| Autor: |
Gabriela Belén Lemus Ringele, Stavros Beteinakis, Anastasia Papachristodoulou, Evangelos Axiotis, Emmanuel Mikros, Maria Halabalaki |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Foods, Vol 11, Iss 18, p 2853 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2304-8158 |
| DOI: |
10.3390/foods11182853 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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