Respiration Rate Model And Storage Quality Model Of Agaricus Bisporus Based On Multiple Environmental Factors Driving

Respiration is the main postharvest physiological and biochemical processes of Agaricus bisporus, and is the most important reason for the change of the physiological structure. Using low temperature storage, controlled atmosphere storage and modified atmosphere packaging and can effectively delay the Agaricus bisporus respiration rate,so that these method can maintain the excellent quality. Respiration rate model can provide the important theoretical basis for the design of storage method and the research of respiration characteristics of Agaricus bisporus. In order to solve the problems in modeling and applications of Agaricus bisporus respiration rate and storage quality, three parts were studied in this paper.1.The influence of controlled atmosphere storage system parameters temperature and carbon dioxide concentration to the storage quality Agaricus bisporus are studied. The study showed that the storage temperature and the carbon dioxide concentration had significant effect on the quality index of post harvest Agaricus bisporus(P<0.05). With the decrease of storage temperature inhibited the increase of respiration,delayed the arrival of the respiratory peak and inhibited the decline of storage quality. But the mushroom storaged in the 0℃ would prone to chilling injury. With the increase of CO2 concentration delayed the increase of the weight loss rate and the decrease of the hardness. High CO2 concentration can significantly(P<0.05) inhibit the respiration rate and make the change of soluble solids and enzyme activity slowly. When CO2 concentration was 20%, the storage quality was best.2.A theoretical model of respiration rate of Agaricus bisporus for time, based on the enzyme kinetics equation, was established. The effect of storage time on the respiration rate of Agaricus bisporus were studied at 5℃and the respiration models of Agaricus bisporus based on this were established. After that, effects of storage temperature(5℃、10℃、15℃、20℃) on the respiration rate and established model parameters were studied.Based on the model, temperature dependence of the model parameters was evaluated using an Arrhenius plot, and the model incorporating temperature and time were established.Based on the time model, O2 and CO2 dependence of the model parameters was evaluated using langmuir adsorption theory, and the model incorporating concentration and time were established. Model coefficients of determination were above 0.90. Verification tests showed that, the difference between the model and the measured value was not significant(P>0.05).The respiration rate model can provide the important theoretical basis for the prediction of respiratory rate and the research of storage quality in the process of storageand transportation of Agaricus bisporus.3.Agaricus bisporus storage quality properties(including whiteness, hardness, soluble solid, membrane permeability) model were estimated through the storage time, storage temperature and dry matter decomposition based on BP neural network using matlab. The simulated results showed that the model can achieve goal error 10-5 and the relative error was 0.13%-8.72%. Agaricus bisporus storage quality properties(including whiteness,hardness, weight loss rate) model were estimated through the storage time, CO2 concentration and dry matter decomposition based on BP neural network using matlab. The result showed that the model had high precision and the relative error was 0.33%-14.55%.Neural network model provides a new idea for the prediction of storage quality.