Competitive adsorption of heavy metals in a quaternary solution by sugarcane bagasse – LDPE hybrid biochar: equilibrium isotherm and kinetics modelling
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Joshua O. Ighalo
, Samuel Ogunniyi
Abstract
Sugarcane is a notable crop grown in the tropical region of the world. It is an abundant waste material of the sugar industry which is a low cost and low combustion fuel thus the bagasse can be exploited to manufacture adsorbents for water treatment. Because the presence of contaminants in polluted water is not uniform, pollutant species compete for active sites during the adsorption process. Investigation of the competitive adsorption of Zn(II), Cu(II), Pb(II), and Fe(II) in a quaternary solution using hybrid biochar developed from sugarcane bagasse (SCB) mixed Low-Density Polyethylene (LDPE) and pure SCB biochar is the main aim of this study. The biochar was developed using the retort carbonisation process and characterised via SEM (Scanning Electron Microscopy), BET (Branueur Emmett Teller) analysis, and FTIR (Fourier Transform Infrared Spectroscopy). Both biochar species mixture possessed some orbicular properties with mesoporous heterogeneous superficial morphology. The biomass biochar and hybrid biochar specific surface area are 533.6 m2/g and 510.5 m2/g respectively. For the two used adsorbents, >99% removal efficiency was recorded over the sphere for dosage investigation. Thus, this implies they are capable of removing heavy metals from the aqueous solution simulated. The Langmuir isotherm fitted best in each domain however there was an exception for Pb(II) ions in biomass biochar with the experimental adsorption capacity of ∼ 22 mg/g for the HMs. Based on the correlation coefficient (R 2); the experimental data fitted the pseudo-first-order kinetic model well having a correlation coefficient value of greater than 0.9. The mechanism of adsorption for the HMs was chemisorption. This study has a three-pronged benefit of water treatment, resource conservation, and solid waste utilisation.
Acknowledgement
The authors would love to acknowledge all authors whose works were cited in this paper.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: No specific grant was received for this research from funding agencies in the public, commercial, or non-for-profit sectors.
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Conflict of interest statement: The authors affirm that there are no conflicts of interest in this research work.
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Data availability: The raw data for this research are available by contacting the corresponding authors.
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- Research Articles
- Experimental and simulation assessment to mitigate the emission of sulfide toxic gases and removing main impurities from Zn + Pb + Cu recovery plants
- Dynamic behavior of CO2 adsorption from CH4 mixture in a packed bed of SAPO-34 by CFD-based modeling
- Competitive adsorption of heavy metals in a quaternary solution by sugarcane bagasse – LDPE hybrid biochar: equilibrium isotherm and kinetics modelling
- Estimation of 2,4-dichlorophenol photocatalytic removal using different artificial intelligence approaches
- Design of a new synthetic nanocatalyst resulting high fuel quality based on multiple supports: experimental investigation and modeling
- Numerical study on thermal-hydraulic characteristics of flattened microfin tubes
- Development of binary models for prediction and optimization of nutritional values of enriched kokoro: a case of response surface methodology (RSM) and artificial neural network (ANN)
- A mathematical model for the activated sludge process with a sludge disintegration unit
- Process design and economic assessment of large-scale production of molybdenum disulfide nanomaterials
- Review
- Modified optimal series cascade control for non-minimum phase system
Articles in the same Issue
- Frontmatter
- Research Articles
- Experimental and simulation assessment to mitigate the emission of sulfide toxic gases and removing main impurities from Zn + Pb + Cu recovery plants
- Dynamic behavior of CO2 adsorption from CH4 mixture in a packed bed of SAPO-34 by CFD-based modeling
- Competitive adsorption of heavy metals in a quaternary solution by sugarcane bagasse – LDPE hybrid biochar: equilibrium isotherm and kinetics modelling
- Estimation of 2,4-dichlorophenol photocatalytic removal using different artificial intelligence approaches
- Design of a new synthetic nanocatalyst resulting high fuel quality based on multiple supports: experimental investigation and modeling
- Numerical study on thermal-hydraulic characteristics of flattened microfin tubes
- Development of binary models for prediction and optimization of nutritional values of enriched kokoro: a case of response surface methodology (RSM) and artificial neural network (ANN)
- A mathematical model for the activated sludge process with a sludge disintegration unit
- Process design and economic assessment of large-scale production of molybdenum disulfide nanomaterials
- Review
- Modified optimal series cascade control for non-minimum phase system