Dehydration modeling of Cordyceps militaris in mid-infrared-assisted convection drying system: Using low-field nuclear magnetic resonance with the aid of ELM and PLSR |
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| Authors: | Xiao-Fei Wu Zhongqin Li |
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| Affiliation: | 1. State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China;2. International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China;3. Yandi Biological Engineering Co., Ltd, Changde, China |
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| Abstract: | AbstractThe changes in moisture content and shrinkage ratio of Cordyceps militaris during mid-infrared-assisted convection drying (MIRCD) with different drying temperatures (40, 50, and 60?°C) and velocities of airflow (1 and 2?ms?1) were studied. The relationship between low-field nuclear magnetic resonance (LF-NMR) information and moisture content/shrinkage ratio was modeled using partial least-squares regression (PLSR) and extreme learning machine (ELM). Results indicated that the influence of drying temperature was more pronounced than that of air flow velocity. Both types of models showed good predictive ability with R2>0.90. The ELM models exhibited superior predictive performance than that of the PLSR models. |
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| Keywords: | Cordyceps militaris dehydration modeling NMR extreme learning machine partial least-squares regression |
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