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Modeling the effect of vibration on the quality of stirred yogurt during transportation.

Anna LuXinxin WeiRuikang CaiShujun XiaoHaina YuanJinyan GongBingquan ChuGongnian Xiao
Published in: Food science and biotechnology (2020)
When transporting yogurt, vibrations and sharp movements can damage its quality. This study developed a model to connect the changes in yogurt quality with the transportation distance as simulated by the total number of vibrations. Linear regression analysis showed that there was a significant negative correlation between the water holding capacity and hardness of the yogurt over the same transport distance (p < 0.05). The yogurt vibration model was established by combining principal component analysis with a Back-Propagation Artificial Neural Network model. The number of training iterations was 2669, with a correlation coefficient of 0.96611, indicating that the model was reliable. The optimal transportation distance was determined to be within the range from 20 rpm for 8 h to 100 rpm for 4 h.
Keyphrases
  • neural network
  • high frequency
  • magnetic resonance imaging
  • quality improvement
  • oxidative stress
  • computed tomography
  • magnetic resonance