2019
DOI: 10.1111/jfpe.13212
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Drying characteristics and modeling of apple slices during microwave intermittent drying

Abstract: Drying characteristics and quality of apple slices were studied using microwave intermittent drying at different microwave power density (2.2, 3.5, 4.8, and 6.1 W/g), sample thickness (3, 5, 7, and 9 mm) and heating time in each cycle (4, 5, 6, and 7 s). Results showed that the approximate constant rate drying periods and falling rate drying periods were found in all the curves. The drying time decreased with increasing microwave power density and heating time in each cycle, while increased significantly with … Show more

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Cited by 29 publications
(20 citation statements)
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“…During the drying process, the increase in sample temperature provides more energy for the water molecules, starting with the surface layer, which evaporates rapidly. This can lead to a substantial increase in structural stress of the material's surface and rapid shrinkage of papaya slices (Dai et al., 2019).…”
Section: Resultsmentioning
confidence: 99%
“…During the drying process, the increase in sample temperature provides more energy for the water molecules, starting with the surface layer, which evaporates rapidly. This can lead to a substantial increase in structural stress of the material's surface and rapid shrinkage of papaya slices (Dai et al., 2019).…”
Section: Resultsmentioning
confidence: 99%
“…In another study, it was found that moisture was lost more rapidly from the inside of the food to the surface at high microwave power as a result of the generation of more heat (Wang and Xi (2005)). The drying time was reduced with an increase in microwave power level (Hu, Zhang, Mujumdar, Xiao, and Sun (2006, 2007), Dai et al (2019)). Askari, Emam‐Djomeh, & Mousavi, 2013 found that drying times for samples dried by the application of microwave energy were decreased about 66 and 73% at 150 and 300 W (0.113 and 0.263 W/g), respectively, since microwave energy enhanced drying rate and reduced drying time.…”
Section: Resultsmentioning
confidence: 99%
“…The determination coefficient ( R 2 ; Equation [4]), root mean square error (RMSE) (Equation [5]), and the Chi‐square parameter ( χ 2 ) (Equation [6]) are selected to evaluate the accuracy of Weibull model (Mishra & Puri, 2013; Dai et al, 2019). It is worth noting that the lower the values of RMSE and χ 2 , the better goodness of fit, while the value of R 2 is completely opposite (Ling, Teng, & Lin, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…respectively. (Mishra & Puri, 2013;Dai et al, 2019). It is worth noting that the lower the values of RMSE and χ 2 , the better goodness of fit, while the value of R 2 is completely opposite (Ling, Teng, & Lin, 2018).…”
Section: Mathematical Modeling Of Drying Kineticsmentioning
confidence: 96%