scholarly journals Removal of Fluoride from Water Using Mesoporous MCM-41: An Optimization Approach Using Response Surface Methodology (RSM)

2021 ◽  
Vol 10 (03) ◽  
pp. 95-114
Author(s):  
Bodhaditya Das ◽  
Saumen Banerjee ◽  
Prasanta K. Raul ◽  
Rashmi R. Devi ◽  
Iohbor M. Umlong ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Optimization Approach ◽  
Mcm 41

scholarly journals Response surface methodology (RSM) for optimization of cadmium ions adsorption using C16-6-16 incorporated mesoporous MCM-41

2019 ◽  
Vol 1 (8) ◽  
Author(s):  
Suman Saini ◽  
Jyoti Chawla ◽  
Rajeev Kumar ◽  
Inderpreet Kaur
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Cadmium Ions ◽  
Mcm 41

Response surface methodology approach for optimization of the removal of chromium(VI) by NH2-MCM-41

2014 ◽  
Vol 45 (3) ◽  
pp. 860-868 ◽  
Author(s):  
Julin Cao ◽  
Yunhai Wu ◽  
Yanping Jin ◽  
Palizhati Yilihan ◽  
Wenfu Huang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Chromium Vi ◽  
Mcm 41

Optimization of medium composition for lipase production by Candida rugosa NCIM 3462 using response surface methodology

2007 ◽  
Vol 53 (5) ◽  
pp. 643-655 ◽  
Author(s):  
Aravindan Rajendran ◽  
Viruthagiri Thangavelu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Cell Mass ◽  
Candida Rugosa ◽  
Lipase Production ◽  
Sequential Optimization ◽  
Optimization Approach ◽  
Statistical Design Of Experiments ◽  
Groundnut Oil ◽  
Medium Components

A sequential optimization approach using statistical design of experiments was employed to enhance the lipase production by Candida rugosa in submerged batch fermentation. Twelve medium components were evaluated initially using the Plackett–Burman 2-level factorial design. The significant variables affecting lipase production were found to be glucose, olive oil, peptone, (NH4)2SO4, and FeCl3·6H2O. Various vegetable oils were tested in the second step, and among them, groundnut oil was found to be the best inducer for lipase production by C. rugosa. The third step was to identify the optimal values of the significant medium components with groundnut oil as the inducer using response surface methodology. The regression equation obtained from the experimental data designed using a central composite design was solved, and analyzing the response surface contour plots, the optimal concentrations of the significant variables were determined. A maximum lipase activity of 5.95 U·mL–1, which is 1.64 times the maximum activity obtained in the Plackett–Burman experimental trials, was observed. The optimum combination of medium constituents contained 19.604 g·L–1 glucose, 13.065 mL·L–1 groundnut oil, 7.473 g·L–1 peptone, 0.962 g·L–1 (NH4)2SO4, 0.0019 g·L–1 FeCl3·6H2O, and other insignificant components at the fixed level. A predictive model of the combined effects of the independent variables using response surface methodology and an artificial neural network was proposed. The unstructured kinetic models, logistic model, and Luedeking–Piret model were used to describe cell mass and lipase production. The parameters of the models were evaluated and the lipase production by C. rugosa was found to be growth associated.

Optimizing adsorption of arsenic(III) by NH2-MCM-41 using response surface methodology

2014 ◽  
Vol 20 (5) ◽  
pp. 2792-2800 ◽  
Author(s):  
Yunhai Wu ◽  
Yanping Jin ◽  
Julin Cao ◽  
Palizhati Yilihan ◽  
Yajun Wen ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Mcm 41

scholarly journals The Combined Effect of Alcohols and Calophyllum inophyllum Biodiesel Using Response Surface Methodology Optimization

2021 ◽  
Vol 13 (13) ◽  
pp. 7345
Author(s):  
Mohammed Aneeque ◽  
Saad Alshahrani ◽  
Mohammed Kareemullah ◽  
Asif Afzal ◽  
Ahamed Saleel C. ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Thermal Efficiency ◽  
Engine Performance ◽  
Optimization Approach ◽  
Calophyllum Inophyllum ◽  
Emission Profile ◽  
Rsm Optimization ◽  
Biodiesel Blend ◽  
The Impact

In this experimental study, the performance of the diesel engine was analyzed for biodiesel derived from Calophyllum inophyllum. The impact of the addition of additives such as N-octanol and N-butanol with Calophyllum inophyllum biodiesel has been assessed. Impact of the application of hybrid N-octanol and N-Butanol with biodiesel on emission profile used for the engine performance has also been demonstrated. Response surface analysis of alcohol additives-biodiesel blend was performed separately in this study for the engine efficiency and emission profile. A combination of N-octanol and N-Butanol presented the highest brake thermal efficiency (BTE) and lowest carbon monoxide (CO) emission among the ternary blends of octanol. N-Butanol-biodiesel blend presented the lowest hydrocarbon (HC) emission among the blends of N-butanol. N-Octanol with 5 and 10% addition with biodiesel showed the lowest HC emissions among the blends of octanol. The response surface methodology (RSM) optimization revealed that the optimized thermal efficiency and emission were obtained at full load and minimum load, respectively. The addition of N-octanol hindered the emission at all loads, while N-butanol reduced it at higher loads. A strong correlation between the load and alcohol additives on the engine performance and emission profile has been obtained using the RSM optimization approach. The R-squared value obtained from the RSM was 0.92 and emission profile has been characterized.

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