|
|
Total volatile basic nitrogen prediction models of Pampus argenteus based on olfaction visualization detection technique |
School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China |
|
|
Abstract TVB-N contents of Pampus argenteus samples stored in refrigerator at constant temperature of 4 ℃ were measured by semimicro-fixation of nitrogen method. The headspace volatile gases of Pampus argenteus samples were extracted by olfaction visualization detection system. The RGB value changes
of the colorimetric sensor array before and after exposure to the headspace gas were obtained as the sensor array responses. Partial least squares(PLS)
model and genetic algorithm-partial least square(GA-PLS) model were established and compared. The GA-PLS model is good with the correlation coefficient (RP) between actual value and predicted TVB-N content of 0.851 7 for the validation dataset. There exists a good correlation between the colorimetric sensor array responses and TVB-N content. The olfaction visua-lization detection technique can be used as a rapid way to predict TVB-N content and to evaluate fish freshness with non-destructive test.
|
Received: 16 March 2012
|
|
|
|
|
|
|