Rapid Non-destructive Testing for K Values of Silver Carps based on the Olfactory Visualization Technique
Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials
Abstract:
In this study, the olfactory visualization technique was used to predict the K values of silver carps quantitatively. The samples stored at 4 ℃ for several days were detected by the olfactory visualization technique non-destructively. The signals of the colorimetric sensor array respond to the volatile compounds were obtained. Meanwhile, the content of adenosine triphosphate related compounds in the samples was measured by HPLC and K values were calculated. Finally, the partial least squares (PLS) and genetic algorithm-partial least squares (GA-PLS) quantitative prediction models were established based on the odor characteristic information and K values. The results showed that the original variables reduced from 48 to 18 and the sensors reduced to 11 after the GA optimization. The performance of GA-PLS model was better than that of PLS. The root mean square error of prediction was 0.04 and the correlation coefficient of prediction was 0.93. The correlation between the measured and predicted K values of the silver carps was very high, therefore, the olfactory visualization technique could be used to predict the silver carp freshness quantitatively. This study provided an accurate, fast, low-cost and non-destructive testing method for fish freshness detection.
