scholarly journals Optimization to Hydrothermal Liquefaction of Low Lipid Content Microalgae Spirulina sp. Using Response Surface Methodology

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Xuan Wei ◽  
Dengfei Jie
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Lipid Content ◽  
Oil Production ◽  
Hydrothermal Liquefaction ◽  
Holding Time ◽  
Optimum Conditions ◽  
Bio Oil ◽  
Contour Plots ◽  
Central Composite

The production and nature of the biocrude obtained from Spirulina sp. by hydrothermal liquefaction (HTL) technology is focused in this investigation. Our aim is to evaluate the interaction of different factors on the bio-oil production through HTL using microalgae that contains relatively low lipid content and high protein. Optimization of three key parameters—concentration (mass of algae per mass of solvent), reaction temperature, and holding time—was carried out by response surface methodology (RSM). In this work, we used central composite design to conduct the experiment process. Graphical response surface and contour plots were used to locate the optimum point. The final results showed that the optimum concentration, temperature, and holding time were 10.5%, 357°C, and 37 min, respectively. Under the optimum conditions established, yield of the biocrude (41.6 ± 2.2%) was experimentally obtained using the fresh microalgae. This study showed the potential of bio-oil production of Spirulina sp. by HTL technology, but it still needs more improvement of the biocrude for utilization.

scholarly journals Optimasi Konsentrasi Etanol Dan Perbandingan Bahan Dengan Etanol Terhadap Aktivitas Antioksidan Ekstrak Daun Beluntas (Pluchea Indica Less) Menggunakan Response Surface Methodology (RSM)

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
I Gusti Ngurah Bagus Pranantha Bistara K ◽  
I Ketut Suter ◽  
Gusti Ayu Kadek Diah Puspawati
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Dry Weight ◽  
Total Flavonoid Content ◽  
Optimum Conditions ◽  
Flavonoid Content ◽  
Tannin Content ◽  
Two Factors ◽  
Central Composite

The research was conducted to obtain the optimum of ethanol concentration and comparison of material with ethanol to produced beluntas leaves extract that had the highest antioxidant activiy. Response Surface Methodology (RSM) was used for optimization of extraction conditions with experimental design was a Central Composite Design (CCD) in two factors, namely ethanol concentration and comparison of material with ethanol. The results showed that the optimum conditions of beluntas leaves extraction were at ethanol concentration 62.71% and the comparison of material with ethanol 1:10.14. In this condition, the highest antioxidant activity was obtained at 65.80% with IC50, extract yield, total flavonoid content, and total tannin content were 3.87 ppm, 18.20% dry weight extract, 47.05 mg QE/g dry weight extract, and 9.11 mg TAE/g dry weight extract, respectively.

Protein and Sugar Extraction from Rice Bran and De-Oiled Rice Bran using Subcritical Water in a Semi-Continuous Reactor: Optimization by Response Surface Methodology

2012 ◽  
Vol 8 (3) ◽  
Author(s):  
Sasithorn Sunphorka ◽  
Warinthorn Chavasiri ◽  
Yoshito Oshima ◽  
Somkiat Ngamprasertsith
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Rice Bran ◽  
Subcritical Water ◽  
Extraction Process ◽  
Continuous Reactor ◽  
Optimum Conditions ◽  
Reactor Optimization ◽  
Contour Plots ◽  
Main Factors

Abstract The extraction of protein and sugar from rice bran and de-oiled rice bran using subcritical water was evaluated in a 30-ml semi-continuous reactor. The effects of the three main factors, operating temperature, time and pressure, on the total sugar and protein yields obtained were investigated using analysis of variance and response surface methodology. A central composite design was performed in order to determine the most likely optimum conditions for the extraction process for both substrates individually and together. The developed models had a very high regression coefficient (R2) value (0.94 – 0.98), and demonstrated that the three main factors investigated had a significant effect on the sugar yield, whilst only time and its interaction with temperature were significant factors controlling the extracted protein yield. Based on the response surface and contour plots, the optimum conditions were evaluated for maximal extracted sugar and protein yields, which reached 100% for protein, from the two materials.

scholarly journals Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Meschack Mukunga Muanda ◽  
Pele Pascal Daniel Omalanga
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ph Value ◽  
Sulfate Solution ◽  
Magnesium Carbonate ◽  
Manganese Carbonate ◽  
Carbonate Precipitation ◽  
Optimum Conditions ◽  
Solution Ph ◽  
Central Composite

A sulfate solution containing 1773.965 mg/L Mn2+, 3216.178 mg/L Mg2+ and 566.254 mg/L Ca2+ was used to perform the maximum recovery of manganese and minimum recovery of magnesium. Carbonate precipitation was used due to the better selectivity for manganese over magnesium and other impurities recovery compared to hydroxide precipitation. Four factors were studied: solution pH value, contact time, reaction temperature and sodium carbonate consumption. Analysis of variance (ANOVA) and response surface methodology (RSM) were used to determine the optimum. Under the optimum conditions, the manganese and magnesium recoveries were the highest and the lowest respectively, while the pH, the time, the temperature and the volume of Na2CO3 were the lowest.  The values of the four factors were found as followed: 8.9293, 60.69 min, 77.95°F, and 50.7650 mL respectively. Moreover, the recoveries of manganese and magnesium were 99.9799% and 4.3045% respectively. The results show that optimization using RSM is effective in improving carbonate precipitation of manganese.

Optimisation of biomass catalytic depolymerisation conditions by using response surface methodology

2019 ◽  
Vol 38 (3) ◽  
pp. 322-331
Author(s):  
Mehmet Ünsal ◽  
Işıl Işık-Gülsaç ◽  
Ersin Üresin ◽  
Mustafa Salih Budak ◽  
Kader Özgür-Büyüksakallı ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Energy Consumption ◽  
Reaction Time ◽  
Response Surface ◽  
Product Yield ◽  
Operating Conditions ◽  
Optimum Conditions ◽  
Specific Product ◽  
Bio Oil ◽  
Specific Product Yield

The aim of this study is to present the optimum operating conditions for reducing energy consumption in the process of obtaining bio-oil from the mixture of sawdust, waste lubricating oil, lime, and commercial catalyst. In the study where the catalytic pressureless depolymerisation (also called Katalytische Drucklose Verölung – KDV) was applied, the operating conditions were analysed with response surface methodology. According to the analysis of variance results, a mathematical model was obtained for specific product yield (bio-oil amount/energy consumption g kWe−1). Effects of temperature (260°C–290°C), catalyst rate (1–2 wt.%) and reaction time (0.5–1 h) were investigated. The optimum conditions for the three independent variables (temperature, catalyst rate, reaction time) were 279 ± 2°C, 2 wt.% and 0.5 h, respectively. Maximum specific product yield was obtained as 970.17 g kWe−1. While the reaction time was the most effective regarding the amount of bio-oil obtained at 1 kWe energy consumption, the temperature was found to be the least effective. In addition to these, bio-oil obtained under optimum conditions were characterised and compared with standard diesel specifications.

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