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Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach

The official standard for quality control of honey is currently based on physicochemical properties. However, this method is time-consuming, cost intensive, and does not lead to information on the originality of honey. This study aims to classify raw stingless bee honeys by bee species origins as a...

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Autores principales: Razali, Muhammad Taufiq Atsifa, Zainal, Zaim Akmal, Maulidiani, M., Shaari, Khozirah, Zamri, Zulkifli, Mohd Idrus, Mohd Zainuri, Khatib, Alfi, Abas, Faridah, Ling, Yee Soon, Rui, Lim Leong, Ismail, Intan Safinar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225217/
https://www.ncbi.nlm.nih.gov/pubmed/30154302
http://dx.doi.org/10.3390/molecules23092160
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author Razali, Muhammad Taufiq Atsifa
Zainal, Zaim Akmal
Maulidiani, M.
Shaari, Khozirah
Zamri, Zulkifli
Mohd Idrus, Mohd Zainuri
Khatib, Alfi
Abas, Faridah
Ling, Yee Soon
Rui, Lim Leong
Ismail, Intan Safinar
author_facet Razali, Muhammad Taufiq Atsifa
Zainal, Zaim Akmal
Maulidiani, M.
Shaari, Khozirah
Zamri, Zulkifli
Mohd Idrus, Mohd Zainuri
Khatib, Alfi
Abas, Faridah
Ling, Yee Soon
Rui, Lim Leong
Ismail, Intan Safinar
author_sort Razali, Muhammad Taufiq Atsifa
collection PubMed
description The official standard for quality control of honey is currently based on physicochemical properties. However, this method is time-consuming, cost intensive, and does not lead to information on the originality of honey. This study aims to classify raw stingless bee honeys by bee species origins as a potential classifier using the NMR-LCMS-based metabolomics approach. Raw stingless bee honeys were analysed and classified by bee species origins using proton nuclear magnetic resonance ((1)H-NMR) spectroscopy and an ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-QTOF MS) in combination with chemometrics tools. The honey samples were able to be classified into three different groups based on the bee species origins of Heterotrigona itama, Geniotrigona thoracica, and Tetrigona apicalis. d-Fructofuranose (H. itama honey), β-d-Glucose, d-Xylose, α-d-Glucose (G. thoracica honey), and l-Lactic acid, Acetic acid, l-Alanine (T. apicalis honey) ident d-Fructofuranose identified via (1)H-NMR data and the diagnostic ions of UHPLC-QTOF MS were characterized as the discriminant metabolites or putative chemical markers. It could be suggested that the quality of honey in terms of originality and purity can be rapidly determined using the classification technique by bee species origins via the (1)H-NMR- and UHPLC-QTOF MS-based metabolomics approach.
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spelling pubmed-62252172018-11-13 Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach Razali, Muhammad Taufiq Atsifa Zainal, Zaim Akmal Maulidiani, M. Shaari, Khozirah Zamri, Zulkifli Mohd Idrus, Mohd Zainuri Khatib, Alfi Abas, Faridah Ling, Yee Soon Rui, Lim Leong Ismail, Intan Safinar Molecules Article The official standard for quality control of honey is currently based on physicochemical properties. However, this method is time-consuming, cost intensive, and does not lead to information on the originality of honey. This study aims to classify raw stingless bee honeys by bee species origins as a potential classifier using the NMR-LCMS-based metabolomics approach. Raw stingless bee honeys were analysed and classified by bee species origins using proton nuclear magnetic resonance ((1)H-NMR) spectroscopy and an ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-QTOF MS) in combination with chemometrics tools. The honey samples were able to be classified into three different groups based on the bee species origins of Heterotrigona itama, Geniotrigona thoracica, and Tetrigona apicalis. d-Fructofuranose (H. itama honey), β-d-Glucose, d-Xylose, α-d-Glucose (G. thoracica honey), and l-Lactic acid, Acetic acid, l-Alanine (T. apicalis honey) ident d-Fructofuranose identified via (1)H-NMR data and the diagnostic ions of UHPLC-QTOF MS were characterized as the discriminant metabolites or putative chemical markers. It could be suggested that the quality of honey in terms of originality and purity can be rapidly determined using the classification technique by bee species origins via the (1)H-NMR- and UHPLC-QTOF MS-based metabolomics approach. MDPI 2018-08-28 /pmc/articles/PMC6225217/ /pubmed/30154302 http://dx.doi.org/10.3390/molecules23092160 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Razali, Muhammad Taufiq Atsifa
Zainal, Zaim Akmal
Maulidiani, M.
Shaari, Khozirah
Zamri, Zulkifli
Mohd Idrus, Mohd Zainuri
Khatib, Alfi
Abas, Faridah
Ling, Yee Soon
Rui, Lim Leong
Ismail, Intan Safinar
Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach
title Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach
title_full Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach
title_fullStr Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach
title_full_unstemmed Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach
title_short Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach
title_sort classification of raw stingless bee honeys by bee species origins using the nmr- and lc-ms-based metabolomics approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225217/
https://www.ncbi.nlm.nih.gov/pubmed/30154302
http://dx.doi.org/10.3390/molecules23092160
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