Texture Analysis of Chinese Dried Noodles during Drying Based on Acoustic–Mechanical Detection Methods
Zhendong Cai,
Zhenhua Wang,
Min Zhang,
Aojie Zhang,
Guodong Ye,
Shan Liang,
Xin Ren
Affiliations
Zhendong Cai
Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No.11 Fucheng Road, Haidian District, Beijing 100048, China
Zhenhua Wang
Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No.11 Fucheng Road, Haidian District, Beijing 100048, China
Min Zhang
Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No.11 Fucheng Road, Haidian District, Beijing 100048, China
Aojie Zhang
Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No.11 Fucheng Road, Haidian District, Beijing 100048, China
Guodong Ye
Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No.11 Fucheng Road, Haidian District, Beijing 100048, China
Shan Liang
Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No.11 Fucheng Road, Haidian District, Beijing 100048, China
Xin Ren
Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No.11 Fucheng Road, Haidian District, Beijing 100048, China
To better understand the textural transformation of Chinese dried noodles during the drying process, a convenient acoustic–force detection method was established. By comparing the breaking point, it was possible to determine the time-scale correlation between the force–displacement curves and acoustic spectrograms. The acoustic eigenvalues showed a consistent upward trend with the mechanical parameters during the drying process. With a wave crest reaching 152.8 dB and a signal maximum reaching 0.072, the structural stability of the dried noodles hardly induces a higher acoustic response. This suggests that the mechanical strength and rigidity of the dried noodles undergo minimal changes during this period. In comparison to the mechanical parameters, the acoustic eigenvalues accurately describe the changes in texture of dried noodles under various drying conditions, moreover, the sound threshold also provides a more effective response to the dried noodles’ structural strength threshold. Therefore, the acoustic detection method can be applied to assist the conventional mechanical measurement in the field of the texture evaluation of dried food.