Multivariate optimization in the biosynthesis of a triethanolamine (TEA)-based esterquat cationic surfactant using an artificial neural network.

Multivariate optimization in the biosynthesis of a triethanolamine (TEA)-based esterquat cationic surfactant using an artificial neural network.

An Artificial Neural Network (ANN) based on the Quick Propagation (QP) algorithm was used in conjunction with an experimental design to optimize the lipase-catalyzed reaction conditions for the preparation of a triethanolamine (TEA)-based esterquat cationic surfactant. Using the best performing ANN,...

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Bibliographic Details
Main Authors: Fard Masoumi, Hamid Reza, Kassim, Anuar, Basri, Mahiran, Abdullah, Dzulkefly Kuang, Haron, Md. Jelas
Format: Article
Language:English
English
Published: MDPI 2011
Online Access:http://psasir.upm.edu.my/id/eprint/24952/
http://psasir.upm.edu.my/id/eprint/24952/1/Multivariate%20optimization%20in%20the%20biosynthesis%20of%20a%20triethanolamine.pdf

Internet

http://psasir.upm.edu.my/id/eprint/24952/
http://psasir.upm.edu.my/id/eprint/24952/1/Multivariate%20optimization%20in%20the%20biosynthesis%20of%20a%20triethanolamine.pdf

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