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Classification of raw stingless bee honeys by bee species origins using the NMR- and LC-MS-based metabolomics approach


Citation

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

Abstract

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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Official URL or Download Paper: https://pubmed.ncbi.nlm.nih.gov/30154302/

Additional Metadata

Item Type: Article
Divisions: Institute of Bioscience
DOI Number: https://doi.org/10.3390/molecules23092160
Publisher: MDPI Multidisciplinary Digital Publishing Institute
Keywords: Classification; Stingless bee honey; Bee species origins; Metabolomics; NMR; LC-MS; Chemometrics
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 12 Feb 2021 09:13
Last Modified: 12 Feb 2021 09:13
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/molecules23092160
URI: http://psasir.upm.edu.my/id/eprint/73407
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