Arsenic adsorption from aqueous solution using graphene oxide-sodium silicate nanocomposite modified by silver nanoparticles: process modeling by response surface methodology (RSM)

Purpose This study aims to investigate the efficacy of Ag@GO/Na 2 SiO 3 nanocomposite in eliminating As from aqueous solutions. Employing response surface methodology, the research systematically examines the adsorption process. Design/methodology/approach Various experimental parameters including sample pH, contact time, As concentration and adsorbent dosage are optimized to enhance the As removal process. Findings Under optimized conditions, the initial As concentration, contact time, pH and adsorbent dosage are determined to be 32 ppm, 50 mins, 6.5 and 0.4 grams, respectively. While the projected removal of As stands at 97.6% under these conditions, practical application achieves a 93% removal rate. Pareto analysis identifies the order of significance among factors as follows: adsorbent dosage > contact time > pH > As concentration. Practical implications This study highlights the potential Ag@GO/Na 2 SiO 3 as a promising adsorbent for efficiently removing industrial As from aqueous solutions, and it is likely to have a good sufficiency in the filtration of water and wastewater treatment plans to remove some chemical pollution, including paints and heavy metals. Originality/value The simplicity of the nanocomposite preparation method without the need for advanced equipment and the cheapness of the raw materials and its potential ability to remove As are the prominent advantages of this research.

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Publication Details

Journal
Pigment & Resin Technology
Published
2024-08-09
DOI
https://doi.org/10.1108/prt-03-2024-0036
Primary Topic
Arsenic contamination and mitigation
Type
article
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article

Arsenic adsorption from aqueous solution using graphene oxide-sodium silicate nanocomposite modified by silver nanoparticles: process modeling by response surface methodology (RSM)

Ebrahim Ghorbani‐Kalhor, Jafar Abolhasani, Khalil Farhadi, Ali Hassanzadeh
Pigment & Resin Technology
Arsenic contamination and mitigation
article

Arsenic adsorption from aqueous solution using graphene oxide-sodium silicate nanocomposite modified by silver nanoparticles: process modeling by response surface methodology (RSM)

Ebrahim Ghorbani‐Kalhor, Jafar Abolhasani, Khalil Farhadi, Ali Hassanzadeh
article en

Abstract

Purpose This study aims to investigate the efficacy of Ag@GO/Na 2 SiO 3 nanocomposite in eliminating As from aqueous solutions. Employing response surface methodology, the research systematically examines the adsorption process. Design/methodology/approach Various experimental parameters including sample pH, contact time, As concentration and adsorbent dosage are optimized to enhance the As removal process. Findings Under optimized conditions, the initial As concentration, contact time, pH and adsorbent dosage are determined to be 32 ppm, 50 mins, 6.5 and 0.4 grams, respectively. While the projected removal of As stands at 97.6% under these conditions, practical application achieves a 93% removal rate. Pareto analysis identifies the order of significance among factors as follows: adsorbent dosage > contact time > pH > As concentration. Practical implications This study highlights the potential Ag@GO/Na 2 SiO 3 as a promising adsorbent for efficiently removing industrial As from aqueous solutions, and it is likely to have a good sufficiency in the filtration of water and wastewater treatment plans to remove some chemical pollution, including paints and heavy metals. Originality/value The simplicity of the nanocomposite preparation method without the need for advanced equipment and the cheapness of the raw materials and its potential ability to remove As are the prominent advantages of this research.

Pigment & Resin TechnologyVol. 54(5)
Islamic Azad University of Tabriz (IR), Urmia University (IR)
Clean water and sanitation
Openalex Percentile: Top 89%
Arsenic contamination and mitigation
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Arsenic adsorption from aqueous solution using graphene oxide-sodium silicate nanocomposite modified by silver nanoparticles: process modeling by response surface methodology (RSM) — Ebrahim Ghorbani‐Kalhor, Jafar Abolhasani, et al. · Pigment & Resin Technology (2024) | TGRS Research Map | TGRS