Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2013
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| Online Access: | http://eprints.uthm.edu.my/4120/ http://eprints.uthm.edu.my/4120/1/AJ%202017%20%28571%29.pdf |
| _version_ | 1848888201332129792 |
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| author | Roslan, Rohaizu Wan Daud, Wan Rosli Zainuddin, Zarita Pauline, Ong |
| author_facet | Roslan, Rohaizu Wan Daud, Wan Rosli Zainuddin, Zarita Pauline, Ong |
| author_sort | Roslan, Rohaizu |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T20:06:31Z |
| format | Article |
| id | uthm-4120 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:06:31Z |
| publishDate | 2013 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-41202021-11-25T04:10:59Z http://eprints.uthm.edu.my/4120/ Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks Roslan, Rohaizu Wan Daud, Wan Rosli Zainuddin, Zarita Pauline, Ong TA401-492 Materials of engineering and construction. Mechanics of materials 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. Elsevier 2013 Article PeerReviewed text en http://eprints.uthm.edu.my/4120/1/AJ%202017%20%28571%29.pdf Roslan, Rohaizu and Wan Daud, Wan Rosli and Zainuddin, Zarita and Pauline, Ong (2013) Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks. Industrial Crops and Products, 50 (NIL). pp. 611-617. ISSN 0926-6690 https://dx.doi.org/10.1016/j.indcrop.2013.08.048 |
| spellingShingle | TA401-492 Materials of engineering and construction. Mechanics of materials Roslan, Rohaizu Wan Daud, Wan Rosli Zainuddin, Zarita Pauline, Ong Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks |
| title | Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks |
| title_full | Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks |
| title_fullStr | Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks |
| title_full_unstemmed | Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks |
| title_short | Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks |
| title_sort | optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks |
| topic | TA401-492 Materials of engineering and construction. Mechanics of materials |
| url | http://eprints.uthm.edu.my/4120/ http://eprints.uthm.edu.my/4120/ http://eprints.uthm.edu.my/4120/1/AJ%202017%20%28571%29.pdf |