Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning
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 physicochemi...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/96756/ http://psasir.upm.edu.my/id/eprint/96756/1/ABSTRACT.pdf |
| _version_ | 1848862437529354240 |
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| author | Sharin, Siti Nurhidayah Abdullah Sani, Muhamad Shirwan Jaafar, Mohd Azwan Yuswan, Mohd Hafis Kassim, Nur Kartinee Manaf, Yanty Noorzianna Wasoh, Helmi Mohd Zaki, Nor Nadiha Mohd Hashim, Amalia |
| author_facet | Sharin, Siti Nurhidayah Abdullah Sani, Muhamad Shirwan Jaafar, Mohd Azwan Yuswan, Mohd Hafis Kassim, Nur Kartinee Manaf, Yanty Noorzianna Wasoh, Helmi Mohd Zaki, Nor Nadiha Mohd Hashim, Amalia |
| author_sort | Sharin, Siti Nurhidayah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T13:17:01Z |
| format | Article |
| id | upm-96756 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T13:17:01Z |
| publishDate | 2021 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-967562022-12-01T07:31:45Z http://psasir.upm.edu.my/id/eprint/96756/ Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning Sharin, Siti Nurhidayah Abdullah Sani, Muhamad Shirwan Jaafar, Mohd Azwan Yuswan, Mohd Hafis Kassim, Nur Kartinee Manaf, Yanty Noorzianna Wasoh, Helmi Mohd Zaki, Nor Nadiha Mohd Hashim, Amalia 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. Elsevier 2021 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/96756/1/ABSTRACT.pdf 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 https://www.sciencedirect.com/science/article/pii/S0308814620325164 10.1016/j.foodchem.2020.128654 |
| spellingShingle | Sharin, Siti Nurhidayah Abdullah Sani, Muhamad Shirwan Jaafar, Mohd Azwan Yuswan, Mohd Hafis Kassim, Nur Kartinee Manaf, Yanty Noorzianna Wasoh, Helmi Mohd Zaki, Nor Nadiha Mohd Hashim, Amalia Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning |
| title | Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning |
| title_full | Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning |
| title_fullStr | Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning |
| title_full_unstemmed | Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning |
| title_short | Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning |
| title_sort | discrimination of malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning |
| url | http://psasir.upm.edu.my/id/eprint/96756/ http://psasir.upm.edu.my/id/eprint/96756/ http://psasir.upm.edu.my/id/eprint/96756/ http://psasir.upm.edu.my/id/eprint/96756/1/ABSTRACT.pdf |