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Sensors 2018, 18(11), 4065; https://doi.org/10.3390/s18114065

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

1
Dipartimento di Scienze Veterinarie, Università degli Studi di Messina, 98168 Messina, Italy
2
Istituto Zooprofilattico Sperimentale della Sicilia, 95125 Catania, Italy
3
Dipartimento di Scienze Chimiche, Biologiche, Farmaceutiche ed Ambientali, Università degli Studi di Messina, 98167 Messina, Italy
*
Author to whom correspondence should be addressed.
Received: 22 October 2018 / Revised: 18 November 2018 / Accepted: 20 November 2018 / Published: 21 November 2018
(This article belongs to the Section Chemical Sensors)
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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 respective percentages of the nectariferous pollens. In addition, sensory properties are also very important for honey characterization, and electronic senses emerged as useful tools for honey authentication. In this work, a comparison of the results obtained from melissopalynological analysis with those provided by a potentiometric electronic tongue is given, resulting in a 100% match between the two techniques. View Full-Text
Keywords: honey; artificial senses; E-tongue; melissopalynological analysis; data fusion honey; artificial senses; E-tongue; melissopalynological analysis; data fusion
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Di Rosa, A.R.; Marino, A.M.F.; Leone, F.; Corpina, G.G.; Giunta, R.P.; Chiofalo, V. Characterization of Sicilian Honeys Pollen Profiles Using a Commercial E-Tongue and Melissopalynological Analysis for Rapid Screening: A Pilot Study. Sensors 2018, 18, 4065.

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