1. Investigation of Different Gas Sensor-Based Artificial Olfactory Systems for Screening Salmonella typhimurium Contamination in Beef
- Author
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Jayendrakumar Amamcharla, Suranjan Panigrahi, Sundar Balasubramanian, Catherine M. Logue, M. J. Marchello, and Julie S. Sherwood
- Subjects
education.field_of_study ,Salmonella ,Electronic nose ,Process Chemistry and Technology ,Population ,Contamination ,Quadratic classifier ,Linear discriminant analysis ,Sensor fusion ,medicine.disease_cause ,Industrial and Manufacturing Engineering ,medicine ,Environmental science ,Food science ,Safety, Risk, Reliability and Quality ,education ,Food Science - Abstract
Two different electronic nose systems (metal oxide and conducting polymer based) were used to identify Salmonella typhimurium contaminated beef strip loin samples (stored at two temperatures). The sensors present in the two systems were ranked based on their Fisher criteria of ranking to evaluate their importance in discriminant analysis. The most informative sensors were then used to develop linear discriminant analysis and quadratic discriminant analysis-based classification models. Further, sensor signals collected from both the sensor systems were combined to improve the classification accuracies. The developed models classified meat samples based on the Salmonella population into “No Salmonella” (microbial counts
- Published
- 2010
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