Exploiting response surface methodology (RSM) as a novel approach for the optimization of carbon dioxide adsorption by dry sodium hydroxide

2018 ◽  
Vol 65 (12) ◽  
pp. 1465-1475 ◽  
Author(s):  
Mahsa Saeidi ◽  
Ahad Ghaemi ◽  
Kambiz Tahvildari ◽  
Pirouz Derakhshi
Keyword(s):  
Carbon Dioxide ◽  
Response Surface Methodology ◽  
Sodium Hydroxide ◽  
Response Surface ◽  
Carbon Dioxide Adsorption ◽  
Novel Approach

scholarly journals Process Optimization of Carbon Dioxide Adsorption using Nitrogen-Functionalized Graphene Oxide via Response Surface Methodology Approach

2018 ◽  
Vol 17 (2) ◽  
pp. 106
Author(s):  
Fritzie Hannah B. Baldovino ◽  
Nathaniel P. Dugos ◽  
Susan A. Roces ◽  
Armando T. Quitain ◽  
Tetsuya Kida
Keyword(s):  
Carbon Dioxide ◽  
Response Surface Methodology ◽  
Graphene Oxide ◽  
Response Surface ◽  
Model Equation ◽  
Functionalized Graphene ◽  
Carbon Dioxide Adsorption ◽  
Functionalized Graphene Oxide ◽  
Best Response ◽  
Factor Combination

This paper presents a response surface methodology approach in the optimizationof the carbon dioxide temperature-programmed adsorption process using a new materialreferred as nitrogen-functionalized graphene oxide. This material was synthesized byloading nitrogen groups to graphene oxide using aqueous ammonia in supercriticalcondition. Later on, it was utilized as a sorbent for carbon dioxide adsorption. This process was optimized by implementing a response surface methodology coupled with a Box- Behnken design for the effects of three factors: adsorption temperature, carbon dioxide flow rate, and the amount of adsorbent. In analyzing the response surface, a model equation was generated based on the experimental data by regression analysis. This model equation was then utilized to predict optimum values of response. Furthermore, response optimizer was also conducted in identifying factor combination settings that jointly optimize the best response.

scholarly journals Exploiting Response Surface Methodology (RSM) as a Novel Approach for the Optimization of Phenolic and Antioxidant Activity of Date Palm Fruit

2020 ◽  
Vol 14 (4) ◽  
pp. 572-582
Author(s):  
Soumaya Hachani ◽  
◽  
Sarah Boukhalkhal ◽  
Ziyad Ben Ahmed ◽  
Mohamed Harrat ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Antioxidant Activities ◽  
Palm Fruit ◽  
Ultrasound Extraction ◽  
Solid Ratio ◽  
Methanolic Extracts ◽  
Novel Approach ◽  
Dpph Scavenging

The Box-Behnken design was used to investigate the effect of three independent variables – time, temperature and solvent-to-solid ratio on the responses of total phenolics, total flavonoids, 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging activity and cupric ion reducing antioxidant capacity (CUPRAC) of date fruit methanolic extracts. Response surface analysis showed that the optimal ultrasound extraction parameters that maximized the responses were 30 min, 298 K and 74.4 ml/g. Under optimum conditions, UHPLC-DAD-MS/MS was used to tentatively characterize 11 phenolic compounds. The experimental values for the quantification of phenolic compounds and antioxidant activities are in accordance with the predicted values, indicating the suitability of the model and the success of response surface methodology in optimizing the ultrasound extraction conditions.

Manufacturing Task Process Characterization Utilizing Response Surface Methodology

2012 ◽  
Vol 3 (2) ◽  
pp. 62-77
Author(s):  
Janet H. Sanders ◽  
Silvanus J. Udoka
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Development ◽  
High Strength ◽  
Business Culture ◽  
Process Characterization ◽  
Novel Approach ◽  
High Strength Fiber ◽  
Rapid Deployment ◽  
Operating Window

To meet today’s business culture of rapid deployment of new products and processes, engineering and manufacturing personnel must utilize efficient means for process development. This paper discusses a novel approach to characterize a task driven manufacturing process. The approach utilized Response Surface Methodology (RSM) to investigate, identify, and prioritize the key process drivers and subsequently develop quantifiable methods for setting the operating levels for the process drivers to determine if the current levels of these key process drivers result in a process response value that is near optimum. The approach identifies the improved response region, generates a mathematical model of the process and specifies an operating window that would yield consistent results for each of the process drivers. A High Strength Fiber Splicing process was used to demonstrate this approach. This study led to the identification of the region that improved the process yield from 65% to 85%.

scholarly journals Optimization of alkali pretreatment of wheat straw to be used as substrate for biofuels production  

2013 ◽  
Vol 59 (No. 12) ◽  
pp. 537-542 ◽  
Author(s):  
K. Jaisamut ◽  
L. Paulová ◽  
P. Patáková ◽  
M. Rychtera ◽  
K. Melzoch
Keyword(s):  
Response Surface Methodology ◽  
Enzymatic Hydrolysis ◽  
Sodium Hydroxide ◽  
Wheat Straw ◽  
Response Surface ◽  
Fermentable Sugars ◽  
Alkali Pretreatment ◽  
The Media ◽  
Pretreatment Conditions ◽  
Expert Designer

Alkali pretreatment of wheat straw was optimized by response surface methodology to maximize yields of fermentable sugars in subsequent enzymatic hydrolysis and to remove maximum lignin in order to improve rheological attributes of the media. The effects of pretreatment conditions on biomass properties were studied using the Expert Designer software. Concentration of sodium hydroxide and temperature were the factors most affecting pretreatment efficiency. At the optimum (80°C, 39 min, 0.18 g NaOH and 0.06 g lime per g of raw biomass), 93.1 ± 1.0% conversion of cellulose to glucose after enzymatic hydrolysis and 80.3 ± 1.2% yield of monosaccharides (glucose plus xylose and arabinose) from cellulose and hemicellulose of wheat straw were achieved.

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