Differentiation of oak honeydew and chestnut honeys from the same geographical origin using chemometric methods
•Differentiation between honeydew and chestnut honey using multivariate analysis.•Castanea, Cytisus, color, RSA, Mg and trehalose variables dominated grouping by PCA.•Honeydew and chestnut (97.6%) honey were correctly classified by LDA. Oak honeydew and chestnut honeys often share the same productio...
Saved in:
Published in | Food chemistry Vol. 297; p. 124979 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.11.2019
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | •Differentiation between honeydew and chestnut honey using multivariate analysis.•Castanea, Cytisus, color, RSA, Mg and trehalose variables dominated grouping by PCA.•Honeydew and chestnut (97.6%) honey were correctly classified by LDA.
Oak honeydew and chestnut honeys often share the same production area in Atlantic landscapes. Consequently these honeys have common physicochemical properties and pollen composition, making their differentiation by routine methods, a difficult task. The increase in the demands of consumers for clear honey labelling, identifying floral make-ups and the substantial health properties of both honey types, make it necessary to improve methods to differentiate the honeys. Statistical multivariate techniques were used to study the differences in the physicochemical composition and pollen spectra between chestnut honey and oak honeydew honey. Palynological analysis, moisture, pH, electrical conductivity, hydroxymethylfurfural, diastase number, colour, phenolic content, minerals and sugars were used for this purpose. The variables that had more weight in the differentiation by principal component analysis were Castanea, Cytisus type, CIELab coordinates (a* and L), RSA, Mg and trehalose; 97.6% of the honey samples were correctly classified by linear discriminant analysis. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0308-8146 1873-7072 |
DOI: | 10.1016/j.foodchem.2019.124979 |