scholarly journals Optimization of vanilla ice cream formulation by replacing white sesame flour with powder milk by response surface methodology

2021 ◽  
Vol 17 (108) ◽  
pp. 85-96
Author(s):  
Kimia Kargar ◽  
Mohammad Goli ◽  
◽  
LWT ◽  
2011 ◽  
Vol 44 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Priscilla Nuernberg Rossa ◽  
Estela Mary F. de Sá ◽  
Vívian Maria Burin ◽  
Marilde T. Bordignon-Luiz

2009 ◽  
Vol 92 (12) ◽  
pp. 5834-5842 ◽  
Author(s):  
K. Inoue ◽  
H. Ochi ◽  
K. Habara ◽  
M. Taketsuka ◽  
H. Saito ◽  
...  

2014 ◽  
Vol 12 (1) ◽  
pp. 563-573 ◽  
Author(s):  
K. Thirugnanasambandham ◽  
V. Sivakumar

Abstract In this study, a comparative approach was developed between response surface methodology (RSM) and artificial neural network (ANN) in the predictive capabilities for the removal of chemical oxygen demand (COD) from ice cream industry wastewater using fluidized bed bioreactor. The effects of process variables such as pH, temperature, flow rate and agitation speed investigated using a four-factor three-level Box–Behnken experimental design (BBD). Same design was utilized to train a feed-forward multilayered perceptron (MLP) ANN with back-propagation algorithm. The predictive capabilities of the two methodologies were compared in terms of statistical parameters including coefficient of determination (R2). The results showed that properly trained ANN model is more accurate in prediction as compared to RSM model. Under the optimum conditions (pH of 7, temperature of 40°C, flow rate of 20 ml/min and agitation speed of 175 rpm), 91% of COD was removed.


2021 ◽  
pp. 106873
Author(s):  
Rajnibhas Sukeaw Samakradhamrongthai ◽  
Taruedee Jannu ◽  
Thanyapohn Supawan ◽  
Amita Khawsud ◽  
Pajaree Aumpa ◽  
...  

2020 ◽  
Vol 9 (11) ◽  
pp. e72191110138
Author(s):  
Celeide Pereira ◽  
Carla Adriana Pizarro Schmidt ◽  
Daneysa Lahis Kalschne ◽  
Solange Teresinha Carpes ◽  
Fabiana Ourique ◽  
...  

This study aimed to evaluate the ice cream crystal content considering the addition of enzymes lactase (0.3% to 0.9%) and transglutaminase (0.6% to 7.4%), employing different incubation temperatures (13 to 47 °C) through a 23 central composite rotatable design (DCCR). The crystals content was estimated by ice cream scattering in blades and the crystals images were obtained with a bright field optical microscope for counting and determining the crystals size using Image J software. All ice cream treatments prepared at 40 oC (T2, T6, and T8) and TA2 treatment (T2 treatment similar formulation) showed small content of crystals if compared with the temperatures of 20 and 30 ºC; it was probably associated with a large presence of air bubbles, fat globules and probably some casein micelles, making them ideal for small crystals agglomeration that form a firmer, smooth and cohesive texture.  Moreover, the combined use of lactase and transglutaminase enzymes in the ice cream is viable, efficient and an easy technology for ice cream production. Furthermore, the use of response surface methodology was effective in selecting the best formulation in relation to desirability features ensuring its use in the ice cream development.


2019 ◽  
Vol 56 (7) ◽  
pp. 3320-3328 ◽  
Author(s):  
M. Davuddin Baig ◽  
A. Malik ◽  
M. Dharani Kumar ◽  
M. Bumbadiya ◽  
S. N. Rajakumar ◽  
...  

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