece, Egypt, Morocco, and Spain. Conventional physicochemical and CIELAB colour parameters were determined using official methods of analysis and the Commission Internationale de l’ Eclairage recommendations, respectively. Minerals were determined using ICP-OES and volatiles using SPME-GC/MS. Results showed that honey samples analyzed, met the standard quality criteria set by the EU and were successfully classified according to geographical origin. Correct classification rates were 97.3% using 8 physicochemical parameter values, 86.5% using 15 volatile compound data and 83.8% using 13 minerals.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2016.08.124