The fish freshness was determined using a portable electronic nose which helps farmers for the positioning of their product in the market. With respect to the traditional ones, this approach can be distinguished by employing the headspace or glass syringe method. The current study involves placing a known piece of fish in an enclosed chamber fitted with a sensor, and watching the signals that the sensor detects due to the fish discharges over time. Commercial metal oxide semiconductors based on gas sensors were utilized as samples. Each signal of array’s patterns and sensors respectively were also analyzed. More excellent storage days yielded more signals again. Discovered response patterns are not mass dependent, but after several days of storage, changes resulting from material contamination occur. Two separate patterns of decayed and fresh samples are seen. These circumstances will not affect these patterns; for example, a rotten sample will always show a similar pattern whether it stayed outside for a day or kept in a refrigerator for some days. Therefore, distinguishing between new and old samples is simple and quick. Fuzzy logic supported this conclusion.

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Positioning of Fish/Meat for Sustainable Competition Using Electronic Nose

  • Amit Kumar Pandey,
  • Ruchika Nayyar,
  • Pradeep Verma,
  • Aseervatham Achary

摘要

The fish freshness was determined using a portable electronic nose which helps farmers for the positioning of their product in the market. With respect to the traditional ones, this approach can be distinguished by employing the headspace or glass syringe method. The current study involves placing a known piece of fish in an enclosed chamber fitted with a sensor, and watching the signals that the sensor detects due to the fish discharges over time. Commercial metal oxide semiconductors based on gas sensors were utilized as samples. Each signal of array’s patterns and sensors respectively were also analyzed. More excellent storage days yielded more signals again. Discovered response patterns are not mass dependent, but after several days of storage, changes resulting from material contamination occur. Two separate patterns of decayed and fresh samples are seen. These circumstances will not affect these patterns; for example, a rotten sample will always show a similar pattern whether it stayed outside for a day or kept in a refrigerator for some days. Therefore, distinguishing between new and old samples is simple and quick. Fuzzy logic supported this conclusion.