Abstract: Beef would be oxidative decomposition and decayed because of enzyme, external environment, microorganisms, and many other factors during the storage. Beef freshness detection is urgently needed. Sensory evaluation method is easily affected by the reviewers and environment. Chemical evaluation is destructive and tedious. Therefore, it is necessary to seek a rapid detection method to monitor the freshness of the beef in the storage and transportation. Beef samples are placed in the 5 ℃ cold sealed and the -5 ℃ frozen sealed conditions respectively. Beef samples are detected by using the method of total volatile basic nitrogen(TVB-N), constant temperature drying and texture profile analysis (TPA) in the two storage conditions during different storage days（0, 3, 6, 9, 12, 15 d）. The freshness keeps longer in the -5 ℃ frozen sealed condition than that in the 5 ℃ cold sealed condition. The water content decreased in the two conditions, water content decreased in the -5 ℃ frozen sealed condition is more than that in the 5 ℃ cold sealed condition. The laws of texture parameters (hardness, resilience) during the storage days are analyzed. With increase of storage days in two conditions, hardness 1 and hardness 2 shows decreasing trends. In the condition of 15 days storage, the value of hardness 1 and hardness 2 are closed. The value of hardness 1 and hardness 2 that beef stored in 5 ℃ cold sealed condition are higher than that beef stored in -5 ℃ frozen sealed condition during 0-15 days. With increasing of storage days, resilience is decreased. Beef is stored in 5℃ cold sealed condition has a better resilience than that in -5 ℃ frozen sealed condition in 0-15 days. The test result of adhesiveness is stochastic and can’t accurately reflect the chewing, the meat fibers on the tongue, teeth, jaw and other contact surface adhesion properties of beef. The method of two-way ANOVA is used to analyze the influence to the texture parameters. The results present that resilience are significantly influenced by the storage time and storage temperature (P<0.05). Correlation analysis of texture parameters and freshness in the 2 storage conditions are done. In 5 ℃ cold sealed condition, the correlation coefficient between hardness1, hardness 2, resilience, adhesiveness and freshness are -0.89791, -0.92072, -0.88443, -0.34857; in -5 ℃ frozen sealed condition, the correlation coefficient between hardness1, hardness 2, resilience, adhesiveness and freshness are -0.88818, -0.8976, -0.98148, 0.38746. Correlation of hardness1, hardness 2, resilience and freshness are significant at the 0.05 level in the two conditions. Detect TVB-N value and resilience of the beef in the of 2 ℃cold fresh seal storage condition, TVB-N value and resilience can fit linearly (R2=0.85311). TVB-N value and resilience was significantly correlational (P<0.05). Resilience can be used as detection indicator for beef freshness in storage. This study provides a method for rapid detection of beef freshness, and provides the basis for beef fresh keeping during production and transportation.