Application of statistical design for the production of inulinase by streptomyces sp. using pressmud

Dilipkumar, M.; Rajamohan, N.

doi:10.1007/s11705-011-1112-1

Cited by 21 publications

(4 citation statements)

References 31 publications

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“…It reduces the number of experiments without neglecting the interactions among the parameters. This multivariate approach also improves statistical interpretation possibilities and evaluates the relative significance of several contributing factors even in the presence of complex interactions (Dilipkumar et al 2011 ). RSM is widely used for multivariable optimization studies in several biotechnological processes such as the optimization of media, process conditions, hydrogen production, fermentation, sorption of dyes, etc.…”

Section: Introductionmentioning

confidence: 99%

Statistical optimization of process parameters for the production of tannase by Aspergillus flavus under submerged fermentation

2013

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Production of tannase by Aspergillus flavus (MTCC 3783) using tamarind seed powder as substrate was studied in submerged fermentation. Plackett–Burman design was applied for the screening of 12 medium nutrients. From the results, the significant nutrients were identified as tannic acid, magnesium sulfate, ferrous sulfate and ammonium sulfate. Further the optimization of process parameters was carried out using response surface methodology (RSM). RSM has been applied for designing of experiments to evaluate the interactive effects through a full 31 factorial design. The optimum conditions were tannic acid concentration, 3.22 %; fermentation period, 96 h; temperature, 35.1 °C; and pH 5.4. Higher value of the regression coefficient (R2 = 0.9638) indicates excellent evaluation of experimental data by second-order polynomial regression model. The RSM revealed that a maximum tannase production of 139.3 U/ml was obtained at the optimum conditions.

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Section: Introductionmentioning

confidence: 99%

Statistical optimization of process parameters for the production of tannase by Aspergillus flavus under submerged fermentation

2013

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“… 107.64 Selvakumar and Pandey 1999 Kluyveromyces marxianus 122.88 Dry sugarcane bagasse Kluyveromyces marxianus 391.9 Mazutti et al 2006 Sugarcane bagasse Kluyveromyces marxianus 250 Mazutti et al 2007 Wheat bran and rice husk Cryptococcus aureus 436.2 Sheng et al 2009 Sugar cane bagasse Kluyveromyces marxianus 396.6 Bender et al 2008 Wheat bran and rise bran Pichia guilliermondii, 291.0 Guo et al 2009 Pressmud Streptomyces sp. 89 Dilipkumar et al 2011 Copra waste Streptomyces sp. 131 This work …”

Section: Resultsmentioning

confidence: 99%

Enhanced inulinase production by Streptomyces sp. in solid state fermentation through statistical designs

Dilipkumar

Rajamohan

2013

3 Biotech

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In this work, inulinase was produced by solid state fermentation by Streptomyces sp. using copra waste as carbon source. The nutrients were screened by Plackett–Burman design. From the pareto chart it was found that the nutrients, namely, soya bean cake, MgSO4·7H2O and (NH4)2SO4 were found to be most significant nutrient components. Hence, these three components were selected for further optimization using central composite design (CCD) in response surface methodology (RSM). The optimum conditions were soya bean cake: 0.05711 g/gds, MgSO4·7H2O: 0.00063 g/gds and (NH4)2SO4: 0.00772 g/gds. Under these optimized conditions, the production of inulinase was found to be 131 U/gds. The constants in the Michaelis–Menten equation were evaluated and high R2 value implies the fitness of the model.

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“…Three signi cant nutrients viz. FeSO 4 .7H 2 O, yeast extract, and NH 4 NO 3 were screened by Dilipkumar et al, (2011) for inulinase optimization in SSF by Streptomyces sp [36]. Five signi cant factors namely, inoculum size, moisture, the ratio of the quantity of wheat bran to rice husk, pH and temperature were screened by Sheng et al, (2009) for the optimization of inulinase enzyme using Cryptococcus aureus G7a in SSF [37].…”

Section: Fermentation and Optimization Of The Signi Cant Nutrientsmentioning

confidence: 99%

Response surface methodology to optimize inulinase production by a newly isolated Penicillium amphipolaria strain by solid-state fermentation of Saccharum arundinaceum

Das¹,

Bhat²,

Selvaraj³

2020

Preprint

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In the present investigation, a new fungal inulinase producer Penicillium amphipolaria KAS 2555 has been isolated from the soil of dead mangroves litter area, followed by the inulinase production and optimization by solid-state fermentation using a low-cost substrate – hardy sugarcane (Saccharum arundinaceum). While screening, only Penicillium amphipolaria KAS 2555 showed the hydrolysis zone on the plate containing inulin media. The exoinulolytic nature of inulinase and its form of action was confirmed by thin-layer chromatography (TLC). After 96 h of the fermentation period, an activity of 2.45 U/gds was obtained. The I/S ratio of 0.59 proved that the enzyme is inulolytic in nature. Media optimization was performed to obtain a regression model using Central Composite Design (CCD). For optimization, five significant media components viz., inulin, (NH4)2SO4, K2HPO4, KH2PO4 and, NaCl were used. A 3.10-fold increase in activity of inulinase (7.59 U/gds) was obtained under the optimal settings of (g/gds) inulin- 0.1, (NH4)2SO4- 0.002, K2HPO4- 0.1, KH2PO4- 0.02 and NaCl- 0.02.

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Application of statistical design for the production of inulinase by streptomyces sp. using pressmud

Cited by 21 publications

References 31 publications

Statistical optimization of process parameters for the production of tannase by Aspergillus flavus under submerged fermentation

Statistical optimization of process parameters for the production of tannase by Aspergillus flavus under submerged fermentation

Enhanced inulinase production by Streptomyces sp. in solid state fermentation through statistical designs

Response surface methodology to optimize inulinase production by a newly isolated Penicillium amphipolaria strain by solid-state fermentation of Saccharum arundinaceum

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