Response surface methodology for the optimization of biofuel production at a low molar ratio of supercritical methanol to used palm olein oil

2016 ◽  
Vol 11 (4) ◽  
pp. 539-548 ◽  
Author(s):  
Winatta Sakdasri ◽  
Ruengwit Sawangkeaw ◽  
Somkiat Ngamprasertsith
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Palm Olein ◽  
Biofuel Production ◽  
Molar Ratio ◽  
Supercritical Methanol ◽  
Olein Oil

scholarly journals Optimization of Lipase Catalyzed Biofuel Synthesis From Waste Filter Coffee Using Response Surface Methodology

2021 ◽  
Author(s):  
TOGAYHAN KUTLUK
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Reaction Temperature ◽  
Experimental Studies ◽  
Acid Methyl Ester ◽  
Environmentally Friendly ◽  
Biodiesel Production ◽  
Biofuel Production ◽  
Molar Ratio ◽  
Enzyme Content

Abstract This study was executed that optimize an environmentally friendly lipase (Resinase® HT with the activity of 135,56 U/ml) catalyzed transesterification process from novel feedstock waste filter coffee oil for biofuel production. Response surface methodology (RSM) with the central composite design was performed to investigate the effect of experimental factors (enzyme content, oil/methanol molar ratio, reaction temperature) on the fatty acid methyl ester (FAME) conversion and also investigated to resolve the optimum design points. After the experimental studies the lowest FAME conversion was found as 71% when the enzyme content was 15%(%gr w/w), oil/methanol molar ratio was 0.17 and the reaction temperature value was 45 °C. According to the design response, 70.83% was observed in the same conditions. The highest FAME conversion of 97% was found when the enzyme content was 5%(%gr w/w), oil/methanol molar ratio was 0.25 and the reaction temperature value was 35 °C. The experimental run gave the FAME conversion of 96.80% at the same reaction conditions. The model fitted with the experimental values with R2 = 0.98. Also, classical soxhlet extraction and Dyer method oil yields were compared. 24 % and 20 % oil removed from waste coffee grounds in traditional soxhlet and Dyer method respectively. The extraction process took 30 minutes with the soxhlet method and 45 minutes with the Dyer method. The results are promising for the application of lipase catalyst for environmentally friendly and sustainable biodiesel production from waste coffee oils all over the world.

scholarly journals Optimization of palm oil biodiesel production using response surface methodology

2021 ◽  
Vol 56 (2) ◽  
pp. 274-285
Author(s):  
Flávio Castro da Silva ◽  
Juan Fernando Herrera Guardiola ◽  
Luciana Pinto Teixeira ◽  
Ana Caroline Lopes Maria ◽  
Luan Alves de Souza ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Palm Oil ◽  
Biodiesel Production ◽  
Biofuel Production ◽  
Molar Ratio ◽  
Reaction Yield ◽  
Molar Ratios ◽  
European Standards ◽  
Palm Oil Biodiesel

The purpose of this paper was to analyze palm oil biodiesel production under different conditions and to verify the relationships between production variables in order to optimize biofuel production using response surface methodology (RSM). Biodiesel was produced through transesterification process by methyl route and alkali catalyst (NaOH) 1% (m/m). The analyzed variables were: four molar ratios (3:1, 4:1, 6:1 and 8:1); three temperature reactions (45°, 52° and 60°C); and three time reactions (40, 60 and 80 minutes). For the palm oil biodiesel production, the highest yield was 93%, obtained via a molar rate of 3:1, 52°C and 60 minutes. This result differs from previous studies that found a higher yield with molar ratio increases, implying greater expenses of methanol. Kinetic viscosity and specific mass were also analyzed, and the values are within the Brazilian, American, and European standards. The results showed that the most influent factor in biodiesel production was the molar rate. In relation to the biodiesel characterization, using the RMN H1 technique, it was possible to obtain the transesterification reaction yield of 79.50% for the 3:1 palm oil biodiesel. Through gas chromatography, it can be verified that the predominant fatty acids in the samples were palmitic and oleic acids.

Optimization of biodiesel synthesis under simultaneous ultrasound-microwave irradiation using response surface methodology (RSM)

2015 ◽  
Vol 4 (4) ◽  
Author(s):  
Seyed Mohammad Safieddin Ardebili ◽  
Teymor Tavakoli Hashjin ◽  
Barat Ghobadian ◽  
Gholamhasan Najafi ◽  
Stefano Mantegna ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Microwave Irradiation ◽  
Response Surface ◽  
Palm Oil ◽  
Catalyst Concentration ◽  
Irradiation Time ◽  
Operating Conditions ◽  
Molar Ratio ◽  
Reaction Conditions ◽  
Biodiesel Synthesis

AbstractThis work investigates the effect of simultaneous ultrasound-microwave irradiation on palm oil transesterification and uncovers optimal operating conditions. Response surface methodology (RSM) has been used to analyze the influence of reaction conditions, including methanol/palm oil molar ratio, catalyst concentration, reaction temperature and irradiation time on biodiesel yield. RSM analyses indicate 136 s and 129 s as the optimal sonication and microwave irradiation times, respectively. Optimized parameters for full conversion (97.53%) are 1.09% catalyst concentration and a 7:3.1 methanol/oil molar ratio at 58.4°C. Simultaneous ultrasound-microwave irradiation dramatically accelerates the palm oil transesterification reaction. Pure biodiesel was obtained after only 2.2 min while the conventional method requires about 1 h.

Comparison of different modeling methods toward predictive capability evaluation of the bonding strength of wood laminated products

2021 ◽  
pp. 095440892110530
Author(s):  
Morteza Nazerian ◽  
Seyed Ali Razavi ◽  
Ali Partovinia ◽  
Elham Vatankhah ◽  
Zahra Razmpour
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Bonding Strength ◽  
Fuzzy Inference ◽  
Molar Ratio ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Artificial Neural

The main aim of this study is usability evaluation of different approaches, including response surface methodoloy, adaptive neuro-fuzzy inference system, and artificial neural network models to predict and evaluate the bonding strength of glued laminated timber (glulam) manufactured using walnut wood layers and a natural adhesive (oxidized starch adhesive), with respect to this fact that using the modified starch can decrease the formaldehyde emission. In this survey, four variables taken as the input data include the molar ratio of formaldehyde to urea (1.12–1.52), nanocellulose content (0%–4%, based on the dry weight of the adhesive), the mass ratio of the oxidized starch adhesive to the urea formaldehyde resin (30:70–70:30), and the press time (4–8 min). In order to find the best predictive performance of each selected evaluation approach, different membership functions were used. The optimal results were obtained when the molar ratio, nanocellulose content, mass ratio of the oxidised starch, and press time were set at 1.22, 3%, 70:30, and 7 min, respectively. Based on the performance criteria including root mean square error (RMSE) and mean absolute percentage error (MAPE) obtained from the modeling of response surface methodology, adaptive neuro-fuzzy inference network, and artificial neural network, it became evident that response surface methodology could offer a better prediction of the response with the lowest level of errors. Beside, artificial neural network and adaptive neuro-fuzzy inference system support the response surface methodology approach to evaluate bonding strength response with high precision as well as to determine the optimal point in fabrication of laminated products.

scholarly journals Optimization of Enzymatic Synthesis of Betulinic Acid Amide in Organic Solvent by Response Surface Methodology (RSM)

2019 ◽  
Vol 19 (4) ◽  
pp. 849
Author(s):  
Nurul Atikah Amin Yusof ◽  
Nursyamsyila Mat Hadzir ◽  
Siti Efliza Ashari ◽  
Nor Suhaila Mohamad Hanapi ◽  
Rossuriati Dol Hamid
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Reaction Temperature ◽  
Betulinic Acid ◽  
Enzymatic Synthesis ◽  
Acid Amide ◽  
Molar Ratio ◽  
Percentage Yield ◽  
Substrate Molar Ratio

Optimization of the lipase catalyzed enzymatic synthesis of betulinic acid amide in the presence of immobilized lipase, Novozym 435 from Candida antartica as a biocatalyst was studied. Response surface methodology (RSM) and 5-level-4-factor central-composite rotatable design (CCRD) were employed to evaluate the effects of the synthesis parameters, such as reaction time (20–36 h), reaction temperature (37–45 °C), substrate molar ratio of betulinic acid to butylamine (1:1–1:3), and enzyme amounts (80–120 mg) on the percentage yield of betulinic acid amide by direct amidation reaction. The optimum conditions for synthesis were: reaction time of 28 h 33 min, reaction temperature of 42.92 °C, substrate molar ratio of 1:2.21, and enzyme amount of 97.77 mg. The percentage yield of actual experimental values obtained 65.09% which compared well with the maximum predicted value of 67.23%. The obtained amide was characterized by GC, GCMS and 13C NMR. Betulinic acid amide (BAA) showed a better cytotoxicity compared to betulinic acid as the concentration inhibited 50% of the cell growth (IC50) against MDA-MB-231 cell line (IC50 < 30 µg/mL).

Application of response surface methodology for optimization of growth and lipids in Scenedesmus abundans using batch culture system

RSC Advances ◽  
2014 ◽  
Vol 4 (42) ◽  
pp. 22129-22140 ◽  
Author(s):  
Chelladurai Chellamboli ◽  
Muthiah Perumalsamy
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Batch Culture ◽  
Culture System ◽  
Fossil Fuels ◽  
Biofuel Production ◽  
Alternative Source ◽  
System P

Owing to an increased demand for fuel and the depletion of fossil fuels, an alternative source such as algae is currently being exploited for biofuel production.

Response Surface Methodology Optimization and Kinetic Study of Ultrafiltration-Enhanced, SCER-catalyzed Hydrolysis of Lard

2019 ◽  
Vol 17 (8) ◽  
Author(s):  
Enmin Lv ◽  
Shaoxuan Ding ◽  
Jie Lu ◽  
Zhuang Li ◽  
Lixiong Du ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Membrane Separation ◽  
Molar Ratio ◽  
Transmembrane Pressure ◽  
Cleaning Efficiency ◽  
Membrane Cleaning ◽  
Exponential Factor ◽  
Hydrolysis Of

Abstract The integration process of polyethersulphone (PES) ultrafiltration with catalytic hydrolysis of lard was optimized by response surface methodology (RSM). The influences of molar ratio of water to lard, reaction time and transmembrane pressure on the fatty acids (FAs) yield were investigated. Results showed that the maximum FAs yield of 99.52 % was obtained under the optimized conditions of molar ratio of water to lard of 6.0:1.0, reaction time of 10.0 h and transmembrane pressure of 100.0 kPa. Moreover, the membrane cleaning efficiency was studied after four cleanings. Furthermore, the kinetic model of membrane separation process was investigated and the activation energy and pre-exponential factor were determined.

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