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Discriminatory power assessment of the sensor array of an electronic nose system for the detection of non alcoholic beer aging

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  • Mahdi GHASEMI-VARNAMKHASTI

    (Technology, University of Tehran, Karaj, Iran
    Laboratoire d'Automatique et de Sciences Comportementales (LASC), Université Paul Verlaine-Metz, Metz, France)

  • Seyed Saeid MOHTASEBI

    (Technology, University of Tehran, Karaj, Iran)

  • Maryam SIADAT

    (Laboratoire d'Automatique et de Sciences Comportementales (LASC), Université Paul Verlaine-Metz, Metz, France)

  • Seyed Hadi RAZAVI
  • Hojat AHMADI

    (Technology, University of Tehran, Karaj, Iran)

  • Amadou DICKO

    (Laboratoire de Chimie et de Méthodologies pour l'Environnement (LCME), Université Paul Verlaine-Metz, Metz, France)

Abstract

Many chemical changes in beer aroma occur during storage (aging), and monitoring these changes could give guidelines to the brewers how to manage and control the brewing process to obtain the final product with a high stability in flavour after packaging. In this regard, our laboratory aimed at a research into the application of an electronic nose in order to get the fingerprint of the change of non alcoholic beer aroma during aging. Th discriminatory power of the sensor array of this system was evaluated. Principal Component Analysis (PCA) and Soft Independent Modelling of Class Analogy (SIMCA) techniques were used for this purpose. The results obtained can direct us to performing other parts of our project. Considering the discriminatory power of the sensor array used, we can develop the application of a specific electronic nose system by picking up the most effective sensors or ignoring the redundant sensors.

Suggested Citation

  • Mahdi GHASEMI-VARNAMKHASTI & Seyed Saeid MOHTASEBI & Maryam SIADAT & Seyed Hadi RAZAVI & Hojat AHMADI & Amadou DICKO, 2012. "Discriminatory power assessment of the sensor array of an electronic nose system for the detection of non alcoholic beer aging," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 30(3), pages 236-240.
    • Handle: RePEc:caa:jnlcjf:v:30:y:2012:i:3:id:165-2011-cjfs
    DOI: 10.17221/165/2011-CJFS
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    Cited by:

    1. Alireza SANAEIFAR & Seyed Saeid MOHTASEBI & Mahdi GHASEMI-VARNAMKHASTI & Hojat AHMADI & Jesus LOZANO, 2014. "Development and application of a new low cost electronic nose for the ripeness monitoring of banana using computational techniques (PCA, LDA, SIMCA and SVM)," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 32(6), pages 538-548.

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