Utilization of Groundnut Husk as a Solid Substrate for Cellulase Production by Aspergillus niger Using Response Surface Methodology

2013 ◽  
Vol 5 (4) ◽  
pp. 585-593 ◽  
Author(s):  
A. Salihu ◽  
A. B. Sallau ◽  
A. Adamu ◽  
F. A. Kudu ◽  
M. M. Tajo ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Aspergillus Niger ◽  
Response Surface ◽  
Cellulase Production ◽  
Solid Substrate

scholarly journals Optimization of Cellulase Production by Aspergillus niger ITBCC L74 with Bagasse as Substrate using Response Surface Methodology

2018 ◽  
Vol 25 (3) ◽  
pp. 115
Author(s):  
Abdullah Abdullah ◽  
Hamid Hamid ◽  
Marcelinus Christwardana ◽  
H. Hadiyanto
Keyword(s):  
Response Surface Methodology ◽  
Aspergillus Niger ◽  
Response Surface ◽  
Cellulase Activity ◽  
Cellulase Production ◽  
Lignocellulosic Material ◽  
Huge Amount ◽  
Activity Effect ◽  
Mgcl2 Concentration ◽  
Important Enzyme

Cellulase is a very important enzyme for lignocelluloses based ethanol production. Bagasse contains mainly cellulose (57.76%), hemicellulose (12.44%), lignin (21.34%), and others (7.96%). Lignocellulosic material has been considered as the good option for cellulase production because it is cheap and already available in a huge amount. The objective of this research was to produce cellulase enzyme and to optimize it by using response surface methodology. The bagasse with water content of 80% was incubated with 2 ml inoculum of Aspergillus niger ITBCC L74 in a 250 ml Erlenmeyer flask. After reaching the specified time the enzyme was extracted and then determined for its activity. Effect of process parameters such as pH, urea and MgCl2 addition were studied. The optimal cellulase activity was achieved at urea concentration of 4.5% (w/w), MgCl2 concentration of 1 mM and pH of 3.5, with maximum enzyme activity was 0.630 U/gr.

scholarly journals Response surface methodology-artificial neural network based optimization and strain improvement of cellulase production by Streptomyces sp.

2020 ◽  
Vol 36 (4) ◽  
Author(s):  
Ega Soujanya Lakshmi ◽  
Manda Rama Narasinga Rao ◽  
Muddada Sudhamani
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Wild Strain ◽  
Cellulase Activity ◽  
Cellulase Production ◽  
Optimal Conditions ◽  
Zone Formation ◽  
Artificial Neural

ABSTRACT Thirty seven different colonies were isolated from decomposing logs of textile industries. From among these, a thermotolerant, grampositive, filamentous soil bacteria Streptomyces durhamensis vs15 was selected and screened for cellulase production. The strain showed clear zone formation on CMC agar plate after Gram’s iodine staining.  Streptomyces durhamensis vs15 was further confirmed for cellulase production by estimating the reducing sugars through dinitrosalicylic acid (DNS) method. The activity was enhanced by sequential mutagenesis using three mutagens of ultraviolet irradiation (UV), N methyl-N’-nitro-N-nitrosoguanidine (NTG) and Ethyl methane sulphonate (EMS). After mutagenesis, the cellulase activity of GC23 (mutant) was improved to 1.86 fold compared to the wild strain (vs15). Optimal conditions for the production of cellulase by the GC 23 strain were evaluated using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). Effect of pH, temperature, duration of incubation, , and substrate concentration on cellulase production were evaluated. Optimal conditions for the production of cellulase enzyme using Carboxy Methyl Cellulase as a substrate are 55 oC of temperature, pH of 5.0 and incubation for 40 h. The cellulase activity of the mutant Streptomyces durhamensis GC23 was further optimised to 2 fold of the activity of the wild type by RSM and ANN.  

Optimization of Culture Conditions for Cold-Active Cellulase Production by Penicillium cordubense D28 Using Response Surface Methodology

2011 ◽  
Vol 183-185 ◽  
pp. 994-998
Author(s):  
Shuo Dong ◽  
Nai Yu Chi ◽  
Qing Fang Zhang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Cellulase Activity ◽  
Cellulase Production ◽  
Culture Conditions ◽  
Batch Reactors ◽  
Corn Meal ◽  
Cold Active ◽  
Initial Ph ◽  
Cost Efficient

The design of an optimum and cost-efficient medium for production of cold-active cellulase by Penicillium cordubense D28 was attempted by using response surface methodology (RSM). Based on the Plackett–Burman design, corn meal, (NH4)2SO4 and branc were selected as the most critical nutrient. Subsequently, they were investigated by the Box-Behnken design. Results showed that the maximum cold-active cellulase activity of 110.4U/mL was predicted when the concentration of corn meal, (NH4)2SO4 and branc were 21.97 g/L, 2.39 g/L and 14.99 g/L, respectively. The results were further verified by triplicate experiments. The batch reactors were operated under an optimized condition of the respective corn meal, (NH4)2SO4 and branc concentration of 22 g/L , 2.4 g/L and 15 g/L , the initial pH of 6.0 and experimental temperature of 20 ± 1°C. Without further pH adjustment, the maximum cold-active cellulase activity of 109.8 U/mL was obtained based on the optimized medium with further verified the practicability of this optimum strategy.

scholarly journals Optimization of cellulase production by bacillus sp. BPPT CC RK2 with pH and temperature variation using response surface methodology

2018 ◽  
Vol 67 ◽  
pp. 02051
Author(s):  
Misri Gozan ◽  
Andre Fahriz Harahap ◽  
Chandra Paska Bakti ◽  
Siswa Setyahadi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Agricultural Waste ◽  
Cellulase Activity ◽  
Preliminary Test ◽  
Cellulase Production ◽  
Bacillus Sp ◽  
Positive Effects ◽  
Rsm Optimization ◽  
Quadratic Effects

Indonesia has abundant ethanol biomass feedstocks. However the second-generation ethanol production process is still hampered by the unavailability of cellulase enzyme in the process of decomposition of lignocellulose into saccharides that can be processed into ethanol through fermentation. Cellulase is known as exozyme produced by Bacillus sp. in submerged fermentation. In this study, cellulase production by Bacillus sp. CC BPPT RK2 on natural and abundant agricultural waste substrates (rice bran and coconut water) was evaluated by investigating the optimum conditions for cellulase production in a 50 ml laboratory scale. Preliminary test using Luria Bentani (LB) medium with additional CMC (1%) were done to select optimum range of pH and Temperature. The preliminary tests results were then followed by optimization of pH and temperature, which were carried out using response surface methodology (RSM). RSM optimization model showed optimum values 6.23 for pH and 40.04 °C, with 14 terms (each with 1 degree of freedom), 4 linear effects, 6 interaction effects and 4 quadratic effects. These optimization by RSM results were slightly different compared to preliminary test, showing the effect of interactions between parameters. The characteristics of interaction among variables tested against the cellulase activity are reported in this study including: positive effects on cellulase activity of the resulting responses; negative interactions affecting the response of cellulase activity; synergistic interaction; and antagonistic interactions between each other.

Optimization of CMCase production from sorghum straw by Aspergillus terreus SUK-1 under solid substrate fermentation using response surface methodology

2013 ◽  
Author(s):  
El Mubarak Musa Tibin ◽  
Najeeb Kaid Naseer Al-Shorgani ◽  
Nawal Noureldaim Abuelhassan ◽  
Aidil Abdul Hamid ◽  
Mohd Sahaid Kalil ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Aspergillus Terreus ◽  
Solid Substrate ◽  
Solid Substrate Fermentation ◽  
Sorghum Straw
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