scholarly journals Preparation and Properties of CO2 Micro-Nanobubble Water Based on Response Surface Methodology

2021 ◽  
Vol 11 (24) ◽  
pp. 11638
Author(s):  
Bingbing Wang ◽  
Xiangjie Lu ◽  
Sha Tao ◽  
Yanzhao Ren ◽  
Wanlin Gao ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Storage Time ◽  
Co2 Enrichment ◽  
Dissolved Gas ◽  
Co2 Gas ◽  
Gas Source ◽  
Optimum Parameters ◽  
Carbon Dioxide Co2 ◽  
Release Method

Carbon dioxide (CO2) enrichment in an agricultural environment has been shown to enhance the efficiency of crop photosynthesis, increasing crop yield and product quality. There is a problem of the excessive use of CO2 gas when the CO2 is enriched for crops, such as soybean and other field crops. Given the application of micro-nanobubbles (MNBs) in agricultural production, this research takes CO2 as the gas source to prepare the micro-nanobubble water by the dissolved gas release method, and the response surface methodology is used to optimize the preparation process. The results show that the optimum parameters, which are the gas–liquid ratio, generator running time, and inlet water temperature for the preparation of CO2 micro-nanobubble water, are 2.87%, 28.47 min, and 25.52 °C, respectively. The CO2 content in the MNB water prepared under the optimum parameters is 7.64 mg/L, and the pH is 4.08. Furthermore, the particle size of the bubbles is mostly 255.5 nm. With the extension of the storage time, some of the bubbles polymerize and spill out, but there is still a certain amount of nanoscale bubbles during a certain period. This research provides a new idea for using MNB technology to increase the content and lifespan of CO2 in water, which will slow the release and increase the utilization of CO2 when using CO2 enrichment in agriculture.

Response Surface Methodology towards Optimization of Calotropis Procera Essential oil Extraction by using Supercritical CO2.

2019 ◽  
Vol 09 ◽  
Author(s):  
Hossein Zaeri ◽  
Bahareh Kamyab Moghadas ◽  
Bijan Honarvar ◽  
Ali Shokuhi Rad
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Response Surface ◽  
Extraction Time ◽  
Calotropis Procera ◽  
Retrieval Rate ◽  
The Family ◽  
Effects Of Temperature ◽  
Carbon Dioxide Co2 ◽  
Central Composite

: In this research, the extraction of essential oil from Calotropis Procera with the family name of Asclepiadaceae, by supercritical carbon dioxide (CO2) solvent has been investigated in detail, and the yield and chemical profile of the extracts achieved by this method were compared with those resulted by the conventional Hydro distillation method. To optimize the process parameters of CO2 supercritical extraction (SCE) of the Calotropis Procera, the Response Surface Methodology (RSM) with central composite design (CCD) was employed. The effects of temperature, pressure, and extraction time on the oil yield are considered for investigation. Results showed that the data were sufficiently fitted into the second-order polynomial model. The extraction conditions, including pressure, temperature, and extraction time, were studied between 150-200 bar, 40-50 ºC, and 50-100 min, respectively. The optimal conditions are achieved as the temperature of 47.19ºC, the pressure of 172.2 bar, and time of 86 minutes with the retrieval rate of 31.39%.

scholarly journals Optimum Parameters for Extracting Three Kinds of Carotenoids from Pepper Leaves by Response Surface Methodology

Separations ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 134
Author(s):  
Nenghui Li ◽  
Jing Li ◽  
Dongxia Ding ◽  
Jianming Xie ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Dry Weight ◽  
Optimum Parameters ◽  
Order Polynomial ◽  
Pepper Leaves ◽  
New Varieties ◽  
Weak Light ◽  
Experimental Values ◽  
Optimum Extraction

To determine the optimum parameters for extracting three carotenoids including zeaxanthin, lutein epoxide, and violaxanthin from pepper leaves by response surface methodology (RSM), a solvent of acetone and ethyl acetate (1:2) was used to extract carotenoids with four independent factors: ultrasound time (20–60 min); ratio of sample to solvent (1:12–1:4); saponification time (10–50 min); and concentration of saponification solution (KOH–methanol) (10–30%). A second-order polynomial model produced a satisfactory fitting of the experimental data with regard to zeaxanthin (R2 = 75.95%, p < 0.0197), lutein epoxide (R2 = 90.24%, p < 0.0001), and violaxanthin (R2 = 73.84%, p < 0.0809) content. The optimum joint extraction conditions of zeaxanthin, lutein epoxide, and violaxanthin were 40 min, 1:8, 32 min, and 20%, respectively. The optimal predicted contents for zeaxanthin (0.823022 µg/g DW), lutein epoxide (4.03684 µg/g dry; DW—dry weight), and violaxanthin (16.1972 µg/g DW) in extraction had little difference with the actual experimental values obtained under the optimum extraction conditions for each response: zeaxanthin (0.8118 µg/g DW), lutein epoxide (3.9497 µg/g DW), and violaxanthin (16.1590 µg/g DW), which provides a theoretical basis and method for cultivating new varieties at low temperatures and weak light resistance.

scholarly journals Optimization of parameters affecting dealcoholization of anthocyanin extract by liquid emulsion membrane using response surface methodology

2021 ◽  
Vol 19 (6) ◽  
pp. 562-574
Author(s):  
Prakash Binnal ◽  
Rajashekhara S. ◽  
Jagadish Patil
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Suitable Model ◽  
Central Composite Rotatable Design ◽  
Design Expert ◽  
Optimum Parameters ◽  
Response Surface Plot ◽  
Surface Plot ◽  
Liquid Emulsion ◽  
Central Composite

Colour is one of most important properties of foods and beverages and is a basis for their identification and acceptability. Anthocyanin from red cabbage was extracted using 50 % ethanol. The extract was dealcoholized by Liquid Emlusion Membrane technology (LEM). Parafin oil was used as a solvent, lecithin was used as a surfactant and water as stripping medium. Response surface methodology (RSM) was used to design the experiments. A total of 30 experiments were conducted in accordance with central composite rotatable design. Design expert 8 was used to design the experiments. % extraction of alcohol in each case was determined. A suitable model was fitted to experimental data by regression analysis (R-square=0.93). Response surface plot were analysed and optimum parameters for dealcoholization were found to be speed=365.44 rpm, time=18.62 min, concentration of lecithin=2.84 %, feed to emulsion ratio=3.05. A maximum dealcoholisation of 18.63 % was observed under these conditions

IMPLEMENTATION OF RESPONSE SURFACE METHODOLOGY TO CREATE AN OPTIMUM BIODIESEL POWER PLANT DERIVED FROM EMPTY FRUIT BUNCHES

2021 ◽  
pp. 1-31
Author(s):  
Somboon Sukpancharoen ◽  
poj hansirisawat ◽  
Thongchai Srinophakun
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Carbon Dioxide Emissions ◽  
Power Plants ◽  
Design Expert ◽  
Empty Fruit Bunches ◽  
Optimum Parameters ◽  
Product Separation

Abstract This study examined product separation in biodiesel power plants to optimise the process. Response Surface Methodology (RSM) was used to identify the optimum parameters for the process of separation, to maximise profitability while also reducing carbon dioxide emissions. The mass and energy balance was assessed using Aspen Plus software, while RSM was carried out with Design-Expert software. Development of the characteristic equation determined that the model for gasoline yield, power generation, and carbon dioxide emissions was significant at the 95% confidence level. The R-squared value predicted by the model was found to be 0.97–1.00. In an optimal plant, profit can rise by 3,836 USD over the year, while carbon dioxide emissions decline annually by 17.97 tons.

scholarly journals Multiobjective Optimization for the Greener Synthesis of Chloromethyl Ethylene Carbonate by CO2 and Epichlorohydrin via Response Surface Methodology

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 741
Author(s):  
Bisi Olaniyan ◽  
Basudeb Saha
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethylene Carbonate ◽  
Statistical Modelling ◽  
System Optimization ◽  
Quadratic Model ◽  
Catalyst Loading ◽  
Greener Synthesis ◽  
Relative Errors ◽  
Carbon Dioxide Co2

In this paper, a statistical analysis with response surface methodology (RSM) has been used to investigate and optimize process variables for the greener synthesis of chloromethyl ethylene carbonate (CMEC) by carbon dioxide (CO2) and epichlorohydrin (ECH). Using the design expert software, a quadratic model was developed to study the interactions effect between four independent variables and the reaction responses. The adequacy of the model was validated by correlation between the experimental and predicted values of the responses using an analysis of variance (ANOVA) method. The proposed Box-Behnken design (BBD) method suggested 29 runs for data acquisition and modelling the response surface. The optimum reaction conditions of 353 K, 11 bar CO2 pressure, and 12 h using fresh 12% (w/w) Zr/ZIF-8 catalyst loading produced 93% conversion of ECH and 68% yield of CMEC. It was concluded that the predicted and experimental values are in excellent agreement with ±1.55% and ±1.54% relative errors from experimental results for both the conversion of ECH and CMEC yield, respectively. Therefore, statistical modelling using RSM can be used as a reliable prediction technique for system optimization for greener synthesis of chloromethyl ethylene carbonate via CO2 utilization.

OPTIMIZATION OF COATING PROCESS OF HEMATITE NANO PARTICLES ON MICA FLAKES BY RESPONSE SURFACE METHODOLOGY

2008 ◽  
Vol 22 (18n19) ◽  
pp. 3225-3232
Author(s):  
M. R. TOHIDIFAR ◽  
E. TAHERI-NASSAJ ◽  
P. ALIZADEH
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nano Particles ◽  
Synthesis Process ◽  
Optimum Conditions ◽  
Synthesis Time ◽  
Variable Parameters ◽  
Whole Process ◽  
Optimum Parameters ◽  
Rsm Technique

The present paper attempts as how the pigments comprising of nano-sized hematite particles deposited on mica surfaces in optimum conditions offer an excellent pearlescent properties. To record the influencing parameters on the synthesis process, response surface methodology (RSM) technique was used where temperature of reaction, synthesis time and concentration of urea were selected as variable parameters. Taking into account colorimetric parameters, the whole process was then analyzed by "Design Expert" software that finally gave following optimum factors: reaction temperature=82.02°C, synthesis time=11.98 h, urea concentration=37.5 g/l. Once the above optimum parameters selected, seemingly, the spherical hematite particles of about 60 nm in diameter are deposited uniformly on mica surfaces.

Process Optimization of Microwave Drying Sludge with Response Surface Methodology

2011 ◽  
Vol 396-398 ◽  
pp. 1269-1272 ◽  
Author(s):  
Mu Xin Han ◽  
Dong Mei Li ◽  
Yu Jie Feng ◽  
Yu Fei Tan
Keyword(s):  
Response Surface Methodology ◽  
Moisture Content ◽  
Response Surface ◽  
Microwave Drying ◽  
Tree Bark ◽  
Treatment Efficiency ◽  
Optimum Parameters ◽  
Predicted Values ◽  
Experimental Values ◽  
The Relationship

To enhance further treatment efficiency of the sludge, a process microwave drying of sludge was optimized using response surface methodology (RSM). A quadratic polynomial mathematical model was developed through Box-Behnken experimental design to describe the relationship between tested variables and moisture content of sludge. The experimental values were found to be in accordance with the predicted values, the correlation coefficient is 0.9203(P < 0.001). Estimated optimum parameters were as follows: The sludge: tree bark is 58:1, microwave power is 630w and processing time is 5.32 minutes. Under these conditions, a lowest moisture content of sludge (49.12%) after microwave drying was reached.

scholarly journals Boron removal from aqueous solution using coagulation- flocculation with curcumin : A response surface methodology

2021 ◽  
Vol 42 (3(SI)) ◽  
pp. 750-755
Author(s):  
A.A. Halim ◽  
◽  
M.M. Hanafiah ◽  
M. Asmi ◽  
Z. Daud ◽  
...  
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Response Surface ◽  
P Value ◽  
Boron Removal ◽  
Optimum Parameters ◽  
Lack Of Fit ◽  
Coagulant Dosage ◽  
Model Correlation ◽  
Flocculation Process

Aim: Application of response surface methodology (RSM) to determine optimum parameters in the coagulation-flocculation process aided by curcumin for boron removal from aqueous solution was investigated. Methodology: Different parameters such as pH, coagulant dosage, and curcumin dosage that effect boron removal were tested. Application of central composite design in RSM was used to design the coagulation-flocculation experiment. Results: The results showed 75% of boron removal, while the optimum parameters for boron removal were observed at pH 2.8, 132.05 ppm poly aluminum chloride dose and 1161.4 ppm curcumin dose, respectively. Interpretation: Quadratic regression showed that the model was significant and lack of fit P value was 0.107 (p > 0.05), implying a significant model correlation between the variables and responses. The experimental data and predicted model proved that RSM is an appropriate approach for optimising the coagulation–flocculation process in removing boron from aqueous solution.

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