Optimization of Medium Components for β-Glucosidase Production from Aspergillus Niger by Response Surface Methodology

2013 ◽  
Vol 419 ◽  
pp. 328-333 ◽  
Author(s):  
Chao Zhang ◽  
Rui Huang ◽  
Hui Tian ◽  
Ru Ming Zhao ◽  
Fa Shun Yu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Influence Factors ◽  
Mutual Effect ◽  
Tween 80 ◽  
Fermentation Medium ◽  
Medium Composition ◽  
Malt Extract ◽  
Medium Components

β-Glucosidase is the key enzyme for the utilization of lignocellulose.But the commercial β-glucosidase can’t be produced. This paper focuses on the study of the β-glucosidase fermentation process.The fermentation medium components for β-glucosidase production from Aspergil lusniger was optimized by response surface methodology (RSM). Firstly, the three of the most important influence factors yeast extract, MnSO4•H2O and MgSO4•7H2O was obtained from Plackett-Burman design screening. Then the path of steepest ascent experiment was adopted to approach the optimal region of the medium composition. Lastly, the optimal concentration and mutual effect of three factors were predicted by RSM. The results showed that the best medium composition was Malt extract 18g/L, Yeast extract 3.22g/L, KH2PO4 3g/L, MnSO4•H2O 0.58mM, Tween-80 0.5mL/L and MgSO4•7H2O 0.23g/L. Under these fermentation conditions, the activity of β-glucosidase was up to 7.33IU/mL with increasing 23.2% than before.

scholarly journals Statistical Optimization of the Medium Composition by Response Surface Methodology to Enhance Schizophyllan Production by Schizophyllum commune

2011 ◽  
Vol 66 (3-4) ◽  
pp. 173-181 ◽  
Author(s):  
Wenbing Li ◽  
Pengpeng Zhou ◽  
Longjiang Yu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Schizophyllum Commune ◽  
Fermentation Medium ◽  
Medium Composition ◽  
Excellent Correlation ◽  
Predicted Values ◽  
Optimal Medium ◽  
Central Composite

The response surface methodology (RSM) involving central composite design (CCD) was employed to optimize the fermentation medium for the cell growth and schizophllan production by Schizophyllum commune CGMCC 5.113 in submerged culture at pH 6.5 and 26°C. The four variables involved in this study were glucose, yeast extract, ammonium nitrate, and magnesium sulfate. The statistical analysis of the results showed that, in the range studied, glucose and yeast extract had a highly significant effect on schizophyllan production. The optimal medium for schizophyllan production calculated from the regression model of RSM was as follows: glucose, 18 g/l; yeast extract, 0.5 g/l; NH4NO3, 0.48 g/l; and MgSO4, 0.05 g/l, with a predicted maximum schizophyllan production of 11.74 g/l. These predicted values were experimentally validated. The excellent correlation between predicted and measured values justifies the validity of the response model. The results of bioreactor fermentation also show that the optimized medium enhanced schizophyllan production (12.80 g/l) by S. commune in a 5-l fermenter

Enhanced Production of Mycelia by the Medicinal Mushroom Cordyceps militaris Using Plackett-Burman Design and Response Surface Methodology

2011 ◽  
Vol 138-139 ◽  
pp. 1209-1214
Author(s):  
Xiao Yu Liu ◽  
Fan Xing Meng ◽  
Yi Bo Zhang ◽  
Huan He ◽  
Wei Han ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Dry Weight ◽  
Fermentation Medium ◽  
Cordyceps Militaris ◽  
Enhanced Production ◽  
Burman Design ◽  
Optimization Of Fermentation ◽  
Plackett Burman Design

Response surface methodology (RSM) was used for statistical optimization of fermentation medium that influenced the yield of endo-polysaccharide from cultivated mycelia of Cordyceps militaris. First, the Plackett-Burman design was used to evaluate the effects of ten variables including glucose, maltose, peptone, yeast extract, KH2PO4, MgSO4, CaCl2, VB1, inoculum density and medium capacity. Among these variables, glucose, peptone and yeast extract were identified to have the significant effects. Subsequently, response surface methodology based on a five-level three-factor central composite design was employed to determine the maximum dry weight (DW) of mycelial biomass at optimum concentration of glucose, peptone and yeast extract. The mycelia growth was found to correlate to the three parameters that could be represented by second-order polynomial models. The optimal values of the three parameters were determined as 4.62% glucose, 3.36% peptone and 0.43% yeast extract. The prediction DW was 23.727g/L. The actual experimental results were in agreement with the prediction.

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 the Sporogenous Medium of Irpex Lacteus Using Response Surface Methodology

2011 ◽  
Vol 343-344 ◽  
pp. 832-837
Author(s):  
Na Zhang ◽  
Qing Yan Chen ◽  
Ruo Chuan Pan ◽  
Xue Feng Yao ◽  
Yan Feng Wang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Fermentation Broth ◽  
Sporulation Medium ◽  
Irpex Lacteus ◽  
Normal Medium ◽  
Medium Components ◽  
Five Factors ◽  
Central Composite

Response surface methodology (RSM) was used to optimize sporulation medium components for improving spores concentration in I. lacteus fermentation broth. Five factors of sporulation medium components, glucose (X1), peptone (X2), yeast extract (X3) MgSO4·7H2O (X4) and VB1 (X5), were chosen to optimize through a five-level, five-factor central composite design (CCD) base on single factor experiments. The concentration of medium components which influenced the sporulation of I. lacteus was further optimized using RSM. The results show that The medium that consists of 4.15 g/L peptone, 2.04 g/L yeast extract, 5.10 g/L glucose, 0.17 g/L MgSO4·7H2O and 0.03 g/L VB1 enhance spores concentration significantly . The final spores concentration (2.19×105 /mL) by using the optimized medium was about five times higher than normal medium.

scholarly journals Modification of Medium Composition for Enhancing the Production of Antifungal Activity fromXenorhabdus stockiaePB09 by Using Response Surface Methodology

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Chirayu Sa-uth ◽  
Paweena Rattanasena ◽  
Angsumarn Chandrapatya ◽  
Prapassorn Bussaman
Keyword(s):  
Response Surface Methodology ◽  
Antifungal Activity ◽  
Response Surface ◽  
Plant Pathogens ◽  
Polynomial Regression ◽  
Culture Media ◽  
Medium Composition ◽  
Fractional Factorial ◽  
Medium Components ◽  
Mineral Sources

Xenorhabdus stockiaePB09 bacterium has been shown to exhibit antifungal activity against several plant pathogens. To improve its efficacy, the optimization of the nutritional components in culture media was performed. The medium components that have significant effects on antifungal activity ofX. stockiaePB09 were initially identified using a fractional factorial design. Response surface methodology and central composite design were then used to create a model for optimizing the levels of carbon, nitrogen, and mineral sources that maximize antifungal activity ofX. stockiaePB09. After that, the suitable carbon, nitrogen, and mineral sources were selected and adjusted by the second-order polynomial regression model, which predicted that 98.62% of antifungal activity could be obtained when the medium contained sucrose, yeast extract, NaCl, and K2HPO4at 3.24, 23.71, 5.46, and 2.73 g/L, respectively. Laboratory verification of this recipe resulted in the antifungal activity at 97.95% in the shake flask experiment after 48-hour cultivation, which was significantly 27.22% higher than that obtained by using the TSB medium. In addition,X. stockiaePB09 cultured in the verified recipe by using 5 L fermenter could effectively inhibit the mycelial growth ofPhytophthorasp.,Rhizoctonia solani,Pythiumsp., andFusarium oxysporum. This study demonstrated that the RSM and CCD were shown to be valuable tools for optimizing the culture medium that maximize the antifungal activity ofX. stockiaePB09.

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.

Optimisation of medium composition for probiotic biomass production using response surface methodology

2013 ◽  
Vol 81 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Masumeh Anvari ◽  
Gholam Khayati ◽  
Shora Rostami
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Polynomial Regression ◽  
Probiotic Bacterium ◽  
Medium Composition ◽  
Bifidobacterium Animalis ◽  
Extract Concentration ◽  
Initial Ph ◽  
Probiotic Biomass

This study was aimed to optimise lactose, inulin and yeast extract concentration and also culture pH for maximising the growth of a probiotic bacterium,Bifidobacterium animalissubsp.lactisin apple juice and to assess the effects of these factors by using response surface methodology. A second-order central composite design was applied to evaluate the effects of these independent variables on growth of the microorganism. A polynomial regression model with cubic and quadratic terms was used for analysis of the experimental data. It was found that the effects involving inulin, yeast extract and pH on growth of the bacterium were significant, and the strongest effect was given by the yeast extract concentration. Estimated optimum conditions of the factors on the bacterial growth are as follows: lactose concentration=9·5 g/l; inulin concentration=38·5 mg/l; yeast extract concentration=9·6 g/l and initial pH=6·2.

scholarly journals Optimization of medium composition to induce cellulase production of Bacillus sp. by Response Surface Methodology

2014 ◽  
Vol 17 (2) ◽  
pp. 47-55
Author(s):  
Loan Thi Bich Nguyen ◽  
Huong Thuy Nguyen
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Cellulase Activity ◽  
Cellulase Production ◽  
Culture Collection ◽  
Medium Composition ◽  
Interactive Effects ◽  
Design Matrix ◽  
Meat Extract

In the past, optimization in biological analyses has been performed by measuring influence of one factor at a time. The disadvantage of this technique is not presence any interactive effects of factors studies and it needs a large number of experiments. Consequently, the Response Surface Methodology (RSM) is the most popular choice for optimization. It used the effects of mathematics and statistics to study optimization with minimum experimental trials and therefore interactive variables may be involved. This study has selected and screened seven Bacillus strain in Vietnam Type Culture Collection which can product cellulase in the medium with CMC as an inducer. VTCC-B-0497 presented the best result. Then, only 15 experiments of design matrix by Box-Behnken were necessary to determine optimal concentrations of three variables including the concentration of Carboxymethylcellulose, Yeast extract and Meat extract to product cellulase. The model could be employed to predict the response. The maximum of cellulase activity was 2.48 U at the concentration of Carboxymethylcellulose 0.25% w/v, yeast extract 0.7% w/v and meat extract 0.2% w/v.

scholarly journals Effect of C/N Ratio and Media Optimization through Response Surface Methodology on Simultaneous Productions of Intra- and Extracellular Inulinase and Invertase fromAspergillus nigerATCC 20611

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Mojdeh Dinarvand ◽  
Malahat Rezaee ◽  
Malihe Masomian ◽  
Seyed Davoud Jazayeri ◽  
Mohsen Zareian ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Scale Up ◽  
Medium Composition ◽  
Quadratic Model ◽  
Coefficient Of Determination ◽  
Main Reaction ◽  
Effective Response ◽  
Triton X

The study is to identify the extraction of intracellular inulinase (exo- and endoinulinase) and invertase as well as optimization medium composition for maximum productions of intra- and extracellular enzymes fromAspergillus nigerATCC 20611. From two different methods for extraction of intracellular enzymes, ultrasonic method was found more effective. Response surface methodology (RSM) with a five-variable and three-level central composite design (CCD) was employed to optimize the medium composition. The effect of five main reaction parameters including sucrose, yeast extract, NaNO3, Zn+2, and Triton X-100 on the production of enzymes was analyzed. A modified quadratic model was fitted to the data with a coefficient of determination (R2) more than 0.90 for all responses. The intra-extracellular inulinase and invertase productions increased in the range from 16 to 8.4 times in the optimized medium (10% (w/v) sucrose, 2.5% (w/v) yeast extract, 2% (w/v) NaNO3, 1.5 mM (v/v) Zn+2, and 1% (v/v) Triton X-100) by RSM and from around 1.2 to 1.3 times greater than in the medium optimized by one-factor-at-a-time, respectively. The results of bioprocesses optimization can be useful in the scale-up fermentation and food industry.

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