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

•VOC markers can be used to differentiate honey from different stingless bee.•Honey chemical profiles are consistent with phylogenetic clustering.•Physicochemical and VOC profiles of stingless bee honey aid in honey authentication. Identification of honey origin based on specific chemical markers is...

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Published in:	Food chemistry Vol. 346; p. 128654
Main Authors:	Sharin, Siti Nurhidayah, Sani, Muhamad Shirwan Abdullah, Jaafar, Mohd Azwan, Yuswan, Mohd Hafis, Kassim, Nur Kartinee, Manaf, Yanty Noorzianna, Wasoh, Helmi, Zaki, Nor Nadiha Mohd, Hashim, Amalia Mohd
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01.06.2021
Subjects:	Animals ash content Bees - chemistry carbonates Chemical markers chemometrics Chemometrics and machine learning Cluster Analysis Discriminant Analysis Discrimination electrical conductivity food chemistry honey Honey - analysis Least-Squares Analysis Machine Learning Phylogeny Physicochemical properties Principal Component Analysis Stingless bee honey stingless bees support vector machines Thoracica total soluble solids volatile compounds Volatile compounds profiling Volatile Organic Compounds - analysis water content Chemometrics and machine learning Discrimination Volatile compounds profiling Stingless bee honey Chemical markers Physicochemical properties
ISSN:	0308-8146, 1873-7072, 1873-7072
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Abstract	•VOC markers can be used to differentiate honey from different stingless bee.•Honey chemical profiles are consistent with phylogenetic clustering.•Physicochemical and VOC profiles of stingless bee honey aid in honey authentication. 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.
AbstractList	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. 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.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. •VOC markers can be used to differentiate honey from different stingless bee.•Honey chemical profiles are consistent with phylogenetic clustering.•Physicochemical and VOC profiles of stingless bee honey aid in honey authentication. 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.
ArticleNumber	128654
Author	Hashim, Amalia Mohd Sharin, Siti Nurhidayah Zaki, Nor Nadiha Mohd Jaafar, Mohd Azwan Yuswan, Mohd Hafis Kassim, Nur Kartinee Manaf, Yanty Noorzianna Wasoh, Helmi Sani, Muhamad Shirwan Abdullah
Author_xml	– sequence: 1 givenname: Siti Nurhidayah orcidid: 0000-0002-5258-2896 surname: Sharin fullname: Sharin, Siti Nurhidayah organization: Halal Products Research Institute, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia – sequence: 2 givenname: Muhamad Shirwan Abdullah orcidid: 0000-0002-8202-1491 surname: Sani fullname: Sani, Muhamad Shirwan Abdullah organization: International Institute for Halal Research and Training, Level 3, KICT Building, International Islamic University Malaysia, 53100 Kuala Lumpur, Malaysia – sequence: 3 givenname: Mohd Azwan surname: Jaafar fullname: Jaafar, Mohd Azwan organization: Centre for Marker Discovery and Validation (CMDV), Malaysian Agricultural Research and Development Institute (MARDI), 43400 Seri Kembangan, Selangor, Malaysia – sequence: 4 givenname: Mohd Hafis orcidid: 0000-0003-2248-9401 surname: Yuswan fullname: Yuswan, Mohd Hafis organization: Halal Products Research Institute, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia – sequence: 5 givenname: Nur Kartinee surname: Kassim fullname: Kassim, Nur Kartinee organization: Department of Chemistry, Faculty of Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia – sequence: 6 givenname: Yanty Noorzianna orcidid: 0000-0002-3421-5494 surname: Manaf fullname: Manaf, Yanty Noorzianna organization: Halal Products Research Institute, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia – sequence: 7 givenname: Helmi surname: Wasoh fullname: Wasoh, Helmi organization: Halal Products Research Institute, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia – sequence: 8 givenname: Nor Nadiha Mohd surname: Zaki fullname: Zaki, Nor Nadiha Mohd organization: Halal Products Research Institute, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia – sequence: 9 givenname: Amalia Mohd orcidid: 0000-0002-8320-0141 surname: Hashim fullname: Hashim, Amalia Mohd email: amalia@upm.edu.my organization: Halal Products Research Institute, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
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Keywords	Chemometrics and machine learning Discrimination Volatile compounds profiling Stingless bee honey Chemical markers Physicochemical properties
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Snippet	•VOC markers can be used to differentiate honey from different stingless bee.•Honey chemical profiles are consistent with phylogenetic... Identification of honey origin based on specific chemical markers is important for honey authentication. This study is aimed to differentiate Malaysian...
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SubjectTerms	Animals ash content Bees - chemistry carbonates Chemical markers chemometrics Chemometrics and machine learning Cluster Analysis Discriminant Analysis Discrimination electrical conductivity food chemistry honey Honey - analysis Least-Squares Analysis Machine Learning Phylogeny Physicochemical properties Principal Component Analysis Stingless bee honey stingless bees support vector machines Thoracica total soluble solids volatile compounds Volatile compounds profiling Volatile Organic Compounds - analysis water content
Title	Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning
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