Rapid Detection of the Freshness of Jiangping Shrimp by Electronic Nose, Principal Component Analysis and Linear Regression Fitting Model

WANG Xiaolong;MA Huawei;TAN Rijian;LU Yan;YAN Feng;CHEN Junfei;MO Naijing;HUANG Qixi;Fangchenggang Institute for Food and Drug Control;Guangxi Academy of Fishery Sciences;Fangchenggang Fisheries Technology Extension Station;Fangchenggang Testing Center for Aquatic Product Quality and Safety;

Jiangping shrimp;;electronic nose;;principal component analysis;;linear regression fitting model;;freshness

The freshness of Jiangping shrimp stored under refrigeration was qualitatively and quantitatively analyzed by electronic nose-principal component analysis-linear regression fitting model(EN-PCA-LRFM). Jiangping shrimp with different refrigeration times were detected with an electronic n ose, the response values to volatile components were collected for qualitative and quantitative analysis by PCA and LREM, respectively. Lastly, an EN-PCA-LRFM method was presented to evaluate the freshness of refrigerated shrimp as a function of storage time. The results showed that sensor S1, S3, S4, S5 and S6 in the electronic nose gave better response to the samples in eight groups, and the mean response values between 45 and 49 s were selected as eigenvalues. PCA allowed complete discrimination of the samples with different refrigeration times and therefore could be used for qualitative analysis. The correlation coefficient of the developed LREM model was 0.884 1, and there was a linear relationship between the predicted and actual values, which showed that this model had good generality. Therefore, this study demonstrated the viability of using the EN-PCA-LRFM method to qualitatively and quantitatively analyze the freshness of Jiangping shrimp.