Enzymatic acidolysis in hexane to produce n−3 or n−6 FA-enriched structured lipids from coconut oil: Optimization of reactions by response surface methodology

2002 ◽  
Vol 79 (9) ◽  
pp. 885-890 ◽  
Author(s):  
Reena Rao ◽  
Balaraman Manohar ◽  
Kari Sambaiah ◽  
Belur R. Lokesh
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Structured Lipids ◽  
Coconut Oil ◽  
Enzymatic Acidolysis

Application of response surface methodology for optimizing transesterification of coconut oil

2017 ◽  
Vol 05 ◽  
pp. 101 ◽  
Author(s):  
Dat, N.V. ◽  
Thanh, N.Q.C. ◽  
Men, L.T. ◽  
Thao, D.N.T. ◽  
Phuong, T.H. ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Coconut Oil

scholarly journals Optimization of the Aqueous Extraction of Virgin Coconut Oil by Response Surface Methodology

2013 ◽  
Vol 19 (5) ◽  
pp. 729-737 ◽  
Author(s):  
Nor Faadila M. IDRUS ◽  
Noor A. FEBRIANTO ◽  
Wahidu ZZAMAN ◽  
Tang E. CUANG ◽  
Tajul A. YANG
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Coconut Oil ◽  
Aqueous Extraction ◽  
Virgin Coconut Oil

Application of Response Surface Methodology to Optimize the Process of Saponification Reaction from Coconut Oil in Ben Tre - Vietnam

2018 ◽  
Vol 279 ◽  
pp. 235-239 ◽  
Author(s):  
Nguyen Phu Thuong Nhan ◽  
Tran Thien Hien ◽  
Le Thi Hong Nhan ◽  
Phan Nguyen Quynh Anh ◽  
Le Tan Huy ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Alkaline Solution ◽  
Coconut Oil ◽  
Solution Concentration ◽  
Significant Error ◽  
Solution Temperature ◽  
Two Factors ◽  
Good Repeatability ◽  
Rsm Model

Response Surface Methodology (RSM) is used to optimize the conditions of the saponification reaction (Concentration of alkaline solution (%), temperature (°C) and reaction time (hour)). Level of foaming and durability of the emulsion (cleaning ability) from the product of the saponification reaction are two factors to evaluate the optimization process by RSM. After optimization, the alkaline solution concentration is 11%, the reaction was carried out for 2.5-3 hours at 85°C for the highest level of foaming and the most prolonged durability of the emulsion. This parameter was compared with the experiment, and the results showed that there was no significant error, this proves that the RSM model has good repeatability, can optimally correct and is essential in optimizing the survey parameters.

scholarly journals Response Surface Methodology for the Optimization of Coco Ethanolamide Production from Coconut Oil

2018 ◽  
Vol 34 (6) ◽  
pp. 3030-3036 ◽  
Author(s):  
Zuhrina Masyithah ◽  
Dinar Rajagukguk ◽  
Samuel Oktavianus Purba ◽  
Armansyah Ginting
Keyword(s):  
Response Surface Methodology ◽  
Fatty Acid ◽  
Methyl Ester ◽  
Response Surface ◽  
Catalyst Concentration ◽  
Acid Methyl Ester ◽  
Coconut Oil ◽  
Amyl Alcohol ◽  
Effective Parameters ◽  
Acid Methyl

Coco ethanolamide obtained from the amidation of Fatty acid methyl ester (FAME) from coconut oil with monoethanolamine using zirconium (IV) chloride and tert-amyl alcohol was observed in this study. Several effective parameters were evaluated in term of catalyst concentration (5-9% w/wFAME), reaction temperature (80-100oC) and stirring speed (200-400 rpm). Response Surface Methodology (RSM) was used to optimize and to observe the interaction effects of the three variables on the FAME conversion. The capability of the process was measured from the number of FAME converted to coco ethanolamide. In the range of parameters evaluated, the conversion increase by increasing the catalyst concentration up to 9% (w/wFAME), but decreases after the optimum value. At the optimal condition, the model predicts a maximum FAME conversion of 86.27%, mainly due to a strong interaction between catalyst concentration and stirring speed.

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