Optimisation of medium composition for probiotic biomass production using response surface methodology

2013 ◽  
Vol 81 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Masumeh Anvari ◽  
Gholam Khayati ◽  
Shora Rostami
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Polynomial Regression ◽  
Probiotic Bacterium ◽  
Medium Composition ◽  
Bifidobacterium Animalis ◽  
Extract Concentration ◽  
Initial Ph ◽  
Probiotic Biomass

This study was aimed to optimise lactose, inulin and yeast extract concentration and also culture pH for maximising the growth of a probiotic bacterium,Bifidobacterium animalissubsp.lactisin apple juice and to assess the effects of these factors by using response surface methodology. A second-order central composite design was applied to evaluate the effects of these independent variables on growth of the microorganism. A polynomial regression model with cubic and quadratic terms was used for analysis of the experimental data. It was found that the effects involving inulin, yeast extract and pH on growth of the bacterium were significant, and the strongest effect was given by the yeast extract concentration. Estimated optimum conditions of the factors on the bacterial growth are as follows: lactose concentration=9·5 g/l; inulin concentration=38·5 mg/l; yeast extract concentration=9·6 g/l and initial pH=6·2.

Optimization of Medium Components for β-Glucosidase Production from Aspergillus Niger by Response Surface Methodology

2013 ◽  
Vol 419 ◽  
pp. 328-333 ◽  
Author(s):  
Chao Zhang ◽  
Rui Huang ◽  
Hui Tian ◽  
Ru Ming Zhao ◽  
Fa Shun Yu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Influence Factors ◽  
Mutual Effect ◽  
Tween 80 ◽  
Fermentation Medium ◽  
Medium Composition ◽  
Malt Extract ◽  
Medium Components

β-Glucosidase is the key enzyme for the utilization of lignocellulose.But the commercial β-glucosidase can’t be produced. This paper focuses on the study of the β-glucosidase fermentation process.The fermentation medium components for β-glucosidase production from Aspergil lusniger was optimized by response surface methodology (RSM). Firstly, the three of the most important influence factors yeast extract, MnSO4•H2O and MgSO4•7H2O was obtained from Plackett-Burman design screening. Then the path of steepest ascent experiment was adopted to approach the optimal region of the medium composition. Lastly, the optimal concentration and mutual effect of three factors were predicted by RSM. The results showed that the best medium composition was Malt extract 18g/L, Yeast extract 3.22g/L, KH2PO4 3g/L, MnSO4•H2O 0.58mM, Tween-80 0.5mL/L and MgSO4•7H2O 0.23g/L. Under these fermentation conditions, the activity of β-glucosidase was up to 7.33IU/mL with increasing 23.2% than before.

scholarly journals Production of β-Glucosidase from a Newly IsolatedAspergillusSpecies Using Response Surface Methodology

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Pilanee Vaithanomsat ◽  
Molnapat Songpim ◽  
Taweesiri Malapant ◽  
Akihiko Kosugi ◽  
Warunee Thanapase ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ammonium Sulfate ◽  
Yeast Extract ◽  
Culture Medium ◽  
Specific Activity ◽  
Ph Value ◽  
Sulfate Concentration ◽  
Extract Concentration ◽  
Fermentation Parameters

A newly isolated fungusAspergillus nigerSOI017 was shown to be a good producer of β-glucosidase from all isolated fungal strains. Fermentation condition (pH, cellobiose concentration, yeast extract concentration, and ammonium sulfate concentration) was optimized for producing the enzyme in shake flask cultures. Response surface methodology was used to investigate the effects of 4 fermentation parameters (yeast extract concentration, cellobiose concentration, ammonium sulfate concentration, and pH) on β-glucosidase enzyme production. Production of β-glucosidase was most sensitive to the culture medium, especially the nitrogen source yeast extract. The optimized medium for producing maximum β-glucosidase specific activity consisted of 0.275% yeast extract, 1.125% cellobiose, and 2.6% ammonium sulfate at a pH value of 3.

scholarly journals Design and optimization of hydrogen production from hydrothermally pretreated sugarcane bagasse using response surface methodology

2017 ◽  
Vol 76 (1) ◽  
pp. 95-105 ◽  
Author(s):  
Lais Américo Soares ◽  
Juliana Kawanishi Braga ◽  
Fabrício Motteran ◽  
Isabel Kimiko Sakamoto ◽  
Edson Luiz Silva ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Hydrogen Production ◽  
Response Surface ◽  
Sugarcane Bagasse ◽  
Yeast Extract ◽  
Denaturing Gradient Gel Electrophoresis ◽  
Incubation Temperature ◽  
P Value ◽  
Design And Optimization ◽  
Extract Concentration

Hydrogen production from hydrothermally pretreated (200 °C for 10 min at 16 bar) sugarcane bagasse was analyzed using response surface methodology. The yeast extract concentration and the temperature had a significant influence for hydrogen production (p-value 0.027 and 0.009, respectively). Maximum hydrogen production (17.7 mmol/L) was observed with 3 g/L yeast extract at 60 °C (C10). In this conditions were produced acetic acid (50.44 mg/L), butyric acid (209.71 mg/L), ethanol (38.4 mg/L), and methane (6.27 mmol/L). Lower hydrogen productions (3.5 mmol/L and 3.9 mmol/L) were observed under the conditions C7 (2 g/L of yeast extract, 35.8 °C) and C9 (1 g/L of yeast extract, 40 °C), respectively. The low yeast extract concentration and low temperature caused a negative effect on the hydrogen production. By means of denaturing gradient gel electrophoresis 20% of similarity was observed between the archaeal population of mesophilic (35 and 40 °C) and thermophilic (50, 60 and 64 °C) reactors. Likewise, similarity of 22% was noted between the bacterial population for the reactors with the lowest hydrogen production (3.5 mmol/L), at 35.8 °C and with the highest hydrogen production (17.7 mmol/L) at 60 °C demonstrating that microbial population modification was a function of incubation temperature variation.

scholarly journals Modification of Medium Composition for Enhancing the Production of Antifungal Activity fromXenorhabdus stockiaePB09 by Using Response Surface Methodology

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Chirayu Sa-uth ◽  
Paweena Rattanasena ◽  
Angsumarn Chandrapatya ◽  
Prapassorn Bussaman
Keyword(s):  
Response Surface Methodology ◽  
Antifungal Activity ◽  
Response Surface ◽  
Plant Pathogens ◽  
Polynomial Regression ◽  
Culture Media ◽  
Medium Composition ◽  
Fractional Factorial ◽  
Medium Components ◽  
Mineral Sources

Xenorhabdus stockiaePB09 bacterium has been shown to exhibit antifungal activity against several plant pathogens. To improve its efficacy, the optimization of the nutritional components in culture media was performed. The medium components that have significant effects on antifungal activity ofX. stockiaePB09 were initially identified using a fractional factorial design. Response surface methodology and central composite design were then used to create a model for optimizing the levels of carbon, nitrogen, and mineral sources that maximize antifungal activity ofX. stockiaePB09. After that, the suitable carbon, nitrogen, and mineral sources were selected and adjusted by the second-order polynomial regression model, which predicted that 98.62% of antifungal activity could be obtained when the medium contained sucrose, yeast extract, NaCl, and K2HPO4at 3.24, 23.71, 5.46, and 2.73 g/L, respectively. Laboratory verification of this recipe resulted in the antifungal activity at 97.95% in the shake flask experiment after 48-hour cultivation, which was significantly 27.22% higher than that obtained by using the TSB medium. In addition,X. stockiaePB09 cultured in the verified recipe by using 5 L fermenter could effectively inhibit the mycelial growth ofPhytophthorasp.,Rhizoctonia solani,Pythiumsp., andFusarium oxysporum. This study demonstrated that the RSM and CCD were shown to be valuable tools for optimizing the culture medium that maximize the antifungal activity ofX. stockiaePB09.

A study by response surface methodology (RSM) on optimization of phosphorus adsorption with nano spherical calcium carbonate derived from waste

2019 ◽  
Vol 79 (1) ◽  
pp. 188-197 ◽  
Author(s):  
Shuo Deng ◽  
Yinguang Chen
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Phosphorus Removal ◽  
Contact Time ◽  
Adsorption Process ◽  
Polynomial Regression ◽  
Logistic Growth ◽  
Optimum Level ◽  
Phosphorus Adsorption ◽  
Initial Ph

Abstract A nano spherical CaCO3 (NSC) derived from solid waste (precipitated from tris(α-chloropropyl) phosphate and triethyl phosphate mixed wastewater) was prepared as adsorbent for phosphorus removal from aqueous solution. Response surface methodology (RSM) was used to develop an approach for the evaluation of phosphorus adsorption process, and Box-Behnken design was performed to investigate the effects of various experimental parameters (temperature, contact time, initial pH and dosage of absorbent) on phosphorus adsorption. The model results of experimental data gave a high correlation coefficient (R2 = 0.9658), and a predictive model of quadratic polynomial regression equation and optimum level values were established successfully. It was found that the adsorption efficiency and adsorption capacity reached 97.05% and 123.79 mg/g, respectively, under conditions of temperature of 45 °C, initial pH 5.3, contact time of 11 h, and absorbent amount of 392 mg/L. X-ray diffraction (XRD) analysis testified new phase, Ca10(PO4)6CO3, was produced in the adsorption process. Apart from that, adsorption behavior fitted well with the Langmuir isotherm model and logistic growth model. The thermodynamic study indicated that phosphorus removal by NSC as adsorbent was a spontaneous, endothermic, and mainly chemical adsorption process.

scholarly journals Optimization of medium composition to induce cellulase production of Bacillus sp. by Response Surface Methodology

2014 ◽  
Vol 17 (2) ◽  
pp. 47-55
Author(s):  
Loan Thi Bich Nguyen ◽  
Huong Thuy Nguyen
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Cellulase Activity ◽  
Cellulase Production ◽  
Culture Collection ◽  
Medium Composition ◽  
Interactive Effects ◽  
Design Matrix ◽  
Meat Extract

In the past, optimization in biological analyses has been performed by measuring influence of one factor at a time. The disadvantage of this technique is not presence any interactive effects of factors studies and it needs a large number of experiments. Consequently, the Response Surface Methodology (RSM) is the most popular choice for optimization. It used the effects of mathematics and statistics to study optimization with minimum experimental trials and therefore interactive variables may be involved. This study has selected and screened seven Bacillus strain in Vietnam Type Culture Collection which can product cellulase in the medium with CMC as an inducer. VTCC-B-0497 presented the best result. Then, only 15 experiments of design matrix by Box-Behnken were necessary to determine optimal concentrations of three variables including the concentration of Carboxymethylcellulose, Yeast extract and Meat extract to product cellulase. The model could be employed to predict the response. The maximum of cellulase activity was 2.48 U at the concentration of Carboxymethylcellulose 0.25% w/v, yeast extract 0.7% w/v and meat extract 0.2% w/v.

scholarly journals Statistical Optimization of the Medium Composition by Response Surface Methodology to Enhance Schizophyllan Production by Schizophyllum commune

2011 ◽  
Vol 66 (3-4) ◽  
pp. 173-181 ◽  
Author(s):  
Wenbing Li ◽  
Pengpeng Zhou ◽  
Longjiang Yu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Schizophyllum Commune ◽  
Fermentation Medium ◽  
Medium Composition ◽  
Excellent Correlation ◽  
Predicted Values ◽  
Optimal Medium ◽  
Central Composite

The response surface methodology (RSM) involving central composite design (CCD) was employed to optimize the fermentation medium for the cell growth and schizophllan production by Schizophyllum commune CGMCC 5.113 in submerged culture at pH 6.5 and 26°C. The four variables involved in this study were glucose, yeast extract, ammonium nitrate, and magnesium sulfate. The statistical analysis of the results showed that, in the range studied, glucose and yeast extract had a highly significant effect on schizophyllan production. The optimal medium for schizophyllan production calculated from the regression model of RSM was as follows: glucose, 18 g/l; yeast extract, 0.5 g/l; NH4NO3, 0.48 g/l; and MgSO4, 0.05 g/l, with a predicted maximum schizophyllan production of 11.74 g/l. These predicted values were experimentally validated. The excellent correlation between predicted and measured values justifies the validity of the response model. The results of bioreactor fermentation also show that the optimized medium enhanced schizophyllan production (12.80 g/l) by S. commune in a 5-l fermenter

scholarly journals Effect of C/N Ratio and Media Optimization through Response Surface Methodology on Simultaneous Productions of Intra- and Extracellular Inulinase and Invertase fromAspergillus nigerATCC 20611

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Mojdeh Dinarvand ◽  
Malahat Rezaee ◽  
Malihe Masomian ◽  
Seyed Davoud Jazayeri ◽  
Mohsen Zareian ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Scale Up ◽  
Medium Composition ◽  
Quadratic Model ◽  
Coefficient Of Determination ◽  
Main Reaction ◽  
Effective Response ◽  
Triton X

The study is to identify the extraction of intracellular inulinase (exo- and endoinulinase) and invertase as well as optimization medium composition for maximum productions of intra- and extracellular enzymes fromAspergillus nigerATCC 20611. From two different methods for extraction of intracellular enzymes, ultrasonic method was found more effective. Response surface methodology (RSM) with a five-variable and three-level central composite design (CCD) was employed to optimize the medium composition. The effect of five main reaction parameters including sucrose, yeast extract, NaNO3, Zn+2, and Triton X-100 on the production of enzymes was analyzed. A modified quadratic model was fitted to the data with a coefficient of determination (R2) more than 0.90 for all responses. The intra-extracellular inulinase and invertase productions increased in the range from 16 to 8.4 times in the optimized medium (10% (w/v) sucrose, 2.5% (w/v) yeast extract, 2% (w/v) NaNO3, 1.5 mM (v/v) Zn+2, and 1% (v/v) Triton X-100) by RSM and from around 1.2 to 1.3 times greater than in the medium optimized by one-factor-at-a-time, respectively. The results of bioprocesses optimization can be useful in the scale-up fermentation and food industry.

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