Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24341
Title: Impact of Surface Functional Groups and Their Introduction Methods on the Mechanisms of CO2 Adsorption on Porous Carbonaceous Adsorbents
Authors: Petrovic, B
Mikhail, G
Masoudi Soltani, S
Keywords: CO2;adsorbent;carbon;surface modification;functional groups
Issue Date: 26-Mar-2022
Publisher: Elsevier BV on behalf of Institution of Chemical Engineers (IChemE).
Citation: Petrovic, B., Mikhail, G. and Masoudi Soltani, S. (2022) 'Impact of Surface Functional Groups and Their Introduction Methods on the Mechanisms of CO2 Adsorption on Porous Carbonaceous Adsorbents', Carbon Capture Science & Technology, 3, 100045, pp. 1 - 21. doi: 10.1016/j.ccst.2022.100045.
Abstract: Copyright © 2022 The Authors. The utilisation of solid adsorbents for the selective removal of CO2 from major emission points is an attractive method for post-combustion carbon capture due to the inherent potential for retrofit and cost-effectiveness. Although focus in the scientific community is often centred on extremely novel, high-performance and costly material development, the exploitation of carbonaceous adsorbents is another avenue of research proving to be extremely promising. This is even more pronounced when considering the abundance of carbon in various waste streams. The production of carbonaceous adsorbents, however, often requires significant post-treatments to enhance both the textural and physico-chemical properties of the adsorbent, as such, the incorporation of surface functionalities is unavoidable and can often lead to significant improvements to the associated CO2 adsorption. This review aims to critically assess the various routes for surface modification of carbonaceous adsorbents and the implications these may have on the incorporation of surface functional groups. Subsequently, the adsorption mechanisms for CO2 on surface-modified porous carbons are discussed in depth with consideration to the influence of the introduced functionalities. The review concludes with a detailed section on current modelling approaches such as the application of artificial intelligence, Monte Carlo, and Density Functional Theory simulations in this realm of research.
URI: https://bura.brunel.ac.uk/handle/2438/24341
DOI: https://doi.org/10.1016/j.ccst.2022.100045
Other Identifiers: ORCID iD: Salman Masoudi Soltani https://orcid.org/0000-0002-5983-0397
100045
Appears in Collections:Dept of Chemical Engineering Research Papers

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