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Modeling Surface Adsorption

Thermodynamics, as normally defined and as presented in Chapter 3, contains no reference to surfaces. Phases, such as clay minerals and water, are assumed to exist and to equilibrate, based on their bulk properties only. However, in reality, phases interact with each other along interfaces or surfaces, the properties of which are necessarily different from the bulk properties of the phases. [Pg.133]

On the surfaces of a phase, the normal environment of each atom is changed, and the atoms are forced to interact with atoms of a different sort, provided by the adjacent phase. In most solids and liquids, bonding is effected by electrical effects-electron transfer, electron sharing, polarization effects, and so on. In the middle of a phase there is a net charge balance, but this is disrupted at surfaces, where the three-dimensional structure is broken. Surfaces are zones where atoms are left with unsatisfied bonds, and therefore surfaces are electrically charged. These charges are accommodated somehow by the adjacent phase, and the case of most interest to geochemical modelers is the case in which one phase is a solid, and the other is water. [Pg.133]


For modeling surface adsorption using the surface complexation theory, we need properties of the surfaces as well as complexation constants for the sorbant. Surface properties include site density, surface areas, and molecular formula weight. If we use the triple layer model, capacitance data are also needed see Chapter 7 for more details. [Pg.101]

Doyle et al. (1994) used the triple layer model of Davis et al. (1978) to model surface adsorption of arsenic onto amorphous ferric oxides. Copper smelting has produced... [Pg.155]

Figure 10.6. Breakthrough curves for sulfate at the 200th cell from (a) the coupled reactive transport model (surface adsorption reactions are added) and (b) the d-based model. Figure 10.6. Breakthrough curves for sulfate at the 200th cell from (a) the coupled reactive transport model (surface adsorption reactions are added) and (b) the d-based model.
An interesting question that arises is what happens when a thick adsorbed film (such as reported at for various liquids on glass [144] and for water on pyrolytic carbon [135]) is layered over with bulk liquid. That is, if the solid is immersed in the liquid adsorbate, is the same distinct and relatively thick interfacial film still present, forming some kind of discontinuity or interface with bulk liquid, or is there now a smooth gradation in properties from the surface to the bulk region This type of question seems not to have been studied, although the answer should be of importance in fluid flow problems and in formulating better models for adsorption phenomena from solution (see Section XI-1). [Pg.378]

SAMs are generating attention for numerous potential uses ranging from chromatography [SO] to substrates for liquid crystal alignment [SI]. Most attention has been focused on future application as nonlinear optical devices [49] however, their use to control electron transfer at electrochemical surfaces has already been realized [S2], In addition, they provide ideal model surfaces for studies of protein adsorption [S3]. [Pg.397]

The following several sections deal with various theories or models for adsorption. It turns out that not only is the adsorption isotherm the most convenient form in which to obtain and plot experimental data, but it is also the form in which theoretical treatments are most easily developed. One of the first demands of a theory for adsorption then, is that it give an experimentally correct adsorption isotherm. Later, it is shown that this test is insufficient and that a more sensitive test of the various models requires a consideration of how the energy and entropy of adsorption vary with the amount adsorbed. Nowadays, a further expectation is that the model not violate the molecular picture revealed by surface diffraction, microscopy, and spectroscopy data, see Chapter VIII and Section XVIII-2 Steele [8] discusses this picture with particular reference to physical adsorption. [Pg.603]

Wu M-C, Estrada C A, Corneille J S and Goodman D W 1996 Model surface studies of metal oxides adsorption of water and methanol on ultrathin MgO films on Mo(IOO) J. Chem. Phys. 96 3892... [Pg.955]

Fukunishi Y and Nakatsu] H 1992 Modifications for ab initio calculations of the moderately large-embedded-cluster model. Hydrogen adsorption on a lithium surface J. Chem. Phys. 97 6535-43... [Pg.2236]

Molecular mechanics methods have been used particularly for simulating surface-liquid interactions. Molecular mechanics calculations are called effective potential function calculations in the solid-state literature. Monte Carlo methods are useful for determining what orientation the solvent will take near a surface. Molecular dynamics can be used to model surface reactions and adsorption if the force held is parameterized correctly. [Pg.319]

In Sec. II we briefly review the experimental situation in surface adsorption phenomena with particular emphasis on quantum effects. In Section III models for the computation of interaction potentials and examples are considered. In Section IV we summarize the basic formulae for path integral Monte Carlo and finite size scahng for critical phenomena. In Section V we consider in detail examples for phase transitions and quantum effects in adsorbed layers. In Section VI we summarize. [Pg.78]

Both extreme models of surface heterogeneity presented above can be readily used in computer simulation studies. Application of the patch wise model is amazingly simple, if one recalls that adsorption on each patch occurs independently of adsorption on any other patch and that boundary effects are neglected in this model. For simplicity let us assume here the so-called two-dimensional model of adsorption, which is based on the assumption that the adsorbed layer forms an individual thermodynamic phase, being in thermal equilibrium with the bulk uniform gas. In such a case, adsorption on a uniform surface (a single patch) can be represented as... [Pg.251]

In the standard lattice gas model of adsorption we assume that the surface of the solid remains inert, providing adsorption sites. This implies that the state of the surface before adsorption and after desorption is the same. This is not the case if the surface reconstructs or lifts the reconstruction upon adsorption. Such a situation we want to describe. We introduce occupation numbers for the surface = 0 or 1, depending on whether the surface... [Pg.472]

According to the macroscopic model, the adsorption potential shift is due to the removal of some solvent molecules, s, from the surface region and accommodating there the oriented molecules of adsorbate, B."" Using the assumptions listed in Ref 114, the dependence for A% is of the form... [Pg.39]

Faghoni F, Goddard WA. 2005. Energetics of hydrogen coverage on group VIII transition metal surfaces and a kinetic model for adsorption/desorption. J Chem Phys 122 014704. [Pg.88]

BB-SFG, we have investigated CO adsorption on smooth polycrystaHine and singlecrystal electrodes that could be considered model surfaces to those apphed in fuel cell research and development. Representative data are shown in Fig. 12.16 the Pt nanoparticles were about 7 nm of Pt black, and were immobilized on a smooth Au disk. The electrolyte was CO-saturated 0.1 M H2SO4, and the potential was scanned from 0.19 V up to 0.64 V at 1 mV/s. The BB-SFG spectra (Fig. 12.16a) at about 2085 cm at 0.19 V correspond to atop CO [Arenz et al., 2005], with a Stark tuning slope of about 24 cm / V (Fig. 12.16b). Note that the Stark slope is lower than that obtained with Pt(l 11) (Fig. 12.9), for reasons to be further investigated. The shoulder near 2120 cm is associated with CO adsorbed on the Au sites [Bhzanac et al., 2004], and the broad background (seen clearly at 0.64 V) is from nomesonant SFG. The data shown in Figs. 12.4, 12.1 la, and 12.16 represent a hnk between smooth and nanostructure catalyst surfaces, and will be of use in our further studies of fuel cell catalysts in the BB-SFG IR perspective. [Pg.396]

We also address the models of adsorption change in electrophysical characteristics of semiconductor adsorbent caused both by diemisorbed charging of the surface due to the charge transition between surface states and volume bands of adsorbent and by local diemical interaction of adsorbate with electrically active defects of semiconductor. [Pg.2]

We consider the existing models of adsorption response of electrophysical characteristics of ideal monocrystalline adsorbent, monocrystal with inhomogeneous surface as well as polycrystal adsorbent characterized by an a priori barrier disorder. The role of rechar g of biographic surface states in the process of adsorption charging of the surface of semiconductor is analyzed. [Pg.2]

The percolation model of adsorption response outlined in this section is based on assumption of existence of a broad spread between heights of inter-crystalline energy barriers in polycrystals. This assumption is valid for numerous polycrystalline semiconductors [145, 146] and for oxides of various metals in particular. The latter are characterized by practically stoichiometric content of surface-adjacent layers. It will be shown in the next chapter that these are these oxides that are characterized by chemisorption-caused response in their electrophysical parameters mainly generated by adsorption charging of adsorbent surface [32, 52, 155]. The availability of broad spread in heights of inter-crystalline barriers in above polycrystallites was experimentally proved by various techniques. These are direct measurements of the drop of potentials on probe contacts during mapping microcrystal pattern [145] and the studies of the value of exponential factor of ohmic electric conductivity of the material which was L/l times lower than the expected one in case of identical... [Pg.72]

The competition model and solvent interaction model were at one time heatedly debated but current thinking maintains that under defined r iitions the two theories are equivalent, however, it is impossible to distinguish between then on the basis of experimental retention data alone [231,249]. Based on the measurement of solute and solvent activity coefficients it was concluded that both models operate alternately. At higher solvent B concentrations, the competition effect diminishes, since under these conditions the solute molecule can enter the Interfacial layer without displacing solvent molecules. The competition model, in its expanded form, is more general, and can be used to derive the principal results of the solvent interaction model as a special case. In essence, it seems that the end result is the same, only the tenet that surface adsorption or solvent association are the dominant retention interactions remain at variance. [Pg.708]


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