Response Surface Modeling and Optimization of Immobilized Candida antarctica Lipase-Catalyzed Production of Dicarboxylic Acid Ester
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Naz Chaibakhsh
Dicarboxylic acid esters are one of the important classes of synthetic lubricants which exhibit good oxidation and thermal stability, low volatility, shear stability, high viscosity index and low toxicity. In this work, enzymatic synthesis of dioleyl adipate ester was performed in batch mode with a stirred tank reactor (STR). Immobilized Candida antarctica lipase B was used as the biocatalyst for the esterification reaction. Response surface methodology (RSM) based on a four-factor-five-level central composite rotatable design (CCRD) was employed to model and analyze the reaction. The effects of all investigated parameters including amount of enzyme (1-10%w/w), temperature (35-75oC), time (30-480 min) and impeller speed (1-500 rpm) were significant (P<0.0001). All factors positively affected the yield with reaction time having the most significant effect. The highest obtained conversion yield was 96.2% under experimental conditions of 60.0oC, 323.7 min, amount of enzyme 6.0%w/w of the substrates and 500 rpm impeller speed. Verification experiments exhibited good correspondence between actual yields and the values predicted by the statistical model. The predictive model was successfully applied for optimization of upscale synthesis of adipate ester.
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Article
- Optimization of Pumping Schedules Using the Genealogical Decision Tree Approach
- Response Surface Modeling and Optimization of Immobilized Candida antarctica Lipase-Catalyzed Production of Dicarboxylic Acid Ester
- Search for Optimum Operating Conditions for a Water Purification Process Integrated to a Heat Transformer with Energy Recycling using Artificial Neural Network Inverse Solved by Genetic and Particle Swarm Algorithms
- Generic Mathematical Model for PSA Process
- A Combined Computational Fluid Dynamics and Artificial Neural Networks Model for Distillation Point Efficiency
- Multi-level Reactor Optimisation in the Conceptual Design of Processes with Heterogeneous Catalytic Reactors
- ANN and ANFIS Models for COP Prediction of a Water Purification Process Integrated to a Heat Transformer with Energy Recycling
- Adsorption of Cadmium on Gel Combustion Derived Nano ZnO
- Smith Predictor Based Parallel Cascade Control Strategy for Unstable Processes with Application to a Continuous Bioreactor
- Application of box-behnken design to the extraction of flavonoid fraction of Schizophyllum commune and the empirical kinetic study
- Sewage Sludge to Energy - A Simulation Study
- A Modified Kennard-Stone Algorithm for Optimal Division of Data for Developing Artificial Neural Network Models
- Particle swarm optimization technique for the optimal design of shell and tube heat exchangers
- Neural Network Based Multi Stage Modelling of Chylla Haase Polymerization Reactor
