Optimization of Growth of Lactobacillus acidophilus FTCC 0291 and Evaluation of Growth Characteristics in Soy Whey Medium: A Response Surface Methodology Approach

2008 ◽  
Vol 56 (17) ◽  
pp. 7910-7918 ◽  
Author(s):  
Wai-Yee Fung ◽  
Yuh-Ping Woo ◽  
Min-Tze Liong
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Lactobacillus Acidophilus ◽  
Growth Characteristics

Growth Characteristics and Development of a Predictive Model for Bacillus cereus in Fresh Wet Noodles with Added Ethanol and Thiamine

2011 ◽  
Vol 74 (4) ◽  
pp. 658-664 ◽  
Author(s):  
BO-YEON KIM ◽  
JI-YOUNG LEE ◽  
SANG-DO HA
Keyword(s):  
Growth Rate ◽  
Response Surface Methodology ◽  
Bacillus Cereus ◽  
Predictive Model ◽  
Response Surface ◽  
Growth Rates ◽  
Vitamin B1 ◽  
Growth Characteristics ◽  
Quadratic Polynomial ◽  
Polynomial Model

Response surface methodology was used to determine growth characteristics and to develop a predictive model to describe specific growth rates of Bacillus cereus in wet noodles containing a combination of ethanol (0 to 2% [vol/wt]) and vitamin B1 (0 to 2 g/liter). B. cereus F4810/72, which produces an emetic toxin, was used in this study. The noodles containing B. cereus were incubated at 10°C. The growth curves were fitted to the modified Gompertz equation using nonlinear regression, and the growth rate values from the curves were used to establish the predictive model using a response surface methodology quadratic polynomial equation as a function of concentrations of ethanol and vitamin B1. The model was shown to fit the data very well (r2 = 0.9505 to 0.9991) and could be used to accurately predict growth rates. The quadratic polynomial model was validated, and the predicted growth rate values were in good agreement with the experimental values. The polynomial model was found to be an appropriate secondary model for growth rate (GR) and lag time (LT) based on the correlation of determination (r2 = 0.9899 for GR, 0.9782 for LT), bias factor (Bf = 1.006 for GR, 0.992 for LT), and accuracy factor (Af = 1.024 for GR, 1.011 for LT). Thus, this model holds great promise for use in predicting the growth of B. cereus in fresh wet noodles using only the bacterial concentration, an important contribution to the manufacturing of safe products.

scholarly journals Plackett-Burman matrix and response surface methodology-central composite design for optimization of Lactobacillus Acidophilus biomass production

2014 ◽  
Vol 17 (2) ◽  
pp. 60-72
Author(s):  
Huong Huynh Lien Ly ◽  
Huong Thuy Nguyen
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Biomass Production ◽  
Lactobacillus Acidophilus ◽  
Initial Density ◽  
Optimization Theory ◽  
Similar Proportion ◽  
Maximum Value ◽  
Central Composite

Biomass of Lactobacillus acidophilus was optimized in the tofu wastewater medium by Plackett-Burman matrix and Response surface methodology – Central composite design (RSM-CCD). The highest biomass was 0.73 g/100mL at 106 CFU/mL of initial density of L. acidophilus in tofu wastewater medium, with 0.37% (NH4)2SO4 and 17.59% sucrose. L. acidophilus produced maximum value of biomass after 20 hours of incubation at 37°C. There was a similar proportion at 96.05% in comparison to experimental value and optimization theory, approximatly 93.58% L. acidophilus biomass in MRS medium. As a result, optimization model could be applied in biomass production of L. acidophilus to enhance comercial value and contribute to environmental protection.

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