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US 6,450,008 B1Granted
Food applications of artificial olfactometry
AssigneeCyrano Sciences, Inc.
InventorsSteven A. Sunshine, Ajoy Roy, Jing Li
Life of this patent
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Abstract
The present invention relates generally to methods and devices for evaluating agriculture products, and more particularly, to assessing and monitoring the quality of food products using electronic noses. A quality control monitoring device (10) is provided having first sensor array (13) located in a first vessel (11) and a second sensor array (14) located in a second vessel (12). An analyzer (15) is set-up with a display (16).
Claims14
A method for monitoring a quality of an agricultural product, said method comprising:
- i) training an array of sensors with a fluid associated with a known agricultural product to generate a first residual standard deviation (s(e)2);
- ii) contacting said array of sensors with said fluid associated with an unknown agricultural product to generate a second residual standard deviation (s(em)2);
- iii) calculating a ratio between said second residual standard deviation and said first residual standard deviation (s(em)2/s(e)2);
- and
- iv) comparing said ratio with an acceptability quotient (F1,df,α), wherein said acceptability quotient is user selected, thereby monitoring said quality of said agricultural product.
2 more elements
A method for monitoring contamination in an agricultural product, said method comprising:
- (i) training an array of sensors with a fluid associated with a known agricultural product to generate a first residual standard deviation (s(e)2);
- (ii) contacting said array of sensors with said fluid associated with an unknown agricultural product to generate a second residual standard deviation (s(em)2);
- (iii) calculating a ratio between said second residual standard deviation and said first residual standard deviation (s(em)2/s(e)2);
- and
- (iv) comparing said ratio with an acceptability quotient (F1,df,α), wherein said acceptability quotient is user selected, thereby monitoring contamination in said agricultural product.
2 more elements
Dependencies are inferred from the claim text.