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Advisor(s)
Abstract(s)
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.
Description
Keywords
Honey Pollen Electronic tongue Multivariate analysis
Citation
Dias, L.G.; Peres, A.M.; Vilas-Boas, Miguel; Rocha, Maria A.; Estevinho, Letícia M.; Machado, A.A.S.C. (2008) – An electronic tongue for honey classification. Microchimica Acta. ISSN 0026-3672. 163:1-2, p. 97–102
