Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/56409

TitleApplication of an electronic tongue for Tunisian olive oils' classification according to olive cultivar or physicochemical parameters
Author(s)Slim, Souihli
Rodrigues, Nuno
Dias, Luís G.
Veloso, Ana C. A.
Pereira, José A.
Oueslati, Souheib
Peres, António M.
KeywordsElectronic tongue
Chemometrics
Tunisian olive oils
Autochthonous Chetoui olive cultivar
Autochthonous Sahli olive cultivar
Issue dateAug-2017
PublisherSpringer Nature
JournalEuropean Food Research and Technology
CitationSlim, Souihli; Rodrigues, Nuno; Dias, Luís G.; Veloso, Ana C. A.; Pereira, José A.; Oueslati, Souheib; Peres, António M., Application of an electronic tongue for Tunisian olive oils' classification according to olive cultivar or physicochemical parameters. European Food Research and Technology, 243(8), 1459-1470, 2017
Abstract(s)Olive oil commercialization has a great impact on the economy of several countries, namely Tunisia, being prone to frauds. Therefore, it is important to establish analytical techniques to ensure labeling correctness concerning olive oil quality and olive cultivar. Traditional analytical techniques are quite expensive, time consuming and hardly applied in situ, considering the harsh environments of the olive industry. In this work, the feasibility of applying a potentiometric electronic tongue with cross-sensitivity lipid membranes to discriminate Tunisian olive oils according to their quality level (i.e., extra virgin, virgin or lampante olive oils) or autochthonous olive cultivar (i.e., cv Chétoui and cv Shali) was evaluated for the first time. Linear discrimination analysis coupled with the simulated annealing variable selection algorithm showed that the signal profiles of olive oils hydroethanolic extracts allowed olive oils discrimination according to physicochemical quality level (classification model based on 25 signals enabling 84 ± 9% correct classifications for repeated K-fold cross-validation), and olive cultivar (classification model based on 20 signals with an average sensitivity of 94 ± 6% for repeated K-fold cross-validation), regardless of the geographical origin and olive variety or the olive quality, respectively. The results confirmed, for the first time, the potential discrimination of the electronic tongue, attributed to the observed quantitative response (sensitivities ranging from 66.6 to +57.7 mV/decade) of the E-tongue multi-sensors towards standard solutions of polar compounds (aldehydes, esters and alcohols) usually found in olive oils and that are related to their sensory positive attributes like green and fruity.
TypeArticle
URIhttps://hdl.handle.net/1822/56409
DOI10.1007/s00217-017-2856-8
ISSN1438-2377
e-ISSN1438-2385
Publisher versionhttp://www.springer.com/food+science/journal/217
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

Files in This Item:
File Description SizeFormat 
document_46714_1.pdf783,1 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID