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European Food Research and Technology

, Volume 242, Issue 2, pp 259–270 | Cite as

Monovarietal extra-virgin olive oil classification: a fusion of human sensory attributes and an electronic tongue

  • Luís G. Dias
  • Nuno Rodrigues
  • Ana C. A. Veloso
  • José A. Pereira
  • António M. Peres
Original Paper

Abstract

Olive oil quality grading is traditionally assessed by human sensory evaluation of positive and negative attributes (olfactory, gustatory, and final olfactory–gustatory sensations). However, it is not guaranteed that trained panelist can correctly classify monovarietal extra-virgin olive oils according to olive cultivar. In this work, the potential application of human (sensory panelists) and artificial (electronic tongue) sensory evaluation of olive oils was studied aiming to discriminate eight single-cultivar extra-virgin olive oils. Linear discriminant, partial least square discriminant, and sparse partial least square discriminant analyses were evaluated. The best predictive classification was obtained using linear discriminant analysis with simulated annealing selection algorithm. A low-level data fusion approach (18 electronic tongue signals and nine sensory attributes) enabled 100 % leave-one-out cross-validation correct classification, improving the discrimination capability of the individual use of sensor profiles or sensory attributes (70 and 57 % leave-one-out correct classifications, respectively). So, human sensory evaluation and electronic tongue analysis may be used as complementary tools allowing successful monovarietal olive oil discrimination.

Keywords

Single-cultivar extra-virgin olive oil Sensory analysis Potentiometric electronic tongue Linear multivariate methods Simulated annealing algorithm 

Notes

Acknowledgments

This work was co-financed by FCT/MEC and FEDER under Program PT2020 (Project UID/EQU/50020/2013); by Fundação para a Ciência e Tecnologia under the strategic funding of UID/BIO/04469/2013 unit; and by Project POCTEP through Project RED/AGROTEC—Experimentation network and transfer for development of agricultural and agro industrial sectors between Spain and Portugal.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Compliance with Ethics Requirements

This article does not contain any studies with human or animal subjects.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Luís G. Dias
    • 1
    • 2
  • Nuno Rodrigues
    • 3
  • Ana C. A. Veloso
    • 4
    • 5
  • José A. Pereira
    • 3
  • António M. Peres
    • 6
  1. 1.Escola Superior AgráriaInstituto Politécnico de BragançaBragançaPortugal
  2. 2.CQ-VR, Centro de Química – Vila RealUniversity of Trás-os-Montes e Alto DouroVila RealPortugal
  3. 3.CIMO - Mountain Research Centre, Escola Superior AgráriaInstituto Politécnico de BragançaBragançaPortugal
  4. 4.Instituto Politécnico de Coimbra, ISEC, DEQBCoimbraPortugal
  5. 5.CEB - Centre of Biological EngineeringUniversity of MinhoBragaPortugal
  6. 6.LSRE - Laboratory of Separation and Reaction Engineering - Associate Laboratory LSRE/LCM, Escola Superior AgráriaInstituto Politécnico de BragançaBragançaPortugal

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