Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR

Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR

The chemical composition of bee pollens differs greatly and depends primarily on the botanical origin of the product. Therefore, it is a crucially important task to discriminate pollens of different plant species. In our work, we aim to determine the applicability of microscopic pollen analysis, spe...

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Bibliographic Details
Main Authors: László Sipos, Rita Végh, Zsanett Bodor, John-Lewis Zinia Zaukuu, Géza Hitka, György Bázár, Zoltan Kovacs
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
CIE <i>L</i>*<i>a</i>*<i>b</i>* colour coordinates
spectra
palynological analysis
electronic nose
electronic tongue
sensory panel performance
Online Access:https://www.mdpi.com/1424-8220/20/23/6768

Internet

https://www.mdpi.com/1424-8220/20/23/6768

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