Optimization of spray drying process of Japanese apricot (Prunus mume Sieb. et Zucc.) juice powder using nondigestible maltodextrin by response surface methodology (RSM)

2021 ◽  
Author(s):  
Ju-Hui Kim ◽  
Jang H. Kim ◽  
Jong-Bang Eun
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Spray Drying ◽  
Prunus Mume ◽  
Drying Process ◽  
Japanese Apricot

Optimization of the spray-drying process for developing guava powder using response surface methodology

2014 ◽  
Vol 253 ◽  
pp. 230-236 ◽  
Author(s):  
Vaibhav Patil ◽  
Anil Kumar Chauhan ◽  
Ravi Pratap Singh
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Spray Drying ◽  
Drying Process

scholarly journals The Optimization of Parameters for the Spray Drying Process of Wood Apple Extract using Response Surface Methodology

2019 ◽  
Vol 9 (2) ◽  
pp. 4528-4535
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Spray Drying ◽  
Sensory Quality ◽  
Drying Process ◽  
Nutritional Components ◽  
Predicted Model ◽  
Input Variables ◽  
Predicted Values ◽  
Experimental Values

Wood apple is a fruit, which containing many nutrient values and bioactive compounds. In the present study, The response surface methodology (RSM) was used to optimize the input variables of the spray drying process. Three coded independent variables viz. input dry substance concentration (X1 ), input flow (X2 ), spray drying temperature (X3 ), corresponds to the encoded variables Z1 (from 20 to 24 %), Z2 (from 5.35 to 6.72 mL/min.), Z3 (from 140 to 160oC). The R2 correlation coefficient between the experimental values and the predicted values from the model up to 0.967 indicated the satisfactorily of the predicted model. Three optimal input parameters to get the highest efficiency of dry matter recovery (51.80 %) were derived at Z1 = 24 %, Z2 = 5.35 mL/min., Z3 = 160oC. The powder product obtained has a good sensory quality, high contents of antioxidants and nutritional components.

Optimisation of a pilot-scale spray drying process for probiotic yoghurt, using response surface methodology

2014 ◽  
Vol 67 (2) ◽  
pp. 211-219 ◽  
Author(s):  
Masoumeh Izadi ◽  
Mohammad Hadi Eskandari ◽  
Mehrdad Niakousari ◽  
Shahram Shekarforoush ◽  
Mahammad Amin Hanifpour ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Spray Drying ◽  
Pilot Scale ◽  
Drying Process

Optimization of Anthocyanins Extraction from Blueberry Pomace by Spray-Drying Process by Response Surface Methodology

2014 ◽  
Vol 1033-1034 ◽  
pp. 709-712
Author(s):  
Xian Jun Meng ◽  
Jia Chen Zhang ◽  
Bin Li
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Spray Drying ◽  
Air Temperature ◽  
Loss Rate ◽  
Single Factor ◽  
Drying Process ◽  
Quadratic Regression ◽  
Drying Technology ◽  
Single Factor Experiment

The effects of maltodextrin concentration,inlet air temperature and outlet air temperature on the anthocyanins extraction from blueberry pomace by spray-drying technology were studied by response surface methodology. Based on single factor experiment, the quadratic regression model of the powder yield and loss rate of anthocyanins were deduced, then variables were analyzed with response surface methodology (RSM) by Box - Benhnken experiment. Results showed that the optimal technological conditions for spray drying the anthocyanins extraction from blueberry pomace were obtained as follows: maltodextrin concentration was 25.15% , inlet air temperature was 183.03°Cand outlet air temperature was 60.00°C.

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