Adsorption kinetics and mechanisms of nano chitosan coated cotton fiber for the removal of heavy metals from industrial effluents

The present study successfully removed heavy metals from industrial effluent using nanochitosan-coated cotton fiber (NCCF) crosslinked with citric acid, demonstrating the potential of advanced technologies in removing heavy metals from large amounts of wastewater caused by the world's unchecked population growth and widespread industrialization that has caused pollution. Structural, morphological, and thermal properties of NCCF were determined. Results revealed that the nanochitosan component improves the adsorption capacity of cotton fiber (CF) through the increased surface area and porosity of NCCF. Sorption studies were conducted based on pH, kinetics, isotherms, and desorption results. The Langmuir and Freundlich adsorption isotherms were utilized to examine the CF and NCCF adsorption mechanisms. NCCF exhibited maximum Langmuir adsorption capacities of 4.76 mmol/g for Cd<sup>2+</sup>, 6.40 mmol/g for Pb<sup>2+</sup>, and 12.50 mmol/g for Cr<sup>6+</sup>. Kinetic studies revealed that the pseudo-first-order kinetics model best describes the adsorption process. The results of the adsorption kinetics study showed that NCCF has a shorter half-time of adsorption than CF does during the adsorption process. This suggests that NCCF has a greater initial adsorption rate and adsorption capacity than CF. These findings are expected to lead to industrial applications in wastewater treatment as sustainable and highly effective materials.

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Publication Details

Journal
Heliyon
Published
2025-02-01
DOI
https://doi.org/10.1016/j.heliyon.2025.e42932
Citations
7
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
5.72
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article

Adsorption kinetics and mechanisms of nano chitosan coated cotton fiber for the removal of heavy metals from industrial effluents

Md. Hasinur Rahman, Md. Aminur Rahman, Mohammad Marufuzzaman, Md. Ibrahim H. Mondal
7 citations
Heliyon
Adsorption and biosorption for pollutant removal
5.72
article

Adsorption kinetics and mechanisms of nano chitosan coated cotton fiber for the removal of heavy metals from industrial effluents

Md. Hasinur Rahman, Md. Aminur Rahman, Mohammad Marufuzzaman, Md. Ibrahim H. Mondal
article en
7 citations

Abstract

The present study successfully removed heavy metals from industrial effluent using nanochitosan-coated cotton fiber (NCCF) crosslinked with citric acid, demonstrating the potential of advanced technologies in removing heavy metals from large amounts of wastewater caused by the world's unchecked population growth and widespread industrialization that has caused pollution. Structural, morphological, and thermal properties of NCCF were determined. Results revealed that the nanochitosan component improves the adsorption capacity of cotton fiber (CF) through the increased surface area and porosity of NCCF. Sorption studies were conducted based on pH, kinetics, isotherms, and desorption results. The Langmuir and Freundlich adsorption isotherms were utilized to examine the CF and NCCF adsorption mechanisms. NCCF exhibited maximum Langmuir adsorption capacities of 4.76 mmol/g for Cd<sup>2+</sup>, 6.40 mmol/g for Pb<sup>2+</sup>, and 12.50 mmol/g for Cr<sup>6+</sup>. Kinetic studies revealed that the pseudo-first-order kinetics model best describes the adsorption process. The results of the adsorption kinetics study showed that NCCF has a shorter half-time of adsorption than CF does during the adsorption process. This suggests that NCCF has a greater initial adsorption rate and adsorption capacity than CF. These findings are expected to lead to industrial applications in wastewater treatment as sustainable and highly effective materials.

HeliyonVol. 11(4)
Khulna University of Engineering and Technology (BD), Bangladesh Council of Scientific and Industrial Research (BD), University of Rajshahi (BD)
Clean water and sanitation
Openalex Percentile: Top 5%
Adsorption and biosorption for pollutant removal
5.72
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