Optimization of batch fermentation conditions for dextran production

Karthikeyan, R.; Rakshit, Subham; Baradarajan, A.

doi:10.1007/bf02391585

Cited by 69 publications

(26 citation statements)

References 10 publications

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“…The effect of nutrients and culture conditions for dextran production by various Leuconostoc strains under flask cultures and batch fermentation have been studied. The production of dextran from other strains of Leuconostoc mesenteroides using response surface methodology has been reported (Karthikeyan et al, 1996;. The dextran produced by Leuconostoc mesenteroides NRRL B-640 was reported to possess novel food gelling and food thickening properties (Purama et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Enhanced production of a novel dextran fromLeuconostoc mesenteroides NRRL B-640 by Response Surface Methodology

et al. 2009

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-In our earlier study dextran produced by Leuconostoc mesenteroides NRRL B-640 was reported to possess novel food gelling and thickening properties (Purama et al., 2009). In the present study response surface methodology based experimental designs were applied to enhance the production of this novel dextran by Leuconostoc mesenteroides NRRL B-640. Eleven medium components were examined for their significance on dextran production using PlackettBurman factorial design. Sucrose, peptone and beef extract were found to have significant effect on the dextran production. The combined effect of these nutrients on dextran production were studied using a 2 3 full-factorial central composite design, a second-order polynomial was established to identify the relationship between the output i.e. dextran produced and the three medium components. The optimal concentration of variables for maximum dextran production were 5%, w/v sucrose, 2.5%, w/v peptone, and 2.5%, w/v beef extract. The maximum concentration of dextran obtained by predicted model was 12.0 mg/ml that was in perfect agreement with the experimental determined value (12.2 ± 0.2 mg/ml). This value of dextran concentration was over 70 percent higher as compared to un-optimized medium that gave 7.0 ± 0.2 mg/ ml of dextran.

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Section: Introductionmentioning

confidence: 99%

Enhanced production of a novel dextran fromLeuconostoc mesenteroides NRRL B-640 by Response Surface Methodology

et al. 2009

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“…The larger the magnitude of the T value and the smaller the P value indicate the high significance of the corresponding coefficient (Karthikeyan et al, 1996). It can be seen that the variable with the most effect was the linear effect of incubation temperature (X 3 ) followed by the quadratic effect of incubation temperature (X 3 2 ) compared to the quadratic effect of arabinose concentration (X 2 2 ).…”

Section: Resultsmentioning

confidence: 97%

R unning Head: Novel Recombinant Phytate - d egrading Enzyme Production Statistical Optimization of the Induction of Phytase Production by Arabinose in a recombinant E. coli using Response Surface Methodology

Hussin

Greiner

et al. 2017

AJSTD

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The production of phytase in a recombinant E.coli using the pBAD expression system was optimized using response surface methodology with full-factorial faced centered central composite design. The ampicilin and arabinose concentration in the cultivation media and the incubation temperature were optimized in order to maximize phytase production using 2 3 central composite experimental design. With this design the number of actual experiment performed could be reduced while allowing eludidation of possible interactions among these factors. The most significant parameter was shown to be the linear and quadratic effect of the incubation temperature. Optimal conditions for phytase production were determined to be 100 µg/ml ampicilin, 0.2 % arabinose and an incubation temperature of 37ºC. The production of phytase in the recombinant E. coli was scaled up to 100 ml and 1000 ml.

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“…4. The larger T-values and the smaller P-values indicate the considerable significance of the corresponding coefficient [14].…”

Section: Estimated Regression Coefficient For Response and Anovamentioning

confidence: 96%

Application of Central Composite Rotatable Design for Mixing Time Analysis in Mechanically Agitated Vessels

et al. 2012

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Central composite rotatable design (CCRD) was applied for analyzing and optimizing the effects of impeller rotational speed, gas flow rate, probe location, and tracer injection point on the gas-liquid two-phase mixing time in an agitated vessel with a dual six-blade Rushton turbine. Knowledge of the effects of independent factors on the mixing time is necessary in order to optimize the mixing process. The mathematical relationship between mixing time and four significant independent variables can be approximated by a nonlinear polynomial model. The obtained results demonstrate that CCRD could efficiently be applied for modeling mixing time. It requires fewer experimental runs and provides sufficient information as compared to a factorial design.

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Optimization of batch fermentation conditions for dextran production

Abstract: The nutrient medium (containing sucrose, yeast extract and K2HPO4), temperature and initial pH conditions were optimised for batch dextran production in

Cited by 69 publications

References 10 publications

Enhanced production of a novel dextran fromLeuconostoc mesenteroides NRRL B-640 by Response Surface Methodology

Enhanced production of a novel dextran fromLeuconostoc mesenteroides NRRL B-640 by Response Surface Methodology

R unning Head: Novel Recombinant Phytate - d egrading Enzyme Production Statistical Optimization of the Induction of Phytase Production by Arabinose in a recombinant E. coli using Response Surface Methodology

Application of Central Composite Rotatable Design for Mixing Time Analysis in Mechanically Agitated Vessels

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