The natural Egyptian bentonite, collected from south El Hammam area, was modified at three different temperatures 100°C, 200°C and 300°C for 1 h. The raw and modified bentonite samples were characterized by powder X-ray diffraction (XRD), scanning electron microscope (SEM) and BET surface area. The bentonite modified at 100°C exhibited more flaky grains with smooth surface and high surface area as compared to the two other modified types. Response surface methodology in conjunction with central composite rotatable design was used in optimizing and modeling the effect of different parameters such as contact time, initial concentration and dose on the removal of iron ions. Second order quadratic polynomial model was selected to represent the removal process. The mathematical equations of quadratic polynomial model were derived from Design Expert Software (Version 6.0.5). The predicted values from the mathematical equations were highly correlated with the experimental results (R2 above 0.9) for the required responses in untreated and modified bentonite at 100°C for 1 h. 3D and linear graphs were used to understand the effect of the studied variable parameters and the interaction between them. Under the predicted conditions suggested by the quadratic programming, the modified bentonite at 100°C is more promising and the removal efficiency could be enhanced to 100%. The quadratic polynomial model could be efficiently applied for the modeling of iron removal from aqueous solutions by bentonite.
Published in | American Journal of Applied Chemistry (Volume 3, Issue 6) |
DOI | 10.11648/j.ajac.20150306.11 |
Page(s) | 179-187 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2015. Published by Science Publishing Group |
Quadratic Polynomial, Bentonite, Thermal Modification, Heavy Metals
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APA Style
Mostafa Ragab Abukhadra, Moaaz Korany Seliem, Essam Abdel Rahaman Mohamed, Ali Quarny Selim, Mahmoud Helmy Mahmoud. (2015). Application of Quadratic Polynomial Model for the Uptake of Iron from Aqueous Solutions by Natural and Modified Egyptian Bentonite. American Journal of Applied Chemistry, 3(6), 179-187. https://doi.org/10.11648/j.ajac.20150306.11
ACS Style
Mostafa Ragab Abukhadra; Moaaz Korany Seliem; Essam Abdel Rahaman Mohamed; Ali Quarny Selim; Mahmoud Helmy Mahmoud. Application of Quadratic Polynomial Model for the Uptake of Iron from Aqueous Solutions by Natural and Modified Egyptian Bentonite. Am. J. Appl. Chem. 2015, 3(6), 179-187. doi: 10.11648/j.ajac.20150306.11
AMA Style
Mostafa Ragab Abukhadra, Moaaz Korany Seliem, Essam Abdel Rahaman Mohamed, Ali Quarny Selim, Mahmoud Helmy Mahmoud. Application of Quadratic Polynomial Model for the Uptake of Iron from Aqueous Solutions by Natural and Modified Egyptian Bentonite. Am J Appl Chem. 2015;3(6):179-187. doi: 10.11648/j.ajac.20150306.11
@article{10.11648/j.ajac.20150306.11, author = {Mostafa Ragab Abukhadra and Moaaz Korany Seliem and Essam Abdel Rahaman Mohamed and Ali Quarny Selim and Mahmoud Helmy Mahmoud}, title = {Application of Quadratic Polynomial Model for the Uptake of Iron from Aqueous Solutions by Natural and Modified Egyptian Bentonite}, journal = {American Journal of Applied Chemistry}, volume = {3}, number = {6}, pages = {179-187}, doi = {10.11648/j.ajac.20150306.11}, url = {https://doi.org/10.11648/j.ajac.20150306.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajac.20150306.11}, abstract = {The natural Egyptian bentonite, collected from south El Hammam area, was modified at three different temperatures 100°C, 200°C and 300°C for 1 h. The raw and modified bentonite samples were characterized by powder X-ray diffraction (XRD), scanning electron microscope (SEM) and BET surface area. The bentonite modified at 100°C exhibited more flaky grains with smooth surface and high surface area as compared to the two other modified types. Response surface methodology in conjunction with central composite rotatable design was used in optimizing and modeling the effect of different parameters such as contact time, initial concentration and dose on the removal of iron ions. Second order quadratic polynomial model was selected to represent the removal process. The mathematical equations of quadratic polynomial model were derived from Design Expert Software (Version 6.0.5). The predicted values from the mathematical equations were highly correlated with the experimental results (R2 above 0.9) for the required responses in untreated and modified bentonite at 100°C for 1 h. 3D and linear graphs were used to understand the effect of the studied variable parameters and the interaction between them. Under the predicted conditions suggested by the quadratic programming, the modified bentonite at 100°C is more promising and the removal efficiency could be enhanced to 100%. The quadratic polynomial model could be efficiently applied for the modeling of iron removal from aqueous solutions by bentonite.}, year = {2015} }
TY - JOUR T1 - Application of Quadratic Polynomial Model for the Uptake of Iron from Aqueous Solutions by Natural and Modified Egyptian Bentonite AU - Mostafa Ragab Abukhadra AU - Moaaz Korany Seliem AU - Essam Abdel Rahaman Mohamed AU - Ali Quarny Selim AU - Mahmoud Helmy Mahmoud Y1 - 2015/10/22 PY - 2015 N1 - https://doi.org/10.11648/j.ajac.20150306.11 DO - 10.11648/j.ajac.20150306.11 T2 - American Journal of Applied Chemistry JF - American Journal of Applied Chemistry JO - American Journal of Applied Chemistry SP - 179 EP - 187 PB - Science Publishing Group SN - 2330-8745 UR - https://doi.org/10.11648/j.ajac.20150306.11 AB - The natural Egyptian bentonite, collected from south El Hammam area, was modified at three different temperatures 100°C, 200°C and 300°C for 1 h. The raw and modified bentonite samples were characterized by powder X-ray diffraction (XRD), scanning electron microscope (SEM) and BET surface area. The bentonite modified at 100°C exhibited more flaky grains with smooth surface and high surface area as compared to the two other modified types. Response surface methodology in conjunction with central composite rotatable design was used in optimizing and modeling the effect of different parameters such as contact time, initial concentration and dose on the removal of iron ions. Second order quadratic polynomial model was selected to represent the removal process. The mathematical equations of quadratic polynomial model were derived from Design Expert Software (Version 6.0.5). The predicted values from the mathematical equations were highly correlated with the experimental results (R2 above 0.9) for the required responses in untreated and modified bentonite at 100°C for 1 h. 3D and linear graphs were used to understand the effect of the studied variable parameters and the interaction between them. Under the predicted conditions suggested by the quadratic programming, the modified bentonite at 100°C is more promising and the removal efficiency could be enhanced to 100%. The quadratic polynomial model could be efficiently applied for the modeling of iron removal from aqueous solutions by bentonite. VL - 3 IS - 6 ER -