Optimization of Immobilized Lipase-Catalyzed Synthesis of wax Esters by Response Surface Methodology

2012 ◽  
Vol 6 (1) ◽  
pp. 77-85 ◽  
Author(s):  
Imen Aissa ◽  
Mohamed Sellami ◽  
Amel Kamoun ◽  
Youssef Gargouri ◽  
Nabil Miled
2012 ◽  
Vol 6 (1) ◽  
pp. 77-85
Author(s):  
Imen Aissa ◽  
Mohamed Sellami ◽  
Amel Kamoun ◽  
Youssef Gargouri ◽  
Nabil Miled

2016 ◽  
Vol 4 (1) ◽  
pp. 56 ◽  
Author(s):  
Michael Osho ◽  
Tope Popoola ◽  
Tolulope Adeleye ◽  
Christianah Adetunji

<p>Optimization of Vegetable Sponge (<em>Luffa aegyptiaca</em>) (VS) - immobilization conditions of <em>Aspergillus niger</em> ATCC 1015 lipase on Solid State Fermentation (SSF) was carried out using Response Surface Methodology (RSM). Four independent variables (temperature, pH, enzyme loading and enzyme stability) were optimized using Central Composite Design of RSM for lipase production in a solid rice bran-physic nut cake medium. The optimal immobilization conditions obtained were 45 °C, pH 7.0, 2.5% (w/v) enzyme loading and 32.5% (v/v) enzyme stability (using glutaraldehyde as crosslinking agent) resulted into lipase activity of 98.6 Ug<sup>-1</sup>. The result demonstrates the potential application of vegetable sponge under SSF system in immobilizing lipase, thus contributed to efficiency of the use of this biomatrix as an immobilizing agent. The statistical tools employed predicted the optimal conditions for the production of the immobilized lipase thus revealing the full potential of the support.</p>


2017 ◽  
Vol 35 (4) ◽  
pp. 238-248 ◽  
Author(s):  
Ayoub Rashid Choudhry ◽  
Muhammad Mushtaq ◽  
Ahmad Adnan ◽  
Quratulain Syed

2008 ◽  
Vol 73 (2) ◽  
pp. 147-156 ◽  
Author(s):  
Nevena Ognjanovic ◽  
Dejan Bezbradica ◽  
Zorica Knezevic

Response surface methodology was used for the evaluation of the effects of various factors on the synthesis of biodiesel catalyzed with immobilized lipase from Rhizomucor miehei in a solvent-free system. The production of biodiesel was optimized and model response equations were obtained, enabling the prediction of biodiesel production from the values of the four main factors. It would seem that the reaction temperature and the amount of water predominantly determined the conversion process while the methanol/oil molar ratio had no significant influence on the reaction rate. The temperature and amount of water showed negative interactive effects on the observed reaction rate per amount of enzyme. However, there were no significant interactions among the other variables according to the test of statistical significance. The highest yield of 10.15 mol kg-1 enzyme was observed at 45?C with a 6:1 methanol to oil molar ratio and with no added water in the system.


Sign in / Sign up

Export Citation Format

Share Document