Application of eco-friendly material as an inexpensive adsorbent for methyl violet dye removal: experimental, response surface methodology and statistical physics

Methyl Violet (MV) removal from aqueous solutions is studied using an Algerian Bentonite sample as a low-cost adsorbent. SEM-EDX, X-ray diffraction, and chemical composition characterized the adsorbent material. The modeling and optimization study of MV adsorption using artificial neural network (ANN) and response surface methodology (RSM) were also examined. The effects of pH, contact time, dye concentration, and temperature are all considered. The adsorption kinetics results are adjusted to best fit the pseudo-second-order model. Langmuir-Freundlich and Langmuir models well describe the experimental data with an adsorption capacity of 472 mg g<sup>−1</sup>. The calculated thermodynamic data demonstrates that adsorption is spontaneous and endothermic. Desorption studies with methanol indicate that the adsorbent could successfully retain MV, even after five cycles. The statistical physics theory indicates the non-parallel orientation of the MV molecule’s adsorption. The adsorption energies varied from 13.99 to 17.60 kJ mol<sup>−1</sup>, revealing the physical adsorption systems. From these results, it can be considered that the raw Algerian bentonite sample tested herein is effective in removing MV from aqueous solutions and may be used as an alternative to high-cost commercial adsorbents.

Authors

Institutions

Publication Details

Journal
Journal of Dispersion Science and Technology
Published
2024-12-04
DOI
https://doi.org/10.1080/01932691.2024.2432982
Citations
6
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of eco-friendly material as an inexpensive adsorbent for methyl violet dye removal: experimental, response surface methodology and statistical physics

Assia Benhouria, Mohammed Amin Bezzekhami, Fatima Bendahma, Amine Khelifa et al.
6 citations
Journal of Dispersion Science and Technology
Adsorption and biosorption for pollutant removal
1.21
article

Application of eco-friendly material as an inexpensive adsorbent for methyl violet dye removal: experimental, response surface methodology and statistical physics

Assia Benhouria, Mohammed Amin Bezzekhami, Fatima Bendahma, Amine Khelifa, Bahia Benalioua, Fatiha Bessaha, Gania Bessaha
article en
6 citations

Abstract

Methyl Violet (MV) removal from aqueous solutions is studied using an Algerian Bentonite sample as a low-cost adsorbent. SEM-EDX, X-ray diffraction, and chemical composition characterized the adsorbent material. The modeling and optimization study of MV adsorption using artificial neural network (ANN) and response surface methodology (RSM) were also examined. The effects of pH, contact time, dye concentration, and temperature are all considered. The adsorption kinetics results are adjusted to best fit the pseudo-second-order model. Langmuir-Freundlich and Langmuir models well describe the experimental data with an adsorption capacity of 472 mg g<sup>−1</sup>. The calculated thermodynamic data demonstrates that adsorption is spontaneous and endothermic. Desorption studies with methanol indicate that the adsorbent could successfully retain MV, even after five cycles. The statistical physics theory indicates the non-parallel orientation of the MV molecule’s adsorption. The adsorption energies varied from 13.99 to 17.60 kJ mol<sup>−1</sup>, revealing the physical adsorption systems. From these results, it can be considered that the raw Algerian bentonite sample tested herein is effective in removing MV from aqueous solutions and may be used as an alternative to high-cost commercial adsorbents.

Journal of Dispersion Science and Technology
Université de Mostaganem (DZ)
Openalex Percentile: Top 22%
Adsorption and biosorption for pollutant removal
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.