Applicability of the Gibbs Adsorption Isotherm to the analysis of experimental surface-tension data for ionic and nonionic surfactants

Martínez-Balbuena, L.; Arteaga-Jiménez, Araceli; Hernández-Zapata, E.; Márquez‐Beltrán, César

doi:10.1016/j.cis.2017.07.018

Cited by 74 publications

(49 citation statements)

References 53 publications

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“…A min is the average area occupied by a single surfactant molecule at the air–water interface. It has been reported that Γ max and A min were calculated via the following Gibbs adsorption isotherm eqs 2 and 3 ( 36 ) and are listed in Table 2 where R is the universal gas constant, T is the absolute temperature, dγ/dlog C is the slope of γ versus log C profile in the steeper region, A min is in nm 2 , and N A is the Avogadro’s number. The results in Table 2 reveal that CT-Cu has a high Γ max value compared to CT-Zn and CT-Mn as CT-Cu molecules tend to adsorb on the surface and then form micelles directly at low concentration.…”

Section: Resultsmentioning

confidence: 99%

Corrosion Control of Carbon Steel in Water-Based Mud by Nanosized Metallo-Cationic Surfactant Complexes During Drilling Operations

et al. 2020

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In this work, three nanometal complexes named cetyltrimethyammonium dibromodichloro zincate (CT-Zn), cetyltrimethyammonium dibromodichloro cuprate (CT-Cu), and cetyltrimethyammonium dibromodichloro manganesate (CT-Mn) were prepared, characterized, and evaluated as corrosion inhibitors for carbon steel in water-based mud (WBM). The chemical structure of the prepared complexes was confirmed by the use of Fourier transform infrared spectroscopy, Raman spectroscopy, elemental analysis, atomic absorption spectroscopy, dynamic light scattering, and thermogravimetric analysis techniques. The surface tension of the complexes was measured. The critical micelle concentrations and some of the surface properties were also determined. The compounds were evaluated as corrosion inhibitors for carbon steel in the prepared WBM using potentiodynamic polarization and weight loss methods during the static and dynamic conditions of the drilling operations. The results indicated that the prepared metal complexes showed high anticorrosion action as the inhibition efficiency increased gradually with the increase in the concentrations of the prepared complexes until it reached the maximum value (93.1%) at 300 ppm for CT-Cu. The order of inhibition efficiency of these inhibitors was as follows: CT-Cu > CT-Zn > CT-Mn. The polarization curves showed that these complexes acted as mixed-type inhibitors. According to the results, the adsorption of these compounds obeyed Langmuir adsorption isotherm. Surface analysis of the carbon steel samples was investigated using scanning electron microscopy, energy dispersive X-ray, and X-ray diffraction techniques. Rheological properties, gel strength, thixotropy, and filtration properties were also measured according to American Petroleum Institute specifications.

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Section: Resultsmentioning

confidence: 99%

Corrosion Control of Carbon Steel in Water-Based Mud by Nanosized Metallo-Cationic Surfactant Complexes During Drilling Operations

et al. 2020

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“…Gibbs derived a thermodynamic relationship between the concentration c and the surface excess Γ (adsorption per unit area). At constant temperature T , in the presence of adsorption, the Gibbs adsorption isotherm [ 69,70 ] is

\begin{matrix} Γ = - \frac{c}{R T} \frac{\partial γ}{\partial c} \end{matrix}

where R is the universal gas constant and γ is the surface tension. In a chemical reaction, the surface excess is usually evaluated on the basis of the Langmuir adsorption model, [ 71–73 ] which has the form of

\begin{matrix} Γ = {normalΓ}_{normals} \frac{α c}{1 + α c} \end{matrix}

where Γ s saturated adsorption and α the Langmuir constant.…”

Section: Methodsmentioning

confidence: 99%

Machine Learning‐Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis

Lai

Sun

Saji

et al. 2021

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Crystallographic facets in a crystal carry interior properties and proffer rich functionalities in a wide range of application areas. However, rational prediction, on-demand customization, and accurate synthesis of facets and facet junctions of a crystal are enormously desirable but still challenging. Herein, a framework of machine learning (ML)-aided crystal facet design with ionic liquid controllable synthesis is developed and then demonstrated with the star-material anatase TiO 2. Aided by employing ML to acquire surface energies from facet junction datasource, the relationships between surface energy and growth conditions based on the Langmuir adsorption isotherm are unveiled, enabling to develop controllable facet synthetic strategies. These strategies are successfully verified after applied for synthesizing TiO 2 crystals with custom crystal facets and facet junctions under tuning ionic liquid [bmim][BF 4 ] experimental conditions. Therefore, this innovative framework integrates data-intensive rational design and experimental controllable synthesis to develop and customize crystallographic facets and facet junctions. This proves the feasibility of an intelligent chemistry future to accelerate the discovery of facet-governed functional material candidates.

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“…Equation 20 is an equation of state for the interface. It indicates that the cation exchange is driven by the reduction of interfacial tension, which is commonly observed for the adsorption of surfactants to the liquid-gas interface [21][22][23].…”

Section: Equation Of State For the Interfacementioning

confidence: 99%

Freundlich interpretation of pH control and ion specificity in zeolite cation exchange

2020

SN Appl. Sci.

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Zeolites are microporous metal aluminosilicates widely used to remove heavy metal cations from contaminated waters through ion exchange. Experimental observations have shown that the cation exchange capacities of zeolites can be well described by the Freundlich isotherm with fitting parameters regulated by solution pH and ion specificity; however, quantitative relationships have not been established, indicating a lack of understanding for the underlying mechanisms of zeolite cation exchange. Here, we present a novel physical model to relate proton concentration and ion energetics to the Freundlich parameters and thus elucidate the underlying mechanisms of pH control and ion specificity. The physical model is developed by considering capillarity in zeolite cation exchange, instead of the homogeneous equilibrium that has previously used to understand cation exchange, which leads to the Freundlich isotherm, instead of the Langmuir isotherm often used in data analysis. Using the Freundlich power and equilibrium constant, we further show that the pH dependence of cation exchange capacity can be quantitatively explained by the change of proton chemical potential. At pH 7 under which proton does not significantly affect the cation exchange, the comparison of Freundlich power and equilibrium constant among different metal cations reveals grouping according to their electronic structures.

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Applicability of the Gibbs Adsorption Isotherm to the analysis of experimental surface-tension data for ionic and nonionic surfactants

Cited by 74 publications

References 53 publications

Corrosion Control of Carbon Steel in Water-Based Mud by Nanosized Metallo-Cationic Surfactant Complexes During Drilling Operations

Corrosion Control of Carbon Steel in Water-Based Mud by Nanosized Metallo-Cationic Surfactant Complexes During Drilling Operations

Machine Learning‐Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis

Freundlich interpretation of pH control and ion specificity in zeolite cation exchange

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