Abstract
In current work, air impingement drying (AID), infrared-assisted hot air-drying (IR-HAD), and hot air drying based on temperature and humidity control (TH-HAD) drying technologies were employed to drying potato cubes and their effects on drying kinetics, color, ascorbic acid content, rehydration ratio, microstructure, and specific energy consumption (SEC) were explored. Besides, artificial neural network (ANN) was used to predict changes in moisture ratio during the drying process. Results indicated that TH-HAD had the shortest drying time, followed by IR-HAD and AID. The effective moisture diffusivity (Deff) of potato under TH-HAD, IR-HAD and AID were 1.35 × 10−9, 1.18 × 10−9, and 0.90 × 10−9 m2/s, respectively. TH-HAD contributed to excellent physicochemical properties of dried potato when compared to samples dried by IR-HAD and AID. Overall, TH-HAD provided higher ascorbic acid content, better rehydration ability, brighter color, and had lower specific energy consumption (SEC). The microstructure well explained the difference of rehydration ratio and drying kinetics under different drying methods. The ANN models with the optimal topology could predict the moisture ratio under different drying methods with satisfactory accuracy. The current findings indicate that TH-HAD is a promising drying technology for potato cubes and has the potential to be applied in commercial scale.
Disclosure statement
Authors declare that this manuscript is original and authors have no known conflict of interest associated with this manuscript. The results reported in this manuscript have not been influenced by any financial support. We have not excluded any individual who satisfied the authorship criteria. We confirm that all the listed authors have read and approved the content of the manuscript. The corresponding author would be the sole contact for the editorial process.