scholarly journals Enhanced production of fibrinolytic enzyme by a new Xanthomonas oryzae IND3 using low-cost culture medium by response surface methodology

2019 ◽  
Vol 26 (2) ◽  
pp. 217-224 ◽  
Author(s):  
Ponnuswamy Vijayaraghavan ◽  
Mariadhas Valan Arasu ◽  
R. Anantha Rajan ◽  
N.A. Al-Dhabi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Culture Medium ◽  
Low Cost ◽  
Fibrinolytic Enzyme ◽  
Xanthomonas Oryzae ◽  
Enhanced Production

scholarly journals Novel Sequential Screening and Enhanced Production of Fibrinolytic Enzyme byBacillussp. IND12 Using Response Surface Methodology in Solid-State Fermentation

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Ponnuswamy Vijayaraghavan ◽  
P. Rajendran ◽  
Samuel Gnana Prakash Vincent ◽  
Arumugaperumal Arun ◽  
Naif Abdullah Al-Dhabi ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Solid State ◽  
Response Surface ◽  
Solid State Fermentation ◽  
Enzyme Production ◽  
Blood Clot ◽  
Fibrinolytic Enzyme ◽  
Surface Model ◽  
Cow Dung ◽  
Enhanced Production

Fibrinolytic enzymes have wide applications in clinical and waste treatment. Bacterial isolates were screened for fibrinolytic enzyme producing ability by skimmed milk agar plate using bromocresol green dye, fibrin plate method, zymography analysis, and goat blood clot lysis. After these sequential screenings,Bacillussp. IND12 was selected for fibrinolytic enzyme production.Bacillussp. IND12 effectively used cow dung for its growth and enzyme production (687±6.5 U/g substrate). Further, the optimum bioprocess parameters were found out for maximum fibrinolytic enzyme production using cow dung as a low cost substrate under solid-state fermentation. Two-level full-factorial experiments revealed that moisture, pH, sucrose, peptone, and MgSO4were the vital parameters with statistical significance (p<0.001). Three factors (moisture, sucrose, and MgSO4) were further studied through experiments of central composite rotational design and response surface methodology. Enzyme production of optimized medium showed4143±12.31 U/g material, which was more than fourfold the initial enzyme production (978±36.4 U/g). The analysis of variance showed that the developed response surface model was highly significant (p<0.001). The fibrinolytic enzyme digested goat blood clot (100%), chicken skin (83±3.6%), egg white (100%), and bovine serum albumin (29±4.9%).

scholarly journals Optimization by response surface methodology for production of β-galactosidase from Enterococcus faecium using recycled medium

2020 ◽  
Vol 9 (10) ◽  
pp. e479108135
Author(s):  
Elaine Cristina da Silva ◽  
Priscilla Régia de Andrade Calaça ◽  
Ana Lúcia Figueiredo Porto ◽  
Raquel Pedrosa Bezerra ◽  
Maria Taciana Cavalcanti Vieira Soares
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Chlorella Vulgaris ◽  
Enterococcus Faecium ◽  
Culture Medium ◽  
Low Cost ◽  
Arthrospira Platensis ◽  
Fermentation Time ◽  
Lactose Concentration ◽  
Photosynthetic Microorganisms

In this study, recycled medium from three photosynthetic microorganisms (Chlorella vulgaris, Dunaliella tertiolecta and Arthrospira platensis) was evaluated for use in producing β-galactosidase, an enzyme traditionally used to degrade lactose in dairy products. Recycled medium from Chlorella vulgaris was selected to optimize culture medium to be used to produce β-galactosidase by Enterococcus faecium in submerged fermentation. Response Surface Methodology (RSM) was used to optimize the levels of the variables: temperature (30-40°C), lactose concentration (0-5%), fermentation time (12-24h), pH (6-8) and their interaction. All variables studied had a statistically significant effect on the production of β-galactosidase. The optimal conditions for producing the enzyme were achieved: temperature of 31ºC, lactose concentration of 5.34%, fermentation time of 12h and pH of 8.0. Under these conditions, the β-galactosidase activity was 29.85 U/mL which was quite close to the predicted value (30.83 U/mL). Finally, it can be concluded that recycled medium from optimized C. vulgaris supernatant may well be important for the biotechnology industry as it is an abundant low-cost source for producing β-galactosidase by Enterococcus faecium.

Optimization of culture medium and growth conditions of the plant growth-promoting bacterium Herbaspirillum seropedicae BR11417 for its use as an agricultural inoculant using response surface methodology (RSM)

2019 ◽  
Author(s):  
Wagner Scheidt ◽  
Izadora Chauke Piovezan dos Santos Pedroza ◽  
Juliane Fontana ◽  
Luiz Augusto da Cruz Meleiro ◽  
Luis Henrique de Barros Soares ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Plant Growth ◽  
Response Surface ◽  
Culture Medium ◽  
Growth Conditions ◽  
Herbaspirillum Seropedicae ◽  
Plant Growth Promoting ◽  
Growth Promoting

scholarly journals Optimization of medium parameters by response surface methodology (RSM) for enhanced production of cutinase from Aspergillus sp. RL2Ct

3 Biotech ◽  
2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Vijaya Kumari ◽  
Vijay Kumar ◽  
Ravin Chauhan ◽  
Mohammad Asif ◽  
Tek Chand Bhalla
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Enhanced Production ◽  
Aspergillus Sp

Using Response Surface Methodology in Synthesis of Ultrafine Copper Nanoparticles by Electrolysis

2016 ◽  
Vol 15 (01n02) ◽  
pp. 1650001 ◽  
Author(s):  
A. Tamilvanan ◽  
K. Balamurugan ◽  
K. Ponappa ◽  
B. Madhan Kumar
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Low Cost ◽  
Cu Nanoparticles ◽  
Ambient Conditions ◽  
X Ray Diffraction ◽  
Electrode Gap ◽  
Average Size ◽  
Ultrafine Copper

Electrolysis is a method used for producing copper (Cu) nanoparticles at faster rate and at low cost in ambient conditions. The property of Cu nanoparticles prepared by electrolysis depends on their process parameters. The influence of selected process parameters such as copper sulfate (CuSo4) concentration, electrode gap and electrode potential difference on particle size was investigated. To optimize these parameters response surface methodology (RSM) was used. Cu nanoparticles prepared by electrolysis were characterized by using X-ray diffraction (XRD) and scanning electron microscope (SEM). After reviewing the results of analysis of variance (ANOVA), mathematical equation was created and optimized parameters for producing Cu nanoparticles were determined. The results confirm that the average size of Cu particle at the optimum condition was found to be 17[Formula: see text]nm and they are hexagonal in shape.

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