Modelling the convective drying process of pumpkin (Cucurbita moschata) using an artificial neural network

• Main Authors: Chikwendu, Onwude Daniel Iroemeha, Hashim, Norhashila, Janius, Rimfiel, Mat Nawi, Nazmi, Abdan, Khalina
• Format: Article
• Language: English
• Published: Faculty of Food Science and Technology, Universiti Putra Malaysia 2016
• Online Access: http://psasir.upm.edu.my/id/eprint/50547/1/%2834%29%20IFRJ-16272%20Hashim.pdf; http://psasir.upm.edu.my/id/eprint/50547/; http://www.ifrj.upm.edu.my/23%20(06)%202016%20supplementary/(34)%20IFRJ-16272%20Hashim.pdf
• Institution: Universiti Putra Malaysia

This study investigated the drying kinetic of pumpkin under different drying temperatures (50, 60, 70 and 80°C), samples thickness (3, 4, 5 and 7mm), air velocity (1.2m/s) and relative humidity (40 - 50%). Kinetic models were developed using semi-theoretical thin layer models and multi-layer feed-fo...