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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Veröffentlicht in:Food chemistry Jg. 346; S. 128654
Hauptverfasser: 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
Sprache:Englisch
Veröffentlicht: England Elsevier Ltd 01.06.2021
Schlagworte:
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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Zusammenfassung:•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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0308-8146
1873-7072
1873-7072
DOI:10.1016/j.foodchem.2020.128654