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Authentication of Australian and New Zealand honey origins by chromatography, and their anti-inflammatory properties
Dissertation   Open access

Authentication of Australian and New Zealand honey origins by chromatography, and their anti-inflammatory properties

Daniel Meloncelli
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast
2019
DOI:
https://doi.org/10.25907/00538
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Authentication of Australian and New Zealand honey origins by chromatography, and their anti-inflammatory properties4.57 MBDownloadView
Thesis Open Access

Abstract

5-lipoxygenase Australia dihydroxyacetone gas chromatography-mass spectrometry high performance liquid chromatography inflammation leptosperin Leptospermum leukotriene B4 methylglyoxal New Zealand nuclear magnetic resonance phenolic compounds phytochemicals polymorphonuclear neutrophils trimethylsilyl volatile organic compounds
Over the past two decades, there have been sharp increases in the demand for and value of honey derived from the nectar of Leptospermum species native to Australia and New Zealand, primarily due to their high non-peroxide anti-bacterial activity. However, a critical issue facing the Australian and New Zealand honey industries is to maintain the integrity of the product against the increasing occurrence of fraudulently mislabelled honey. The first aim of this PhD research project was to evaluate whether the chromatographic profiles of phytochemicals found in Australian and New Zealand honey could be used to authenticate the floral source and geographical origins of the honeys. Volatile organic compounds (VOCs) in the honey samples (n = 151) were isolated from the honey matrix with a rapid and low volume liquid-liquid ethyl acetate extraction. Volatility was imparted to the semi-volatile organic compounds in the honey samples through trimethylsilyl-derivatisation to increase detectability. The VOCs in the honey samples were detected and quantified by Gas Chromatography-Mass Spectrometry (GC-MS). Classification and regression tree (CART) analysis of the concentrations of VOCs in the honey samples accurately predicted the floral source of honey from Australia and New Zealand. Results from the blind testing showed that the classification model correctly classified 96.3 % of the Leptospermum honey samples to the genus level, and 87.1 % of the non-Leptospermum honey samples. Increasing the number of honey varieties, in particular Australian Leptospermum species like L. speciosum and L. nitens, and the sample size analysed by CART will only improve the accuracy of this model.

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