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: | , , , , , , , , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2018
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| Subjects: | |
| 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 http://irep.iium.edu.my/66721/ https://www.mdpi.com/1420-3049/23/9/2160 |
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| Summary: | 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. |
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