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Abstract This study introduces a novel single-parameter model for the far-infrared (FIR) drying process of rough rice in a combined FIR dryer, aiming to streamline the prediction process and enhance its efficiency. The experiments involved three levels of FIR intensity (0, 500, and 1000 W m−2) and three levels of inlet air temperature (30, 40, and 50 °C), with a comprehensive examination of various mathematical thin-layer models to predict the drying process. The study developed a comprehensive single-parameter model by investigating the interrelationship of the models’ coefficients under distinct drying conditions, demonstrating its capability to faithfully depict the drying characteristics of rough rice within the combined FIR dryer with an R 2 exceeding 0.99. The findings also provide valuable insights into the impact of drying conditions on the drying time, percentage of cracked kernels (PCK), and amylose content of rough rice, revealing increasing trends in PCK and amylose content with higher drying temperature and FIR intensity, offering practical and efficient tools for optimizing the drying process and enhancing the quality of dried rice products. Overall, this research significantly advances rice drying technology and offers practical solutions for improving the efficiency and quality of rice drying processes. |
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