Industrial media and fermentation processes for improved growth and protease production by Tetrahymena thermophila BIII

Coninck, Joëlle De; Bouquelet, Stéphane; Dumortier, V.; Duyme, Florent; Verdier-Denantes, I

doi:10.1038/sj.jim.2900826

Cited by 79 publications

(32 citation statements)

References 11 publications

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“…RSM, which includes factorial design and regression analysis, is used for the evaluation of effective factors and for the construction of models to study interactions, selecting the optimum conditions for a desirable response [19]. RSM-CCD built using Design Expert 7.0 was applied to find out the optimum concentrations of the five selected variables described above and to study their interactions.…”

Section: Experimental Design and Statistical Analysismentioning

confidence: 99%

Optimization of a synthetic medium for ethanol production by xylose-fermenting Zymomonas mobilis using response surface methodology

Dong

Zhao

et al. 2012

Chin. Sci. Bull.

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A synthetic medium for ethanol production by recombinant xylose-fermenting Zymomonas mobilis was optimized using Plackett-Burman (PB) design and response surface methodology (RSM). The effects of 19 medium components were investigated by PB design. Eight of these components were determined to have significant effects on ethanol production. The statistical model was constructed via central composite design (CCD) using five selected variables, including xylose, trisodium citrate, choline chloride, pyridoxine, and thiamine. The validity of the developed model was verified. The ethanol concentration in the optimized medium was 6.7% higher than in the RM medium. The optimized medium was then simplified to give the final synthetic medium (S2), in which the ethanol concentration was 20.7% higher than in the RM medium. Xylose and trisodium citrate were the key medium components influencing ethanol production, while calcium pantothenate was the only growth factor required by recombinant Z. mobilis. Ethanol production and growth response were directly proportional to the logarithm of the concentration of trisodium citrate in the range of 0.1-1.6 g/L.recombinant Zymomonas mobilis, synthetic medium, ethanol production, response surface methodology, trisodium citrate, xylose Citation:Dong H N, Zhao X M, Ma Y Y, et al. Optimization of a synthetic medium for ethanol production by xylose-fermenting Zymomonas mobilis using response surface methodology.

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Section: Experimental Design and Statistical Analysismentioning

confidence: 99%

Optimization of a synthetic medium for ethanol production by xylose-fermenting Zymomonas mobilis using response surface methodology

Dong

Zhao

et al. 2012

Chin. Sci. Bull.

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“…In contrast, RSM includes factorial design and regression analysis which helps in evaluating the effective factors and their interaction and to find out the optimum conditions of variables for a desirable response (Tunga et al, 1999;Coninck et al, 2000;Reddy et al, 2003b;Kunamneni et al, 2005;Gangadharan et al, 2008). Recently, a number of statistical experimental designs with response surface methodology have been employed for optimizing enzyme production from microorganisms (Koteswara et al, 2006;Thys et al, 2006;Zambare, 2010b;Mohandas et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Optimization of amylase production from Bacillus sp. using statistics<br>based experimental design

Zambare¹

2011

Emir. J. Food Agric

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Production of amylase under submerged fermentation Bacillus sp. was investigated using wheat bran, soybean meal and CaCO 3 (WSC) medium. Response surface methodology (RSM) was used to evaluate the effect of the main variables, i.e., pH (11.35), temperature (35.16°C) and inoculum size (2.95%) on amylase production by applying a full factorial central composite design (CCD). The mutual interaction between these variables resulted into 4.64 fold increase in amylase activity as compared to the non-optimized environmental factors in the basal medium.

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“…Optimization through response surface methodology (RSM) is now widely used to evaluate and understand the interactions between different physiological and nutritional parameters [8][9][10][11] . This technique is an empirical modeling technique devoted to the evaluation of relations existing within a group of controlled experimental factors and observed results of one or more selected criteria factors and building blocks to study interactions and select optimum conditions of variables for a desired response 13,14 . In the present investigation, an attempt was made to optimize the culture conditions for maximizing the production of tannase from A. niger using RSM.…”

Section: Introductionmentioning

confidence: 99%

Statistical optimization for tannase production from Aspergillus niger under submerged fermentation

2007

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Statistically based experimental design was employed for the optimization of fermentation conditions for maximum production of enzyme tannase from Aspergillus niger. Central composite rotatable design (CCRD) falling under response surface methodology (RSM) was used. Based on the results of 'one-at-a-time' approach in submerged fermentation, the most infl uencing factors for fl tannase production from A. niger were concentrations of r tannic acid and sodium nitrate, agitation rate and incubation period. Hence, to achieve the maximum yield of tannase, interaction of these factors was studied at optimum production pH of 5.0 by RSM. The optimum values of parameters obtained through RSM were 5% tannic acid, 0.8% sodium nitrate, 5.0 pH, 5 x I0 7 spores/50mL inoculum density, 150 rpm agitation and incubation period of 48 h which resulted in production of 19.7 UmL -1 of the enzyme. This activity was almost double as compared to the amount obtained by 'one-at-a-time' approach (9.8 UmL -1 ).

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Industrial media and fermentation processes for improved growth and protease production by Tetrahymena thermophila BIII

Cited by 79 publications

References 11 publications

Optimization of a synthetic medium for ethanol production by xylose-fermenting Zymomonas mobilis using response surface methodology

Optimization of a synthetic medium for ethanol production by xylose-fermenting Zymomonas mobilis using response surface methodology

Optimization of amylase production from Bacillus sp. using statistics<br>based experimental design

Statistical optimization for tannase production from Aspergillus niger under submerged fermentation

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