scholarly journals Effect of Roasting Temperature and Duration on the Quality of Oil from Walnut (Plukenetia conophorum) Using Response Surface Methodology

2020 ◽  
pp. 1-12
Author(s):  
Raji, Fatima A. ◽  
Akinoso Rahman
Keyword(s):  
Response Surface Methodology ◽  
Fatty Acid ◽  
Free Fatty Acid ◽  
Response Surface ◽  
Edible Oils ◽  
Process Condition ◽  
Oil Yield ◽  
Optimum Process ◽  
Walnut Oil ◽  
Roasting Temperature

This study investigated the effect of heat treatment and duration on yield and qualities of Walnut (Plukenetia conophorum) oil. The experimental design was carried out using the central composite rotatable design (CCRD) of response surface methodology with a total of thirteen experimental runs. The process variables and their ranges were roasting temperature 87.57ºC to 172.43ºC and roasting duration 10 min to 46.21 min. Oil from each experimental run was extracted using Piteba screw oil expeller. The expressed oil yield was determined and the results revealed that the oil yield ranged from 33.87% to 30.67% for the maximum and minimum values which were achieved at temperatures and duration of 172.43% at 25 min and 87.57ºC at 25 min respectively. Optimum process condition was achieved at roasting temperature and duration of 160ºC and 40 min with two possible solutions of 0.82 desirability which gave oil yield (33.50%); peroxide value (7.8 MeqO2/g); colour (13.69 mg/L); free fatty acid (1.46%) and iodine value (136.82 mmol/100 g). The low free fatty acid and peroxide values in walnut oil is an indication of its overall quality thus its suitability as an alternative oil to supplement existing edible oils.

scholarly journals Optimisation of Free Fatty Acid Removal in Nyamplung Seed Oil (Callophyllum inophylum L.) using Response Surface Methodology Analysis

2021 ◽  
Vol 29 (4) ◽  
Author(s):  
Ratna Dewi Kusumaningtyas ◽  
Haniif Prasetiawan ◽  
Radenrara Dewi Artanti Putri ◽  
Bayu Triwibowo ◽  
Siti Choirunisa Furi Kurnita ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Fatty Acid ◽  
Reaction Time ◽  
Free Fatty Acid ◽  
Response Surface ◽  
Reaction Temperature ◽  
Seed Oil ◽  
Catalyst Concentration ◽  
Molar Ratio ◽  
Esterification Reaction

Nyamplung seed (Calophyllum inophyllum L.) oil is a prospective non-edible vegetable oil as biodiesel feedstock. However, it cannot be directly used in the alkaline catalysed transesterification reaction since it contains high free fatty acid (FFA) of 19.17%. The FFA content above 2% will cause saponification reaction, reducing the biodiesel yield. In this work, FFA removal was performed using sulfuric acid catalysed esterification to meet the maximum FFA amount of 2%. Experimental work and response surface methodology (RSM) analysis were conducted. The reaction was conducted at the fixed molar ratio of nyamplung seed oil and methanol of 1:30 and the reaction times of 120 minutes. The catalyst concentration and the reaction temperature were varied. The highest reaction conversion was 78.18%, and the FFA concentration was decreased to 4.01% at the temperature of 60℃ and reaction time of 120 minutes. The polynomial model analysis on RSM demonstrated that the quadratic model was the most suitable FFA conversion optimisation. The RSM analysis exhibited the optimum FFA conversion of 78.27% and the FFA content of 4%, attained at the reaction temperature, catalyst concentration, and reaction time of 59.09℃, 1.98% g/g nyamplung seed oil, and 119.95 minutes, respectively. Extrapolation using RSM predicted that the targeted FFA content of 2% could be obtained at the temperature, catalyst concentration, and reaction time of 58.97℃, 3%, and 194.9 minutes, respectively, with a fixed molar ratio of oil to methanol of 1:30. The results disclosed that RSM is an appropriate statistical method for optimising the process variable in the esterification reaction to obtain the targeted value of FFA.

Optimization of oil bleaching parameters, using response surface methodology, for acid-activated sepiolite from Iran

Clay Minerals ◽  
2015 ◽  
Vol 50 (5) ◽  
pp. 639-648 ◽  
Author(s):  
Mojtaba Saneei ◽  
Sayed Amir Hossein Goli ◽  
Javad Keramat
Keyword(s):  
Response Surface Methodology ◽  
Fatty Acid ◽  
Free Fatty Acid ◽  
Specific Surface ◽  
Response Surface ◽  
Surface Area ◽  
Canola Oil ◽  
Bleaching Agent ◽  
Optimum Conditions ◽  
Β Carotene

AbstractAn Iranian sepiolite was activated with 1.5 M HCl. During activation, the specific surface area increased from 105 to 168 m2/g and the SiO2 content increased from 45.4 to 51.6%. The roles of temperature and time and the amount of acid-activated sepiolite used, were investigated and the optimum conditions, where chlorophyll, β-carotene, free fatty acid and peroxide were at their minimum levels, were determined for bleaching of canola oil by applying response surface methodology (RSM). Optimum bleaching conditions were obtained by adding 3% of acid-activated sepiolite at a temperature of 110°C with a bleaching time of 42.46 min during which, the amount of chlorophyll-α, β-carotene, free fatty acid and peroxide were reduced from 12.30 to 0.35 mg/kg, 49.15 to 14.98 mg/kg, 0.62 to 0.15%, and 3.87 to 2.14 meq O2/kg of oil, respectively. At optimum conditions, sepiolite displayed a greater capacity for removal of chlorophyll and β-carotene than a commercial bentonite bleaching agent.

scholarly journals Effect of Heat Treatment on Yield and Quality of Loofah (Luffa cylindrica Linn.) Seed Oil

2015 ◽  
Vol 58 (3) ◽  
pp. 130-135
Author(s):  
Rahman Akinoso ◽  
Ademola Kabir Aremu ◽  
Nnena Akosim
Keyword(s):  
Heat Treatment ◽  
Refractive Index ◽  
Fatty Acid ◽  
Free Fatty Acid ◽  
Specific Gravity ◽  
Response Surface ◽  
Quality Parameters ◽  
Oil Yield ◽  
Luffa Cylindrica ◽  
Yield And Quality

Effect of heat treatment on yield and some quality parameters of loofah seed (Luffa cylindrica Linn.) oil was the focus of this study. Central composite rotatable response surface methodology design for two variables was used for this investigation. Fatty acid composition of the un-treated oil was determined. The independent variables roasting temperature were 102, 110, 130, 150, 158 °C and duration 16, 20, 30, 40, 44 min while oil yield, moisture content, free fatty acid, colour, refractive index and specific gravity of the oil were the dependent variables. All determinations were done using standard methods. Linoleic acid  (50.66%), oleic acid (27.66%), palmitic acid (12.28%) and stearic acid (6.44%) were the major fatty acids. Mean oil yield, moisture, free fatty acid, colour, refractive index and specific gravity were 25.91±5.16%,0.035±0.003%, 5.3±2.47%, 15.23±1.83 mg/100g, 1.47±0.002 ND40  and 0.913±0.02, respectively. All the parameters were significantly affected by heat treatment (p<0.05). Regression models were not fit to expressthe relation, thus optimisation using response surface approach was not adequate.

scholarly journals Optimization of Bio-oil Production from Empty Palm Fruit Bunches by Pyrolysis using Response Surface Methodology

REAKTOR ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 1-9
Author(s):  
Tutuk Djoko Kusworo ◽  
Bayu Aji Pratama ◽  
Dhea Putri Safira
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Optimal Operation ◽  
Operating Conditions ◽  
Fuel Oil ◽  
Oil Yield ◽  
Human Populations ◽  
Operation Condition ◽  
Palm Fruit ◽  
Bio Oil

The need for fuel oil continues to increase in line with the increasing number of human populations and the growth rate of dependence on fuel oil. Bio-oil is a condensed-liquid mixture that results from the thermal derivation of biomass containing hemicellulose, lignin, and cellulose. This research developed an optimization of the operation condition of bio-oil from empty palm fruit bunches (OPEFB) using a modified pyrolysis reactor. The temperature and mass of empty palm fruit bunches were the two parameters considered in this study. Optimization was carried out on process parameters using the surface response methodology (RSM) and variance analysis (ANOVA). The significance of the different parameters and the effect of the relationship between parameters on the bio-oil yield is determined using a full factorial central composite design. The optimal operation condition of pyrolysis was found to be 570.71 oC, and the mass of empty palm fruit bunch 420.71 gr. Predictions from the optimum variable of operating conditions produce a bio-oil yield of 5.58%. The actual bio-oil yield on the optimum condition that was be validated is 5.6 %. The chemical composition of bio-oil obtained was evaluated by GCMS to ensure its characterization as a fuel.Keywords: Empty palm fruit bunches, Bio-oil, Pyrolysis, Response Surface Methodology, Optimization

scholarly journals Optimization of oil yield from Hevea brasiliensis seeds through ultrasonic-assisted solvent extraction via response surface methodology

2018 ◽  
Vol 28 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Val Irvin F. Mabayo ◽  
Johann Rey C. Aranas ◽  
Vernie Jay B. Cagas ◽  
Derfrick Paul A. Cagas ◽  
Alexander L. Ido ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Solvent Extraction ◽  
Response Surface ◽  
Hevea Brasiliensis ◽  
Oil Yield ◽  
Ultrasonic Assisted

Optimization of Ultrasound Extraction of Nitrite Nitrogen in Sediment by Response Surface Methodology

2014 ◽  
Vol 955-959 ◽  
pp. 1466-1470 ◽  
Author(s):  
Dan Liu ◽  
Fang Yu ◽  
Wei Tan ◽  
Gui Zhen Li ◽  
Min Yang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Optimum Condition ◽  
Response Surface ◽  
Process Condition ◽  
Extraction Time ◽  
Ultrasonic Power ◽  
Liquid Ratio ◽  
Ultrasound Extraction ◽  
Nitrite Nitrogen ◽  
Solid Liquid

Response surface methodology based on single factors was used to optimize the process condition for extraction of nitrite nitrogen in sediment . The results indicated that the extraction amount of nitrite nitrogen was 9.5μg /g under the optimum condition of extraction time of 44min, ultrasonic power of 280W, solid-liquid ratio of 1:19,which was closed to the predicated yield of 9.3μg/g. The process can be used for the extraction of nitrite nitrogen in sediments.

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