Freshness Quality Prediction of Latelabrax japonicas based on Electronic Nose and Statistic Analysis

The odor fingerprint information of Latelabrax japonicus storage at 0℃ were collected by electronic nose system, and total volatile base nitrogen (TVB-N) value, total number of colonies, and Pseudomonas colony count were measured.Changes of the response value of the electronic nose sensor of Latelabrax japonicus in different storage periods were analyzed in the article, principal component analysis (PCA), linear discriminant analysis (LDA) were used in the data analysis, prediction model of TVB-N, TMA, total number of colonies, and Pseudomonas colony count were built with the partial least squares (PLS). The results showed that the intensity of the response value of electronic nose sensors increased with increasing of the storage time of Latelabrax japonicus. The method of PCA and LDA could be well used to distinguish the Latelabrax japonicus in different storage time.The rapid count prediction model of TVB-N, total number of colonies, the correlation coefficients of PLS calibration models for TVB-N, total number of colonies, and Pseudomonas colony count were 0.9737, 0.8778, 0.5943.However, the correlation coefficients of Pseudomonas prediction model was low, and the model fitting was inadequate, so it was not suitable for the use of PLS to establish Pseudomonas prediction model.The results showed that it was feasible to test the freshness quality of Latelabrax japonicus by electronic nose combined with chemometrics method.