2018
DOI: 10.3390/s18114065
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Characterization of Sicilian Honeys Pollen Profiles Using a Commercial E-Tongue and Melissopalynological Analysis for Rapid Screening: A Pilot Study

Abstract: Honey is usually classified as “unifloral” or “multifloral”, depending on whether a dominating pollen grain, originating from only one particular plant, or no dominant pollen type in the sample is found. Unifloral honeys are usually more expensive and appreciated than multifloral honeys, which highlights the importance of honey authenticity. Melissopalynological analysis is used to identify the botanical origin of honey, counting down the number of pollens grains of a honey sample, and calculating the respecti… Show more

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Cited by 20 publications
(11 citation statements)
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“…We observed the possible use of e-tongue to differentiate M. scutellaris honey through the determination of physicochemical parameters and metals (Table 3 and Figures 3 and 4). Di Rosa et al (2018) found a similar result for A. mellifera honey. However, these authors used this analytical equipment along with the melissopalynological analysis, and were able to discriminate the different honey types by the pollen profile of each sample.…”
Section: E-tongue Analysissupporting
confidence: 65%
“…We observed the possible use of e-tongue to differentiate M. scutellaris honey through the determination of physicochemical parameters and metals (Table 3 and Figures 3 and 4). Di Rosa et al (2018) found a similar result for A. mellifera honey. However, these authors used this analytical equipment along with the melissopalynological analysis, and were able to discriminate the different honey types by the pollen profile of each sample.…”
Section: E-tongue Analysissupporting
confidence: 65%
“…BL5H is orange honey coming from Polistena (Reggio Calabria, Italy, 38°24′ N 16°04′ E), 254 m a.s.l., 20 km from the Ionic coast; it was kindly donated by “La boutique del miele” of Teresa Marcone. The multifloral origin was assessed by melissopalynological analysis [24] (Figure 1).…”
Section: Methodsmentioning
confidence: 99%
“…Each measurement lasted 120 s, and the sensors were rinsed for 10 s with bi-distilled water after every acquisition. Measurement data, obtained for each solution, was taken as the average of the last 10 s. Moreover, prior to each analysis cycle, the sensors were conditioned and calibrated with aqueous hydrochloric acid 0.01 M as recommended by the manufacturer [33][34][35]. Heated milk usually experiences a color change; for this reason, computer vision has been used to control the possible alterations.…”
Section: Artificial Sensory Analysesmentioning
confidence: 99%