NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey-Exploitation of STOCSY for Markers Identification
- PMID: 36140981
- PMCID: PMC9498239
- DOI: 10.3390/foods11182853
NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey-Exploitation of STOCSY for Markers Identification
Abstract
Honey is a natural, healthy commodity and is probably among the most complex foods produced by nature. It is the oldest recorded and certainly the only natural sweetener that can be used by humans without any further processing. Nowadays, the increase in honey's value, along with its growing list of healthy attributes, has made the present raw material a prime target for adulteration. In the current study, NMR-based metabolite profiling in combination with chemometrics was applied in the quality control of Greek honeys from northeastern Aegean islands. Moreover, statistical total correlation spectroscopy (STOCSY) was employed for the first time as a dereplication and structural elucidation tool in the honey biomarker identification process. A total of 10 compounds were successfully identified in honey total extracts via 1H NMR spectroscopy. Compounds such as 5-(hydroxymethyl)furfural, methyl syringate, a mono-substituted glycerol derivative and 3-hydroxy-4-phenyl-2-butanone, among others, were identified as potential biomarkers related to the botanical and geographical origin of the samples. High-Resolution Mass Spectrometry (HRMS) was used as an additional verification tool on the identified compounds.
Keywords: Greek honey; NMR profiling; STOCSY; biomarkers; botanical origin; geographical origin.
Conflict of interest statement
The authors declare no conflict of interest.
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References
-
- Se K.W., Wahab R.A., Syed Yaacob S.N., Ghoshal S.K. Detection Techniques for Adulterants in Honey: Challenges and Recent Trends. J. Food Compos. Anal. 2019;80:16–32. doi: 10.1016/j.jfca.2019.04.001. - DOI
-
- Camina J.M., Pellerano R.G., Marchevsky E.J. Geographical and Botanical Classification of Honeys and Apicultural Products by Chemometric Methods. A Review. Curr. Anal. Chem. 2012;8:408–425. doi: 10.2174/157341112801264923. - DOI
-
- Ohmenhaeuser M., Monakhova Y.B., Kuballa T., Lachenmeier D.W. Qualitative and Quantitative Control of Honeys Using NMR Spectroscopy and Chemometrics. ISRN Anal. Chem. 2013;2013:825318. doi: 10.1155/2013/825318. - DOI
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