Application of electric nose in shelf life predictive modeling of chilled pork

Electric nose technology was used to evaluate the quality difference of pork under different storage periods and temperatures.Method of principal compounds analysis(PCA)and shelf life(SL)analysis were used to predict the shelf life of pork.The shelf life predictive model of pork by applying both chemical(TVBN assays)and olfactometric(e-nose)methods was developed.The results showed that changes in the aerobic bacterial count and total volatile base-nitrogen(TVBN)of pork with respect to different storage time and temperatures conformed to the first kinetic model with highly regression coefficients(R20.9).The samples stored at different temperatures could be well discriminated by e-nose sensors.Using SL,TVBN analysis and Arrhenius kinetic model,the Q10 value and EA value were obtained,the models of shelf-life of pork stored at 273~283K and 283~293K were SLd=68×2.833283-T10 and SLg=32×2.47l293-T10,respectively.