Method and system for predicting the number of microorganisms in cold-chain meat

Abstract

The present invention relates to a method for predicting the number of microorganisms in cold-chain meat. The method comprises: S1: adopting an odor sensor array system to sample headspace volatile odor of the cold-chain storage meat, and synchronously detecting the total number of colonies; S2: carrying out characteristic extraction and analysis on the obtained sensor data and the total number of the colonies; and S3: adopting a linear determination method to carry out clustering distinguishing on the total numbers of different colonies in the meat, and establishing a predictive model between the odor sensor response signal and the total number of the colonies. The present invention provides the rapid prediction and accurate technical approach for the safety of the microorganisms in the pork during the logistic process. The present invention further discloses a system for predicting the number of the microorganisms in the cold-chain meat.

Description

technical field [0001] The invention relates to the technical field of computer agriculture, in particular to a method and system for predicting the number of microorganisms in cold-chain meat. Background technique [0002] Odor is an important indicator for evaluating the freshness of meat, and the change of odor during storage indicates the quality change. The growth and reproduction of microorganisms will use nutrients such as protein, fat, and carbohydrates in meat to produce low-level volatile amines, fatty acids, acids and other mixed odor components. Microbial spoilage is the main reason for meat deterioration. By monitoring the microbial production The odor of volatile products can predict the number of microorganisms, which has become an important means of food quality monitoring. The new odor sensor array and its system can simulate the human olfactory system to objectively and quickly distinguish complex volatile odors in meat, and have been widely used in the qu...

AI Technical Summary

Problems solved by technology

The new odor sensor array and its system can simulate the human olfactory system to objectively and quickly distinguish complex volatile odors in meat, and have been widely used in the quality identification and freshness determination of milk, grains, wine, aquatic products, etc. ; There are also studies using the response of the sensor array system to the smell of meat to identify the types of microorganisms, but few reports have been used to predict the number of microorganisms

At present, the detection of the total number of bacterial colonies in meat is based on traditional microbial inoculation, cultivation, counting and other methods, and the pretreatment process and operation steps are complicated, time-consuming and laborious, which cannot meet the needs of the logistics and distribution process to obtain the number of microorganisms in a timely manner and quickly evaluate meat. microbiological food safety

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