Foods (Jan 2024)

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

DOI
https://doi.org/10.3390/foods13020268
Journal volume & issue
Vol. 13, no. 2
p. 268

Abstract

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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.

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