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Cited by 1,160

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Experimental methods in chemical engineering: specific surface area and pore size distribution measurements—BET, BJH, and DFT

Bardestani, Raoof, Patience, Gregory S., Kaliaguine, Serge·2019·The Canadian Journal of Chemical Engineering

Abstract

Gas physisorption is an experimental technique based on equilibrium Van der Waals interactions between gas molecules and solid particles, that quantifies the specific surface area (SSA), pore size distribution (PSD), and pore volume of solids and powders. The performance of catalysts, absorbents, chromatography column materials, and polymer resins depends on these morphological properties. Here we introduce the basic principles and procedures of physical adsorption, especially nitrogen physisorption, as a guide to students and researchers unfamiliar with the field. The Brunauer‐Emmett‐Teller theory (BET) is a common approach to estimate SSA that extends the Langmuir monolayer molecular adsorption model to multilayer layers. It relies on an equilibrium adsorption isotherm, measured at the normal boiling point of the adsorbate, eg, 77 K or 87 K for N 2 and Ar, respectively. Web of Science indexed 45 400 articles in 2016 and 2017 that mentioned N 2 adsorption porosimetry—BET and BJH (Barrett‐Joyner‐Halenda) keywords. The VOSViewer bibliometric tool grouped these articles into four research clusters: adsorption, activated carbon in aqueous solutions for removal of heavy metal ions; synthesis of nanoparticles and composites; catalysts performance in oxidation and reduction processes; and photocatalytic degradation with TiO 2. According to the literature, the accuracy of the density function theory (DFT) method is higher than with the BJH theory and it is more reliable.

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Metadata

Authors
Bardestani, R., Patience, G. S., & Kaliaguine, S.
Venue
The Canadian Journal of Chemical Engineering
Publisher
Wiley
Published
2019-09-25
Volume
97
Issue
11
Pages
2781-2791
ISSN
  • 0008-4034 (ISSN-L)
  • 1939-019X
OpenAlex
W2969655219
Cited by
1,160
References
46
FWCI
23.86
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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