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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Main Authors: 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
Format: Article
Language:English
English
English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2018
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Online Access: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
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https://www.mdpi.com/1420-3049/23/9/2160
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spelling 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic RC Internal medicine
SB Plant culture
spellingShingle 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
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