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

Rodríguez-Flores, María Shantal; Bernárdez, Montserrat Míguez; Seijo, María Carmen

doi:10.1016/j.foodchem.2019.124979

Cited by 22 publications

(23 citation statements)

References 33 publications

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“…This bee product can be classified according to their botanical source as unifloral honey (if arising predominantly from a single plant species), multifloral honey (obtained from multiples plant species), or honeydew when was from secretions in plants. In north-western Spain, unifloral honeys of eucalyptus, chestnut, heather, and blackberry are produced, and there is also a good production of honeydew honey [9]. Since 2007, these unifloral honeys in European countries were recognized in the Protected Geographical Indication (PGI) Miel de Galicia (Commission Regulation (EC) No 868/2007 of 23 July 2007).…”

Section: Introductionmentioning

confidence: 99%

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

Escuredo

Meno

Seijo

2021

Foods

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There is an increase in the consumption of natural foods with healthy benefits such as honey. The physicochemical composition contributes to the particularities of honey that differ depending on the botanical origin. Botanical and geographical declaration protects consumers from possible fraud and ensures the quality of the product. The objective of this study was to develop prediction models using a portable near-Infrared (MicroNIR) Spectroscopy to contribute to authenticate honeys from Northwest Spain. Based on reference physicochemical analyses of honey, prediction equations using principal components analysis and partial least square regression were developed. Statistical descriptors were good for moisture, hydroxymethylfurfural (HMF), color (Pfund, L and b* coordinates of CIELab) and flavonoids (RSQ > 0.75; RPD > 2.0), and acceptable for electrical conductivity (EC), pH and phenols (RSQ > 0.61; RDP > 1.5). Linear discriminant analysis correctly classified the 88.1% of honeys based on physicochemical parameters and botanical origin (heather, chestnut, eucalyptus, blackberry, honeydew, multifloral). Estimation of quality and physicochemical properties of honey with NIR-spectra data and chemometrics proves to be a powerful tool to fulfil quality goals of this bee product. Results supported that the portable spectroscopy devices provided an effective tool for the apicultural sector to rapid in-situ classification and authentication of honey.

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Section: Introductionmentioning

confidence: 99%

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

Escuredo

Meno

Seijo

2021

Foods

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“…In most cases, consumers prefer honey with mild flavor, low crystallization, but the significant number of consumers also chooses honey with pronounced flavor. The composition of honey of the same botanical variety may vary depending on the place of origin [5]. As a rule, monofloral honey and honey from certain geographical areas, such as Altai or Bashkiria, are more expensive than polyfloral ones.…”

Section: Literature Reviewmentioning

confidence: 99%

Organoleptic, Physico-Chemical and Palynological Properties of Honey in the West Siberian Region of Russia

Корниенко¹,

Zabolotnykh²,

Yakushkin³

et al. 2020

Proceedings of the International Scientific Conference the Fifth Technological Order: Prospects for the Development and Moderni

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This article describes the results of studies of honey from the West Siberian region. Organoleptic and physicochemical parameters were defined; melissopalynological analysis of mono-and polyfloral honey gathered in the Altai, as well as in the Omsk and Tomsk regions was carried out. It was noted that organoleptic and physico-chemical characteristics of honey have differences associated with climatic and geographical features of various natural and agricultural areas. The range of monofloral honey types produced in the areas of studied region was defined, as well as the dominant nectariferous plants for polyfloral honey. Most common for this region falsifications are also identified. It was established that in order to conduct an adequate veterinary and sanitary assessment and establish the flora type of the honey in a particular region, palynological studies with the definition of the main nectariferous plants should be routinely carried out. The declaration of the botanical origin of honey should only be based on the results of melissopalynological tests.

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“…Honey is obtained from the nectar of plants, plant secretions or excretions mediated by sucking insects, such as aphids, or from blends of them [1,2]. The predominance of one of these sources leads classification of honey as either blossom honey or honeydew honey [1,3]. Honey has a very complex composition, which depends on the botanical and geographical origin, the weather during harvest, the climate conditions of the area and the apicultural management, especially during the honey harvest and storage [4,5,6,7].…”

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Honey: Chemical Composition, Stability and Authenticity

Escuredo¹,

Seijo²

2019

Foods

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This Special Issue contains innovative research papers on the characterization, chemical composition and physical properties of honey. This constitutes very useful information to avoid frauds and to guarantee the authenticity of this food product. The knowledge of the particularities of honey is increasingly demanded by beekeepers and consumers, and also by labs to typify honeys according to their botanical origin and to check their quality. Melissopalynological, sensorial and physicochemical techniques are being used to study the characteristics of honeys samples from different plant sources and geographical areas. The combination of these analytical techniques with mathematical and statistical methods or chemometrics allows researchers to identify a set of variables or individual parameters that define independent samples, providing a practical solution to classify honey according to the geographical or the botanical origin.

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

Cited by 22 publications

References 33 publications

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

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

Organoleptic, Physico-Chemical and Palynological Properties of Honey in the West Siberian Region of Russia

Honey: Chemical Composition, Stability and Authenticity

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