scholarly journals The Use of Response Surface Methodology as a Statistical Tool for Media Optimization in Lipase Production from the Dairy Effluent Isolate Fusarium solani

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
P. Kanmani ◽  
S. Karthik ◽  
J. Aravind ◽  
K. Kumaresan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Palm Oil ◽  
Inorganic Nitrogen ◽  
Nitrogen Sources ◽  
Fold Increase ◽  
Lipase Production ◽  
Dairy Wastewater ◽  
Statistical Tool ◽  
Medium Components

The optimization of extracellular lipase production by Fusarium isolani strain SKWF7 isolated from dairy wastewater was carried out in this study. Initially, the physicochemical factors significantly influencing enzyme production were studied by varying one-factor-at-a-time (OFAT). A mesophilic temperature of 40°C, alkaline pH of 8, and incubation period of 72 hours were found to be the optimal conditions for lipase production. Among the media components, the disaccharide sucrose acted as the best carbon source; palm oil as the best inducing lipid substrate; casein and (NH4)2SO4 as the best organic and inorganic nitrogen sources; Ca2+ ion as the best trace element. In the next phase of work, statistical optimization of medium components was performed by employing the Box-Behnken design of Response Surface Methodology (RSM). The optimum concentrations of three significant factors, namely, palm oil, (NH4)2SO4, and CaCO3 were determined by this method to be 5% (v/v), 5.5 g/L, and 0.1 g/L, respectively. RSM-guided design of experiments resulted in a maximum lipase production of 73.3 U/ml, which is a 1.7-fold increase in comparison with that obtained in the unoptimized medium. These results point towards the success of the model in developing a process for the production of lipase, an enzyme of enormous industrial significance.

scholarly journals Statistical optimization of culture medium composition for enhanced zeaxanthin production by Cyanophycean microalgae Trichodesmium thiebautii (NIOT 152)

2020 ◽  
Vol 13 (41) ◽  
pp. 4307-4318
Author(s):  
Priyanka Srinivasan ◽  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Sea Water ◽  
Fold Increase ◽  
Medium Composition ◽  
Statistical Optimization ◽  
Age Related Macular Degeneration ◽  
Medium Components ◽  
Age Related ◽  
Trichodesmium Thiebautii

Background/Objectives: Zeaxanthin is a xanthophyll carotenoid revered for its role in the prevention of age related macular degeneration. The study evaluated the zeaxanthin accumulation of the marine Cyanophycean alga Trichodesmium thiebautii (NIOT 152). A sequential statistical technique was applied to optimize the Artificial Sea Water nutrient medium (ASN-III) components for enhancing the zeaxanthin accumulation in T. thiebautii. Methods: A two-level statistical approach involving Plackett-Burman (PB) design to screen the most important nutrients influencing the zeaxanthin accumulation followed by Response surface methodology (RSM) was employed. The results of PB design revealed sodium nitrate, disodium EDTA, magnesium sulphate and sodium carbonate as the crucial medium components for increasing zeaxanthin accumulation. Further, RSM was employed to study the interaction between these factors and identified an optimum concentration of the ingredients for higher zeaxanthin production. Findings: The optimized medium components resulted in 2.33 fold increase in zeaxanthin accumulation (4.3 ± 1.29 mg L-1) as compared to ASN III medium (1.84 ± 0.12 mg L-1). Novelty: There are only few studies on laboratory cultured Trichodesmium and only very few reports are available regarding pigment production from Trichodesmium sp. The present study successfully demonstrated the statistical optimization of ASN III medium to improve zeaxanthin accumulation by Trichodesmium thiebautii. Keywords: ASN III medium; zeaxanthin; Trichodesmium thiebautii; Plackett-Burman; response surface methodology REFERENCE

Optimization of medium composition for lipase production by Candida rugosa NCIM 3462 using response surface methodology

2007 ◽  
Vol 53 (5) ◽  
pp. 643-655 ◽  
Author(s):  
Aravindan Rajendran ◽  
Viruthagiri Thangavelu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Cell Mass ◽  
Candida Rugosa ◽  
Lipase Production ◽  
Sequential Optimization ◽  
Optimization Approach ◽  
Statistical Design Of Experiments ◽  
Groundnut Oil ◽  
Medium Components

A sequential optimization approach using statistical design of experiments was employed to enhance the lipase production by Candida rugosa in submerged batch fermentation. Twelve medium components were evaluated initially using the Plackett–Burman 2-level factorial design. The significant variables affecting lipase production were found to be glucose, olive oil, peptone, (NH4)2SO4, and FeCl3·6H2O. Various vegetable oils were tested in the second step, and among them, groundnut oil was found to be the best inducer for lipase production by C. rugosa. The third step was to identify the optimal values of the significant medium components with groundnut oil as the inducer using response surface methodology. The regression equation obtained from the experimental data designed using a central composite design was solved, and analyzing the response surface contour plots, the optimal concentrations of the significant variables were determined. A maximum lipase activity of 5.95 U·mL–1, which is 1.64 times the maximum activity obtained in the Plackett–Burman experimental trials, was observed. The optimum combination of medium constituents contained 19.604 g·L–1 glucose, 13.065 mL·L–1 groundnut oil, 7.473 g·L–1 peptone, 0.962 g·L–1 (NH4)2SO4, 0.0019 g·L–1 FeCl3·6H2O, and other insignificant components at the fixed level. A predictive model of the combined effects of the independent variables using response surface methodology and an artificial neural network was proposed. The unstructured kinetic models, logistic model, and Luedeking–Piret model were used to describe cell mass and lipase production. The parameters of the models were evaluated and the lipase production by C. rugosa was found to be growth associated.

scholarly journals OVAT Analysis and Response Surface Methodology Based on Nutrient Sources for Optimization of Pigment Production in The Marine-Derived Fungus Talaromyces albobiverticillius 30548 Submerged Fermentation

Marine Drugs ◽  
2021 ◽  
Vol 19 (5) ◽  
pp. 248
Author(s):  
Mekala Venkatachalam ◽  
Alain Shum-Chéong-Sing ◽  
Yanis Caro ◽  
Laurent Dufossé ◽  
Mireille Fouillaud
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Maximum Yield ◽  
Nitrogen Sources ◽  
Industrial Applications ◽  
Fungal Species ◽  
Pigment Production ◽  
Interactive Effects ◽  
Medium Components

Pigment production from filamentous fungi is gaining interest due to the diversity of fungal species, the variety of compounds synthesized, and the possibility of controlled massive productions. The Talaromyces species produce a large panel of metabolites, including Monascus-like azaphilone pigments, with potential use as natural colorants in industrial applications. Optimizing pigment production from fungal strains grown on different carbon and nitrogen sources, using statistical methods, is widespread nowadays. The present work is the first in an attempt to optimize pigments production in a culture of the marine-derived T. albobiverticillius 30548, under the influence of several nutrients sources. Nutrient combinations were screened through the one-variable-at-a-time (OVAT) analysis. Sucrose combined with yeast extract provided a maximum yield of orange pigments (OPY) and red pigments (RPY) (respectively, 1.39 g/L quinizarin equivalent and 2.44 g/L Red Yeast pigment equivalent), as well as higher dry biomass (DBW) (6.60 g/L). Significant medium components (yeast extract, K2HPO4 and MgSO4·7H2O) were also identified from one-variable-at-a-time (OVAT) analysis for pigment and biomass production. A five-level central composite design (CCD) and a response surface methodology (RSM) were applied to evaluate the optimal concentrations and interactive effects between selected nutrients. The experimental results were well fitted with the chosen statistical model. The predicted maximum response for OPY (1.43 g/L), RPY (2.59 g/L), and DBW (15.98 g/L) were obtained at 3 g/L yeast extract, 1 g/L K2HPO4, and 0.2 g/L MgSO4·7H2O. Such optimization is of great significance for the selection of key nutrients and their concentrations in order to increase the pigment production at a pilot or industrial scale.

Optimizing lipase production of Burkholderia sp. by response surface methodology

2006 ◽  
Vol 41 (9) ◽  
pp. 1940-1944 ◽  
Author(s):  
Chien-Hung Liu ◽  
Wei-Bin Lu ◽  
Jo-Shu Chang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Lipase Production
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