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Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning


Citation

Sharin, Siti Nurhidayah and Abdullah Sani, Muhamad Shirwan and Jaafar, Mohd Azwan and Yuswan, Mohd Hafis and Kassim, Nur Kartinee and Manaf, Yanty Noorzianna and Wasoh, Helmi and Mohd Zaki, Nor Nadiha and Mohd Hashim, Amalia (2021) Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning. Food Chemistry, 346. art. no. 128654. pp. 1-10. ISSN 0308-8146; ESSN: 1873-7072

Abstract

Identification of honey origin based on specific chemical markers is important for honey authentication. This study is aimed to differentiate Malaysian stingless bee honey from different entomological origins (Heterotrigona bakeri, Geniotrigona thoracica and Tetrigona binghami) based on physicochemical properties (pH, moisture content, ash, total soluble solid and electrical conductivity) and volatile compound profiles. The discrimination pattern of 75 honey samples was observed using Principal Component Analysis (PCA), Hierarchical Clustering Analysis (HCA), Partial Least Square-Discriminant Analysis (PLS-DA), and Support Vector Machine (SVM). The profiles of H. bakeri and G. thoracica honey were close to each other, but clearly separated from T. binghami honey, consistent with their phylogenetic relationship. T. binghami honey is marked by significantly higher electrical conductivity, moisture and ash content, and high abundance of 2,6,6-trimethyl-1-cyclohexene-1-carboxaldehyde, 2,6,6-trimethyl-1-cyclohexene-1-acetaldehyde and ethyl 2-(5-methyl-5-vinyltetrahydrofuran-2-yl)propan-2-yl carbonate. Copaene was proposed as chemical marker for G. thoracica honey. The potential of different parameters that aid in honey authentication was highlighted.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Biotechnology and Biomolecular Sciences
Faculty of Science
Halal Products Research Institute
DOI Number: https://doi.org/10.1016/j.foodchem.2020.128654
Publisher: Elsevier
Keywords: Stingless bee honey; Physicochemical properties; Volatile compounds profiling; Chemometrics and machine learning; Discrimination; Chemical markers
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 01 Dec 2022 07:31
Last Modified: 01 Dec 2022 07:31
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.foodchem.2020.128654
URI: http://psasir.upm.edu.my/id/eprint/96756
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