Literature DB >> 31253311

Differentiation of oak honeydew and chestnut honeys from the same geographical origin using chemometric methods.

M Shantal Rodríguez-Flores1, Olga Escuredo2, Montserrat Míguez3, M Carmen Seijo4.   

Abstract

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antioxidant properties; Castanea; Honeydew; Linear discriminant analysis; Physicochemical characteristics; Pollen profile; Principal component analysis

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Year:  2019        PMID: 31253311     DOI: 10.1016/j.foodchem.2019.124979

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

1.  Honey: Chemical Composition, Stability and Authenticity.

Authors:  Olga Escuredo; M Carmen Seijo
Journal:  Foods       Date:  2019-11-15

Review 2.  Antioxidant Activity in Bee Products: A Review.

Authors:  Marianna Martinello; Franco Mutinelli
Journal:  Antioxidants (Basel)       Date:  2021-01-07

3.  Prediction of Physicochemical Properties in Honeys with Portable Near-Infrared (microNIR) Spectroscopy Combined with Multivariate Data Processing.

Authors:  Olga Escuredo; María Shantal Rodríguez-Flores; Laura Meno; María Carmen Seijo
Journal:  Foods       Date:  2021-02-03
  3 in total

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