Investigation of Different Gas Sensor-Based Artificial Olfactory Systems for Screening Salmonella typhimurium Contamination in Beef
| Autor: | Jayendrakumar Amamcharla, Suranjan Panigrahi, Sundar Balasubramanian, Catherine M. Logue, M. J. Marchello, Julie S. Sherwood |
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| Rok vydání: | 2010 |
| Předmět: |
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 |
| Zdroj: | Food and Bioprocess Technology. 5:1206-1219 |
| ISSN: | 1935-5149 1935-5130 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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