Literature DB >> 28735499

An evaluation of the reliability of the characterization of the porous structure of activated carbons based on incomplete nitrogen adsorption isotherms.

Mirosław Kwiatkowski1, Bassim H Hameed2.   

Abstract

The paper presents the results of research devoted to reliability evaluation of the analysis of results of the porous structure of activated carbons based on incomplete nitrogen adsorption isotherms using the BET, t-plot, and NLDFT methods, as well as the LBET method comprising the unique numerical fast multivariant procedure of adsorption system identification. The research involved the application of the nitrogen adsorption isotherms obtained for five samples of activated carbons produced from waste materials of organic origin by way of chemical activation with potassium hydroxide, sodium hydroxide, and potassium carbonate with the use of microwave heating. The analyses performed pointed to a good correlation between the results obtained using the BET, t-plot, NLDFT, and LBET methods. Moreover, the parameters of the porous structure determined using these methods based on incomplete adsorption isotherms of nitrogen are in fact as reliable as these methods allow.

Entities:  

Keywords:  Activated carbon; Adsorption; Characterization; Microporous structure

Year:  2017        PMID: 28735499     DOI: 10.1007/s00894-017-3402-0

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  10 in total

1.  Mesoporous activated carbon from wood sawdust by K2CO3 activation using microwave heating.

Authors:  K Y Foo; B H Hameed
Journal:  Bioresour Technol       Date:  2012-02-02       Impact factor: 9.642

2.  Computer modeling and analysis of heterogeneous structures of microporous carbonaceous materials.

Authors:  Jan T Duda; Mirosław Kwiatkowski; Janina Milewska-Duda
Journal:  J Mol Model       Date:  2005-07-09       Impact factor: 1.810

3.  Density functional theory model of adsorption on amorphous and microporous silica materials.

Authors:  Peter I Ravikovitch; Alexander V Neimark
Journal:  Langmuir       Date:  2006-12-19       Impact factor: 3.882

4.  Computer analysis of microporous structure by employing the LBET class models with various variants of the adsorption energy distribution in comparison to the classical equations.

Authors:  Mirosław Kwiatkowski
Journal:  Langmuir       Date:  2007-02-27       Impact factor: 3.882

5.  Computer analyses of new numerical methods for the description of adsorption process and the reliability of identification of microporous structure parameters.

Authors:  Mirosław Kwiatkowski
Journal:  J Mol Model       Date:  2008-01-25       Impact factor: 1.810

6.  Use of fast multivariant identification of the parameters of adsorption systems to study the impact of activating agent on microporous structure formation during activation.

Authors:  Mirosław Kwiatkowski
Journal:  J Colloid Interface Sci       Date:  2009-07-24       Impact factor: 8.128

7.  Numerical studies of the effects of process conditions on the development of the porous structure of adsorbents prepared by chemical activation of lignin with alkali hydroxides.

Authors:  Mirosław Kwiatkowski; Vanessa Fierro; Alain Celzard
Journal:  J Colloid Interface Sci       Date:  2016-10-04       Impact factor: 8.128

8.  Preparation, characterization and evaluation of adsorptive properties of orange peel based activated carbon via microwave induced K2CO3 activation.

Authors:  K Y Foo; B H Hameed
Journal:  Bioresour Technol       Date:  2011-10-08       Impact factor: 9.642

9.  Potential of jackfruit peel as precursor for activated carbon prepared by microwave induced NaOH activation.

Authors:  K Y Foo; B H Hameed
Journal:  Bioresour Technol       Date:  2012-02-08       Impact factor: 9.642

10.  Preparation of high surface area activated carbon from coconut shells using microwave heating.

Authors:  Kunbin Yang; Jinhui Peng; C Srinivasakannan; Libo Zhang; Hongying Xia; Xinhui Duan
Journal:  Bioresour Technol       Date:  2010-03-19       Impact factor: 9.642

  10 in total

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