• DocumentCode
    189959
  • Title

    MOX-NW Electronic Nose for detection of food microbial contamination

  • Author

    Sberveglieri, G. ; Zambotti, G. ; Falasconi, M. ; Gobbi, E. ; Sberveglieri, V.

  • Author_Institution
    Dip. di Ing. dell´Inf., Univ. di Brescia, Brescia, Italy
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    1376
  • Lastpage
    1379
  • Abstract
    Gas chemical sensors were identified in the past few years as valuable candidate for food safety controls, e.g. early diagnosis of microbial contamination. Microbial management is a crucial task in food processing industry all along the entire food production chain; residual contamination may lead to loss of quality and, if the microorganisms are pathogens, can bring about severe risks for consumers´ health. For this reason an accurate and fast control of production using, possibly, at-line sensor systems is highly demanded. In this work we present the industrial application of an Electronic Nose based on metal oxide nanowire (MOX-NW) sensors for the screening of two food matrices (tomato paste and vegetable soups) contaminated with different microorganisms (yeasts and bacteria). The EN was able to detect microbial contamination in about 24 hours at very low inocula concentration, less than 1 CFU/ml.
  • Keywords
    contamination; electronic noses; food safety; microorganisms; nanowires; quality control; risk analysis; MOX-NW electronic nose; bacteria; consumer health risks; food microbial contamination detection; food processing industry; food production chain; food safety control; gas chemical sensors; metal oxide nanowire sensors; microbial management; pathogens; quality; tomato paste; vegetable soups; yeasts; Compounds; Contamination; Correlation; Earth Observing System; Electronic noses; Metals; Microorganisms; bacteria; electronic nose; food spoilage screening; metal oxide sensors; nanowires; tomato; vegetable soups; yeasts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985268
  • Filename
    6985268