Method for forecasting cooling meat quality variation

Abstract

The invention relates to a method for predicting the quality variation of chilled meat, which comprises researching the total number of bacterial colony, the total volatile basic nitrogen (TVBN) and the color difference and the sense variation of chilled meat under different storage temperatures, and establishing a dynamic model of the quality variation of chilled meat according to each index. The method is beneficial for rapidly and accurately doing dynamic analysis for the quality of chilled meat.

Description

technical field [0001] The invention relates to a method for predicting the dynamic change of chilled meat quality. Background technique [0002] my country is the largest pig raising country in the world. The number of pigs on hand accounts for 51.8% of the world's total, and its pork production accounts for 46.8% of the world's total. Relevant data show that in 2006, the country's total meat output reached 80.51 million tons, accounting for nearly 30% of the world's total meat output, of which pork output was 51.97 million tons, accounting for 46.8% of the world's total pork output, ranking first in the world. It accounts for 64.5% of all meat production in our country. The proportion of pork in my country's meat consumption is as high as 66.8%. It can be seen that pork is the species with the largest proportion in all meat consumption, and its safety is related to the health and life safety of the people, and most meat safety accidents also occur in pork. Therefore, ens...

AI Technical Summary

Problems solved by technology

However, if the cold chain system is not perfect, it will affect the quality and safety of chilled meat

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