Optimisation of growth medium for the production of cyclodextrin glucanotransferase from Bacillus stearothermophilus HR1 using response surface methodology

Rahman, Roshanida A.; Illias, Rosli Md.; Nawawi, Mohd Ghazali Mohd; Ismail, Ahmad Fauzi; Hassan, Osman; Kamaruddin, Kamarulzaman

doi:10.1016/j.procbio.2003.10.014

Cited by 35 publications

(22 citation statements)

References 20 publications

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“…There have been a number of studies conducted on optimization of different physicochemical parameters of different organisms using response surface methodology [18][19][20][21]. In general there is no defined medium designed for the production of alkaline protease from different microbial sources [18,22,23].…”

Section: Optimization By Response Surface Methodologymentioning

confidence: 99%

Optimization of a growth medium using a statistical approach for the production of an alkaline protease from a newly isolated Bacillus sp. L21

Tarı

Gençkal

Tokatlı

2006

Process Biochemistry

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Bacillus sp. L21 was isolated from the by-products of a leather factory (located in Izmir, Turkey) working under extreme alkaline conditions. Its phenotypic and genotypic identifications were completed, and determined as a potential alkaline protease producer. After screening various elements, carbon and nitrogen sources, soybean meal, maltose50, tween80 and the initial pH conditions were chosen as main factors to be used in the experimental design and response surface methodology (RSM) for the optimization of a low cost enzyme producing media for potential use on an industrial scale. The optimized values obtained by the statistical analysis showed that soybean meal at 3.0 g/l, maltose50 between the ranges of 30 and 40 g/l, tween80 at 0.35 g/l and an initial pH of 8.0 gives maximum protease activity. #

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Section: Optimization By Response Surface Methodologymentioning

confidence: 99%

Optimization of a growth medium using a statistical approach for the production of an alkaline protease from a newly isolated Bacillus sp. L21

Tarı

Gençkal

Tokatlı

2006

Process Biochemistry

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“…These validation studies indicate that the proposed model was adequate to predict the optimisation of CGTase production from mutated Bacillus sp.TPR71HNA6. Similarly Rahman et al, 2004 andIbrahim et al, 2005 used the statistical optimization techniques for improvement of the CGTase production.…”

Section: Resultsmentioning

confidence: 99%

“…RSM in concise, is explained as a collection of experimental strategies, mathematical methods and statistical inference for constructing and exploring an approximate functional relationship between a response variable and a set of design variables. Very few authors have reported satisfactory optimization of CGTase production from microbial sources using a statistical approach (Gawande and Patkar, 1999;Rahman et al, 2004;Ibrahim et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Variables by Response Surface Methodology

Ravinder

2015

Int J Appl Sci Biotechnol

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In the present study optimisation of the growth medium for the production of Cyclodextrin glucanotransferase (CGTase) was carried out using response surface methodology. Four important parameters namely starch, yeast extract, K2HPO4 and MgSO4 concentrations were selected as the independent variables and the enzyme activity (CGTase activity U/mL) was the dependent response variable. Each of these independent variables was studied at five different levels as per central composite design (CCD) in four variables with a total of 28 experimental runs. The optimal calculated values of tested variables for maximal production of CGTase were found to be comprised of: starch, 2.16 %; yeast extract, 0.6 %; K2HPO4, 0.62 %; MgSO4, 0.04 % with a predicted CGTase activity of 150 U/ml. These predicted optimal parameters were tested in the laboratory and the final CGTase activity obtained was very close to the predicted value at 148.2 U/ml.Int J Appl Sci Biotechnol, Vol 3(4): 592-598

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“…The obtained maximum protease production was estimated to be 2210 U mLG 1 . There have been many studies were conducted on optimization of different physiochemical parameters for the production of proteases using RSM (Beg et al, 2003;Chauhan and Gupta, 2004;Rahman et al, 2004;Liu et al, 2004). Cost effective medium and optimization of process parameters by statistical methods for enzyme production is extremely Fig.…”

Section: Final Equation In Terms Of Coded Factorsmentioning

confidence: 99%

Statistical Approach for the Production and Partial Characterization of Alkaline Stable Protease from a Newly Isolated Bacillus sp. IND6 for Silver Recovery

Vijayaragh¹,

Kalaiyaras²,

Prakash³

2015

Research J. of Microbiology

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A low-cost culture medium for the production of bacterial alkaline protease was developed after response surface methodological approach. Central composite design was applied to optimize the concentration of the three significant factors, namely pH, sucrose and yeast extract. A second-order model equation was obtained and then validated experimentally. The model adequacy was highly satisfactory as the coefficient of determination was 0.98. The maximum enzyme production was 2213 U mLG 1 after 72 h of incubation, which showed about fivefold increase in enzyme production than unoptimized medium. The partially purified enzyme showed optimum activity at 50°C at pH 9.0. Crude enzyme exhibited a significant stability with most of the tested commercial laundry detergents. This enzyme removed the gelatin layer of used X-ray film effectively. Considering its promising properties, Bacillus cereus IND6 enzymatic preparations may be considered a potential candidate for detergent applications and silver recovery.

show abstract

Optimisation of growth medium for the production of cyclodextrin glucanotransferase from Bacillus stearothermophilus HR1 using response surface methodology

Cited by 35 publications

References 20 publications

Optimization of a growth medium using a statistical approach for the production of an alkaline protease from a newly isolated Bacillus sp. L21

Optimization of a growth medium using a statistical approach for the production of an alkaline protease from a newly isolated Bacillus sp. L21

Optimization of Process Variables by Response Surface Methodology

Statistical Approach for the Production and Partial Characterization of Alkaline Stable Protease from a Newly Isolated Bacillus sp. IND6 for Silver Recovery

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