A multivariate modeling for analysis of factors controlling the particle size and viscosity in palm kernel oil esters-based nanoemulsions

• Main Authors: Rezaee, Malahat, Basri, Mahiran, Raja Abdul Rahman, Raja Noor Zaliha, Salleh, Abu Bakar, Chaibakhsh, Naz, Masoumi, Hamid Reza Fard
• Format: Article
• Language: English
• Published: Elsevier 2014
• Online Access: http://psasir.upm.edu.my/id/eprint/36188/1/A%20multivariate%20modeling%20for%20analysis%20of%20factors%20controlling%20the%20particle%20size%20and%20viscosity%20in%20palm%20kernel%20oil%20esters.pdf; http://psasir.upm.edu.my/id/eprint/36188/

An artificial neural network (ANN) was used to develop predictive models for studying and identifying factors that influence particle size and viscosity of sodium diclofenac-loaded palm kernel oil esters-nanomeulsions. The effect of four independent variables namely water content, oil and surfactant...