scholarly journals Application of Response Surface Methodology to Optimize Alkali Concentration, Corn Stover Particle Size, and Extruder Parameters for Maximum Sugar Recovery

10.5772/16459 ◽  
2011 ◽  
Author(s):  
Chinnadurai Karunanithy ◽  
Kasiviswanathan Muthukumarapp
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Corn Stover ◽  
Alkali Concentration ◽  
Sugar Recovery

scholarly journals OPTIMIZATION OF REFLUX EXTRACTION FOR CAESALPINIA SAPPAN LINN. WOOD BY USING RESPONSE SURFACE METHODOLOGY

2020 ◽  
Vol 83 (1) ◽  
pp. 85-92
Author(s):  
Mohd Azahar Mohd Ariff ◽  
Muhammad Syafiq Abd Jalil ◽  
Noor ‘Aina Abdul Razak ◽  
Jefri Jaapar
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Drinking Water ◽  
Response Surface ◽  
Extraction Time ◽  
Percentage Error ◽  
Optimum Conditions ◽  
Caesalpinia Sappan ◽  
The Mean ◽  
Repeated Runs

Caesalpinia sappan linn. (CSL) is a plant which is also known as Sepang tree contains various medicinal values such as to treat diarrhea, skin rashes, syphilis, jaundice, drinking water for blood purifying, diabetes, and to improve skin complexion. The aim of this study is to obtain the most optimum condition in terms of the ratio of sample to solvent, particle size, and extraction time to get the highest amount of concentration of the CSL extract. In this study, the ranges of each parameters used were: ratio sample to solvent: 1.0:20, 1.5:20, 2.0:20, 2.5:20, 3.0:20, particle size: 1 mm, 500 um, 250 um, 125 um, 63 um, and extraction time: 1 hr, 2 hr, 3 hr, 4 hr, 5 hr. The concentration was analyzed using a UV-vis spectrophotometer. The optimum conditions were obtained by response surface methodology. From the design, 20 samples were run throughout this experiment. The optimized value from the RSM were 2.0:20 for ratio sample to solvent, 125 µm of particle size and 2.48 hours with the concentration of 37.1184 ppm. The accuracy of the predictive model was validated with 2 repeated runs and the mean percentage error was less than 3%. This confirmed the model’s capability for optimizing the conditions for the reflux extraction of CSL’s wood.

Enhanced Alkali Pretreatment of Narrow Leaves Cattail by Response Surface Methodology

2014 ◽  
Vol 875-877 ◽  
pp. 1637-1641
Author(s):  
Arrisa Sopajarn ◽  
Chayanoot Sangwichien
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Residence Time ◽  
Preliminary Test ◽  
Polynomial Equation ◽  
Alkali Concentration ◽  
Pretreatment Condition ◽  
Order Polynomial ◽  
Optimized Conditions ◽  
Central Composite

The purpose of this work is to develop a pretreatment process of lingo-cellulosic ethanol production from narrow leaves cattail (Typha angustifolia) by using alkali catalysis with the response surface methodology (RSM) as a central composite design (CCD). The first step, LiOH, NaOH, and KOH were used as catalytic alkali for preliminary test. Second, the suitable alkali from first step was selected to optimize of pretreatment condition of three independent variables (alkali concentration, temperature, and residence time) that varies at CCD five codes (-2, -1, 0, 1, 2). Sodium hydroxide (NaOH) is the proper alkali because it could increase cellulose more than KOH and nearby LiOH while it is cheapest. RSM result shows the optimized pretreatment condition based on cellulose increased which obtained from this study that is NaOH 5 % w/v at 100 °C and residence time for 120 min. Beside, this condition was analyzed using an ANOVA with a second order polynomial equation after eliminated non-significant terms. At the optimized conditions, cellulose increased, hemicellulose decreased and weight recovery were achieved 77.81%, 80.59, and 41.65%, respectively. Moreover, the model was reasonable to predict the response of strength with less than 5% error.

scholarly journals A study of in situ fluid bed melt granulation using response surface methodology / Uporaba metodologije odgovornih površin za študij in situ granulacije s talinami v zvrtinčenih plasteh

2012 ◽  
Vol 62 (4) ◽  
pp. 497-513 ◽  
Author(s):  
Simon Kukec ◽  
Franc Vrečer ◽  
Rok Dreu
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Air Temperature ◽  
Binder Content ◽  
Drug Dissolution ◽  
Optimal Process ◽  
Fluid Bed ◽  
Melt Granulation

The objective of this work was to investigate the influence of selected individual variables (binder content, inlet air temperature, and product endpoint temperature) of in situ fluid bed melt granulation on the granule particle size distribution and percentage of dissolved carvedilol using a three-factor, five-level circumscribed central composite design. Increased binder content had the effect of increasing the granule particle size and drug dissolution rate. The effect of inlet air temperature and product endpoint temperature was found to be more pronounced in case of granule particle size parameters. Within the studied intervals, the optimal quantity of binder as well as optimal process parameters were identified and validated using response surface methodology. Utilizing these optimal process and formulation parameters, successful scaling up of the fluid bed melt granulation process was carried out. Granule characteristics obtained at pilot scale are comparable to those obtained at laboratory scale.

Adsorption characteristics of ammonium exchange by zeolite and the optimal application in the tertiary treatment of coking wastewater using response surface methodology

2013 ◽  
Vol 67 (3) ◽  
pp. 619-627 ◽  
Author(s):  
Cui Zhao ◽  
Zhongyuan Zheng ◽  
Jing Zhang ◽  
Donghui Wen ◽  
Xiaoyan Tang
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Rate ◽  
Batch Reactor ◽  
Initial Dosage ◽  
Coking Wastewater ◽  
Scanning Electron Micrographs ◽  
Tertiary Treatment ◽  
Ammonium Removal

Natural zeolite is a favorable NH4+-ion exchanger in the tertiary wastewater treatment. In this study, a natural Chinese zeolite was anatomized using the mercury injection method, X-ray diffraction, and scanning electron micrographs. The kinetic process of ammonium adsorption onto the zeolite was best described by the pseudo second order model; the adsorption equilibrium data fitted better to the Freundlich isotherm; and the exchange between ammonium and alkali/alkaline earth cations was in the order of Na+ > Ca2+ > K+ > Mg2+. Finally, the zeolite powder was applied for the tertiary treatment of coking wastewater, which still contained high concentration of ammonium after the secondary treatment by a sequencing batch reactor. The Box–Behnken design was used to design the experimental protocol, and the response surface methodology (RSM) was used for the optimization of adsorption factors. The RSM analysis showed the optimal adsorption factors as particle size, 0.03 mm; initial dosage of zeolite powder, 50.0 g/L; and contact time, 24 h. The highest ammonium removal rate was 75.0% predicted by the RMS. Considering settleability of the zeolite powder, the particle size of 0.25 mm was recommended in practice with a little loss of the ammonium removal: 70.9% as the RMS predicted.

scholarly journals Modeling of Sulfite Concentration, Particle Size, and Reaction Time in Lignosulfonate Production from Barley Straw Using Response Surface Methodology and Artificial Neural Network

BioResources ◽  
2016 ◽  
Vol 11 (4) ◽  
Author(s):  
Maria Guadalupe Serna-Diaz ◽  
Ainhoa Arana-Cuenca ◽  
Joselito Medina-Marin ◽  
Juan Carlos Seck-Tuoh-Mora ◽  
Yuridia Mercado-Flores ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Particle Size ◽  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Barley Straw ◽  
Artificial Neural

scholarly journals MODELLING AND OPTIMIZING THE APPLICATION OF WASTE TYRE POWDER (WTP) AS OIL SORBENT, USING RESPONSE SURFACE METHODOLOGY (RSM)

2020 ◽  
Vol 1 (2) ◽  
pp. 1-12
Author(s):  
A. O. Odeh ◽  
L. A. Okpaire
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Sorption Capacity ◽  
Automobile Industry ◽  
Contact Time ◽  
Quadratic Model ◽  
Oil Sorption ◽  
Oil Sorbent ◽  
Waste Tyre

The rapid growth of the automobile industry has led to the abundance and indiscriminate disposal of waste tyres which causes environmental pollution and also lead to serious health problems. The absorption of crude oil using waste tyre powder (WTP) was investigated. A three variable Box-Behnken design was used to study the effect of particle size, contact time and temperature on the oil sorption capacity of WTP. Optimization was carried out using Response Surface Methodology (RSM). A quadratic model was obtained to predict the oil sorption capacity of WTP as a function of particle size, contact time and temperature. The optimum conditions of the sorption process obtained from RSM gave a temperature of 30.19oC, contact time 59.04 mins and particle size 0.15mm. A maximum oil sorption capacity of 4.71 g/g was obtained at these optimized conditions. Also, a comparison between the oil sorption efficiency of fresh tyre powder and regenerated tyre powder subjected to the same conditions of particle size, contact time and temperature were carried out. It was shown that the oil sorption capacity of the fresh tyre powder was higher than that of regenerated tyre powder.

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