Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon

Granular activated carbon (GAC) was investigated as an effective adsorbent for the adsorption of glyphosate herbicide from the river water matrix. Six physiochemical factors were screened using a Plackett-Burman fractional factorial design to identify the most important variables in the glyphosate a...

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Main Authors: Hartinie Marbawi, Mohd Yunus Abd. Shukor, Jualang Azlan Gansau, Ahmad Razi Othman, Mohd Izuan Efendi Halmi, Nur Adeela Yasid
Format: Proceedings
Language:English
English
Published: Faculty of Science and Natural Resources 2023
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Online Access:https://eprints.ums.edu.my/id/eprint/39234/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/39234/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/39234/
https://www.ums.edu.my/fssa/index.php/research/conference-publication
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spelling my.ums.eprints.392342024-07-26T01:20:12Z https://eprints.ums.edu.my/id/eprint/39234/ Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon Hartinie Marbawi Mohd Yunus Abd. Shukor Jualang Azlan Gansau Ahmad Razi Othman Mohd Izuan Efendi Halmi Nur Adeela Yasid Q1-390 Science (General) TP200-248 Chemicals: Manufacture, use, etc. Granular activated carbon (GAC) was investigated as an effective adsorbent for the adsorption of glyphosate herbicide from the river water matrix. Six physiochemical factors were screened using a Plackett-Burman fractional factorial design to identify the most important variables in the glyphosate adsorption process.Subsequently, the synergistic effects between the four independent variables studied including the pH of glyphosate solution (4.0 –8.0), adsorbent dose (0.1–0.5 g.L⁻¹), initial glyphosate concentration (30 –150 mg L⁻¹) and agitation speed (0-100 rpm) on the glyphosate removal efficiency (%) were statistically optimized according to the Box-Behnken approach. Quadratic model was considered to be the best fit with a maximum R2 value of 0.9650 and provides an ideal relationship between the variables and response. An analysis of variance (ANOVA) further confirms the validity of the suggested model. The optimal factors for 95.11 ± 0.77% glyphosate removal were predicted to be a pH solution of 4.00, glyphosate initial concentration of 48.47 mg.L⁻¹ , 0.1g.L⁻¹ GAC and without agitation. The findings showed that the Box-Behnken-based optimization using response surface methodology is a helpful tool for determining the best adsorption conditions and the method can also be customised for glyphosate treatment in natural water or actual wastewater. Faculty of Science and Natural Resources 2023 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/39234/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/39234/2/FULL%20TEXT.pdf Hartinie Marbawi and Mohd Yunus Abd. Shukor and Jualang Azlan Gansau and Ahmad Razi Othman and Mohd Izuan Efendi Halmi and Nur Adeela Yasid (2023) Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon. https://www.ums.edu.my/fssa/index.php/research/conference-publication
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic Q1-390 Science (General)
TP200-248 Chemicals: Manufacture, use, etc.
spellingShingle Q1-390 Science (General)
TP200-248 Chemicals: Manufacture, use, etc.
Hartinie Marbawi
Mohd Yunus Abd. Shukor
Jualang Azlan Gansau
Ahmad Razi Othman
Mohd Izuan Efendi Halmi
Nur Adeela Yasid
Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon
description Granular activated carbon (GAC) was investigated as an effective adsorbent for the adsorption of glyphosate herbicide from the river water matrix. Six physiochemical factors were screened using a Plackett-Burman fractional factorial design to identify the most important variables in the glyphosate adsorption process.Subsequently, the synergistic effects between the four independent variables studied including the pH of glyphosate solution (4.0 –8.0), adsorbent dose (0.1–0.5 g.L⁻¹), initial glyphosate concentration (30 –150 mg L⁻¹) and agitation speed (0-100 rpm) on the glyphosate removal efficiency (%) were statistically optimized according to the Box-Behnken approach. Quadratic model was considered to be the best fit with a maximum R2 value of 0.9650 and provides an ideal relationship between the variables and response. An analysis of variance (ANOVA) further confirms the validity of the suggested model. The optimal factors for 95.11 ± 0.77% glyphosate removal were predicted to be a pH solution of 4.00, glyphosate initial concentration of 48.47 mg.L⁻¹ , 0.1g.L⁻¹ GAC and without agitation. The findings showed that the Box-Behnken-based optimization using response surface methodology is a helpful tool for determining the best adsorption conditions and the method can also be customised for glyphosate treatment in natural water or actual wastewater.
format Proceedings
author Hartinie Marbawi
Mohd Yunus Abd. Shukor
Jualang Azlan Gansau
Ahmad Razi Othman
Mohd Izuan Efendi Halmi
Nur Adeela Yasid
author_facet Hartinie Marbawi
Mohd Yunus Abd. Shukor
Jualang Azlan Gansau
Ahmad Razi Othman
Mohd Izuan Efendi Halmi
Nur Adeela Yasid
author_sort Hartinie Marbawi
title Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon
title_short Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon
title_full Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon
title_fullStr Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon
title_full_unstemmed Optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon
title_sort optimization of adsorption conditions using response surface methodology for glyphosate removal from river water matrices by granular activated carbon
publisher Faculty of Science and Natural Resources
publishDate 2023
url https://eprints.ums.edu.my/id/eprint/39234/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/39234/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/39234/
https://www.ums.edu.my/fssa/index.php/research/conference-publication
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score 13.18916