IDENTIFICATION OF TWO TYPES OF ROTTEN MEAT USING AN ELECTRONIC NOSE FOR FOOD QUALITY CONTROL

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 10 , ISSUE 3 (September 2017) > List of articles

IDENTIFICATION OF TWO TYPES OF ROTTEN MEAT USING AN ELECTRONIC NOSE FOR FOOD QUALITY CONTROL

Nihad Benabdellah * / Khalid Hachami / Mohammed Bourhaleb / Naima Benazzi

Keywords : Electronic nose, rotten beef, rotten chicken, sensors, Principal Components Analysis, Discriminate Factorial Analysis, Pattern recognition system.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 10, Issue 3, Pages 673-695, DOI: https://doi.org/10.21307/ijssis-2017-229

License : (CC BY-NC-ND 4.0)

Received Date : 29-May-2017 / Accepted: 25-July-2017 / Published Online: 01-September-2017

ARTICLE

ABSTRACT

Microorganisms are contained in all foods, some of them don't pose a risk for consumers, but many others became pathogenic, because of bad conservation or expired dates. Food will be degraded when the number of microorganisms became very large. The focus in this paper will be on the design of an electronic nose used in detecting rotten food. This nose is applied to detect bad odor diffused by rotten beef, and rotten chicken those meat have almost the same odor at rottenness which is not easily identified by human. Durations and gases emit of its rotten are determined by the pattern recognition methods PCA (Principal Components Analysis) for classification and DFA (Discriminate factorial analysis) for dating, and we will be identify between those rotten meat by DFA method.

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