Citation
Masoumi, Hamid Reza Fard and Basri, Mahiran and Kassim, Anuar and Abdullah, Dzulkefly Kuang and Abdollahi, Yadollah and Abd Gani, Siti Salwa and Rezaee, Malahat
(2014)
Optimization of process parameters for lipase-catalyzed synthesis of esteramines-based esterquats using wavelet neural network (WNN) in 2-liter bioreactor.
Journal of Industrial and Engineering Chemistry, 20 (4).
pp. 1973-1976.
ISSN 1226-086X; ESSN: 1876-794X
Abstract
A wavelet neural network (WNN) based on the genetic algorithm (GA) was used in conjunction with an experimental design to optimize the enzymatic reaction conditions for the preparation of esteramines-based esterquats. A set of experiments was designed by central composite design to process modeling and statistically evaluate the findings. Five independent process variables, including enzyme amount, reaction time, reaction temperature, substrates molar ratio and agitation speed were studied under the given conditions designed by Design Expert software. All these show that the WNN has great potential ability in prediction of reaction conversion in lipase-catalyzed synthesis of products.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science Institute of Advanced Technology Institute of Bioscience |
| DOI Number: | https://doi.org/10.1016/j.jiec.2013.09.019 |
| Publisher: | Elsevier |
| Keywords: | Wavelet neural network; Optimization process parameters; Esterquat; Enzymatic reaction; Lipase-catalyzed synthesis |
| Depositing User: | Nurul Ainie Mokhtar |
| Date Deposited: | 23 Dec 2015 01:31 |
| Last Modified: | 23 Dec 2015 01:31 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jiec.2013.09.019 |
| URI: | http://psasir.upm.edu.my/id/eprint/34782 |
| Statistic Details: | View Download Statistic |
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