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.

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.

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 Enhanced Interferon-α2b Production in Periplasmic Space of Escherichia coli through Medium Optimization using Response Surface Method

2009 ◽  
Vol 3 (1) ◽  
pp. 117-124 ◽  
Author(s):  
Joo Shun Tan ◽  
Ramakrishnan Nagasundara Ramanan ◽  
Siti Nor Ani Azaman ◽  
Tau Chuan Ling ◽  
Mustapha Shuhaimi ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Response Surface ◽  
Yeast Extract ◽  
Nitrogen Sources ◽  
Luria Bertani ◽  
Human Interferon ◽  
Shake Flask Culture ◽  
Periplasmic Space ◽  
Medium Components ◽  
Interferon Α2b

The influence of different carbon and nitrogen sources on growth of recombinant Escherichia coli and human interferon-α2b (IFN-α2b) production in periplasmic space was studied in shake flask culture. A statistical method based on Plackett-Burman design was used to screen the main medium components that greatly influenced the performance of the fermentation process. The optimization of medium was performed using response surface methodology (RSM) where three critical factors (glucose, yeast extract and peptone) were optimized using central composite design. The highest yield of periplasmic recombinant human interferon-α2b (PrIFN-α2b) (335.8 μg/L) was predicted to be obtained in optimized medium containing 5.47 g/L glucose, 55.24 g/L yeast extract and 42.27 g/L peptone.. The production of IFN-α2b in periplasmic space in optimized medium was about 2.5, 11.7 and 124.4 times higher than Terrific broth (TB), Luria-Bertani (LB), and minimal medium (M9), respectively.

scholarly journals Statistical optimization of culture medium for yellow pigment production by Thermomyces sp.

2015 ◽  
Vol 7 (1) ◽  
pp. 203-210
Author(s):  
R. Poorniammal ◽  
S. Gunasekaran ◽  
R. Murugesan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Culture Medium ◽  
Yellow Pigment ◽  
Pigment Production ◽  
Quadratic Model ◽  
High Yield ◽  
Dipotassium Hydrogen Phosphate ◽  
Yellow Pigments

In present study, Thermomyces sp. were able to produce high yield of yellow pigments screened. Pigment production by Thermomyces sp was optimized by employing factorial design and response surface techniques in submerged fermentation. The variables evaluated were the concentrations of, sucrose, yeast extract, ammonium sulphate, magnesium sulphate and dipotassium hydrogen phosphate having as response pigment production. One factor at-a-time method was employed for the optimization of media components. Response surface methodology (RSM) optimized these nutrient parameters for maximum yellow pigment production (1387 OD units), which resulted at 35.5 g/L sucrose 5.5 g/L yeast extract, 2.5 g/L NH4SO4, 0.3 g/L MgSO4 and 1.0 g/L K2HPO4 in the medium. Response surface methodology (RSM) was further used to determine the optimum values of process variables for maximum yellow pigment production. The fit of the quadratic model was found to be significant. A significant increase in yellow pigment production was achieved using RSM.

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 Response Surface Methodology Optimization of an Acidic Protease Produced by Penicillium bilaiae Isolate TDPEF30, a Newly Recovered Endophytic Fungus from Healthy Roots of Date Palm Trees (Phoenix dactylifera L.)

2019 ◽  
Vol 7 (3) ◽  
pp. 74 ◽  
Author(s):  
Fedia Ben Mefteh ◽  
Fakher Frikha ◽  
Amal Daoud ◽  
Ali Chenari Bouket ◽  
Lenka Luptakova ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Date Palm ◽  
Nitrogen Sources ◽  
Phoenix Dactylifera ◽  
Industrial Applications ◽  
Biochemical Properties ◽  
Protease Production ◽  
Initial Ph ◽  
Penicillium Bilaiae

To explore proteolytic activity of endophytic fungi inhabiting date palm roots, a Penicillium bilaiae isolate, displaying the highest level of protease production, has been recovered. Response surface methodology (RSM) was applied to optimize culture conditions for protease production by the fungus. Plackett-Burman design allowed for screening of variables effective in protease production. Results indicated that temperature, initial pH and glucose concentration dramatically affect protease yield. These factors were further optimized using a Box-Behnken design and RSM. A combination of initial pH (6.26), temperature (24.5 °C), glucose (13.75 g/L), NaNO3 (1.5 g/L), MgSO4 (0.2 g/L), KH2PO4 (0.5 g/L) and KCl (0.5 g/L) were optimum for maximum production of protease. A 1086-fold enhancement of protease production was gained after optimization. Biochemical properties of fungal protease including the effect of pH and temperature on the activity and the stability of proteolytic enzyme were determined. Moreover, the influence of carbon and nitrogen sources, metal ions, detergents as well as enzyme inhibitors was investigated. Our results highlighted that protease of Penicillium bilaiae isolate TDPEF30 could be considered as a promising candidate for industrial applications.

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.

A fast and accurate solution to optimal design of eddy-current PMCs with standard disc type

2021 ◽  
pp. 1-19
Author(s):  
Zheng rong Xia ◽  
Yong chen Pei ◽  
Dong xu Wang ◽  
Shun Wang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Optimal Solution ◽  
Industrial Applications ◽  
Accurate Solution ◽  
Parameter Determination ◽  
Experimental Investigations ◽  
Fe Model ◽  
Contribution Rate ◽  
Standard Disc

Although permanent magnet couplings (PMCs) have been under research for many years and have found successful industrial applications, this is still a technology under development. Accurate parameter determination is of significance for performance analysis and critical decisions on PMC design. However, the determination can often lead to an unacceptable increase in computation, especially when finite elements (FE) are used. The study aims to develop an FE model that is used for the structural design of a standard-disc type PMC for optimal torque. For the quick and accurate design, an integration optimal solution of the response surface methodology (RSM) and the Taguchi’s method was proposed. To verify the simulation, a series of experimental investigations were conducted on a self-developed testing platform. Furthermore, for a minimum set of FE analyses (FEA), a quantitative indicator called contribution rate, which can reflect effect level of structure parameters on the torque, was given based on the Taguchi method. Apart from this, the orthogonal matrix was used for the reduction of the FE calculation. Based on the contribution rate, the response surface methodology was adopted for the optimal torque determination with no increase in the PM volume. According to the optimization results, a fitting formula, which considers the contribution rates of the optimization variables, was presented. The results suggest that the FE simulations agree very well with the experiments, and the fitting formula can be used in the PMC design.

Sign in / Sign up

Export Citation Format

Share Document