Studies On Changes Of Quality And Prediction Models For Shelf-Life Of Postharvest Agarivus Bisporus

Agaricus bisporns, with white color and good flavor, full of human body’s essential amino acids and vitamins, is highly loved by consumers. However, the postharvest Agaricus bisporus has high respiration rate and easily turns to brown and deterioration, which has resulted in a reduced maket value and limited the circulation of the fruits. Based on the study of the change rules of the physical and chemical indicators and microbial indicators of Agaricus bisporus which were storaged at different temperatures, the shelf-life prediction models of Agaricus bisporus were estabilished. These models would provide the basis on optimal control of the logistics technology of Agaricus bisporus. The results of the study were as follows.1. The change of Agaricus bisporus’physical and chemical indicators (L,* browning degree, firmness, et al) and the microbial indicators (Pseudomonas) were studied at 2,10,16 and 22℃, and the test dates were fitted by Matlab software.(1) The models were established with the physical and chemical indicators of Agaricus bisporus, such as L,* AE, b,* browning degree, firmness, weight loss rate, cell membrane permeability and ethanol content. The fitting effects were good and these models were verified that the average relative error (P) was less than 10%. To avoid the previous tedious record of temperature and time, the dynamics model for L* based on ethanol content was developed. This model further provided the basis for real-time monitoring of Agaricus bisporus’decay.(2) Using Gompertz model to establish the growth level dynamics model of Pseudomonas, the accuracy of the measured and predicted value was close to 1. Using square root model to establish the secondary growth model of Pseudomonas, the measured and predicted residual values were less than 0.1. The results showed that the primary model and the secondary model were credible.2. After the correlation analysis of sensory scores and physical and chemical indicators of Agaricus bisporus, the study selected L* to establish the shelf life model of Agaricus bisporus and the average relative error (P) was less than 10%., indicating that the model was feasible.3. To determine the limitation of Pseudomonas’corruption and the maximum number of colonies, the shelf-life model of Agaricus bisporus was established based on the idexs of Pseudomonas. According to the determination of the initial colonies can predict the shelf-life remaining of Agaricus bisporus.4. The shelf-life models were used to calculate the shelf-life remaining of Agaricus bisporus after circulation and establish the shelf-life of Agaricus bisporus commodity classification standard. These applications can provide technical guidance on the circulation and sales of Agaricus bisporus.