Optimization of cellulose phosphate synthesis from oil palm lignocellulosics using wavelet neural networks

Wanrosli, W. D. and Zainuddin, Z. and Ong, P. and Rohaizu, R. (2013) Optimization of cellulose phosphate synthesis from oil palm lignocellulosics using wavelet neural networks. Industrial Crops and Products, 50 . pp. 611-617. ISSN 09266690

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Official URL: http://dx.doi.org/10.1016/j.indcrop.2013.08.048

Abstract

Cellulose phosphate was synthesized from microcrystalline cellulose derived from oil palm lignocellu-losics via the H3PO4/P2O5/Et3PO4/hexanol method. The influence of process variables (viz. temperature,reaction time, and the H3PO4/Et3PO4ratio) on the properties of the resulting cellulose phosphate wasinvestigated using a wavelet neural network model with the goals of ascertaining which factors werecritical and of determining optimized reaction parameters for this synthesis. The experimental resultscorroborated the good fit of the wavelet neural network model. The prediction errors were quite small(less than 7%), and the regression values (R2greater than 0.99) were also satisfactory.

Item Type:Article
Uncontrolled Keywords:Cellulose phosphate; microcrystalline cellulose; oil palm lignocellulosics; optimization; wavelet neural networks
Subjects:T Technology > TP Chemical technology > TP155-156 Chemical engineering
Divisions:Faculty of Mechanical and Manufacturing Engineering > Department of Engineering Mechanics
ID Code:10753
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:20 Feb 2019 16:12
Last Modified:20 Feb 2019 16:12

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