Scholarly article on topic 'Effect of adsorbate properties on adsorption mechanisms: computational study'

Effect of adsorbate properties on adsorption mechanisms: computational study Academic research paper on "Nano-technology"

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Academic research paper on topic "Effect of adsorbate properties on adsorption mechanisms: computational study"

Adsorption (2016) 22:589-597 DOI 10.1007/s10450-015-9736-y


Effect of adsorbate properties on adsorption mechanisms: computational study

Magda Ziotkowska1 • Janina Milewska-Duda1 • Jan T. Duda2

Received: 19 October 2015/Revised: 22 November 2015/Accepted: 1 December 2015/Published online: 15 December 2015 © The Author(s) 2015. This article is published with open access at

Abstract The paper presents results of research on identification of localized and mobile adsorption mechanisms of several selected adsorbates, on geometrically heterogeneous graphite-like carbonaceous surface. The proposed approach is intended to examine effects of surface geometrical heterogeneity on shape and volume of space occupied by the selected adsorbate molecules. In particular, the continuously moving individual molecule mass center properties, near adsorbent surface are investigated. When compared to the corresponding liquid phase properties it enables to outline the conditions for localized and mobile adsorption mechanisms. To this aim, the kinematic and thermodynamic equilibrium conditions are taken under the study, providing information on particular mechanism predomination. Therefore, the approach gives a cognitive basis for selection of the most appropriate mathematical adsorption model to reliable examination of material porous structure (comprising similar geometrical heterogeneity). Numerous simulation results for selected adsorbates H2, CO2, CH3OH and C6H6 are presented, and adsorption mechanism identification is discussed.

Keywords Adsorption • Adsorption mechanisms • Localized adsorption • Mobile adsorption

& Magda Ziolkowska

1 Faculty of Energy and Fuels, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland

2 Faculty of Management, AGH University of Science and Technology, Ul. Gramatyka 10, 30-251 Krakow, Poland

1 Introduction

Practical evaluation of adsorption system properties requires mathematical model selection, to describe empirical data obtained from experimental measurements. Nevertheless, due to structural and energetical diversity of adsorbents structure, the complete mathematical description is almost virtually impossible and requires an adsorption mechanism assumption, i.e. localized or mobile (Jagiello and Olivier 2013). Therefore, a significant interest has been concentrated on elaboration of reliable description of adsorption equilibrium, where different aspects of localized and mobile adsorption mechanisms are stressed (Dabrowski 2001; Sing et al. 1985).

The author's team is working on mathematical modeling of solid-fluid interaction, in particular in materials of carbonaceous origin. So far, team's work was concentrated on development and applicability of the new clustering based approach aimed at microporous structure characterization i.e. LBET class adsorption model (Duda et al. 2013; Duda and Milewska-Duda 2005). The background for the model design was to especially consider the surface geometrical heterogeneity and energy distribution effects on the adsorption system properties (Duda et al. 2005). Recently, the author's team works were also focused on the examination of structural diversity effects, on the molecule behavior near the adsorbents surface, with special regard in what extent the local surface deformation reduces the particle movement making it closer to the localized mechanism (Ziolkowska and Duda 2015). Having in mind that system properties are closely related to the surface geometrical heterogeneity and energy distribution (Rudzinski and Everett 1992) for adsorbents of irregular, randomly distributed porous structure localized adsorption may be assumed. On the other hand for highly regular

porous structures (e.g. slit-like pores, zeolites) mobile mechanism seems to be more appropriate. Nevertheless, currently the particular adsorption mechanism is mostly selected intuitively based on presumed picture of surface geometrical heterogeneity. Thus, it is useful to outline the conditions for localized and mobile adsorption mechanisms in order to select the most appropriate mathematical adsorption model, for reliable porous structure characterization.

The aim of this paper is to show, how the recently elaborated in author's team approach works, when applied to the several selected adsorbates H2, CO2, CH3OH and C6H6. In particular, the space and volume of the individual adsorbate particle mass center movement near adsorbent solid wall is considered, then localized and mobile mechanisms conditions are outlined, when compared to the liquid bulk phase properties. Hence, the approach complexity was taken under the study in terms of its applicability to various adsorbates. The practical information that may be drawn from computer analysis aimed at adsorption mechanism identification is presented.

2 Examination of surface geometrical heterogeneity effects

The approach presented in this paper is based on the analysis of adsorptive molecule movement constraints arising from adsorbents surface attractive forces. More precisely, the mass center of individual particle of volatile phase movement is considered in time intervals between collisions with other adsorptive molecules. It is assumed that the molecule mass center moves within a free space, and finding of its mass center at any point of this space is equally probable. Hence, time averages after a suitable lapse of time correspond to the macro scale ensemble averages, see (Ziolkowska and Duda 2015).

In the free space of volume Vfi, the averaged i-th molecule movement is limited by an equipotential surface Ubdry(Vfi), at which molecule translation is limited to the surface. Therefore, at the boundary movement accounts for two degrees of freedom and kinetic energy represented by the temperature kBsi, is equilibrated by the average potential decrease Uavge(Vfi). If individual particle is considered (i.e. there are no particles in volatile phase), Ubdry(Vfi) is the only component of the potential generated at the boundary, coming from solid-fluid adhesive forces. Nevertheless, when considering macro scale the pV potential also has to be taken into account, as a component coming from possible collisions with other particles of volatile phase. Therefore, for practical calculations, it is necessary to relate the pV component to the free volume Vfi. Kinematically such a relationship may be obtained

applying collision probability spi/sfi of an individual i-th particle, leading to the formulae:

and i-th particle kinematic equilibrium condition reads:

p — + UbdryiVfi) - UavgAVfi) - kBSi = 0 afi

where s- is the open surface bounding free space of volume Vf, spi and Vpi correspond appropriately to the particle movement. The relationship s-V- is a specific surface area of the space of particle mass center movement, denoted as a-^. If accepting the assumption that the particle mass center movement corresponds to the sphere-like spaces, the values for the particle movement (i.e. dpi, spi, Vpi) may be evaluated equivalently by calculating the sphere diameter dpi as a diameter d- of volume V- increased by the hard sphere core diameter of.

The rigorous examination of surface heterogeneity effects requires discrete representation of the adsorbents structure. Hence, the material (model) taken under study is a nanostructure of a predefined shape comprising the heterogeneity formed by the carbon atoms at fixed positions. For such a representation the carbon-fluid potential at a given k-th position is calculated by summing up 12-6 Lennard-Jones potential uC-ft over the set of carbon atoms (Lennard-Jones 1931):

UC-fk = 4eC-f

12 -( rcf 6

Vc-fJ Vc-fk

where ec-fk and rc-ft are the potential well-depth and intermolecular diameter, calculated applying Lorentz-Berthelot (Berthelot 1898; Lorentz 1881) mixing rules from pure-species quantities and rCf is carbon-fluid intermolecular distance.

A fixed value of 12-6 Lennard-Jones potential sum

uC-jt is taken as an arbitrary value of a boundary

potential Ubdry(Vfi), enabling to calculate an average potential UaVge(Vfi) as:

UavgeiVfi) =— Ubdry(v)dv VfiJ 0

The free space of volume Vfi corresponding to an arbitrary assumed value of Ubdry may be determined employing analytical or Monte-Carlo calculation technique, both employed in the approach. In our earlier paper (Ziolkowska and Duda 2015) it was shown that Monte-Carlo calculations is a more convenient technique, due to time efficiency, and it is accurate enough to perform analysis. Thus, the volume Vfi corresponding to a given boundary potential is calculated as a ratio of admissible shots nadm, respecting

model geometrical constraints, and successful shots nv, fulfilling the relation ^ uC-ft < Ubdry. Hence, while having

sufficiently large number of admissible shots, the free volume Vfi may be calculated as: Vfi & nvlnadm.

Furthermore for a convenience, the values for Ubdry(Vfi) and Uavge(Vfi) may be recalculated for the particle volume Vpi and then related to one mole of particles with the Avogadro constant NA. Hence, the following relationships are obtained:



Um(Vmpi) —f NAUbdry(Vmpi)

Umadk{Vmpi) — NAUavge( Vmfi)

As far as individual particle movement is considered only (i.e. p = 0), and the values for Um(Vmpi) and Umadh(Vmpi) were obtained, the kinematic equilibrium temperature x, may be calculated with Eq. (2):

_ Um(Vmpi) ~ Umadh{Vmpi)

The analysis of inverse relationship Vm i (x,) makes possible to gain information on adsorption mechanisms, see Fig. 1. When adsorption below the critical volume Vc is considered, a fully accepted practice is to approximate the volume of adsorption phase as liquid phase. In such a volume, close molecules packing makes it virtually impossible to share the volume with any other particles. Hence, the volume of a free movement space Vmpi (x,) < Vc may be seen as localized site bounded by the maximum volume Vind = Vc. The individual particle temperature x,,

Fig. 1 Hypothetical inverse relationship Vmpi(xi) calculated with Eq. (6) for one mole of individual particles moving in the free volume space Vmfl(xi). Vind stands for the maximum volume of individual particle free movement space at the temperature xind. The temperature range x, < xind correspond to the localized mechanism. Vmax is the maximum volume of individual or j particles movement space at the temperature xmax. The temperature range xind < x, < xmax correspond to the possible mobile mechanism and x, > xmax, to the volatile phase fraction (Ziolkowska and Duda 2015)

that corresponds to the Vind may be then calculated as xind - arg{min{ Vmpi (x,nd) - Vm) }. In turn, if the particle temperature is within a certain range, such that xind < x, -< xmax, the temperature is still appropriately low that the particle may be captured into the interaction potential well. Nevertheless, due to weaker interactions the molecules packing decrease, and so enabling the particle to occupy individual spaces Vmpi (x,) but also to share the volume Vmpi (x,) with other j particles. Thus, the general form for the maximum volume of, individual or j particles, free movement space (depending on pressure p) is Vmax — Vmpi (x,)j and the volume range Vind <Vmpi (x,) < Vmax may be seen as a corresponding to the possible mobile mechanism. Analogously, the temperature xi corresponding to the volume Vmax is calculated as xmax -arg{Vmpi(x,) — Vmax > Vind}. Finally, if the temperature xi > xmax, then the particle may be seen as volatile phase fraction.

As far as isothermal adsorption is considered only, the excess energy evolved due to particle interaction with surface carbon atoms may be assumed to be withdrawn, in order to hold the constant temperature T (if the particle is captured into the potential-well). The latter together with the additivity assumption of Vmpi, Umadh{Vm„) and Um Vmpi in temperature range xi < xind, enables for averaging of the system parameters. Hence, the quantities in Eq. (2) may be averaged over all set of molecules (e.g. containing N or one mole of particles) with Maxwell-Boltzmann distribution function f(xi,T) at a given temperature T. Nevertheless, when the temperature range xind < x, < xmax is taken under considerations, the additivity of the total volume Vmpi is no longer valid assumption. However in order to keep the description consistent, the number of particles j sharing the occupied volume Vind < Vmpi (x,) < Vmax may be roughly evaluated, assuming Vind to be the maximum separated volume of one mole of individual particles. Hence, the particle number j may be evaluated as a ratio j — Vmpi (xi)/Vind. Subsequently, volume Vmpi (x,) and potentials Umadh(Vmpi), Um Vmpi may be recalculated as proportionally shared in terms of the particles number at the range corresponding to the volume Vmpi (x,) > VM.

Due to surface structural diversity in real adsorption systems, it is expected that adsorption may take place with both, localized and possible mobile mechanisms. Hence, the analysis of the mechanism predomination is of practical importance and may be performed employing Maxwell-Boltzmann distribution function. The function f(xi,T) integration, up to the limits of localized mechanism xind and possible mobile mechanism xmax, leads to the volatile phase particles fractions of the particular mechanism wind and wmax, at the temperature T:

f (t¡, T)dsi, wn

f (t¡, T)ds¡.

P = 1 - Wmax

where the remaining part p is a fraction of particles in volatile phase. As a matter of fact, the values obtained in Eq. (7) do not specify properties of liquidlike phase particles.

The ratio of the obtained fractions wind and wmax may be considered as follows:

Wind def -

1 for purely localized mechanism

Wind def

0 for purely mobile mechanism

Hence, at the given selected temperature T (e.g. experimental adsorption measurements temperature) it is possible to identify predominating mechanism, based on wind/ Wmax ratio (see Fig. 2).

Assuming that temperature distribution is the Maxwell-Boltzmann distribution, for each i-th particle being in the kinematic equilibrium (i.e. at the intervals between collisions with other particles of volatile phase), the averaged kinematic temperature Tk may be defined:

, 1 Nind 1 Nind

def±_ y Ti. = Yf (s

N i w J(

Nind i

; T)snDxn

where the averaging is performed for Nind particles of temperature si, fulfilling the constraint si < sind.

Hence, by virtue of Eqs. (2) and (9) temperature Tk may be expressed by the following equation:

1 Nind /

— Yf (Sn; T) P^ + Um(Vm )

WindRñ-1f n; \ amfn A pn>

Umadh;n (Vmpn) +) AX,

= R {p(0¿) + Um (Vm) - Umadh (Vmp))

where • refers to the averaged quantities in Eq. (2) at the given temperature Tk, in analogy to the following formulae:

Fig. 2 Schematic curves of wind/wmax ratio versus T and identified predominating mechanisms (Ziolkowska and Duda 2015)

1 Nind N

N1^53 Vmpi =53f (Xn; T) Vm

From Eq. (10), the obtained inverse relationship Vmpi (Tk,p = 0) may be seen as the upper bound for a volume Vmpi (Tk,p). In our previous paper (Ziolkowska and Duda 2015) it was shown that curves corresponding to Tk(Vmpi;p = 0) and Tk(Vmpi;p) are almost indistinguishable, so the pressure effect on the volume is insignificant and may be neglected. Moreover, it was revealed that real particles temperature distribution comes from the thermo-dynamic equilibrium, corresponding to the Maxwell-Boltzmann distribution, modified with the amfn weights, see Eqs. (10) and (12). Therefore, the thermodynamic temperature Tt is calculated assuming the same distribution of the quantities Umad^{Vmp), Um(Vmp) and corresponding Spt and amfi in the kinematic equilibrium, at the temperature Tk:

Tt = -■ ' R

N ( s \

, J2f (sn; T)amAp-;t- + Um„{Vmpn) - Umadh¡n(Vmpn) )

1 n=1 V fn '

T )-mfn Ax,

where sn comes from Eq. (6) and the pressure p (kPa) is calculated by solving of nonlinear system of Eq. (12) and Riedel equation with empirical constants A, B, C, D:

ln p = A ln Tk + — + C + DT¡ Tk

Hence, the resultant temperature Tt calculated with Eq. (12) in comparison to the kinematically determined temperature Tt calculated with Eq. (10) enables for evaluation of adequacy of kinematic considerations.

The averaged volume Vmp (Tt) may be seen as a realistic adsorbate molar volume in adsorption system of predominating localized mechanism and may be employed for calculations of surface texture parameter f, applied in our previous paper as a validation parameter (Ziolkowska and Duda 2015). This comes from the elaborated in our team LBET class adsorption models implementations (Duda et al. 2013; Milewska-Duda et al. 2000; Milewska-Duda and Duda 2001) where localized mechanism is viewed as a mixing of molecules being in the reference liquidlike state with cells placed at the adsorbent surface. Thus, f describes possible contact of the adsorbate with neighboring adsorbent molecules (intermolecular effective contact ratio) and may be calculated taking the values for molar adhesion energy Eadk{Vmp) and effective adhesion energy calculated with Eq. (11) (divided for

Umadh (Vm

j molecules if the volume Vm

Vind \ Vmpi (si) ^ Vmax)•

is shared at the range

f _ UmMh{Vn Eadh( Vm}

Eadh(yVmp) is the molar adhesion energy of the full contact adsorbate-adsorbent molecules and may be evaluated applying Berthelot rule by combining adsorbate and adsorbent cohesion energies involving the solubility parameter dc of adsorbent matter:

Eadh _ 2dc

Evap Vmp

where Vm stands for the adsorbate molar volume and Evap is the adsorbate cohesion (evaporation) energy, both referring to the adsorbate reference state (for vaporous substances it is the liquid state). The latter is evaluated with PVT relationship for liquid bulk phase (Milewska-Duda and Duda 2009).

3 Numerical analysis

In our earlier paper (Ziolkowska and Duda 2015) it was shown that presented approach makes it possible to get a picture of shape and volume of space occupied by the nitrogen molecules and to outline the conditions for localized and possible mobile adsorption mechanisms for the pores of presumed structure. Moreover, depending on the type of geometrical heterogeneity it is possible to detect the number of the produced adsorption sites, e.g. for carbon nanocone only one site is produced at the top, whereas at the graphite sample with a defect in the form of cavity more than one active site was detected. However, having in mind that the probing molecule size may significantly affect the structure diversity evaluation, to check the reliability of the proposed approach further calculations were performed for selected adsorptives of different size: H2, CO2, CH3OH and C6H6. Due to interesting results obtained earlier (Ziolkowska and Duda 2015) for graphite sample (GS) model (i.e. almost perfect agreement of thermodynamic temperature curve and thermal expansion curve for nitrogen calculations) the researches presented in this paper were performed for this model (Fig. 3). All calculations parameters used in the study are gathered in Table 1.

All calculations and plots were performed on MATLAB platform, employing software elaborated in author's team with the Monte-Carlo calculation technique described in Sect. 2. The evaluated adsorption mechanism identification parameters are gathered in Table 2.

Following proposed criteria for adsorption mechanisms identification, both localized and possible mobile mechanisms were identified for all adsorptive-graphite sample model pairs, see Fig. 1. Localized mechanism was identified at the rapidly growing interaction potential region

Fig. 3 The material structure, graphite sample model, composed of carbon atoms at fixed positions (i.e. chemical heterogeneity is neglected), predefining geometrical heterogeneity in the form of cavity of 0.7 nm depth and diameter: at the top layer 1.1-1.6 nm and at the second layer 0.8-1.9 nm

Um(ympi) ^ 0, where well-depth is deep enough to produce %i < sind and the corresponding volume of one mole of individual particles does not exceed the critical volume, Vmpi < Vind (see Figs. 4, 5). This feature is strongly confirmed when analyzing equipotential surface cross-sections presented in Fig. 6. At the lowest range of potentials, for each investigated pair, the equipotential lines are closed and continuous, so the implied volume of space is occupied by individual particle (one mole of particles). Moreover, it should be noticed that for CO2 and CH3OH more than one localized adsorption site is observed, what may result from the accepted molecule diameter (see Table 1). As the molecule diameter decrease, the cavity may be penetrated more precisely, enabling to detect even slight structure defects. On the other hand, C6H6 molecule diameter is almost the size of the cavity diameter (ffc6H6 _ 0.56 nm and cavity diameter 0.8 nm) making it impossible, due to strong potential interaction, to access further cavity parts. Hence, for C6H6 molecule only one adsorption site was detected. It should be also noticed that in Fig. 5 the surface cross-section lines discontinuities may be found. This is an effect of the interpolation of random, scattered configurations and as discussed in Sect. 2 may be accepted for analysis presented in this paper.

What concerns possible mobile mechanism, smax was identified as a value corresponding to the maximum volume Vmax. The determination of the latter one is based on the interesting feature, observed for all calculated adsorp-tives. Thus, there exist a certain temperature range where two volume values are produced for one temperature value, see Fig. 1. This may be seen as a coexistence of two phases: dilute liquidlike and bulk, and so Vmax is determined as maximum volume of dilute liquidlike phase for the region of coexisting phases.

Interesting information may be drawn when comparing the kinematic Tk(Vmpi,p _ 0),Eq. (10) and thermodynamic

Table 1 Calculation parameters used in the study, Lennard-Jones pure species parameters for: graphite sample model (Siderius and Gelb 2011) and H2, CO2, C6H6 (Bird et al. 2001), CH3OH (Wilhelm and Battino 1971)

r (nm) e/kB (K) Tc (K) Vc (cm3/mol) Tb (K) A B C D

H2 0.29 28.0 33.2 65.1 20.4 4.2 -52.6 -5.2 -6.9 X 10- -4

CO2 0.39 190.0 304.1 93.9 216.6 -24.0 -7.1 X 103 166.3 3.3 X 10- -5

CH3OH 0.36 234.0 512.6 118.0 337.7 -2.4 -1.2 X 103 26.6 2.0 X 10- -5

C6H6 0.54 387.0 562.2 259.0 353.3 -8.4 -6.3 X 103 71.1 6.2 X 10- -6

C-C 0.34 28.0 - - - - - - -

Riedel equation parameters (CHERIC 2015) and remaining parameters (Reid et al. 1987)

Table 2 Calculated adsorption mechanism (localized vs. mobile) identification parameters


Sind (K) 89 379 656 846

Smax (K) 191 576 677 850

Vmax (cm3/mol) 162.8 135.1 127.1 276.0

Tk( Vc, p = 0) (K) 29 185 230.7 416

Tt(Vc, p) (K) 36 215 240.0 468

fconst 0.71 0.58 0.34 0.60

Fig. 4 Interaction potential Um(Vmpl) (solid line) and adhesion energy UmMh(ympi) (dashed line) for interaction of a H2, b CO2, c CH3OH and d C6H6 with carbon atoms of graphite sample model

temperatures Tt(Vmp.,p), Eq. (12) with appropriate adsorbate liquid thermal expansion curve, evaluated with formulae in (Milewska-Duda and Duda 2009). In our previous paper it was shown (Ziolkowska and Duda 2015), that graphite sample model gives results of Tt almost in perfect agreement with nitrogen expansion curve, enabling to conclude that for such structures the classical localized

Fig. 5 Calculated volume Vmpiand corresponding temperature s for: a H2, b CO2, c CH3OH and d C6H6. Determined values of sind, Vind, and smax, Vmax are denoted with dot and triangle markers, respectively

adsorption assumption (i.e. vaporous adsorbate is in a liquid state) is fully acceptable. Nevertheless, results for CO2, CH3OH and C6H6, presented in Fig. 7, are not in such a good agreement with calculated liquid expansion curve. This may be result of numerical problems encountered when more than one attractive adsorption site is identified and comes from the difficulty in determination of the volume corresponding to the particular site. It means that, when considering individual geometrical heterogeneity the produced well-depth may result in implying different volume of space (i.e. the volume does not have to be proportionally shared for each site). Thus, the identification of the volume corresponding to the particular adsorption site is ambiguous and has to be overcome in further research in order to evaluate thermodynamic temperature Tt more reliably.

Having in mind that the demonstrated numerical problems are related to the volume determination for individual attractive adsorption site, one may consider the reliability of the identification of adsorption mechanism. Nevertheless, it has to be taken into account that the numerical

Fig. 6 The equipotential surface cross-sections, interpolated from random, scattered configurations and corresponding to the colorbar Um(ympi) values obtained for H2 (1st row subfigures), CO2 (2nd row subfigures), CH3OH (3rd row subfigures) and C6H6 (4th row subfigures). First column cross-sections correspond to the model width values where Um Vmpi reaches its minimum, the second column correspond to the model width at 1.4 nm. Finally, at the third column the cross-sections through the cavity center are presented, on the background of three top layers where the cavity is formed. Possible discontinuities of the cross-sections lines are the consequence of applied Monte Carlo method and interpolation of the configurations

problems were found only when individual attractive site is considered. Thus, having in mind that the volume is considered as an additive, the evaluated value Vmpi is the total volume and fulfills accepted constraint Vmpi < Vind. Thereby, the adsorption mechanism is identified properly for the material comprising such a geometrical heterogeneity.

However, the accuracy in volume evaluation for one adsorption site has an impact when determining surface structure parameter f, in particular the molar adhesion energy Ead^Vmp). Hence, when analyzing the results for f

Fig. 7 Calculated kinematic temperature Tk(Vmpnp _ 0) (dashed line), thermodynamic temperature Tt{Vmpi, p) (dash-dotted line) corresponding to Vmpi values and liquid thermal expansion curve (solid line) for a H2, b CO2, c CH3OH and d C6H6. The dot marker corresponds to the critical parameters: Tc and Vc

presented in Fig. 8 it has to be taken into account that the calculated energy Eadh{Vmp) is overall adhesion energy. In our previous studies we did not perform the calculations of effective contact ratio for H2 (applying a model equivalent to the presented researches). When analyzing the relationship for CH3OH, the inconsistency of the description may be seen. In low range of temperatures this results from inadequate description of the adhesion energy in such range, since the energy is calculated with PVT relationship, dedicated for liquid bulk phase only. On the other hand, at the higher temperatures range the effective contact ratio value is surprisingly low, corresponding rather to the possible mobile mechanism than localized. This is an interesting feature that most probably results from the identified numerical problems, since in Fig. 6 it may be seen that the adsorption sites are of a significantly different size, and so the volume. When compared the remaining results with earlier works (Milewska-Duda and Duda 2002) the f overestimation may be seen, due to obvious differences in the structural heterogeneity. Nevertheless, results are in a good agreement with earlier assumed adsorption identification criteria and may be approved as validation parameter, when compared to the results of experimental examination of adsorption isotherms with LBET models. Moreover, notice that f parameter became almost invariant to the temperature (Table 2, fconst). This is really important property and may be exploited, to improve identification of the adsorbent structure, by simultaneous fitting of two or more isotherms measured in different temperatures for the same pair adsorbate-adsorbent.

The analyses were completed with identification of the predominating adsorption mechanism at the temperature

0 50 100 150 200 250 300 T[ K]

Fig. 8 Intermolecular effective contact ratio f and temperature T for H2 (solid line), CO2 (dotted line), CH3OH (dashed line) and C6H6 (dash-dotted line). The description is consistent at the range above adsorbate freezing point (marked with dots), due to evaluation of the energy in Eq. (14) with PVT relationship dedicated for liquid bulk phase only

Fig. 9 Adsorption predomination indicated via wind/wmax ratio at the temperature range 0-300 K for H2 (solid line) and CO2, CH3OH, C6H6 (dashed line)

range 0-300 K with Eq. (7). It may be seen that for H2 both mechanisms may occur. Localized mechanism predomination may be clearly seen for hydrogen at the temperature up to 115 K. For CO2, CH3OH and C6H6 only localized mechanism domination is observed. This is an obvious feature coming from the classical localized adsorption assumption (i.e. vaporous adsorbate is in a liquid state) and the fact that the tested range is blow the critical temperature range (i.e. these adsorbates in whole

temperature range fulfill the localized mechanism constraints). Hence, wind/wmax ratio implies that for materials where geometrical heterogeneities are close to those modeled in graphite sample localized adsorption mechanism should be assumed, and so the corresponding appropriate mathematical model (Fig. 9).

4 Conclusions

Presented in this paper results of research aimed at adsorption mechanism identification are further development of the approach elaborated in author's team. The obtained results are sufficient to get an insight into H2, CO2, CH3OH and C6H6 adsorption mechanisms. Performed calculations provide a reliable picture of individual particles movement near the solid surface. In particular, it was verified that that substantial geometrical heterogeneity generates localized attractive adsorption sites.

The numerical tool is comprehensive in terms of model complexity and ability to properties evaluation even when more than one adsorption site for localized mechanism is expected. Nevertheless, the application of the tool met obstacles coming from the difficulty of the volume determination for the particular site, thereby distorting true picture of thermodynamic equilibrium properties.

It has been demonstrated, that selected adsorbates H2, CO2, CH3OH and C6H6 volume may be approximated as a liquid volume at the given temperature. Moreover, depending on the molecule size different structure diversities may be detected, especially when analyzing equipo-tential surface cross-sections.

The practical information driven by analyses of wind/ wmax gives a basis to answer what particular mechanism predominates while adsorption of H2, CO2, CH3OH and C6H6 in material of structure similar to the modeled graphite sample and so, what particular mathematical model should be chosen in order to examine reliably material porous structure.

Acknowledgments The research is led within the AGH University of Science and Technology Grant No.

Compliance with ethical standards

Conflict of interest The authors declare no competing financial or non-financial interests.

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://crea, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.


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