Preparation, characterization and evaluation of adsorptive properties of orange peel based activated carbon via microwave induced K2CO3 activation.
Identifieur interne : 001216 ( Main/Exploration ); précédent : 001215; suivant : 001217Preparation, characterization and evaluation of adsorptive properties of orange peel based activated carbon via microwave induced K2CO3 activation.
Auteurs : K Y Foo [Malaisie] ; B H HameedSource :
- Bioresource technology [ 1873-2976 ] ; 2012.
English descriptors
- KwdEn :
- Adsorption, Carbonates (chemistry), Carbonates (radiation effects), Charcoal (chemical synthesis), Charcoal (radiation effects), Citrus sinensis (chemistry), Citrus sinensis (radiation effects), Computer Simulation, Feasibility Studies, Fruit (chemistry), Fruit (radiation effects), Kinetics, Microwaves, Models, Chemical, Potassium (chemistry), Potassium (radiation effects), Radiation Dosage.
- MESH :
- chemical , chemical synthesis : Charcoal.
- chemical , chemistry : Carbonates, Potassium.
- chemical , radiation effects : Carbonates, Charcoal, Potassium.
- chemistry : Citrus sinensis, Fruit.
- radiation effects : Citrus sinensis, Fruit.
- Adsorption, Computer Simulation, Feasibility Studies, Kinetics, Microwaves, Models, Chemical, Radiation Dosage.
Abstract
This work explores the feasibility of orange peel, a citrus processing biomass as an alternative precursor for preparation of activated carbon (OPAC) via microwave assisted K(2)CO(3) activation. The operational parameters, chemical impregnation ratio, microwave power and irradiation time on the carbon yield and adsorption capability were investigated. The virgin characteristics of OPAC were examined by pore structural analysis, scanning electron microscopy, Fourier transform infrared spectroscopy, nitrogen adsorption isotherm, elemental analysis, surface acidity/basicity and zeta potential measurement. The optimum conditions resulted in OPAC with a monolayer adsorption capacity of 382.75 mg/g for methylene blue and carbon yield of 80.99%. The BET surface area, Langmuir surface area and total pore volume were identified to be 1104.45 m(2)/g, 1661.04 m(2)/g and 0.615 m(3)/g, respectively. Equilibrium data were simulated using the Langmuir, Freundlich, Dubinin-Radushkevich, Redlich-Peterson, and Toth isotherms, and kinetic data were fitted to the pseudo-first-order, pseudo-second-order and Elovich kinetic models.
DOI: 10.1016/j.biortech.2011.10.005
PubMed: 22101073
Affiliations:
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Le document en format XML
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<series><title level="j">Bioresource technology</title>
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<term>Charcoal (radiation effects)</term>
<term>Citrus sinensis (chemistry)</term>
<term>Citrus sinensis (radiation effects)</term>
<term>Computer Simulation</term>
<term>Feasibility Studies</term>
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<term>Kinetics</term>
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<term>Potassium (chemistry)</term>
<term>Potassium (radiation effects)</term>
<term>Radiation Dosage</term>
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<term>Charcoal</term>
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<term>Computer Simulation</term>
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<front><div type="abstract" xml:lang="en">This work explores the feasibility of orange peel, a citrus processing biomass as an alternative precursor for preparation of activated carbon (OPAC) via microwave assisted K(2)CO(3) activation. The operational parameters, chemical impregnation ratio, microwave power and irradiation time on the carbon yield and adsorption capability were investigated. The virgin characteristics of OPAC were examined by pore structural analysis, scanning electron microscopy, Fourier transform infrared spectroscopy, nitrogen adsorption isotherm, elemental analysis, surface acidity/basicity and zeta potential measurement. The optimum conditions resulted in OPAC with a monolayer adsorption capacity of 382.75 mg/g for methylene blue and carbon yield of 80.99%. The BET surface area, Langmuir surface area and total pore volume were identified to be 1104.45 m(2)/g, 1661.04 m(2)/g and 0.615 m(3)/g, respectively. Equilibrium data were simulated using the Langmuir, Freundlich, Dubinin-Radushkevich, Redlich-Peterson, and Toth isotherms, and kinetic data were fitted to the pseudo-first-order, pseudo-second-order and Elovich kinetic models.</div>
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