| Autor: |
Ryan Nord, M. J. Marchello, Suranjan Panigrahi, Huanzhong Gu, Catherine M. Logue, Sundar Balasubramanian |
| Rok vydání: |
2004 |
| Předmět: |
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| Zdroj: |
2004, Ottawa, Canada August 1 - 4, 2004. |
| Popis: |
Foodborne illness is a significant problem of current focus. Electronic nose, or artificial nose, technology is a promising non-destructive evaluation tool for food quality assessment. Mixed metal oxide detector-based electronic nose system was developed and fabricated. Customized electronics were developed to operate detectors at different operating temperatures. Experiments were conducted to evaluate the performance of the electronic nose system for classifying spoiled and Salmonella contaminated samples. Meat samples were stored at two storage temperatures of 3oC and 10oC under simulated real world packaging conditions. Data analyses from the experiments utilized linear and quadratic discrimination method with bootstrapping techniques. A maximum accuracy of 90% and 89% were obtained for spoilage and Salmonella classification, respectively. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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