Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Pores networks, adsorption energies

As pointed out by Ruthven [3], the rates of adsorption and desorption in porous adsorbents are usually controlled by the rate of diffusion within the pore network, more than by the kinetics of adsorption-desorption. This is especially true in chromatography, where adsorbents are carefully prepared to exhibit only moderately strong energy of physisorption and no chemisorption. Thus, it is important to consider diffusion within the pore networks existing in the columns. [Pg.241]

In the simple case of a porous network with chemically uniform surfaces, the dependence of the adsorption energy on the pore size can be easily determined. In particular, if the network is composed of sUt-like pores and the interaction of a molecule with a single pore surface is described by Equation (6.34), then the potential energy of a molecule inside the pore can be calculated by summing the potentials from the two surfaces. The minima on the potential curves are identified as the adsorption energies. If the distribution of pore sizes J(R) is fractal, then x(s) depends on the type of distribution, and in turn on the A value. Rudziilski et al. [89, 90] postulated... [Pg.202]

If we choose the condition of infinite dilution, en N be zero since the macromolecules are far apart. We further assume that essentially there is only one conformation of the molecule/macromolecule (rigid) (alternatively all conformations have the same energy) therefore, ewjvf = 0. Further, we assume that there are no adsorptive forces between the macromolecule and the pore wall in addition, the pore wall and macromolecule are distinct and discontinuous consequently, exp(—etjjvfpA F) has the value of 1 for molecular configurations free from overlap with the wall and the value of 0 for configurations of overlap with the wall. In random-pore networks, an ensemble average of exp(—<7(f, X ), can... [Pg.142]

Bhatia [39] studied the transport of adsorbates in microporous random networks in the presence of an arbitrary nonlinear local isotherm. The transport model was developed by means of a correlated random walk theory, assuming pore mouth equilibrium at an intersection in the network and a local chemical potential gradient driving force. The author tested this model with experimental data of CO2 adsorption on Carbolac measured by Carman and Raal [40]. He concluded that the experimental data are best predicted when adsorbate mobility, based on the chemical potential gradient, is taken to have an activation energy equal to the isosteric heat of adsorption at low coverage, obtained from the Henry s law region. He also concluded that the choice of the local isotherm... [Pg.64]

Tlie BET equation, however, is subject to various limitations when applied to microporous carbons. Thus, constrictions in the microporous network may cause molecular sieve effects and molecular shape selectivity. Diffusion effects may also occur when using N2 at 77 K as the adsorbate since at such low temperatures the kinetic energy may be insufficient to penetrate all the micropores. For this reason adsorption of CO2 at higher temperatures (273 K) is also used. CO2 and N2 iso erms are complementary. Thus, whereas from the CO2 isothenn micropores of up to approximately 10 m width can be measured, the Na can be used to test larger pores. Despite these limitations the BET surlace area is the parameter most commonly used to characterize the specific surlace area of carbon adsorbents. [Pg.8]

The first part of this paper focuses on the structural study of TS deposits using scatming and transmission electron microscopy in order to characterize the mesopore and macropore network, as well as the microstructure. In the second part, we present a comparative study of adsorption properties of TS deposits and some reference samples. We have measured volumetry adsorption isotherms of various probe molecules like CH4, N2, CsHg and have determined parameters like energy adsorption, micropore volume and pore size distribution (PSD), using empirical methods and both Dubinin-Asthakov and Stoeckli models [3]. [Pg.249]

Figure 4 Single-crystal X-ray structure of M MOF-1 showing that the framework is composed of trinuclear [Zn3(COO)g] SBUs (b) bridged by BDC moieties to form 3 tessellated 2D sheets (c) that are further pillared by the Cu(Pyen) rmits (a) to form a 3D network having curved pores of about 5.6 X 12.0 along the c axis (d) and irregular ultramicropores along the b axis (e). Variation of isosteric enthalpy of adsorption (f) and activation energy (g) with amount adsorbed for H2 and Dj on M MOF-1 (Reprinted with permission from Ref 4. Copyright (2008) American Chemical Society.)... Figure 4 Single-crystal X-ray structure of M MOF-1 showing that the framework is composed of trinuclear [Zn3(COO)g] SBUs (b) bridged by BDC moieties to form 3 tessellated 2D sheets (c) that are further pillared by the Cu(Pyen) rmits (a) to form a 3D network having curved pores of about 5.6 X 12.0 along the c axis (d) and irregular ultramicropores along the b axis (e). Variation of isosteric enthalpy of adsorption (f) and activation energy (g) with amount adsorbed for H2 and Dj on M MOF-1 (Reprinted with permission from Ref 4. Copyright (2008) American Chemical Society.)...

See other pages where Pores networks, adsorption energies is mentioned: [Pg.478]    [Pg.68]    [Pg.430]    [Pg.27]    [Pg.155]    [Pg.27]    [Pg.26]    [Pg.164]    [Pg.1016]    [Pg.337]    [Pg.2]    [Pg.147]    [Pg.112]    [Pg.238]    [Pg.700]    [Pg.1]    [Pg.42]    [Pg.55]    [Pg.422]    [Pg.2]    [Pg.3]    [Pg.288]   


SEARCH



Adsorption energy

Adsorptive energy

Network energy

Pore network

Pores adsorption

© 2024 chempedia.info