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: Mohd Jelas Haron, Dzulkifly Kuang Abdullah, Hamid Reza Fard Masoumi, Mahiran Basri, Anuar Kassim
Format: Article
Language:English
Published: MDPI AG 2011-06-01
Series:Molecules
Subjects:
neural network
optimization
esterquat
enzyme
synthesis
Online Access:http://www.mdpi.com/1420-3049/16/7/5538/

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http://www.mdpi.com/1420-3049/16/7/5538/

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