Statistical analysis on some critical parameters affecting the formation of protoplasts from the mycelium of Penicillium griseofulvum

Muralidhar, R. V.; Gummadi, Sathyanarayana N.; Dasu, Veeranki Venkata; Panda, T.

doi:10.1016/s1369-703x(03)00024-x

Cited by 19 publications

(12 citation statements)

References 14 publications

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“…Hence, an enhancement of 33.33 and 35.41% was achieved on the production of alkaline protease and cell growth, respectively. The main difficulty observed in multiresponse analysis is optimization of variables simultaneously to obtain maximum output for multiple responses (Muralidhar et al, 2003). Similarly, we observed that the final response value obtained in single response optimization is always higher than the value obtained in multiple response optimization (Table 5).…”

Section: Multiple Response Optimizationsupporting

confidence: 62%

Effect of physical parameters, carbon and nitrogen sources on the production of alkaline protease from a newly isolatedBacillus pseudofirmus SVB1

2009

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-The effect of process physical parameters (initial pH of the medium, temperature and rpm of the shaking incubator) on the production of alkaline protease from a newly isolated Bacillus pseudofirmus SVB1 was studied using central composite design technique. The individual optimum levels of initial pH of the medium, temperature and rpm of the shaking incubator were found to be 9.2, 27.3 °C and 195, respectively for the production of alkaline protease (specific activity, U/mg of protein) and 11, 28.9 °C and 210, respectively for cell growth. By applying multiresponse analysis method of generalized distance approach for production and growth, the optimal levels were found to be 9.9, 28.1 °C and 202, for initial pH of the medium, temperature and rpm of the shaking incubator, respectively. After optimization, the production of alkaline protease and cell growth were enhanced by 36.23 and 44.29%, respectively. Also, the various nutritional parameters, which have significant effect on the production of alkaline protease, are delineated in the present study. Alkaline protease production was found to be influenced by media components, viz., types of C/N source and presence of metal ions. Finally an overall 6.2 fold increase in the production was achieved using casein as both carbon and nitrogen source.

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Section: Multiple Response Optimizationsupporting

confidence: 62%

Effect of physical parameters, carbon and nitrogen sources on the production of alkaline protease from a newly isolatedBacillus pseudofirmus SVB1

2009

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“…Generally, circular contour plots indicate that the interactions between parameters are negligible. On the contrary, elliptical ones indicate the evidence of the interactions (Muralidhar et al, 2003). Fig.…”

Section: Response Surface Plots and Optimization Conditionsmentioning

confidence: 92%

Optimization of operational parameters for ethanol production from Korean food waste leachate

Man

Behera

Park

2009

Int. J. Environ. Sci. Technol.

152

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ABSTRACT:Recently, research on the production of ethanol from waste has been accelerating for both ecological and economical reasons, primarily for its use as an alternative to petroleum based fuels. In this study, response surface methodology based 2 3 -full factorial central composite design was employed to optimize the parameters of ethanol production from Korean food waste leachate. The reducing sugar concentration of the food waste leachate determined by the dinitrosalicylic acid method was 75 g/L. A second order polynomial model was developed to evaluate the quantitative effects of temperature, pH and reducing sugar concentration in order to find an optimum condition for the ethanol production from food waste leachate. From the experimental result, maximum ethanol concentration of 24.17 g/L was obtained at the optimum condition of temperature (38 ºC), pH (5.45) and reducing sugar concentration (75 g/L). The experimental value (24.17 g/L) agreed very well with the predicted one (23.66 g/L), indicating the suitability of the model employed and the success of response surface methodology in optimizing the conditions of ethanol production from food waste leachate. Canonical analysis indicated that the stationary point was a saddle point for the ethanol yield. Despite being a waste, an ethanol yield of 0.32 g ethanol/g reducing sugar demonstrated the potential of food waste leachate as a promising biomass resource for the production of ethanol.

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“…The models of CH 4 conversion, C 2 hydrocarbons selectivity and yield were described in Eqs. (16)(17)(18), respectively [26].…”

Section: Single-response Optimization Of Co 2 Ocm Processmentioning

confidence: 99%

“…In another study, a generalized distance approach technique was developed to optimize process variables in the production of protoplast from mycelium [18]. The optimization procedure was carried out by searching independent variables that minimize the distance function over the experimental region in the simultaneous optimal critical parameters.…”

Section: Introductionmentioning

confidence: 99%

A hybrid numerical approach for multi-responses optimization of process parameters and catalyst compositions in CO2 OCM process over CaO-MnO/CeO2 catalyst

Istadi

Amin

2005

Chemical Engineering Journal

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Statistical analysis on some critical parameters affecting the formation of protoplasts from the mycelium of Penicillium griseofulvum

Cited by 19 publications

References 14 publications

Effect of physical parameters, carbon and nitrogen sources on the production of alkaline protease from a newly isolatedBacillus pseudofirmus SVB1

Effect of physical parameters, carbon and nitrogen sources on the production of alkaline protease from a newly isolatedBacillus pseudofirmus SVB1

Optimization of operational parameters for ethanol production from Korean food waste leachate

A hybrid numerical approach for multi-responses optimization of process parameters and catalyst compositions in CO2 OCM process over CaO-MnO/CeO2 catalyst

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