4.5 Article

Mathematical modeling and influence of ultrasonic pretreatment on microwave vacuum drying kinetics of lotus (Nelumbo nucifera Gaertn.) seeds

期刊

DRYING TECHNOLOGY
卷 35, 期 5, 页码 553-563

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/07373937.2016.1193512

关键词

Drying kinetics; lotus seeds; mathematical modeling; microwave vacuum drying; ultrasonic pretreatment; water state

资金

  1. projects of the National Natural Science Foundation of China [31401616]
  2. Specialized Research Fund for the Doctoral Program of Higher Education [20133515120016]
  3. Science and Technology Major Project of Fujian Province [2015N5001]
  4. Scientific and Technological Innovation Team Support Plan of FAFU [cxtd12009]
  5. High Level University Construction Project of FAFU [612014042]

向作者/读者索取更多资源

The people of Southeast Asia often use lotus as a highly sought-after food source. Here, the effects of ultrasonic pretreatment on the drying kinetics of lotus (Nelumbo nucifera Gaertn.) seeds under microwave vacuum drying were investigated. The best fit model to predict the drying kinetics was also proposed. Lotus seeds were subjected to ultrasonic pretreatment at frequencies of 20, 35, and 80kHz and power intensity of 0.75 and 1.50W/g for 10min using an ultrasonic bath and then to microwave vacuum drying. Five different mathematical models were fitted to the experimental data and a newly proposed model was selected based on model with highest regression coefficient (R-2), lowest root mean square error (RMSE), sum square error (SSE), and chi-square ((2)), respectively. Time-domain nuclear magnetic resonance and field scanning electron microscope were used to describe the water state of ultrasonic samples and examine microstructure, respectively. The results showed that ultrasonic pretreatment performed at a relatively low frequency and relatively high power intensity had a positive effect on reducing the drying time (6.25-31.25%) during microwave vacuum drying because of the redistribution of water and the formation of microchannels. In parallel studies, the new model showed the best fit to the drying curve.

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