Removal of Mn(II), Cd(II) and Ni(II) metal ions from aqueous solutions using modified chitosan by simple method

The adsorption capacities of modified chitosan towards Cd(II), Mn(II) and Ni(II) ions removal were examined. It verify the development of new groups, the modified chitosan characterized by X-ray, thermogravimetric analysis, field-emission (SEM), and IR. Variables including the impacts of pH, the dose of adsorbent, time, concentration and the temperature were used to examine the adsorption and kinetics studies of the process. The pseudo-second-order made well sense in the kinetic results. Removal effectiveness was found to rise with increasing time, temperature, and pH from 3 to 8 but decrease with increasing initial ions concentration and dose. Of these, the highest percentages of Cd(II), Mn(II) and Ni (II) removal were 67.15, 70.44, and 74.02%, respectively. An analysis of the isothermal properties was highly consistent with Langmuir's isotherm. D-R, Freundlich, and Langmuir models, the maximum uptake yields and isotherm parameter values were determined. Physical adsorption method was demonstrated by the relatively low average values of the energy of adsorption (1.48–2.26 kJ/mol). It was established that the thermodynamic parameters were endothermic (positive ∆H°) and spontaneous (negative ∆G°).

Authors

Institutions

Publication Details

Journal
Journal of Basic and Environmental Sciences
Published
2024-10-01
DOI
https://doi.org/10.21608/jbes.2024.395468
Citations
1
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Removal of Mn(II), Cd(II) and Ni(II) metal ions from aqueous solutions using modified chitosan by simple method

Hossam S. Jahin, Alaa S. Amin, Islam M. I. Moustafa, Noha T. Abo El-nassr et al.
1 citations
Journal of Basic and Environmental Sciences
Water Quality Monitoring and Analysis
0.29
article

Removal of Mn(II), Cd(II) and Ni(II) metal ions from aqueous solutions using modified chitosan by simple method

Hossam S. Jahin, Alaa S. Amin, Islam M. I. Moustafa, Noha T. Abo El-nassr, Mohammed H. H. Abu-Setta, Abdou S. El-Tabl
article en
1 citations

Abstract

The adsorption capacities of modified chitosan towards Cd(II), Mn(II) and Ni(II) ions removal were examined. It verify the development of new groups, the modified chitosan characterized by X-ray, thermogravimetric analysis, field-emission (SEM), and IR. Variables including the impacts of pH, the dose of adsorbent, time, concentration and the temperature were used to examine the adsorption and kinetics studies of the process. The pseudo-second-order made well sense in the kinetic results. Removal effectiveness was found to rise with increasing time, temperature, and pH from 3 to 8 but decrease with increasing initial ions concentration and dose. Of these, the highest percentages of Cd(II), Mn(II) and Ni (II) removal were 67.15, 70.44, and 74.02%, respectively. An analysis of the isothermal properties was highly consistent with Langmuir's isotherm. D-R, Freundlich, and Langmuir models, the maximum uptake yields and isotherm parameter values were determined. Physical adsorption method was demonstrated by the relatively low average values of the energy of adsorption (1.48–2.26 kJ/mol). It was established that the thermodynamic parameters were endothermic (positive ∆H°) and spontaneous (negative ∆G°).

Journal of Basic and Environmental SciencesVol. 11(4)
Benha University (EG), National Water Research Center (EG)
Clean water and sanitation
Openalex Percentile: Top 36%
Water Quality Monitoring and Analysis
0.29
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.