Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models
Metal pollutants such as copper released into the aqueous environment have been increasing as a result of anthropogenic activities. Adsorption-based treatment technologies offer opportunities to remediate metal pollutants from municipal and industrial wastewater effluent. The aim of this work was to...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Published: |
Science Publishing Corporation
2018
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2372/ https://www.sciencepubco.com/index.php/ijet/article/view/22279 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833417051020984320 |
|---|---|
| author | A. Hamid, Hazren Harun, Hairuddin Mohamed Sunar, Norshuhaila Ahmad, Faridah Hanim Jasmani, Latifah Suleiman, Norhidayah |
| author_facet | A. Hamid, Hazren Harun, Hairuddin Mohamed Sunar, Norshuhaila Ahmad, Faridah Hanim Jasmani, Latifah Suleiman, Norhidayah |
| author_sort | A. Hamid, Hazren |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Metal pollutants such as copper released into the aqueous environment have been increasing as a result of anthropogenic activities. Adsorption-based treatment technologies offer opportunities to remediate metal pollutants from municipal and industrial wastewater effluent. The aim of this work was to evaluate the capability of modified cellulose nanowhisker (CNW) adsorbents for the remediation of copper from water matrices under realistic conditions using response surface methodology (RSM) and artificial neural network (ANN) models. Considerations for design and application to remediate Cu(II) from wastewater by developing a continuous flow experiment are described in this study. However, the physical structure of modified CNW adsorbents renders them unsuitable for use in column operation. Therefore, a more detailed study of the mechanical properties of CNW adsorbents would be necessary in order to improve the strength and stability of the adsorbents. This work has demonstrated that modified CNW are promising adsorbents to remediate copper from water matrices under realistic conditions including wastewater complexity and variability. The use of models to predict the test parameter system and account for matrix variability when evaluating CNW adsorbents for remediating Cu from a real-world wastewater matrix may also provide the foundation for assessing other treatment technologies in the future. |
| format | Article |
| id | my.uthm.eprints-2372 |
| institution | Universiti Tun Hussein Onn Malaysia |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| record_format | eprints |
| spelling | my.uthm.eprints-23722021-10-20T02:05:28Z http://eprints.uthm.edu.my/2372/ Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models A. Hamid, Hazren Harun, Hairuddin Mohamed Sunar, Norshuhaila Ahmad, Faridah Hanim Jasmani, Latifah Suleiman, Norhidayah TD511-780 Sewage collection and disposal systems. Sewerage Metal pollutants such as copper released into the aqueous environment have been increasing as a result of anthropogenic activities. Adsorption-based treatment technologies offer opportunities to remediate metal pollutants from municipal and industrial wastewater effluent. The aim of this work was to evaluate the capability of modified cellulose nanowhisker (CNW) adsorbents for the remediation of copper from water matrices under realistic conditions using response surface methodology (RSM) and artificial neural network (ANN) models. Considerations for design and application to remediate Cu(II) from wastewater by developing a continuous flow experiment are described in this study. However, the physical structure of modified CNW adsorbents renders them unsuitable for use in column operation. Therefore, a more detailed study of the mechanical properties of CNW adsorbents would be necessary in order to improve the strength and stability of the adsorbents. This work has demonstrated that modified CNW are promising adsorbents to remediate copper from water matrices under realistic conditions including wastewater complexity and variability. The use of models to predict the test parameter system and account for matrix variability when evaluating CNW adsorbents for remediating Cu from a real-world wastewater matrix may also provide the foundation for assessing other treatment technologies in the future. Science Publishing Corporation 2018 Article PeerReviewed A. Hamid, Hazren and Harun, Hairuddin and Mohamed Sunar, Norshuhaila and Ahmad, Faridah Hanim and Jasmani, Latifah and Suleiman, Norhidayah (2018) Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models. International Journal of Engineering and Technology, 7 (4.30). pp. 264-268. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/22279 |
| spellingShingle | TD511-780 Sewage collection and disposal systems. Sewerage A. Hamid, Hazren Harun, Hairuddin Mohamed Sunar, Norshuhaila Ahmad, Faridah Hanim Jasmani, Latifah Suleiman, Norhidayah Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models |
| title | Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models |
| title_full | Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models |
| title_fullStr | Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models |
| title_full_unstemmed | Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models |
| title_short | Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models |
| title_sort | predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models |
| topic | TD511-780 Sewage collection and disposal systems. Sewerage |
| url | http://eprints.uthm.edu.my/2372/ https://www.sciencepubco.com/index.php/ijet/article/view/22279 |
| url_provider | http://eprints.uthm.edu.my/ |