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...
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Multidisciplinary Digital Publishing Institute (MDPI)
2018
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my.iium.irep.667212019-01-30T03:57:42Z http://irep.iium.edu.my/66721/ 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. Khozirah, S. Zamri, Zulkifli Idrus, Mohd Zainuri Khatib, Alfi Abas, Faridah Ling, Yee Soon Rui, Lim Leong RC Internal medicine SB Plant culture 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 ( 1H-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 1H-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 1H-NMR- and UHPLC-QTOF MS-based metabolomics approach. Multidisciplinary Digital Publishing Institute (MDPI) 2018-08-28 Article PeerReviewed application/pdf en http://irep.iium.edu.my/66721/1/66721_Classification%20of%20Raw%20Stingless%20Bee%20Honeys_article.pdf application/pdf en http://irep.iium.edu.my/66721/2/66721_Classification%20of%20Raw%20Stingless%20Bee%20Honeys_scopus.pdf application/pdf en http://irep.iium.edu.my/66721/13/66721_Classification%20of%20raw%20stingless%20bee%20honeys_WOS.pdf Razali, Muhammad Taufiq Atsifa and Zainal, Zaim Akmal and Maulidiani, M. and Khozirah, S. and Zamri, Zulkifli and Idrus, Mohd Zainuri and Khatib, Alfi and Abas, Faridah and Ling, Yee Soon and Rui, Lim Leong (2018) Classification of raw stingless bee honeys by bee species origins using the NMR- and LC-MS-based metabolomics approach. Molecules, 23 (9). pp. 1-18. ISSN 1420-3049 https://www.mdpi.com/1420-3049/23/9/2160 10.3390/molecules23092160 |
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RC Internal medicine SB Plant culture Razali, Muhammad Taufiq Atsifa Zainal, Zaim Akmal Maulidiani, M. Khozirah, S. Zamri, Zulkifli Idrus, Mohd Zainuri Khatib, Alfi Abas, Faridah Ling, Yee Soon Rui, Lim Leong Classification of raw stingless bee honeys by bee species origins using the NMR- and LC-MS-based metabolomics approach |
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
(
1H-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 1H-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 1H-NMR- and
UHPLC-QTOF MS-based metabolomics approach. |
format |
Article |
author |
Razali, Muhammad Taufiq Atsifa Zainal, Zaim Akmal Maulidiani, M. Khozirah, S. Zamri, Zulkifli Idrus, Mohd Zainuri Khatib, Alfi Abas, Faridah Ling, Yee Soon Rui, Lim Leong |
author_facet |
Razali, Muhammad Taufiq Atsifa Zainal, Zaim Akmal Maulidiani, M. Khozirah, S. Zamri, Zulkifli Idrus, Mohd Zainuri Khatib, Alfi Abas, Faridah Ling, Yee Soon Rui, Lim Leong |
author_sort |
Razali, Muhammad Taufiq Atsifa |
title |
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_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_sort |
classification of raw stingless bee honeys by bee species origins using the nmr- and lc-ms-based metabolomics approach |
publisher |
Multidisciplinary Digital Publishing Institute (MDPI) |
publishDate |
2018 |
url |
http://irep.iium.edu.my/66721/1/66721_Classification%20of%20Raw%20Stingless%20Bee%20Honeys_article.pdf http://irep.iium.edu.my/66721/2/66721_Classification%20of%20Raw%20Stingless%20Bee%20Honeys_scopus.pdf http://irep.iium.edu.my/66721/13/66721_Classification%20of%20raw%20stingless%20bee%20honeys_WOS.pdf http://irep.iium.edu.my/66721/ https://www.mdpi.com/1420-3049/23/9/2160 |
_version_ |
1643619016810430464 |
score |
13.211869 |