• DocumentCode
    1899124
  • Title

    Non-destructive testing of olive oil off-flavors by means of a micro-optic smart cap

  • Author

    Mignani, A.G. ; Ciaccheri, L. ; Mencaglia, A.A. ; Paolesse, R. ; Mastroianni, M. ; Monti, D. ; Buonocore, G. ; Nobile, M. A Del ; Mentana, A. ; Grimaldi, M.F.

  • Author_Institution
    CNR IFAC, Sesto Fiorentino
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    1108
  • Lastpage
    1111
  • Abstract
    The design and experimental setup of a smart cap are presented. It is capable of sniffing the vapors of extra virgin olive oil, thus alerting the consumer or the retailer of any rancid flavor. The cap is made of an array of metalloporphyrin-based optochemical sensors, the colors of which are modulated by the concentration of aldehydes, the main responsible for rancid off-flavors. A micro-optic device, implemented to simulate a cap prototype, is presented. The spectral response of the chromophore-array is processed by means of multivariate data analysis so as to achieve an artificial olfactory perception of oil aroma and, consequently, an indication of oil ageing and rancidity. In practice, the cap prototype proved to be a device for non-destructive testing of bottled oil quality.
  • Keywords
    bottling; chemical sensors; intelligent sensors; micro-optics; microsensors; nondestructive testing; optical arrays; optical sensors; quality control; sensor arrays; vegetable oils; aldehydes concentration; artificial olfactory perception; bottled oil quality; chromophore-array; metalloporphyrin-based optochemical sensor array; microoptic smart cap; multivariate data analysis; nondestructive testing; oil ageing; oil aroma; oil rancidity; olive oil rancid off-flavors; retailer; spectral response; Aging; Chemical analysis; Chemical sensors; Data analysis; Intelligent sensors; Nondestructive testing; Olfactory; Petroleum; Prototypes; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2008 IEEE
  • Conference_Location
    Lecce
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-2580-8
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2008.4716634
  • Filename
    4716634