Study On Texture Evaluation Of Korla Pear With Acoustic Response Parameters

In this paper,the characteristics of fruit pear in Xinjiang were studied.Based on the present situation of non-destructive testing of texture,the texture evaluation of vibrating and vibrating response of pear was put forward.Firstly,the texture parameters were analyzed by texture analysis method,and the principal component analysis was used to analyze the texture parameters.The main components were extracted and the comprehensive evaluation index of pear texture was obtained by weighted sum of the extracted principal components.Secondly,the sensory evaluation of the pear texture was evaluated by the sensory evaluation of the appraiser,and then the correlation analysis was carried out with the comprehensive evaluation index of texture.Finally,the sound vibration method was used to detect the vibration parameters of pear,and the texture of pear was predicted by multiple linear regression analysis,so as to achieve the non-destructive testing of pear texture.The main conclusions of the study are as follows:(1)Texture analyzer can evaluate consumer sensory of fruits by a single double compression test,and a series of texture parameters are obtained through texture profile analysis(TPA),and the principal component analysis and cluster analysis of the pear texture parameters were analyzed.There had significant correlations(P <0.05)among 7 texture parameters of fracturability,hardness,springiness,cohesiveness,chewiness,resilience and adhesiveness,indicating that 7 parameters express repetitively about pear texture.The texture was reproducible and the three main components were extracted to explain the original texture 84.006% of the information to evaluate the texture of pear.When the TPA parameters were divided into 3 cluster by cluster analysis,the first principal component was related to Cluster 2,representing chewiness.The second principal component was related to Cluster 1,representing fracturability and hardness.The third principal component was related to Cluster 3,representing adhesiveness,springiness,cohesiveness and resilience.So the comprehensive evaluation texture index of Korla pear was calculated with the weighted sum of three principal components.(2)Through the sensory training of the candidate evaluators,six sensory evaluators were selected to evaluate the different layers of pear,and and the principal component analysis of the pear texture parameters were analyzed.There had significant correlations(P <0.05)among 7 texture parameters of fracturability,hardness,springiness,cohesiveness,chewiness,adhesiveness and overall acceptability,indicating that 7 parameters express repetitively about pear texture.The texture was reproducible and the three main components were extracted to explain the original texture 80.193% of the information to evaluate the texture of pear.The correlation coefficient of the comprehensive evaluation texture index and the comprehensive sensory evaluation r was 0.84,RMSE was 0.343.(3)The vibration response of pear was studied by using piezoelectric beam sensor,and the resonant frequency fR and sound velocity v were extracted and analyzed by multiple linear regression analysis.The results show that the stepwise multiple linear regression(SMLR)model for predicting the texture index of pear is constructed by using the sound velocity v and the elastic index fR2m2/3 of the pear sound and vibration response.The correlation coefficient of the model calibration set and the validation set rc and rp were 0.794 and 0.772,RMSEC and RMSEP were 0.917 and 1.201,respectively.The SMLR model has high stability and accuracy for predication of comprehensive texture index of Korla pear.Therefore,it can provide the basis for the non-destructive grading of Korla pear texture.