scholarly journals Organosolvent Extraction Coupled with Steam Explosion Pretreatment of Wild Sugarcane and Optimization of Cellulase Activity using Response Surface Methodology

2021 ◽  
Vol 15 (1) ◽  
pp. 114-122
Author(s):  
S. Aruna ◽  
Sriramulu Gobikrishnan
Keyword(s):  
Response Surface Methodology ◽  
Enzyme Activity ◽  
Response Surface ◽  
Steam Explosion ◽  
Cellulase Activity ◽  
Enzyme Loading ◽  
Box Behnken Design ◽  
Cellulase Enzyme ◽  
Steam Explosion Pretreatment ◽  
Optimal Ph

The present study focuses on the effect of the organosolvent extraction with steam explosion pretreatment and optimization of cellulase activity using the response surface methodology for the production of bioethanol. The commercial cellulase enzyme was characterized for its optimal pH, temperature, and also studied for the enzyme activity. The effect of organosolvent pretreatment was identified in both native and pretreated wild sugarcane by SEM, XRD, and FTIR. The cellulase enzyme was found to be tolerant with an optimal pH of 5.0 with cellulase activity of pretreated wild sugarcane is found to be 25.36 IU/ml. Organosolvent extraction of wild sugarcane was carried out using water and ethanol as solvent. The composition of lignin, hemicelluloses, and cellulose was also determined in both pretreated and native biomass. The activity of the enzyme was observed over the effect of enzyme loading, substrate loading, temperature, and pH using a Box-Behnken design.

scholarly journals OPTIMASI SUHU DAN pH TERHADAP AKTIVITAS ENZIM ENDOGLUKANASE MENGGUNAKAN RESPONSE SURFACE METHODOLOGY (RSM)

2019 ◽  
Vol 7 (2) ◽  
pp. 243
Author(s):  
Ambar Kusumaningrum ◽  
Ida Bagus Wayan Gunam ◽  
I Made Mahaputra Wijaya
Keyword(s):  
Response Surface Methodology ◽  
Enzyme Activity ◽  
Response Surface ◽  
Bacterial Isolate ◽  
Cellulose Degradation ◽  
Growth Media ◽  
Cellulolytic Bacteria ◽  
Cellulase Enzyme ◽  
Test Optimization ◽  
Central Composite

This study aims to determine the optimal temperature and pH for the growth of cellulolytic bacterial isolates to produce high cellulase enzyme activity. This study used one potential cellulolytic bacterial isolate B2S8 which had the highest cellulose degradation value and highest cellulase enzyme activity in previous studies. Carboxymethyl Cellulose (CMC) was used as a substrate on growth media and enzyme activity test. Optimization of temperature and pH on cellulase enzyme activity was done by Response Surface Methodology (RSM) by Central Composite Design (CCD). The results using Response Surface Methodology (RSM) showed that the highest endoglucanase enzyme activity was at 36.9 ºC and pH 6.9 was equal to 0.0269 IU/mL. Keywords: cellulolytic bacteria, endoglucanase enzyme, activity, Response Surface Methodology.

Optimization of Liquid Culture Conditions of Methamidophos Degrading Enzyme from Staphylococcus rosehbach

2013 ◽  
Vol 303-306 ◽  
pp. 2683-2686 ◽  
Author(s):  
Na Zhang ◽  
Qing Qi Guo ◽  
Xiaofei Liu ◽  
Kun Song ◽  
Shuang Wang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Enzyme Activity ◽  
Response Surface ◽  
Liquid Culture ◽  
Soybean Protein ◽  
Culture Conditions ◽  
Box Behnken Design ◽  
Degrading Enzyme ◽  
Culture Time ◽  
Degradation Ratio

The nutritional parameters of methamidophos degrading enzyme, which is isolated from soil from Daqing and identified as Staphylococcus Rosehbach, were studied by response surface methodology (RSM). Glucose, peptone and culture time were analyzed by Box-Behnken design for optimizing their concentrations in the medium and the effect of their mutual interaction on methamidophos degrading enzyme activity. Glucose and soybean protein were found in influencing the methamidophos degrading enzyme activity highly significant. Glucose and soybean protein also showed an effect on the methamidophos degrading enzyme activity in interaction with other variables. The optima values of the parameters obtained through RSM, 0.31% glucose, 0.09% peptone and culture time 72h were applied. Actual value of verifiable experimentation was that the degradation ratio of methamidophos degrading enzyme to methamidophos was 39.8% at the optima conditions.

scholarly journals Optimization of the Steam Explosion Pretreatment Effect on Total Flavonoids Content and Antioxidative Activity of Seabuckthom Pomace by Response Surface Methodology

Molecules ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 60 ◽  
Author(s):  
Jianqiu Tu ◽  
Huiping Liu ◽  
Naxin Sun ◽  
Shaojuan Liu ◽  
Pei Chen
Keyword(s):  
Response Surface Methodology ◽  
Antioxidant Capacity ◽  
Response Surface ◽  
Steam Explosion ◽  
Radical Scavenging ◽  
Mesh Size ◽  
Steam Pressure ◽  
Total Flavonoids ◽  
Steam Explosion Pretreatment ◽  
Total Flavonoids Content

Steam explosion pretreatment was conducted on seabuckthom pomace. Response surface methodology was used to optimize the treatment conditions of steam explosion, including steam pressure, duration and particle size. After this, the content of total flavonoids and the antioxidant capacity of total flavonoids were investigated. Results showed that when the steam pressure was 2.0 MPa, duration was 88 s and a sieving mesh size was 60, the total flavonoids content in seabuckthorm reached a maximum of 24.74 ± 0.71 mg CAE/g, an increase of 246% compared with that without steam explosion treatment (7.14 ± 0.42 mg CAE/g). Also, DPPH and ·OH free radical scavenging ability showed significant improvement, with an IC50 decrease to 13.53 μg/mL and 4.32 μg/mL, respectively, far lower than that in original samples. Through the scanning electron microscope, the surface of seabuckthom pomace after steam explosion was crinkled, curly, and holey. Our study showed that the content of total flavonoids in seabuckthom pomace could be obviously promoted and the antioxidant capacity of total flavonoids also improved significantly, after applying steam explosion pretreatment to seabuckthom pomace, making this approach meaningful for the reuse of seabuckthom pomace resources.

Optimisation of the Oil Extraction from Nigella sativa Seeds Using Response Surface Methodology

2017 ◽  
Vol 68 (2) ◽  
pp. 331-336
Author(s):  
Gabriela Isopencu ◽  
Mirela Marfa ◽  
Iuliana Jipa ◽  
Marta Stroescu ◽  
Anicuta Stoica Guzun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nigella Sativa ◽  
Polynomial Equation ◽  
Herbaceous Plant ◽  
Box Behnken Design ◽  
Pareto Analysis ◽  
Black Cumin ◽  
Mediterranean Countries ◽  
Experimental Values

Nigella sativa, also known as black cumin, an annual herbaceous plant growing especially in Mediterranean countries, has recently gained considerable interest not only for its use as spice and condiment but also for its healthy properties of the fixed and essential oil and its potential as a biofuel. Nigella sativa seeds fixed oil, due to its high content in linoleic acid followed by oleic and palmitic acid, could be beneficial to human health. The objective of this study is to determine the optimum conditions for the solvent extraction of Nigella sativa seeds fixed oil using a three-level, three-factor Box-Behnken design (BBD) under response surface methodology (RSM). The obtained experimental data, fitted by a second-order polynomial equation were analysed by Pareto analysis of variance (ANOVA). From a total of 10 coefficients of the statistical model only 5 are important. The obtained experimental values agreed with the predicted ones.

scholarly journals Optimization of Crude Oil and PAHs Degradation by Stenotrophomonas rhizophila KX082814 Strain through Response Surface Methodology Using Box-Behnken Design

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Praveen Kumar Siddalingappa Virupakshappa ◽  
Manjunatha Bukkambudhi Krishnaswamy ◽  
Gaurav Mishra ◽  
Mohammed Ameenuddin Mehkri
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Response Surface ◽  
Oxygen Demand ◽  
Inoculum Size ◽  
Coefficient Of Determination ◽  
Oil Removal ◽  
Box Behnken Design ◽  
Stenotrophomonas Rhizophila ◽  
Crude Oil Removal

The present paper describes the process optimization study for crude oil degradation which is a continuation of our earlier work on hydrocarbon degradation study of the isolate Stenotrophomonas rhizophila (PM-1) with GenBank accession number KX082814. Response Surface Methodology with Box-Behnken Design was used to optimize the process wherein temperature, pH, salinity, and inoculum size (at three levels) were used as independent variables and Total Petroleum Hydrocarbon, Biological Oxygen Demand, and Chemical Oxygen Demand of crude oil and PAHs as dependent variables (response). The statistical analysis, via ANOVA, showed coefficient of determination R2 as 0.7678 with statistically significant P value 0.0163 fitting in second-order quadratic regression model for crude oil removal. The predicted optimum parameters, namely, temperature, pH, salinity, and inoculum size, were found to be 32.5°C, 9, 12.5, and 12.5 mL, respectively. At this optimum condition, the observed and predicted PAHs and crude oil removal were found to be 71.82% and 79.53% in validation experiments, respectively. The % TPH results correlate with GC/MS studies, BOD, COD, and TPC. The validation of numerical optimization was done through GC/MS studies and   % removal of crude oil.

Studies of kerf width and surface roughness using the response surface methodology in AA 4032–TiC composites

2021 ◽  
pp. 095440892110414
Author(s):  
TS Senthilkumar ◽  
R Muralikannan ◽  
T Ramkumar ◽  
S Senthil Kumar
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Metal Matrix ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Kerf Width ◽  
Wire Electrical Discharge Machining ◽  
Box Behnken Design ◽  
Pulse On Time

A substantially developed machining process, namely wire electrical discharge machining (WEDM), is used to machine complex shapes with high accuracy. This existent work investigates the optimization of the process parameters of wire electrical discharge machining, such as pulse on time ( Ton), peak current ( I), and gap voltage ( V), to analyze the output performance, such as kerf width and surface roughness, of AA 4032–TiC metal matrix composite using response surface methodology. The metal matrix composite was developed by handling the stir casting system. Response surface methodology is implemented through the Box–Behnken design to reduce experiments and design a mathematical model for the responses. The Box–Behnken design was conducted at a confident level of 99.5%, and a mathematical model was established for the responses, especially kerf width and surface roughness. Analysis of variance table was demarcated to check the cogency of the established model and determine the significant process. Surface roughness attains a maximum value at a high peak current value because high thermal energy was released, leading to poor surface finish. A validation test was directed between the predicted value and the actual value; however, the deviation is insignificant. Moreover, a confirmation test was handled for predicted and experimental values, and a minimal error was 2.3% and 2.12% for kerf width and surface roughness, respectively. Furthermore, the size of the crater, globules, microvoids, and microcracks were increased by amplifying the pulse on time.

Experimental Studies Using Response Surface Methodology for Condition Monitoring of Ball Bearings

2010 ◽  
Vol 132 (4) ◽  
Author(s):  
M. S. Patil ◽  
Jose Mathew ◽  
P. K. Rajendrakumar ◽  
Sumit Karade
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Interaction Effect ◽  
Damage Identification ◽  
Experimental Studies ◽  
Design Procedure ◽  
Defect Size ◽  
Ball Bearings ◽  
Box Behnken Design ◽  
Outer Race

The presence of defect in the bearing (outer race, inner race, or ball) results in increased vibrations. Time domain indices such as rms, crest factor, and kurtosis are some of the important parameters used to monitor the condition of the bearing. Radial load and operating speed also have an important role in bearing vibrations. The interaction between the defect size, load, and speed helps to study their effect on vibrations more effectively. Response surface methodology (RSM) is a combination of statistical and mathematical techniques to represent the relationship between the inputs and the outputs of a physical system. But so far, the literature related to its application in bearing damage identification is scarce. The proposed study uses RSM to study the influence of defect size, load, and speed on the bearing vibrations. Kurtosis is used as response factor. Experiments are planned using Box Behnken design procedure. Experiments are performed using 6305 ball bearings and the results have been presented. MINITAB statistical software is used for analysis. It is seen from the analysis of the experimental results that the defect size, interaction effect of defect size and load, and interaction effect of defect size and speed are significant. Response surface method using Box Behnken design and analysis of variance has proved to be a successful technique to assess the significant factors related to bearing vibrations.

scholarly journals Steam-explosion-modified optimization of soluble dietary fiber extraction from apple pomace using response surface methodology

2017 ◽  
Vol 16 (1) ◽  
pp. 20-26 ◽  
Author(s):  
Xinhong Liang ◽  
Junjian Ran ◽  
Junliang Sun ◽  
Tianlin Wang ◽  
Zhonggao Jiao ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Dietary Fiber ◽  
Steam Explosion ◽  
Apple Pomace ◽  
Soluble Dietary Fiber ◽  
Fiber Extraction

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.  

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