Relationship Between The Freshness And Elasticity Of Chicken

Nowadays, food safety has become a issue which people concerned most, consumption of insecure food causes sickness to hundreds of millions of people, even brings death to many people annually; Meanwhile, the consequence of food safety incidents enlarges from individual and family to the whole society, which becomes one of the factors affecting the stability of society. Along with the increase of the chicken consumption in PRC, Chicken food safety problems have also increased dramatically. Because the process of storage chicken is vulnerable to corruption, and our chicken freshness inspection technology has failed to keep pace with the development, as a result, there is an urgent need for rapid detection approach of the freshness of chicken. As we all know, chicken and the elasticity of the fresh chicken is closely related to each other, the determination of the elasticity of chicken has a great significance to the judgment of the freshness of chicken. This paper analyzes relationship between the elasticity and the freshness of chicken.This paper makes a research of chicken in the different temperature (0℃, 1℃, 4℃),and analyze the regular among of the TVB-N, pH and the elasticity restoration distance with the storage time changing, and pH, elasticity restoration distance and peak torque, TVB-N relationship; Then TVB-N and PH is the dependent variables, restoration distance and peak torque is the independent variables, that make a correlation coefficient matrix of variables, at last though a equation partial least square it analyze the variables equation, have a clear result F-test examination equation will prove.The main content is following:1. In the different temperatures the TVB-N storage chicken will be changing with the time is changing. If the storage temperature is high, the speed will be fast. So the unary linear regression equation: x₂=7.006061+0.066112x₁-0.000005x₁²+0.000001x₁³ x₂=6.992929 +0.090320x₁-0.000434x₁²+0.000003x₁³ x₂=7.124242-0.004482x₁+0.001420x₁²-0.000004x₁³ Where:x₁—time x₂—TVB-N The unary linear regression equation gives a result TVB-N = 15mg/100g needed time, the results in Table 1:2. When in the different temperature chicken is stored, PH unary linear regression equation with the time changing is: x3=6.598990-0.007061x₁+0.000095x₁²+0.000000x₁³ x3=6.480808+0.003617x₁-0.000042x₁²+0.00000x₁³ x3=6.489394+0.002348x₁-0.000018x₁²+0.000000x₁³ Where:x₁—time x3—pH When chicken is stored in the 0℃,1℃and 4℃,the unary linear regression equation of PH and TVB-N relationship is: x3= 7.349193-0.192431x₂+0.013078x₂²-0.000244x₂³ x3=5.999057+0.108187x₂-0.006609x₂²+0.000143x₂³ x3= 6.582828-0.002164x₂+0.000040x₂²-0.000000x₂³ Where: x₂—TVB-N x3—pH3. When chicken is stored in the different temperatures, the unary linear regression equation of elasticity restoration distance with the time changing is: x4=1.291293-0.008088x₁+0.000064x₁²+0.000000x₁³ x4=1.131283-0.008139x₁+0.000060x₁² -0.000000x₁³ x4=1.055061+0.001150x₁-0.000076x₁²-0.000000x₁³ Where: x₁—time x4—restoration distance When chicken is stored in the 0℃,1℃and 4℃,the unary linear regression equation of PH and TVB-N relationship is: x4=2.285497-0.212993x₂+0.011146x₂²-0.000217x₂³ x4= 1.781985-0.132097x₂+ 0.005334x₂²-0.000081x₂³ x4=0.864375+0.063421x₂-0.006077x₂²+0.000114x₂³ Where: x₂—TVB-N x4—restoration distance4. When in the different temperature chicken is stored, the unary linear regression equation of the elasticity peak torque with the time changing is: x5=1.701475-0.001177x₁-0.000006x₁²-0.000000x₁³ x5= 1.644515-0.006435x₁+0.000023x₁²-0.000000x₁³ x5=1.965475+0.024104x₁-0.000383x₁²+0.000001x₁³ Where: x₁—time x5—peak torque When chicken is stored in the 0℃,1℃and 4℃,the unary linear regression equation of peak torque and TVB-N relationship is: x5=1.833284+0.001354x₂-0.002430x₂²+0.000027x₂³ x5=2.308207-0.117659x₂+0.003230x₂²-0.000034x₂³ x5=-0.195025+ 0.515411x₂-0.031937x₂²+0.000520x₂³ Where: x₂—TVB-N x5—peak torque From all above, From the regression analysis the of the parameters , we can see that the parameters of the regression equation fitting is not so ideal, in order to analyze the relevance of fresh and flexibility batter, this paper have also used the partial least squares to analysis the relationship between them.)5. Different temperatures(0℃,1℃, 4℃) for the chicken storage, the inspection by the experimental data: TVB-N, pH, correlation analysis of chicken elasticity's restoration distance and peak torque, take the Restoration distance and peak torque as independent variables, and take the TVB-N and pH which reflect the Freshness of chicken as dependent variables, use the partial least square in the study of the relationship between the Elasticity and Freshness of the chicken. Which give us the relative formula between them, and get the Significant test by using the F test .(1) When chicken is stored at 0℃It is concluded from the relativity analysis of TVB-N, pH, the restoration distance and the peak torque of chicken that:a. TVB-N has a positive relationship with pH; TVB-N has a negative relationship with the restoration distance; TVB-N has a negative relationship with the peak torque;b. pH has a negative relationship with the restoration distance; TVB-N has a negative relationship with the peak torque; c. The restoration distance has a positive relationship with the peak torque.Then, the restoration distance and the peak torque of the elasticity of chicken are set as independent variables, while the TVB-N and pH are set as dependent variables, and after the regression analysis by way of partial least square, the following unary linear regression equation is come forth: y₁=37.257699-14.056695X₁-7.156852X₂ y₂=7.105599-0.296117X₁-0.150765X₂; Where: X₁- restoration distance; X₂- peak torque. y₁-TVB-N; y₂-pH Upon the F examination to such equation, it turns out that: Equation y₁=37.257699-14.056695X₁-7.156852 becomes significant when significant levelα=0.10; Equation y₂=7.105599-0.296117X₁-0.150765X₂ becomes significant when significant levelα=0.10.(2) When chicken is stored at 1℃It is concluded from the relativity analysis of TVB-N, pH, the restoration distance and the peak torque of chicken that:a. TVB-N has a positive relationship with pH; TVB-N has a negative relationship with the restoration distance; TVB-N has a negative relationship with the peak torque;b. pH has a negative relationship with the restoration distance; TVB-N has a negative relationship with the peak torque;c. The restoration distance has a positive relationship with the peak torque. Then, the restoration distance and the peak torque of the elasticity of chicken are set as independent variables, while the TVB-N and pH are set as dependent variables, and after the regression analysis by way of partial least square, the following unary linear regression equation is come forth: y₁=41.488324-15.347356X₁-11.783711X₂ y₂=7.045099-0.243584X₁-0.187024X₂; Where: X₁- restoration distance; X₂- peak torque. y₁-TVB-N; y₂-pH Upon the F examination to such equation, it turns out that: Equation y₁=41.488324-15.347356X₁-11.78 becomes significant when significant levelα=0.05; Equation y₂=7.045099-0.243584X₁-0.1870 becomes significant when significant levelα=0.05.(3) When chicken is stored at 4℃It is concluded from the relativity analysis of TVB-N, pH, the restoration distance and the peak torque of chicken that:a. TVB-N has a positive relationship with pH; TVB-N has a negative relationship with the restoration distance; TVB-N has a negative relationship with the peak torque;b. pH has a negative relationship with the restoration distance; TVB-N has a negative relationship with the peak torque;c. The restoration distance has a positive relationship with the peak torque.Then, the restoration distance and the peak torque of the elasticity of chicken are set as independent variables, while the TVB-N and pH are set as dependent variables, and after the regression analysis by way of partial least square, the following unary linear regression equation is come forth: y₁=40.447026-16.501326X₁-6.290599X₂ y₂=7.137034-0.313312X₁-0.119440X₂ Where: X₁- restoration distance; X₂- peak torque. y₁-TVB-N; y₂-pH Upon the F examination to such equation, it turns out that: Equation y₁=40.447026-16.501326X₁-6.290599X₂ becomes significant when significant levelα=0.01; Equation y₂=7.137034-0.313312X₁-0.119440X₂ becomes significant when significant levelα=0.01.This paper does a research about freshness of chicken in the different temperature (0℃, 1℃, 4℃), analyze relationship between the elasticity and the freshness of chicken. TVB-N and PH is the dependent variables, restoration distance and peak torque is the independent variables, though an equation with partial least square analyses it, have a clear result F-test examination equation will prove. This paper provide the data foundation for the development of detection method of chicken freshness, summaries the method and the unary linear regression equation for detection of chicken freshness, provides foundation for establishing the database of detection of chicken freshness.