Literature DB >> 30138837

Phenol adsorption on biochar prepared from the pine fruit shells: Equilibrium, kinetic and thermodynamics studies.

Noura A S Mohammed1, Rund A Abu-Zurayk1, Imad Hamadneh2, Ammar H Al-Dujaili3.   

Abstract

Biochar samples were prepared from pine fruit shell (PFS) biomass using slow pyrolysis for 1 h at three different temperatures (350, 450 and 550°C). Batch experiments were carried out for the biosorption of phenol onto these biochars. The effect of biosorption experimental parameters such as adsorbent dosage, ionic strength, initial solution pH, contact time and temperatures has been investigated. Experimental equilibrium data were fitted to Langmuir, Freundlich, and Dubinin-Radushkevich (D-R) isotherms by non-linear regression method. The experimental kinetic data were also fitted to Lagergren pseudo-first order, pseudo-second order, Elovich and intraparticle diffusion models by non-linear regression method. Determination coefficient (R2), chi-squared (χ2) and error function (Ferror%) were used to determine the optimum isotherm and kinetic by non-linear regression method. Kinetics results were best described by pseudo-second order model for phenol onto three biochars. Thermodynamic parameters were estimated and implied that the adsorption process is spontaneous and exothermic in nature.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biochar; Biosorption; Phenol; Physico-chemical characterization; Pine fruit shell

Mesh:

Substances:

Year:  2018        PMID: 30138837     DOI: 10.1016/j.jenvman.2018.08.033

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

1.  Lead ferrite-activated carbon magnetic composite for efficient removal of phenol from aqueous solutions: synthesis, characterization, and adsorption studies.

Authors:  Esmaeil Allahkarami; Abolfazl Dehghan Monfared; Luis Felipe Oliveira Silva; Guilherme Luiz Dotto
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

2.  BP-ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System.

Authors:  Yu Mei; Jiaqian Yang; Yin Lu; Feilin Hao; Dongmei Xu; Hua Pan; Jiade Wang
Journal:  Int J Environ Res Public Health       Date:  2019-07-10       Impact factor: 3.390

3.  Production of pine sawdust biochar supporting phosphate-solubilizing bacteria as an alternative bioinoculant in Allium cepa L., culture.

Authors:  Andrea Blanco-Vargas; María A Chacón-Buitrago; María C Quintero-Duque; Raúl A Poutou-Piñales; Lucía A Díaz-Ariza; Carlos A Devia-Castillo; Laura C Castillo-Carvajal; Daniel Toledo-Aranda; Christiano da Conceição de Matos; Wilmar Olaya-González; Oswaldo Ramos-Monroy; Aura M Pedroza-Rodríguez
Journal:  Sci Rep       Date:  2022-07-27       Impact factor: 4.996

  3 in total

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