Prediction model of shelf life of Trichiurus haumela using an electric nose

An electric nose was used to evaluate the quality of the Trichiurus haumela under different storage periods and storage temperatures. The raw data of the Trichiurus haumela of the electric nose analysis were analyzed by principal compounds analysis (PCA) and shelf life (SL). The Q10 model of the Trichiurus haumela by applying both chemical (TVBN assays) and olfactometric (e-nose) methods was developed. The results showed that the sample stored at 273 K and 283 K could be well discriminated by 18 Metal Oxide Sensors. Changes in total volatile base-nitrogen (TVBN) and total viable count (TVC) of Trichiurus haumela with respect to different storage time and temperatures conformed to the first kinetic model with highly regression coefficients(R2＞0.9). Shelflife function of Alphasoft11.0 and Arrhenius kinetic model were developed to predicted the shelf life of Trichiurus haumela. It showed from the reliability assessment between predicted and observed shelf-life that relative error was within 20 % calculated by the prediction model for the shelf-life of Trichiurus haumela. The remaining shelf-life of Trichiurus haumela can be predicted at the storage temperatures from 268 to 293 K by using Q10 model.