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Molecules 2018, 23(7), 1811; https://doi.org/10.3390/molecules23071811

HPTLC Fingerprinting—Rapid Method for the Differentiation of Honeys of Different Botanical Origin Based on the Composition of the Lipophilic Fractions

1
Faculty of Chemistry, Opole University, Oleska 48, 45-052 Opole, Poland
2
Research Institute of Horticulture, Apiculture Division, ul. Kazimierska 2, 24-100 Puławy, Poland
3
Faculty of Chemistry, Wroclaw University of Science and Technology, ul. Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
*
Author to whom correspondence should be addressed.
Received: 16 June 2018 / Revised: 16 July 2018 / Accepted: 20 July 2018 / Published: 21 July 2018
(This article belongs to the Special Issue Recent Advances in Studies of Food and Beverages)
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Abstract

Bee honey possess various nutritional and medicinal functions, which are the result of its diverse chemical composition. The numerous bioactive compounds in honey come from flower nectar; thus, the identification of the specific chemical profiles of honey samples is of great importance. The lipophilic compounds from eight monofloral honeys (rape, buckwheat, clover, willow, milk thistle, dandelion, raspberry and sweet yellow clover) were investigated. Analyses of the lipophilic fractions obtained by UAE (ultrasound assisted extraction) and SPE (solid phase extraction) extractions were performed using high-performance thin layer chromatography (HPTLC). Chromatographic and cluster analyses allowed the identification of a unique, colorful pattern of separated compounds with specific Rf values on the HPTLC plate for each type of monofloral honey. HPTLC is a simple and effective visual method of analysis, and it can serve as a basis for authenticating different types of honey. View Full-Text
Keywords: food quality; honey authentication; honey fingerprint; ultrasound assisted extraction; solid phase extraction; HPTLC food quality; honey authentication; honey fingerprint; ultrasound assisted extraction; solid phase extraction; HPTLC
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Makowicz, E.; Jasicka-Misiak, I.; Teper, D.; Kafarski, P. HPTLC Fingerprinting—Rapid Method for the Differentiation of Honeys of Different Botanical Origin Based on the Composition of the Lipophilic Fractions. Molecules 2018, 23, 1811.

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