Response surface methodology applied to the analysis of rice bran oil extraction process with ethanol

2010 ◽  
Vol 45 (4) ◽  
pp. 813-820 ◽  
Author(s):  
Christianne Elisabete Da Costa Rodrigues ◽  
Ramon Oliveira
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Rice Bran ◽  
Rice Bran Oil ◽  
Extraction Process ◽  
Oil Extraction

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.

Optimizing the Pomelo Oils Extraction Process by Microwave-Assisted Hydro-Distillation Using Soft Computing Approaches

2018 ◽  
Vol 279 ◽  
pp. 217-221 ◽  
Author(s):  
Tran Thien Hien ◽  
Nguyen Phu Thuong Nhan ◽  
Nguyen Duy Trinh ◽  
Van Thi Thanh Ho ◽  
Long Giang Bach
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Response Surface ◽  
Soft Computing ◽  
Microwave Power ◽  
High Reliability ◽  
Extraction Process ◽  
Oil Extraction ◽  
Microwave Assisted ◽  
Number Of Factors

Pomelo (Citrus grandis .Linn Osbeck) oils is becoming more and more popular for everyone because it has great benefits. However, the efficiency of essential oil extraction process depends on the method and is influenced by a number of factors. Microwave-assisted hydro-distillation and Response Surface Methodology are selected for extracting and optimizing the factors affect the yield of the pomelo oil. The pomelo oil has the optimum yield was 4.5% when extracted with a water and peels ratio of 3,119: 1 (ml/g) for time extraction of 117.336 (minutes) at a microwave power of 403.115 (W) with high reliability (R2 = 0.9831)

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 EXPERIMENTAL AND MODELING STUDIES OF VIETNAM LEMONGRASS ESSENTIAL OIL EXTRACTION PROCESS USING RESPONSE SURFACE METHODOLOGY

2018 ◽  
Vol 56 (2A) ◽  
pp. 11-16
Author(s):  
Nguyen Trung Dung
Keyword(s):  
Response Surface Methodology ◽  
Moisture Content ◽  
Response Surface ◽  
Steam Distillation ◽  
Raw Materials ◽  
Specific Area ◽  
Extraction Process ◽  
Oil Extraction ◽  
Operating Conditions ◽  
Operating Parameters

Natural precious products such as aroma compounds, essential oils, and bio-activated materials are usually extracted from about 30,000 botanical species. These extracts are often high competitive market due to their small content (less than 1 %) in plants and high purification cost. Thus, development of a modeling for the optimization of the crude oil extraction is highly paid attention. In this work, a modeling of Vietnam lemongrass oil extraction using steam distillation is developed and the optimization of the process parameters is performed using response surface methodology (RSM). The operating parameters considered for the modeling and optimization are specific area of raw materials, moisture content of feedstock, and steam rate. Experimental data show that the oil yield from steam distillation of Vietnam lemongrass is significantly affected by the three mentioned factors. Box-Behnken design (BBD) and analysis of variance (ANOVA) are used to examine the effects of operating parameters on the extraction efficiency. On the basis of the measurements and RSM, a quadric regression model as a function of steam rate, specific area and moisture content of materials is estimated. The optimized operating conditions of the lemongrass hydrodistillation are also obtained by applying the proposed modeling.

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