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Electronic nose system for meat quality evaluation

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  026094,  2002 ASAE Annual Meeting. (doi: 10.13031/2013.24118) @2002
Authors:   1Suranjan, Panigrahi, 2Unal Kizil, 3Sundar Valasuvramanyan, 4Curt Doetkott, 5Catherine Logue, 6Marty Marchello, 7Huanzhong Gu, 8Aleksander Kubiak, 9Lisa Nolan, 10Joe Schneider, 11Richard Wiens
Keywords:   Keywords: Intelligent quality sensors, electronic nose, artificial nose, pattern recognition, clustering, fuzzy logic, food safety

Abstract: This paper provides an overview of the development of prototype of electronic nose system using metal oxide detectors. Experiments were conducted to identify and discriminate the variations of meat quality due to different storage conditions using response of specific (H2S and methane) sensors. Acquired sensors responses were further processed and subsequently analyzed using mixed model repeated approach and fuzzy c-mean clustering technique. Performance of these analysis are reported.

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