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NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey—Exploitation of STOCSY for Markers Identification

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...

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Autores principales: Lemus Ringele, Gabriela Belén, Beteinakis, Stavros, Papachristodoulou, Anastasia, Axiotis, Evangelos, Mikros, Emmanuel, Halabalaki, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498239/
https://www.ncbi.nlm.nih.gov/pubmed/36140981
http://dx.doi.org/10.3390/foods11182853
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author Lemus Ringele, Gabriela Belén
Beteinakis, Stavros
Papachristodoulou, Anastasia
Axiotis, Evangelos
Mikros, Emmanuel
Halabalaki, Maria
author_facet Lemus Ringele, Gabriela Belén
Beteinakis, Stavros
Papachristodoulou, Anastasia
Axiotis, Evangelos
Mikros, Emmanuel
Halabalaki, Maria
author_sort Lemus Ringele, Gabriela Belén
collection PubMed
description 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 (1)H 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.
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spelling pubmed-94982392022-09-23 NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey—Exploitation of STOCSY for Markers Identification Lemus Ringele, Gabriela Belén Beteinakis, Stavros Papachristodoulou, Anastasia Axiotis, Evangelos Mikros, Emmanuel Halabalaki, Maria Foods Article 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 (1)H 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. MDPI 2022-09-15 /pmc/articles/PMC9498239/ /pubmed/36140981 http://dx.doi.org/10.3390/foods11182853 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lemus Ringele, Gabriela Belén
Beteinakis, Stavros
Papachristodoulou, Anastasia
Axiotis, Evangelos
Mikros, Emmanuel
Halabalaki, Maria
NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey—Exploitation of STOCSY for Markers Identification
title NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey—Exploitation of STOCSY for Markers Identification
title_full NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey—Exploitation of STOCSY for Markers Identification
title_fullStr NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey—Exploitation of STOCSY for Markers Identification
title_full_unstemmed NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey—Exploitation of STOCSY for Markers Identification
title_short NMR Metabolite Profiling in the Quality and Authentication Assessment of Greek Honey—Exploitation of STOCSY for Markers Identification
title_sort nmr metabolite profiling in the quality and authentication assessment of greek honey—exploitation of stocsy for markers identification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498239/
https://www.ncbi.nlm.nih.gov/pubmed/36140981
http://dx.doi.org/10.3390/foods11182853
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