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  • Author or Editor: Jonas Neumann x
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This article presents the findings of an in-depth study on high-performance thin-layer chromatographic (HPTLC) profiling of Jarrah (Eucalyptus marginata) and Manuka (Leptospermum spp.) honeys following a simple one-step solvent extraction process. The study demonstrates that different HPTLC fingerprints are obtained from honeys from varying floral sources and that honeys of the same floral origin present a consistent reproducible HPTLC profile. In addition, the linearity and reproducibility of this technique as well as its ability to detect (accidental or deliberate) contaminations with honeys of different floral sources are demonstrated. The study thus illustrates the usefulness of HPTLC profiling as a potential quality control tool that might complement other analytical techniques used in the authentication of monofloral honeys.

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This paper explores the high-performance thin-layer chromatographic (HPTLC) fingerprinting of non-sugar constituents for the authentication of honeys using highly antibacterial Jarrah (Eucalyptus marginata) and Marri (Corymbia calophylla) honeys sourced from Western Australia, different Leptospermum-derived Manuka honeys, and a typical table honey from an undisclosed floral source as test samples. As is demonstrated in this study, using HPTLC fingerprinting, it is possible to define differences in botanical origin as the honey fingerprints exhibit a unique profile of bands (i.e., Rf values, color) and peak profiles (i.e., Rf and peak intensity values, peak intensity ratios) that differ distinctly from each other. The identification of patterns of common bands among honeys derived from the same floral source as authentication tool is possible. Further, slight differences among honeys from the same botanical origin might be due to age, processing, or regional factors. The HPTLC analysis of two differently aged Jarrah honeys of the same supplier indicates also that future closer investigation of intraspecies differences might assist in developing HPTLC-supported quality control tools.

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