Harmonized methods of melissopalynology

Ohe, Werner von der; Oddo, Livia Persano; Piana, Maria Lucia; Morlot, Monique; Martin, Peter

doi:10.1051/apido:2004050

Cited by 544 publications

(401 citation statements)

References 11 publications

(14 reference statements)

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“…The pollinic profiles determined showed that in 61 honey samples it was possible to identify between 4 and 9 different pollens, in 3 honey samples 3 different pollens were detected and, finally, in only 1 sample 2 different pollens were found. Independently of their colours and based on their pollinic profiles and on the relative abundance of each pollen [34,35], the 65 honey samples were classified as Castanea, Echium, Erica, Lavandula, Prunus and Rubus monofloral honey and, further split according to the 3 main colour groups previously defined: white, amber and dark. Table 2 presents information concerning harvest year, colour classification and pollinic profile (considering only the 3 pollens most predominante) of the honey samples analysed, which enables a detailed overview of the wide variability found for these two important honey characteristics.…”

Section: Honey Colour and Floral Origin Classificationsmentioning

confidence: 99%

Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue

Sousa

Dias

Veloso

et al. 2014

Talanta

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a b s t r a c tColour and floral origin are key parameters that may influence the honey market. Monofloral light honey are more demanded by consumers, mainly due to their flavour, being more valuable for producers due to their higher price when compared to darker honey. The latter usually have a high anti-oxidant content that increases their healthy potential. This work showed that it is possible to correctly classify monofloral honey with a high variability in floral origin with a potentiometric electronic tongue after making a preliminary selection of honey according their colours: white, amber and dark honey. The results showed that the device had a very satisfactory sensitivity towards floral origin (Castanea sp., Echium sp., Erica sp., Lavandula sp., Prunus sp. and Rubus sp.), allowing a leave-one-out cross validation correct classification of 100%. Therefore, the E-tongue shows potential to be used at analytical laboratory level for honey samples classification according to market and quality parameters, as a practical tool for ensuring monofloral honey authenticity.

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Section: Honey Colour and Floral Origin Classificationsmentioning

confidence: 99%

Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue

Sousa

Dias

Veloso

et al. 2014

Talanta

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“…Further work involving a more complete characterization of honey samples by classical analysis (physicochemical, melissopalynological and organoleptic techniques) for confirmation of honey identification [13][14][15], may clarify the results obtained as response of the present electronic device. On the other hand, the influence of the degree of predominance of a pollen type (for instance, samples with pollen predominance higher than 80%) on the differentiation provided by the device deserves further investigation, although it is probably difficult to obtain samples with this characteristic in large numbers.…”

Section: Resultsmentioning

confidence: 93%

“…In general, a honey sample can be classified as Lavandula monofloral honey if its Lavandula pollen content is higher than 15%, and as Erica or Echium monofloral honey if its respective pollen content is higher than 45% [12,13]. Large variations in pollen content are the result of large differences in the botanical composition of ecosystems around the apiaries.…”

mentioning

confidence: 99%

An electronic tongue for honey classification

et al. 2008

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Abstract. An electronic tongue system was developed based on 20 all-solid-state potentiometric sensors and chemometric data processing, with polymeric membranes applied on solid conducting silver-epoxy supports and a Ag=AgCl reference electrode. The sensor array was applied to 52 commercial honey samples obtained randomly from different regions of Portugal. These samples were analysed independently for their pollen profiles by biological techniques and the data collected with the tongue were evaluated for discrimination of the samples with multivariate statistical methods (principal component analysis and linear discriminant analysis), to investigate whether the device may provide an analytical alternative for classification of honey samples with respect to pollen type, a task which is time consuming and requires skilled labour when performed by biological techniques. It was found that the tongue has a reasonable efficiency for classification of honey samples of the most common three types (with Erica, Echium and Lavandula as predominant pollens). With linear discriminant analysis, the honey samples yielded about 84% classification accuracy and 72% for crossed validation. In this study, the honey samples correctly classified for the different types of the dominant pollen were: 53% for Lavandula, 83% for Erica and 78% for Echium pollen.Keywords: Honey; pollen; electronic tongue; multivariate analysis Multi-sensor arrays that provide global information on complex samples have deserved much interest recently. Instead of measuring specific parameters, these devices acquire global information which, after treatment by appropriate chemometric methods, can be used for multicomponent classification analysis, taste evaluation, etc. Electrochemical sensor arrays or electronic tongues built with non-specific, low-selectivity, chemical sensors with high stability and cross sensitivity to different species in solution, are suitable for analysing complex liquid samples [1]. Electronic tongues or taste sensors based on different electrochemical principles, such as potentiometry [2][3][4][5][6] or voltammetry [7,8], have been described. Several array types have been tested for potentiometric devices, namely chalcogenide glass sensors [3][4][5], lipid=poly-meric membranes [2,6] and ion selective membranes [9]. The signal profiles generated by such devices vary with the characteristics of different samples and upon data treatment with multivariate statistical methods for pattern recognition (identification, classification

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“…9 Pollen and honey type identification were carried out according to the Harmonized methods of melissopalynology. 10 The identification and counting of pollen grains was performed under Hund h 500 (Wetzlar, Germany) light microscope attached to a digital camera (Motic m 1000) and coupled to an image analysis system (Motic Images Plus software) for morphometric analysis of pollen grains (at 400 × magnification). Pollen grains were identified using personal reference pollen collection in the form of native preparations and literature data.…”

Section: Generalmentioning

confidence: 99%

Characterization of Summer Savory (Satureja hortensis L.) Honey by Physico-Chemical Parameters and Chromatographic / Spectroscopic Techniques (GC-FID/MS, HPLC-DAD, UV/VIS and FTIR-ATR)

Jerković¹,

Tuberoso²,

Baranović³

et al. 2015

Croat. Chem. Acta

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Abstract. Satureja hortensis L. unifloral honey was characterized by pollen analysis, electrical conductivity, pH and extensively by chromatographic and spectroscopic techniques. UV / VIS spectroscopy measurements revealed total phenol content of 682.1 mg GAE / kg by Folin-Ciocalteu assay, antioxidant capacity by DPPH assay of 1.7 mmol TEAC / kg and by FRAP assay of 4.3 mmol Fe 2+ / kg as well as CIE L*a*b*C ab *h°a b chromaticity coordinates. GC-MS after headspace solid-phase microextraction (HS-SPME) revealed hotrienol (22.8 %) along with other linalool derivatives, benzaldehyde (6.1 %), phenylacetaldehyde (4.9 %) and few norisoprenoids (safranal (7.6 %) as the major). Ultrasonic solvent extraction (USE) followed by GC-MS allowed identification of methyl syringate (54.7 %) as predominant compound along with other benzene derivatives. HPLC-DAD analysis determined tyrosine (382.0 mg kg −1 ), phenylalanine (140.4 mg kg −1 ) and methyl syringate (39.32 mg kg −1 ). Methyl syringate and hotrienol can be considered non-specific chemical markers of S. hortensis honey. FTIR-ATR spectral characteristics of S. hortensis honey in fingerprinting region were not significantly different from other honey types, but the integrated intensity of the region was smaller than in other unifloral honeys.

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Harmonized methods of melissopalynology

Abstract: International audienc

Cited by 544 publications

References 11 publications

Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue

Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue

An electronic tongue for honey classification

Characterization of Summer Savory (Satureja hortensis L.) Honey by Physico-Chemical Parameters and Chromatographic / Spectroscopic Techniques (GC-FID/MS, HPLC-DAD, UV/VIS and FTIR-ATR)

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