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...

Full description

Bibliographic Details
Main Authors: Ismail, Intan Safinar, Razali, Muhammad Taufiq Atsifa, Shaari, Khozirah, Abas, Faridah, Maulidiani, Maulidiani, Zainal, Zaim Akmal, Zamri, Zulkifli, Mohd Idrus, Zainuri, Khatib, Alfi, Yee, Soon Ling, Lim, Leong Rui
Format: Article
Language:English
Published: MDPI Multidisciplinary Digital Publishing Institute 2018
Online Access:http://psasir.upm.edu.my/id/eprint/73407/
http://psasir.upm.edu.my/id/eprint/73407/1/BEE.pdf
_version_ 1848857270916481024
author Ismail, Intan Safinar
Razali, Muhammad Taufiq Atsifa
Shaari, Khozirah
Abas, Faridah
Maulidiani, Maulidiani
Zainal, Zaim Akmal
Zamri, Zulkifli
Mohd Idrus, Zainuri
Khatib, Alfi
Yee, Soon Ling
Lim, Leong Rui
author_facet Ismail, Intan Safinar
Razali, Muhammad Taufiq Atsifa
Shaari, Khozirah
Abas, Faridah
Maulidiani, Maulidiani
Zainal, Zaim Akmal
Zamri, Zulkifli
Mohd Idrus, Zainuri
Khatib, Alfi
Yee, Soon Ling
Lim, Leong Rui
author_sort Ismail, Intan Safinar
building UPM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T11:54:53Z
format Article
id upm-73407
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T11:54:53Z
publishDate 2018
publisher MDPI Multidisciplinary Digital Publishing Institute
recordtype eprints
repository_type Digital Repository
spelling upm-734072021-02-12T09:13:07Z http://psasir.upm.edu.my/id/eprint/73407/ Classification of raw stingless bee honeys by bee species origins using the NMR- and LC-MS-based metabolomics approach Ismail, Intan Safinar Razali, Muhammad Taufiq Atsifa Shaari, Khozirah Abas, Faridah Maulidiani, Maulidiani Zainal, Zaim Akmal Zamri, Zulkifli Mohd Idrus, Zainuri Khatib, Alfi Yee, Soon Ling Lim, Leong Rui 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. MDPI Multidisciplinary Digital Publishing Institute 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73407/1/BEE.pdf Ismail, Intan Safinar and Razali, Muhammad Taufiq Atsifa and Shaari, Khozirah and Abas, Faridah and Maulidiani, Maulidiani and Zainal, Zaim Akmal and Zamri, Zulkifli and Mohd Idrus, Zainuri and Khatib, Alfi and Yee, Soon Ling and Lim, Leong Rui (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://pubmed.ncbi.nlm.nih.gov/30154302/ 10.3390/molecules23092160
spellingShingle Ismail, Intan Safinar
Razali, Muhammad Taufiq Atsifa
Shaari, Khozirah
Abas, Faridah
Maulidiani, Maulidiani
Zainal, Zaim Akmal
Zamri, Zulkifli
Mohd Idrus, Zainuri
Khatib, Alfi
Yee, Soon Ling
Lim, Leong Rui
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
url http://psasir.upm.edu.my/id/eprint/73407/
http://psasir.upm.edu.my/id/eprint/73407/
http://psasir.upm.edu.my/id/eprint/73407/
http://psasir.upm.edu.my/id/eprint/73407/1/BEE.pdf