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

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

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,...