Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network

• Main Authors: Md. Sarip, M. S., Yamashita, Y., Morad, N. A., Che Yunus, M. A., Abdul Aziz, M. K.
• Format: Article
• Published: Society of Chemical Engineers, Japan 2016
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/71726/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978645366&doi=10.1252%2fjcej.15we251&partnerID=40&md5=7d1c0e1b230a7b89fc174600d304b8a0

Hot compressed water extraction (HCWE) is a promising green alternative to the screw press in the palm oil processing. In this study, the steady-state characteristic of the HCWE was modeled by using an artificial neural network (ANN). The overall oil yield and other outputs; β-carotene, α-tocopherol...