scholarly journals OPTIMIZATION OF HOT-AIR AND MICROWAVE DRYING PROCESS PARAMETERS FOR EVALUATION OF PHENOLICS AND ANTIOXIDANT ACTIVITY IN SLICED WHITE BUTTON MUSHROOM (Agaricus bisporus) USING RESPONSE SURFACE METHODOLOGY

2021 ◽  
pp. e00964
Author(s):  
Promise Joseph Etim ◽  
Akachukwu Ben Eke ◽  
Kayode Joshua Simonyan ◽  
Kingsley Charles Umani ◽  
Samuel Udo

2015 ◽  
Vol 1095 ◽  
pp. 304-308
Author(s):  
Ling Lin Zhang ◽  
Bo Wang ◽  
Li Hua Zhang ◽  
Min Zeng

Based on the response surface central composite design theory, the passage discusses the effects of microwave power, slice thickness and the pulse ratio on ginger intermittent microwave drying process through response surface methodology. Simultaneously we establish quadratic polynomial regression model and optimize the drying process parameters. Results show that the influence of 3 factors on the comprehensive evaluation: The slice thickness > Microwave power > The pulse ratio. The best process parameters of ginger intermittent microwave drying is: microwave power 515W, the slice thickness 2mm, the pulse ratio 45s and the maximum comprehensive score is 0.96.


2019 ◽  
Vol 25 (3) ◽  
pp. 207-215
Author(s):  
Sharabiani Rasooli ◽  
Ebrahim Taghinezhad

In this research, the effects of intermittent drying variables on some quality properties of parboiled rice were investigated, then a mathematical model was applied to predict the value of quality features non-destructively using response surface methodology (RSM). The intermittent drying variables consisted of hot air temperature (40, 50 and 60?C), radiation intensity (0.21, 0.31 and 0.41 W/cm2) and microwave power (100, 200 and 300 W). The intermittent drying was performed at two stages with a tempering time between drying steps using a hybrid drying of hot air?infrared radiation and microwave drying at the first stage and second stage, respectively. According to RSM results, the effect of drying variables on the quality properties of parboiled rice were significant (p < 0.01). Also, the best mathematical model for prediction of quality properties of samples was the quadratic equation (R2 = 0.96-0.98). The HRY (61.8-73.2%), hardness (118.63-215.27 N) and color value (17.28-19.22) increased, while the lightness (64.17-59.51) decreased during drying. RSM can be able to predict the optimization parameters for the best quality properties (i.e., HRY = 72.42%, lightness = 59.47, color value = 19.25 and hardness = 213.91 N) based on temperature of 60?C, radiation of 0.41 W/cm2 and power of 300 W.


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