scholarly journals Reactive Extraction of Malic Acid using Trioctylamine in 1–Decanol: Equilibrium Studies by Response Surface Methodology Using Box Behnken Optimization Technique

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Victoria Inyang ◽  
David Lokhat
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Malic Acid ◽  
Optimization Technique ◽  
Reactive Extraction ◽  
Equilibrium Studies

scholarly journals Reactive extraction of propionic acid using trioctylamine in 1–decanol by response surface methodology optimization technique

2020 ◽  
Vol 15 (2) ◽  
pp. 171-179 ◽  
Author(s):  
Victoria M Inyang ◽  
David Lokhat
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Propionic Acid ◽  
Acid Concentration ◽  
Optimization Technique ◽  
Statistical Design ◽  
Reactive Extraction ◽  
Acid Extraction ◽  
Process Variables ◽  
Optimum Conditions

Abstract Reactive extraction, a novel technique, was experimentally investigated for the removal of propionic acid, which is usually present in low concentrations in aqueous solutions. The experiments were conducted according to statistical design to develop an appropriate regression model. This was aimed at analyzing and optimizing the process variables and extraction efficiency for propionic acid reactive extraction from dilute aqueous streams using trioctylamine as extractant and 1-decanol as organic diluent. Response surface methodology in combination with Box–Behnken design involving 17 experimental runs was utilized for the propionic acid reactive extraction in this study. Three independent process variables were chosen as temperature (T), initial propionic acid concentration (CPAO) in the aqueous phase and trioctylamine composition (CTOA) in the organic phase. The statistical design analysis demonstrated that the propionic acid concentration and TOA composition had a significant effect while temperature had an insignificant effect on the response value as well as an interactive and quadratic effect on the response. The optimum conditions for propionic acid extraction were established as T  =  300.752 K, CTOA  =  18.252 %v/v, CPAO  =  0.408 kmol/m3. Under these optimum conditions, the propionic acid experimental extraction yield was 89.788 %, which was in close conformity with the predicted yield value of 91.939 %.

scholarly journals Optimization of enzymes addition to improve whole wheat bread making quality by response surface methodology and optimization technique

2019 ◽  
Vol 56 (3) ◽  
pp. 1454-1461 ◽  
Author(s):  
Koki Matsushita ◽  
Ayaka Terayama ◽  
Daisuke Goshima ◽  
Dennis Marvin Santiago ◽  
Takao Myoda ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Optimization Technique ◽  
Wheat Bread ◽  
Bread Making ◽  
Whole Wheat ◽  
Whole Wheat Bread

Optimization of reactive extraction of castor seed to produce biodiesel using response surface methodology

Fuel ◽  
2012 ◽  
Vol 97 ◽  
pp. 848-855 ◽  
Author(s):  
Subhalaxmi Pradhan ◽  
C.S. Madankar ◽  
Pravakar Mohanty ◽  
S.N. Naik
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Reactive Extraction ◽  
Castor Seed

scholarly journals Parametric optimization of rice bran oil extraction using response surface methodology

2016 ◽  
Vol 18 (3) ◽  
pp. 103-109 ◽  
Author(s):  
Syed W. Ahmad ◽  
Farhan Javed ◽  
Sajjad Ahmad ◽  
Muhammad Akram ◽  
Abdur Rehman
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Rice Bran ◽  
Contact Time ◽  
Parametric Optimization ◽  
Rice Bran Oil ◽  
Optimization Technique ◽  
Oil Extraction ◽  
Experimental Results ◽  
Stirring Rate

Abstract Use of bran oil in various edible and nonedible industries is very common. In this research work, efficient and optimized methodology for the recovery of rice bran oil has been investigated. The present statistical study includes parametric optimization, based on experimental results of rice bran oil extraction. In this study, three solvents, acetone, ethanol and solvent mixture (SM) [acetone: ethanol (1:1 v/v)] were employed in extraction investigations. Response surface methodology (RSM), an optimization technique, was exploited for this purpose. A five level central composite design (CCD) consisting four operating parameter, like temperature, stirring rate, solvent-bran ratio and contact time were examined to optimize rice bran oil extraction. Experimental results showed that oil recovery can be enhanced from 71% to 82% when temperature, solvent-bran ratio, stirring rate and contact time were kept at 55°C, 6:1, 180 rpm and 45 minutes, respectively while fixing the pH of the mixture at 7.1.

scholarly journals Response Surface Methodology Routed Optimization of Performance of Hydroxy Gas Enriched Diesel Fuel in Compression Ignition Engines

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1355
Author(s):  
Muhammad Usman ◽  
Saifuddin Nomanbhay ◽  
Mei Yin Ong ◽  
Muhammad Wajid Saleem ◽  
Muneeb Irshad ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Optimization Technique ◽  
Exhaust Emission ◽  
Compression Ignition ◽  
Engine Load ◽  
Rsm Optimization ◽  
Ci Engine ◽  
The Impact

In this study, the response surface methodology (RSM) optimization technique was employed for investigating the impact of hydroxy gas (HHO) enriched diesel on performance, acoustics, smoke and exhaust gas emissions of the compression ignition (CI) engine. The engine was operated within the HHO flow rate range of 0–10 L/min and engine loads of 15%, 30%, 45%, 60% and 75%. The results disclosed that HHO concentration and engine load had a substantial influence on the response variables. Analysis of variance (ANOVA) results of developed quadratic models indicated the appropriate fit for all models. Moreover, the optimization of the user-defined historical design of an experiment identified an optimum HHO flow rate of 8 L/min and 41% engine load, with composite desirability of 0.733. The responses corresponding to optimal study factors were 25.44%, 0.315 kg/kWh, 117.73 ppm, 140.87 ppm, 99.37 dB, and 1.97% for brake thermal efficiency (BTE), brake specific fuel consumption (BSFC), CO, HC, noise, and smoke, respectively. The absolute percentage errors (APEs) of RSM were predicted and experimental results were below 5%, which vouched for the reliable use of RSM for the prediction and optimization of acoustics and smoke and exhaust emission characteristics along with the performance of a CI engine.

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