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      Enhancing the CO2, CH4, and N2 adsorption and kinetic performance on FAU zeolites for CO2 capture from flue gas by metal incorporation technique

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      Chemical Engineering Journal
      Elsevier BV

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          Thermodynamics of mixed-gas adsorption

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            Is Open Access

            Surfactant Adsorption Isotherms: A Review

            The need to minimize surfactant adsorption on rock surfaces has been a challenge for surfactant-based, chemical-enhanced oil recovery (cEOR) techniques. Modeling of adsorption experimental data is very useful in estimating the extent of adsorption and, hence, optimizing the process. This paper presents a mini-review of surfactant adsorption isotherms, focusing on theories of adsorption and the most frequently used adsorption isotherm models. Two-step and four-region adsorption theories are well-known, with the former representing adsorption in two steps, while the latter distinguishes four regions in the adsorption isotherm. Langmuir and Freundlich are two-parameter adsorption isotherms that are widely used in cEOR studies. The Langmuir isotherm is applied to monolayer adsorption on homogeneous sites, whereas the Freundlich isotherm suites are applied to multilayer adsorption on heterogeneous sites. Some more complex adsorption isotherms are also discussed in this paper, such as Redlich–Peterson and Sips isotherms, both involve three parameters. This paper will help select and apply a suitable adsorption isotherm to experimental data.
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              CO2 adsorption in Y and X zeolites modified by alkali metal cation exchange

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Chemical Engineering Journal
                Chemical Engineering Journal
                Elsevier BV
                13858947
                July 2023
                July 2023
                : 468
                : 143719
                Article
                10.1016/j.cej.2023.143719
                8aa64f83-65c3-45d8-aaa1-c3c72b591c10
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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