| Literature DB >> 34901587 |
Shams Kalam1, Sidqi A Abu-Khamsin1, Muhammad Shahzad Kamal2, Shirish Patil1.
Abstract
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.Entities:
Year: 2021 PMID: 34901587 PMCID: PMC8655760 DOI: 10.1021/acsomega.1c04661
Source DB: PubMed Journal: ACS Omega ISSN: 2470-1343
Figure 1Surfactant adsorption mechanism.
Figure 2Surfactant aggregates: (a) hemimicelle, (b) admicelle, (c) micelle. Reprinted with permission from ref (3). Copyright 2010 Elsevier.
Figure 3L-, S-, and LS-shape adsorption isotherms. Γ and Γ∞ are adsorption and maximum adsorption, respectively, and C is the concentration. Reprinted with permission from ref (6). Copyright 1991 Elsevier.
Figure 4Cartoon of a typical surfactant adsorption isotherm. Reprinted with permission from ref (15). Copyright 2005 Taylor & Francis Inc.
Summary of Adsorption Isotherms
| axes | ||||||||
|---|---|---|---|---|---|---|---|---|
| S no. | adsorption isotherm | number of parameters | ordinate | abscissa | slope | intercept | summary | ref |
| 1 | Henry | 1 | the simplest adsorption isotherm; assumes a linear relationship between adsorbed amount and adsorbate bulk concentration | Ruthven, 1984;[ | ||||
| applicable for low solute concentrations only | ||||||||
| 2 | Langmuir | 2 | 1/ | monolayer adsorption | Langmuir, 1916[ | |||
| homogeneous solid surfaces | ||||||||
| 3 | Freundlich | 2 | ln | ln | 1/ | ln | applicable for multilayer adsorption | Foo and Hameed, 2010;[ |
| suitable for heterogeneous surfaces | Al-Ghouti and Da’ana[ | |||||||
| not valid for a large range of adsorption data | ||||||||
| 4 | Temkin | 2 | ln | considers interaction between adsorbent and the adsorbate | Foo and Hameed, 2010[ | |||
| with increase in surface coverage, the heat of adsorption of all molecules in the layer is decreases linearly instead of logarithmically | ||||||||
| 5 | Elovich | 2 | –1/ | adsorption sites increase exponentially with the adsorption | Elovich and Larinov, 1962[ | |||
| based on kinetic principles and considers multilayer adsorption | ||||||||
| 6 | Redlich–Peterson | 3 | β | is a hybrid model, i.e., can be applied to homogeneous and heterogeneous systems | Saadi et al., 2015;[ | |||
| applicable over a large range of adsorbate concentration | ||||||||
| 7 | Sips | 3 | βs ln | predicts the heterogeneity of the adsorption systems | Foo and Hameed, 2010;[ | |||
| overcomes limitations associated with the increased concentrations of the adsorbate in Freundlich model | Al-Ghouti and Da’ana[ | |||||||
| Belhaj et al., 2021[ | ||||||||