Microorganism Pollution Situation Of Cold Fresh Pork And Construction Of Predicted Model Of Escherichia Coli

Cold fresh pork is welcomed by its nutrition and flavor, how to control the quality of meat becoming the key point. From this research, microorganism pollution was investigated and treatment was suggested as well as the predicted model was built for Escherichia coli and total bacterial count. The conclusion as follow:(1) Samples where came from processing and apparatus, and Total Plate Count(TPC) and coliform bacteria were detected by the national standard method. The results indicated that Total Plate Count and coliform bacteria have not beyond the national standard. The leaching process after scalding was a key point for removing the carcass surface attached microorganisms, through this step the TPC and coliform bacteria of pig carcass surface were reduced 17.4% and 41.5%, respectively. For the production apparatus, the board is under the serious pollution, followed by the conveyor belt, the last is the tool. The contamination in different production batches was not the same because of personnel and other factors of instability.(2) The research was about to build mathematical models for the growth of TPC in the meat products, which were storaged in different temperatures of 0、4、8、12、16、20 and24 °C. The coefficient of determination(R2) of primary model was probably from 0.9657 to 0.9932, temperature of the storage had the same step with the μmax and reverse to the Lag.And R2 of relationship of temperature with Lag time and μmax in secondary model was 0.9233 and 0.9543, severally. By means of confirmatory experiment we found that the bias factor and accuracy factor of predicted model was 1.2695 and 1.3376, respectively.(3)Studying for Escherichia coli we took that R2 of primary model was range from0.9550 to 0.9924, in secondary model, R2 of relationship of temperature with Lag time andμmax was 0.9757 and 0.9725, severally. The temperature had the same effectiveness to the Escherichia coli and has a higher degree of fitting than total plate count. And the bias factor and accuracy factor of predicted model was 1.1691 and 1.1893, respectively. It could help us to valuate growth situation of microorganism influenced other factors.