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  • Author or Editor: Tomislav Sostaric 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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Summary

The potential of high-performance thin-layer chromatographic (HPTLC) fingerprinting in identifying differences in sandalwood essential oils from 5 sandalwood species, namely, Santalum album, Santalum spicatum, Santalum austrocaledonicum, Santalum panic-ulatum, Santalum lanceolatum, and a natural substitute for sandalwood, Osyris lanceolata, was explored. Variation was observed in the profile of bands (R F values and color) and peak intensity profiles displayed by the essential oils across and within the essential oils studied with some bands being unique to the individual species. The potential of HPTLC fingerprinting as a quality control tool in authenticating sandalwood oils in the sandalwood industry was demonstrated in the present study.

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