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Publicly Available Published by De Gruyter July 2, 2015

Physisorption of gases, with special reference to the evaluation of surface area and pore size distribution (IUPAC Technical Report)

  • Matthias Thommes EMAIL logo , Katsumi Kaneko , Alexander V. Neimark , James P. Olivier , Francisco Rodriguez-Reinoso , Jean Rouquerol and Kenneth S.W. Sing

Abstract

Gas adsorption is an important tool for the characterisation of porous solids and fine powders. Major advances in recent years have made it necessary to update the 1985 IUPAC manual on Reporting Physisorption Data for Gas/Solid Systems. The aims of the present document are to clarify and standardise the presentation, nomenclature and methodology associated with the application of physisorption for surface area assessment and pore size analysis and to draw attention to remaining problems in the interpretation of physisorption data.

1 Introduction

Gas adsorption is a well-established tool for the characterisation of the texture of porous solids and fine powders. In 1985 an IUPAC manual was issued on “Reporting Physisorption Data for Gas/Solid Systems”, with special reference to the determination of surface area and porosity. The conclusions and recommendations in the 1985 document have been broadly accepted by the scientific and industrial community [1].

Over the past 30 years major advances have been made in the development of nanoporous materials with uniform, tailor-made pore structures (e.g., mesoporous molecular sieves, carbon nanotubes and nanohorns and materials with hierarchical pore structures). Their characterisation has required the development of high resolution experimental protocols for the adsorption of various subcritical fluids (e.g., nitrogen at T=77 K, argon at 87 K, carbon dioxide at 273 K) and also organic vapours and supercritical gases. Furthermore, novel procedures based on density functional theory and molecular simulation (e.g., Monte–Carlo simulations) have been developed to allow a more accurate and comprehensive pore structural analysis to be obtained from high resolution physisorption data. It is evident that these new procedures, terms and concepts now necessitate an update and extension of the 1985 recommendations. Hence, this document is focused on the following objectives:

  1. to provide authoritative, up-to-date guidance on gas physisorption methodology;

  2. to discuss the advantages and limitations of using physisorption techniques for studying solid surfaces and pore structures with particular reference to the assessment of surface area and pore size distribution.

The principal aim of this document is to clarify and standardise the presentation, nomenclature and methodology associated with the use of gas physisorption as an analytical tool and in different areas of pure and applied research.

2 General definitions and terminology

The definitions given here are in line with those put forward in the 1985 IUPAC Recommendation [1], while the symbols used are those given in the 2007 edition of the IUPAC manual “Quantities, Units and Symbols in Physical Chemistry”. Where a caveat is added, it is intended to draw attention to a conceptual difficulty or to a particular aspect which requires further consideration.

In general, adsorption is defined as the enrichment of molecules, atoms or ions in the vicinity of an interface. In the case of gas/solid systems, adsorption takes place in the vicinity of the solid surface and outside the solid structure. The material in the adsorbed state is known as the adsorbate, while the adsorptive is the same component in the fluid phase. The adsorption space is the space occupied by the adsorbate. Adsorption can be physical (physisorption) or chemical (chemisorption). Physisorption is a general phenomenon: it occurs whenever an adsorbable gas (the adsorptive) is brought into contact with the surface of a solid (the adsorbent). The intermolecular forces involved are of the same kind as those responsible for the imperfection of real gases and the condensation of vapours. In addition to the attractive dispersion forces and the short range repulsive forces, specific molecular interactions (e.g., polarisation, field-dipole, field gradient-quadrupole) usually occur as a result of particular geometric and electronic properties of the adsorbent and adsorptive. In chemisorption, which is not dealt with in this document, the intermolecular forces involved lead to the formation of chemical bonds.

When the molecules of the adsorptive penetrate the surface layer and enter the structure of the bulk solid, the term absorption is used. It is sometimes difficult or impossible to distinguish between adsorption and absorption: it is then convenient to use the wider term sorption which embraces both phenomena, and to use the derived terms sorbent, sorbate and sorptive.

When the term adsorption is used to denote the onward process of adsorption, its counterpart is desorption, which denotes the converse process, in which the amount adsorbed progressively decreases. The terms adsorption and desorption are then used adjectivally to indicate the direction from which experimentally determined amounts adsorbed have been approached – by reference to the adsorption curve (or point), or to the desorption curve (or point). Adsorption hysteresis arises when the adsorption and desorption curves do not coincide.

The adsorption system is comprised of three zones: solid, gas and the adsorption space (e.g., the adsorbed layer) whose content is the amount adsorbed na. Evaluation of na is dependent on the volume, Va, of the adsorption space, which is an unknown quantity in the absence of additional information. To address this issue, Gibbs proposed a model for assessing accurately an intermediate quantity called the surface excess amountnσ. Adsorption is here assumed to be totally two-dimensional (Va = 0) and to take place on an imaginary surface (Gibbs dividing surface, or GDS) which, in the case of gas adsorption, limits the volume Vg available for a homogeneous gas phase. Calculating the amount ng in the gas phase in equilibrium with the adsorbent is then carried out by application of the appropriate gas laws. The difference between n (the total amount of adsorptive introduced in the system) and ng is the surface excess amount nσ.

Strictly speaking, the quantity experimentally determined by adsorption manometry or gravimetry is a surface excess amount nσ. However, for the adsorption of vapours under 0.1 MPa, which is the main concern of this document, na and nσ can be considered to be almost identical, provided the latter is calculated with a surface (the GDS) very close to the adsorbent surface. This requires an accurate determination of the void volume (gas adsorption manometry) or of the buoyancy (gas adsorption gravimetry) [see Section 3 and Ref. 2].

For gas adsorption measurements at higher pressures, the difference between na and nσ cannot be ignored. Then, the experimental surface excess data can be converted into the corresponding amounts adsorbed, provided that the volumes of the adsorption space (Va) and solid adsorbent (Vs) are known. In the simplest case, when the GDS exactly coincides with the actual adsorbing surface [2], the amount adsorbed na is given by

(1) n a = n σ + c g V a  (1)

The relation, at constant temperature, between the amount adsorbed, na (or, alternatively, the surface excess amount nσ), and the equilibrium pressure of the gas is known as the adsorption isotherm. The way the pressure is plotted depends on whether the adsorption is carried out at a temperature under or above the critical temperature of the adsorptive. At an adsorption temperature below the critical point, one usually adopts the relative pressure p/p°, where p is the equilibrium pressure and p° the saturation vapour pressure at the adsorption temperature. At an adsorption temperature above the critical one, where there is no condensation and no p° exists, one must necessarily use the equilibrium pressure p.

The surface of a solid can be considered and defined at different levels (cf Fig. 1). At the atomic scale, the van der Waals surface (Fig. 1, 1) is formed by the outer part of the van der Waals spheres of the surface atoms. The second surface, which is assessed by physisorption, does not coincide with the van der Waals surface. This surface is known in simulation studies as the Connolly surface (Fig. 1, 2) and is defined as the surface drawn by the bottom of a spherical probe molecule rolling over the van der Waals surface; this is the probe-accessible surface. The r-distance surface (Fig. 1, 3) is located at distance r from the Connolly surface.

Fig. 1: 
          Schematic representation of several possible surfaces of an adsorbent. 1: van der Waals; 2: Connolly, Probe-accessible; 3: Accessible, r-distance.
Fig. 1:

Schematic representation of several possible surfaces of an adsorbent. 1: van der Waals; 2: Connolly, Probe-accessible; 3: Accessible, r-distance.

In the case of porous adsorbents, the surface can be subdivided into an external surface and an internal surface, but with two different meanings: (i) in the general case, the external surface is defined as the surface outside the pores, while the internal surface is then the surface of all pore walls; and (ii) in the presence of microporosity it has become customary to define the external surface as the non-microporous surface. In practice, whatever definition is chosen, the method of assessment and the pore size and shape distribution must be taken into account. Because the accessibility of pores is dependent on the size and shape of the probe molecules, the recorded values of internal area and pore volume may depend on the dimensions of the adsorptive molecules (packing and molecular sieve effects). The roughness of a solid surface may be characterised by a roughness factor, i.e., the ratio of the external surface to the chosen geometric surface. Pore morphology describes the geometrical shape and structure of the pores, including pore width and volume as well as the roughness of the pore walls. Porosity is defined as the ratio of the total pore volume to the volume of the particle or agglomerate.

In the context of physisorption, it is expedient to classify pores according to their size (IUPAC recommendation, 1985[1]):

  1. pores with widths exceeding about 50 nm are called macropores;

  2. pores of widths between 2 nm and 50 nm are called mesopores;

  3. pores with widths not exceeding about 2 nm are called micropores.

These limits, which were suggested by the analysis of nitrogen (77 K) adsorption-desorption isotherms are therefore to some extent arbitrary. Nevertheless, they are still useful and broadly accepted.

The term nanopore embraces the above three categories of pores, but with an upper limit ∼ 100 nm.

The whole of the accessible volume present in micropores may be regarded as adsorption space. The process which then occurs is micropore filling, as distinct from the surface coverage which takes place on the walls of open macropores or mesopores. In the case of micropore filling, the interpretation of the adsorption isotherm only in terms of surface coverage is incorrect. Micropore filling may be regarded as a primary physisorption process (see Section 6). It is often useful to distinguish between the narrow micropores (also called ultramicropores) of approximate width < 0.7 nm and wide micropores (also called supermicropores).

Physisorption in mesopores takes place in three more or less distinct stages. In monolayer adsorption all the adsorbed molecules are in contact with the surface layer of the adsorbent. In multilayer adsorption the adsorption space accommodates more than one layer of molecules so that not all the adsorbed molecules are in direct contact with the adsorbent surface. In mesopores, multilayer adsorption is followed by pore condensation. Capillary (or pore) condensation is the phenomenon whereby a gas condenses to a liquid-like phase in a pore at a pressure p less than the saturation pressure p° of the bulk liquid; i.e., capillary condensation reflects a vapour-liquid phase transition in a finite-volume system. The term capillary (or pore) condensation should not be used to describe micropore filling because it does not involve a vapour-liquid phase transition.

For physisorption, the monolayer capacity (nam) is usually defined as the amount of adsorbate sufficient to cover the surface with a complete monolayer of molecules. In some cases this may be a close-packed array but in others the adsorbate may adopt a different structure. Quantities relating to monolayer capacity may be denoted by the subscript m. The surface coverage (θ) for both monolayer and multilayer adsorption is defined as the ratio of the amount of adsorbed substance to the monolayer capacity. The surface area (As) of the adsorbent may be calculated from the monolayer capacity, provided that the area (σm) effectively occupied by an adsorbed molecule in the complete monolayer is known. Thus,

(2) A s = n a m L σ m  (2)

where L is the Avogadro constant. The specific surface area (as) refers to unit mass of adsorbent:

(3) a s = A s / m  (3)

The IUPAC manual of Quantities, Units and Symbols in Physical Chemistry [3] recommends the symbols A, As or S and a, as or s for area and specific area, respectively, but As and as are preferred to avoid confusion with Helmholtz energy A or entropy S.

Energetic data of physisorption can be assessed directly by adsorption calorimetry: the curve obtained of differential energies of adsorptionΔadsu˙ or differential enthalpies of adsorption, Δadsh˙ (i.e., Δadsu˙RT for an ideal gas) vs. amount adsorbed na allows one to study the energetics of surface coverage or micropore filling. The use of the term “heat of adsorption” is discouraged since it does not correspond to any well-defined thermodynamic change of state. The energetic data can also be assessed indirectly from adsorption isotherms obtained at different temperatures (i.e., the “isosteric” method, based on the use of the Clausius–Clapeyron equation) and this leads, for a given amount adsorbed, to the so-called “isosteric heatqst Strictly this quantity is more meaningful than a simple “heat”, since it is equal, with opposite sign, to Δadsh˙. For this reason, the term “isosteric heat” is preferably replaced by the term isosteric enthalpy of adsorption. For both experimental and theoretical reasons, the calorimetric method is considered to be more reliable than the isosteric method, especially if one is studying micropore filling or the phase behaviour of the adsorbate.

3 Methodology and experimental procedure

3.1 The determination of physisorption isotherms

The various types of apparatus used for the determination of physisorption isotherms may be divided into two groups, depending on: (a) measurement of the amount of gas removed from the gas phase (i.e., manometric methods) and (b) direct measurement of the uptake of gas (i.e., gravimetric measurement of the change in mass of the adsorbent). In practice, static or dynamic techniques may be used in either case. As mentioned in Section 2, the surface excess amount is the quantity experimentally determined. For the adsorption of vapours below 100 kPa (1 bar) (e.g., N2, Ar, Kr adsorption at cryogenic temperatures) the surface excess amount and the total amount adsorbed can be considered to be essentially identical (see Section 2).

A static manometric determination entails the measurement of changes of pressure of calibrated gas volumes: a known amount of pure gas is admitted to a confined, calibrated volume containing the adsorbent, which is maintained at constant temperature. As adsorption takes place, the pressure in the confined volume falls until equilibrium is established. The amount of gas adsorbed at the equilibrium pressure is given as the difference between the amount of gas admitted and the amount of gas required to fill the space around the adsorbent, i.e., the dead space. The adsorption isotherm is usually constructed point-by-point by admission of successive charges of gas to the adsorbent with the aid of a dosing technique and application of the appropriate gas laws. The volume of the dead space must, of course, be known accurately: it is obtained either by pre-calibration of the confined volume and subtracting the volume of the adsorbent (calculated from its density or by the admission of a gas which is adsorbed to a negligible extent). It is important to understand that the determination of the dead space usually accounts for the largest element of uncertainty in the total error inventory of the measured adsorbed amount.

A ‘continuous’ procedure can be used to construct the isotherm under quasi-equilibrium conditions: the pure adsorptive is admitted to (or removed from) the system at a slow and constant rate and a manometric or gravimetric technique used to follow the variation of the amount adsorbed with increase (or decrease) in pressure. In such measurements involving gas flow it is essential to confirm that the results are not affected by change in flow rate and to check the agreement with representative isotherms determined by a static method.

Two different carrier gas techniques may be employed to study the amount adsorbed. Inverse gas chromatography, which involves an elution phenomenon and the determination of a retention time, is mainly applied for studies in the low monolayer coverage (or micropore filling) region, although it has been used, apparently satisfactorily, up to monolayer coverage [2]. Adsorption/desorption under carrier gas (i.e., the Nelson and Eggertsen flow method [4]) also allows one to construct an adsorption/desorption isotherm, but this technique is frequently only applied for a single point surface area assessment. Both techniques require that the adsorption of the carrier gas be negligible.

Developments in vacuum microbalance techniques have maintained an interest in gravimetric methods for the determination of adsorption isotherms. With the aid of an adsorption balance the change in weight of the adsorbent may be followed directly during both the outgassing and adsorption/desorption stages. A gravimetric procedure is especially convenient for measurements with vapours (e.g., water vapour or some organic adsorptives) at temperatures not too far removed from ambient. At low temperatures (in particular at cryogenic temperatures), however, it can become difficult to control convection effects and to measure the exact temperature of the adsorbent.

The manometric method is generally considered the most suitable technique for undertaking physisorption measurements with nitrogen, argon, and krypton at cryogenic temperatures (i.e., 77 and 87 K, the boiling temperature of nitrogen and argon, respectively). In recent years, excellent commercial adsorption equipment has been developed and installed in almost every organisation concerned with the production and characterisation of nanoporous materials. Detailed descriptions of manometric methods (and the corresponding computational procedures) are not given here because they are available in recently published books and reviews.

Pore size analysis of nanoporous adsorbents over the complete micropore and mesopore range requires physisorption experiments which can span a broad spectrum of pressures (up to seven orders of magnitude) starting at ultralow pressures below 1 Pa (0.01 mbar). Hence, in order to study the adsorption of gases such as nitrogen and argon (at their boiling temperatures) within the relative pressure range 10–7p/p0 ≤ 1 with sufficiently high accuracy, it is necessary to use special equipment, which ensures that the sample cell and the manifold can be evacuated to very low pressures with a highly efficient turbomolecular vacuum pumping system. Also, a combination of different pressure transducers, which cover various pressure ranges, is required. Another complication in the ultra-low pressure range is that for gas pressures below ca. 0.1 mbar (i.e., p/p0 < 10–4) for nitrogen and argon adsorption at 77 K and 87 K, respectively, pressure differences along the capillary of the sample bulb due to the Knudsen effect have to be taken into account. Hence, a thermal transpiration correction must be applied in order to obtain accurate data. Care must also be taken to properly select the equilibration conditions. Too short an equilibration time may lead to under-equilibrated data and isotherms shifted to too high relative pressures. Under-equilibration is often an issue in the very low relative pressure region of the isotherm, since equilibration in narrow micropores tends to be very slow. For highest accuracy the saturation pressure p° should be recorded for every datum point (by means of a dedicated saturation pressure transducer), this is most important for providing acceptable accuracy in the measurement of p/p0 at high pressures, which is particularly important for evaluation of the size distribution of larger mesopores.

It is important to ensure that the purity of the adsorptive is not less than 99.999 %. In addition, the accuracy of the results depends on careful preparation and sampling of the adsorbent (see Section 3.3).

3.2 Dead space (void volume) determination

In the application of a manometric technique involving a dosing procedure it must be kept in mind that systematic errors in the measured doses of gas are cumulative and that the amount remaining unadsorbed in the dead space becomes increasingly important as the pressure increases. Hence, in order to correctly determine the amount adsorbed, an accurate knowledge of the dead space (i.e., the effective void volume) is crucial and can be determined before or after the measurement of the adsorption isotherm. The standard procedure uses a non-adsorbing gas such as helium to measure the dead space under the operational conditions. However, the use of helium for the dead space calibration may be problematic [2, 4, 5]. Recent investigations have confirmed that nanoporous solids with very narrow micropores may adsorb non-negligible amounts of helium at liquid nitrogen temperature (helium entrapment). If the entrapped helium is not removed prior to the analysis this can affect significantly the shape of the adsorption isotherm in the ultra-low pressure range [5]. Therefore, it is recommended that the sample should be outgassed after its exposure to helium, at least at room temperature, before continuing the manometric analysis.

It is advantageous to avoid the use of helium if the adsorbent consists of extremely narrow micropores, when in contrast to helium the entry of nitrogen or argon molecules is restricted, due to diffusion limitations. This situation arises with some zeolites and activated carbons. One way to avoid this problem is to determine the volume of the empty sample cell at ambient temperature using the adsorptive (e.g., nitrogen) followed by the measurement of a calibration curve (with the empty sample cell) performed under the same operational conditions as the adsorption measurements. This calibration curve essentially represents a multipoint dead space determination; the necessary correction for the sample volume can be made by means of the sample density (i.e., skeletal density).

3.3 Outgassing the adsorbent

Prior to the determination of an adsorption isotherm all of the physisorbed species should be removed from the surface of the adsorbent while avoiding irreversible changes of the surface or the solid structure. This may be achieved by outgassing, i.e., exposure of the surface to a high vacuum (for microporous materials, pressures <1 Pa are desirable) usually at elevated temperature. To obtain reproducible isotherms, it is necessary to control the outgassing conditions (the heating programme, the change in pressure over the adsorbent and the residual pressure) to within limits which depend on the nature of the adsorbent. With sensitive samples, a sample-controlled heating programme is recommended, which also reduces the risk of fine powder elutriation if the adsorbent is outgassed under high vacuum [2].

While outgassing under vacuum is the recommended method for microporous materials, it is sometimes expedient to achieve adequate cleanliness of the surface of non-microporous materials by flushing the adsorbent with an inert gas (which may be the adsorptive) at elevated temperature. To monitor the progress of outgassing, it is useful to follow the change in gas pressure by means of suitable vacuum gauges and, if the experimental technique permits, the change in weight of the adsorbent. Further information on the effect of outgassing may be obtained by the application of temperature programmed desorption in association with evolved gas analysis (e.g., using mass spectrometry). The conditions chosen for pretreatment of the adsorbent must be carefully controlled and recorded (i.e., the outgassing time and temperature and the residual pressure, or the conditions of flushing with adsorptive).

4 Evaluation of adsorption data

4.1 Presentation of primary data

The quantity of gas adsorbed is measured in any convenient units, but for the presentation of the data, it is recommended that the amount adsorbed should be expressed in moles per gram of outgassed adsorbent. If possible, the composition of the adsorbent should be specified and its surface characterised. To facilitate the comparison of adsorption data, it is recommended that adsorption isotherms are displayed in graphical form with the amount adsorbed (preferably in mol·g–1) plotted against the equilibrium relative pressure (p/p0), where p0 is the saturation pressure of the pure adsorptive at the operational temperature, or against p, when the temperature is above the critical temperature of the adsorptive. If the adsorption measurements are made under conditions where the gas phase deviates appreciably from ideality (e.g., at high pressure), it is desirable that the isotherms should be presented in terms of gas fugacity rather than pressure.

4.2 Classification of physisorption isotherms

In the 1985 IUPAC recommendations physisorption isotherms were grouped into six types [1]. However, over the past 30 years various new characteristic types of isotherms have been identified and shown to be closely related to particular pore structures. Therefore, we now consider it expedient to refine the original IUPAC classifications of physisorption isotherms and associated hysteresis loops. The proposed updated classification of physisorption isotherms is shown in Fig. 2.

Fig. 2: 
            Classification of physisorption isotherms.
Fig. 2:

Classification of physisorption isotherms.

Reversible Type I isotherms are given by microporous solids having relatively small external surfaces (e.g., some activated carbons, molecular sieve zeolites and certain porous oxides). A Type I isotherm is concave to the p/p0 axis and the amount adsorbed approaches a limiting value. This limiting uptake is governed by the accessible micropore volume rather than by the internal surface area. A steep uptake at very low p/p0 is due to enhanced adsorbent-adsorptive interactions in narrow micropores (micropores of molecular dimensions), resulting in micropore filling at very low p/p0. For nitrogen and argon adsorption at 77 K and 87 K, Type I(a) isotherms are given by microporous materials having mainly narrow micropores (of width < ∼ 1 nm); Type I(b) isotherms are found with materials having pore size distributions over a broader range including wider micropores and possibly narrow mesopores (< ∼ 2.5 nm).

Reversible Type II isotherms are given by the physisorption of most gases on nonporous or macroporous adsorbents. The shape is the result of unrestricted monolayer-multilayer adsorption up to high p/p0. If the knee is sharp, Point B – the beginning of the middle almost linear section – usually corresponds to the completion of monolayer coverage. A more gradual curvature (i.e., a less distinctive Point B) is an indication of a significant amount of overlap of monolayer coverage and the onset of multilayer adsorption. The thickness of the adsorbed multilayer generally appears to increase without limit when p/p0 = 1.

In the case of a Type III isotherm, there is no Point B and therefore no identifiable monolayer formation; the adsorbent-adsorbate interactions are now relatively weak and the adsorbed molecules are clustered around the most favorable sites on the surface of a nonporous or macroporous solid. In contrast to a Type II isotherm, the amount adsorbed remains finite at the saturation pressure (i.e., at p/p0 = 1).

Type IV isotherms are given by mesoporous adsorbents (e.g., many oxide gels, industrial adsorbents and mesoporous molecular sieves). The adsorption behaviour in mesopores is determined by the adsorbent-adsorptive interactions and also by the interactions between the molecules in the condensed state. In this case, the initial monolayer-multilayer adsorption on the mesopore walls, which takes the same path as the corresponding part of a Type II isotherm, is followed by pore condensation. As already mentioned in Section 2, pore condensation is the phenomenon whereby a gas condenses to a liquid-like phase in a pore at a pressure p less than the saturation pressure p0 of the bulk liquid [6, 7]. A typical feature of Type IV isotherms is a final saturation plateau, of variable length (sometimes reduced to a mere inflexion point).

In the case of a Type IVa isotherm, capillary condensation is accompanied by hysteresis. This occurs when the pore width exceeds a certain critical width, which is dependent on the adsorption system and temperature (e.g., for nitrogen and argon adsorption in cylindrical pores at 77 K and 87 K, respectively, hysteresis starts to occur for pores wider than ∼ 4 nm) [4, 6, 8]. With adsorbents having mesopores of smaller width, completely reversible Type IVb isotherms are observed. In principle, Type IVb isotherms are also given by conical and cylindrical mesopores that are closed at the tapered end.

In the low p/p0 range, the Type V isotherm shape is very similar to that of Type III and this can be attributed to relatively weak adsorbent–adsorbate interactions. At higher p/p0, molecular clustering is followed by pore filling. For instance, Type V isotherms are observed for water adsorption on hydrophobic microporous and mesoporous adsorbents.

The reversible stepwise Type VI isotherm is representative of layer-by-layer adsorption on a highly uniform nonporous surface. The step-height now represents the capacity for each adsorbed layer, while the sharpness of the step is dependent on the system and the temperature. Amongst the best examples of Type VI isotherms are those obtained with argon or krypton at low temperature on graphitised carbon blacks.

4.3 Adsorption hysteresis

4.3.1 Origin of hysteresis

Reproducible, permanent hysteresis loops, which are located in the multilayer range of physisorption isotherms, are generally associated with capillary condensation. This form of hysteresis can be attributed to adsorption metastability and/or network effects. In an open-ended pore (e.g., of cylindrical geometry), delayed condensation is the result of metastability of the adsorbed multilayer. It follows that in an assembly of such pores the adsorption branch of the hysteresis loop is not in thermodynamic equilibrium. Since evaporation does not involve nucleation, the desorption stage is equivalent to a reversible liquid–vapour transition. Therefore, if the pores are filled with liquid-like condensate, thermodynamic equilibration is established on the desorption branch [6–8].

In more complex pore structures, the desorption path is often dependent on network effects and various forms of pore blocking. These phenomena occur if wide pores have access to the external surface only through narrow necks (e.g., ink-bottle pore shape). The wide pores are filled as before and remain filled during desorption until the narrow necks empty at lower vapour pressures. In a pore network, the desorption vapour pressures are dependent on the size and spatial distribution of the necks. If the neck diameters are not too small, the network may empty at a relative pressure corresponding to a characteristic percolation threshold. Then, useful information concerning the neck size can be obtained from the desorption branch of the isotherm.

Theoretical and experimental studies have revealed [6–8] that if the neck diameter is smaller than a critical size (estimated to be ca. 5–6 nm for nitrogen at 77 K), the mechanism of desorption from the larger pores involves cavitation (i.e., the spontaneous nucleation and growth of gas bubbles in the metastable condensed fluid). Cavitation controlled evaporation has been found for instance with certain micro-mesoporous silicas, mesoporous zeolites, clays, and also some activated carbons. Contrary to the situation of pore blocking/percolation controlled evaporation no quantitative information about the neck size and neck size distribution can be obtained in the case of cavitation.

4.3.2 Types of hysteresis loops

Many different shapes of hysteresis loops have been reported, but the main types are shown in Fig. 3. Types H1, H2(a), H3 and H4 were identified in the original IUPAC classification of 1985, which is now extended in the light of more recent findings. Each of these six characteristic types is fairly closely related to particular features of the pore structure and underlying adsorption mechanism.

Fig. 3: 
              Classification of hysteresis loops.
Fig. 3:

Classification of hysteresis loops.

The Type H1 loop is found in materials which exhibit a narrow range of uniform mesopores, as for instance in templated silicas (e.g., MCM-41, MCM-48, SBA-15), some controlled pore glasses and ordered, mesoporous carbons. Usually, network effects are minimal and the steep, narrow loop is a clear sign of delayed condensation on the adsorption branch. However, Type H1 hysteresis has also been found in networks of ink-bottle pores where the width of the neck size distribution is similar to the width of the pore/cavity size distribution (e.g., 3DOm carbons [6]).

Hysteresis loops of Type H2 are given by more complex pore structures in which network effects are important. The very steep desorption branch, which is a characteristic feature of H2(a) loops, can be attributed either to pore-blocking/percolation in a narrow range of pore necks or to cavitation-induced evaporation. H2(a) loops are for instance given by many silica gels, some porous glasses (e.g., vycor) as well as some ordered mesoporous materials (e.g., SBA-16 and KIT-5 silicas). The Type H2(b) loop is also associated with pore blocking, but the size distribution of neck widths is now much larger. Examples of this type of hysteresis loops have been observed with mesocellular silica foams and certain mesoporous ordered silicas after hydrothermal treatment.

There are two distinctive features of the Type H3 loop: (i) the adsorption branch resembles a Type II isotherm (ii) the lower limit of the desorption branch is normally located at the cavitation-induced p/p0. Loops of this type are given by non-rigid aggregates of plate-like particles (e.g., certain clays) but also if the pore network consists of macropores which are not completely filled with pore condensate.

The H4 loop is somewhat similar, but the adsorption branch is now a composite of Types I and II, the more pronounced uptake at low p/p0 being associated with the filling of micropores. H4 loops are often found with aggregated crystals of zeolites, some mesoporous zeolites, and micro-mesoporous carbons.

Although the Type H5 loop is unusual, it has a distinctive form associated with certain pore structures containing both open and partially blocked mesopores (e.g., plugged hexagonal templated silicas).

As already indicated, the common feature of H3, H4 and H5 loops is the sharp step-down of the desorption branch. Generally, this is located in a narrow range of p/p0 for the particular adsorptive and temperature (e.g., at p/p0 ∼ 0.4 – 0.5 for nitrogen at temperatures of 77 K).

5 Assessment of surface area

5.1 Principles of the Brunauer–Emmett–Teller (BET) method

5.1.1 The basic equation

The Brunauer–Emmett–Teller method [2, 4] continues to be the most widely used procedure for evaluating the surface area of porous and finely-divided materials, in spite of the weakness of its theoretical foundations. Indeed, under certain carefully controlled conditions, the BET-area of a nonporous, macroporous or a mesoporous solid (i.e., giving a well-defined Type II or a Type IV(a) isotherm) can be regarded as the ‘probe accessible area’ (i.e., the effective area available for the adsorption of the specified adsorptive).

Two stages are involved in the application of the BET method. First, it is necessary to transform a physisorption isotherm into the ‘BET plot’ and from it derive a value of the BET monolayer capacity, nm. In the second stage, the BET-area, a(BET), is calculated from nm by adopting an appropriate value of the molecular cross-sectional area, σ.

It is customary to apply the BET equation in the linear form

(4) p / p n ( 1 p / p ) = 1 n m C + C 1 n m C ( p / p )  (4)

where n is the specific amount adsorbed at the relative pressure p/p° and nm is the specific monolayer capacity.

According to the BET theory, the parameter C is exponentially related to the energy of monolayer adsorption. It is now generally agreed that the value of C rather gives a useful indication of the shape of the isotherm in the BET range. Thus, if the value of C is at least ∼ 80 the knee of the isotherm is sharp and Point B is fairly well defined (see Fig. 2). It was this characteristic point which was first identified by Brunauer and Emmett as the stage of monolayer completion and the beginning of multilayer adsorption. If C is low (< ∼ 50) Point B cannot be identified as a single point on the isotherm. There is then an appreciable overlap of monolayer and multilayer adsorption and the precise interpretation of nm is questionable. When C < 2, the isotherm is either Type III or Type V (see section V) and the BET method is not applicable. A high value of C (say, > ∼ 150) is generally associated with either adsorption on high-energy surface sites or the filling of narrow micropores.

5.1.2 The derivation of nm and as (BET)

A convenient way to derive nm from the BET equation is to make use of the linear relation between (p/p°)/n (1–p/p°) and p/p° (i.e., ‘the BET plot’). The range of linearity of the BET plot is always restricted to a limited part of the isotherm, often within the p/p° range of ∼ 0.05–0.30 for Type II and Type IVa isotherms. However, in the case of Type IVb isotherms, caution is required since pore condensation may occur at quite low p/p0. The linear BET range is shifted to lower relative pressures when the adsorption energy is high, especially if the surface is energetically homogeneous or crystalline (e.g., for the adsorption of nitrogen or argon on graphitised carbon or xenon on clean metal films).

A procedure which allows one to determine the linear BET range in an unambiguous way is described in Section 5.2.2, which is particularly useful if micropores are present, when the linear BET range is also located at lower relative pressures.

The second stage in the application of the BET method is the calculation of the BET-area from the monolayer capacity. This requires a knowledge of the average area, σm(molecular cross-sectional area), occupied by the adsorbate molecule in the complete monolayer. Thus

(5) a s ( BET ) = n m L σ m / m  (5)

where as (BET) is the BET specific area of the adsorbent (of mass m).

5.2 Standardisation of the BET method

The calculated value of the BET area is dependent on (i) the adsorptive and operational temperature and (ii) the procedure used to locate the pressure range in applying the BET equation.

5.2.1 Choice of the adsorptive for BET area determination

Nitrogen (at its boiling temperature, 77 K) was traditionally the adsorptive generally used to obtain a(BET), with σm(N2) assumed to be 0.162 nm2 (based on the assumption of a closed-packed monolayer). This is partly due to the fact that liquid nitrogen was readily available and also because nitrogen isotherms on many adsorbents were found to exhibit a well-defined Point B. However, it is now recognised that due to its quadrupole moment, the orientation of a nitrogen molecule is dependent on the surface chemistry of the adsorbent. This may lead to uncertainty in the value of σm(N2) – possibly ∼ 20% for some surfaces [2].

Argon may seem to be an alternative adsorptive for surface area determination. Argon does not have a quadrupole moment and is less reactive than the diatomic nitrogen molecule. There are, however, several reasons why argon at 77 K is considered to be less reliable than nitrogen. At 77 K, argon is ca. 6.5 K below the bulk triple point temperature and hence the bulk reference state is in doubt. Furthermore, there is evidence that at 77 K, the structure of the argon monolayer is highly dependent on the surface chemistry of the adsorbent (e.g., giving rise to Type VI isotherms on highly uniform surfaces such as graphitised carbons).

An alternative is argon adsorption at 87 K, i.e., at liquid argon temperature. Here, the problems encountered with argon at 77 K are not present. At 87 K, a cross-sectional area, σm(Ar), of 0.142 nm2 is usually assumed. Because of the absence of a quadrupole moment and the higher temperature, σm(Ar) is less sensitive to differences in the structure of the adsorbent surface [2]. Furthermore, argon adsorption at 87 K offers advantages in particular for micropore analysis (see Section 6). Measurements at 87 K can be performed by using either liquid argon (instead of liquid nitrogen) or a cryostat (or cryocooler).

By using highly accurate manometric adsorption equipment, it is possible to assess surface areas as low as (∼ 0.5–1) m2 with nitrogen or argon as the adsorptive. In order to evaluate even lower surface areas, krypton adsorption at 77 K is generally the recommended adsorptive [4]. However, the behaviour of the krypton at 77 K is in some respect comparable to that of argon at 77 K: at this temperature krypton is well below (by ca. 38 K) its triple point and sublimates at ca. 0.22 kPa. The standard thermodynamic state of the adsorbed layer is therefore not well defined. For the BET analysis one usually assumes that the condensed adsorbate corresponds to a supercooled liquid (p° = 0.35 kPa). Due to the extremely low saturation pressure, the number of molecules in the free space of the sample cell is significantly reduced (to 1/300th) as compared to nitrogen or argon at their respective boiling temperatures: this leads to the high sensitivity of krypton adsorption at 77 K. However, evaluation of surface area is complicated by the difficulty in choosing the value of the cross-sectional area σ(Kr), which appears to vary from solid to solid (commonly used values for σ(Kr) range from ∼ 0.17 to 0.23 nm2). Since no generally valid recommendations can be made, it is essential to state the chosen values of p° and σm(Kr). In spite of that, krypton adsorption at 77 K is considered to be a very useful tool for routine work on materials with low-surface area.

5.2.2 Application of the BET method to microporous materials

As mentioned in Section 5.1, the BET method can be applied to many Type II and Type IV isotherms, but extreme caution is needed in the presence of micropores (i.e., with Type I isotherms and combinations of Types I and II or Types I and IV isotherms). It may be impossible to separate the processes of monolayer-multilayer adsorption and micropore filling. With microporous adsorbents, the linear range of the BET plot may be very difficult to locate. A useful procedure [9] allows one to overcome this difficulty and avoid any subjectivity in evaluating the BET monolayer capacity. This procedure is based on the following main criteria:

  1. the quantity C should be positive (i.e., a negative intercept on the ordinate of the BET plot is the first indication that one is outside the appropriate range);

  2. application of the BET equation should be restricted to the range where the term n(1 – p/p0) continuously increases with p/p0;

  3. the p/p0 value corresponding to nm should be within the selected BET range.

It must be re-emphasised that this procedure should not be expected to confirm the validity of the BET monolayer capacity. Thus, the BET-area derived from a Type I isotherm must not be treated as a realistic probe accessible surface area. It represents an apparent surface area, which may be regarded as a useful adsorbent “fingerprint”.

6 Assessment of microporosity

6.1 Choice of adsorptive

Physisorption filling of micropores always occurs at low relative pressures. The range of low pressure is dependent on the shape and dimensions of the micropores, the size of the adsorptive molecules and their interactions with the adsorbent and with each other. Adsorption in narrow micropores (i.e., the “ultramicropores” of width no more than two or three molecular diameters depending on pore geometry) involves some overlap of the adsorption forces and takes place at very low relative pressures. This process has been termed ‘primary micropore filling’, whereas wider micropores are filled by a secondary process over a wider range of higher relative pressure (e.g., p/p0 ≈ 0.01–0.15 for argon and nitrogen adsorption at 87 K and 77 K). Enhancement of the adsorbent-adsorbate interaction energy is now reduced and cooperative adsorbate–adsorbate interactions in the confined space become more important for the micropore filling process.

For many years, nitrogen adsorption at 77 K has been generally accepted as the standard method for both micropore and mesopore size analysis, but for several reasons it is now becoming evident that nitrogen is not an entirely satisfactory adsorptive for assessing the micropore size distribution. It is well known that the quadrupolar nature of the nitrogen molecule is largely responsible for the specific interaction with a variety of surface functional groups and exposed ions. This not only affects the orientation of the adsorbed nitrogen molecule on the adsorbent surface (as mentioned in Section 5.2.1), but it also strongly affects the micropore filling pressure. For example, with many zeolites and MOFs the initial stage of physisorption is shifted to extremely low relative pressures (to ∼ 10–7). The rate of diffusion is slow in this ultra-low pressure range, which makes it difficult to measure equilibrated adsorption isotherms. Additional problems are associated with pre-adsorbed N2 molecules, which can block the entrances of narrow micropores, and specific interactions with surface functional groups so that the pore filling pressure is not clearly correlated with the pore size/structure. It follows that in order to measure an adsorption isotherm accurately careful consideration should be given to the choice of the adsorptive and the operational temperature.

In contrast to nitrogen, argon does not exhibit specific interactions with surface functional groups. However, as already indicated (Section 5.2.1), the interpretation of argon isotherms at liquid nitrogen temperature is not straightforward. At 87 K, this problem is avoided since argon fills narrow micropores at significantly higher relative pressures in comparison with nitrogen at 77 K [2, 4, 6]. This leads to accelerated equilibration and permits the measurement of high resolution adsorption isotherms. Hence, argon adsorption at 87 K allows a much more straightforward correlation to be obtained between the pore filling pressure and the confinement effect (depending on pore width and shape). This is particularly important for zeolitic materials, metal organic frameworks (MOFs) and some oxides and activated carbons [6].

Because of kinetic restrictions at cryogenic temperatures (87 K, 77 K) argon and nitrogen adsorption is of limited value for the characterisation of very narrow micropores. One way of addressing this problem is to use CO2 (kinetic dimension 0.33 nm) as the adsorptive at 273 K. At 273 K, the saturation vapour pressure of CO2. is very high (∼ 3.5 MPa) and hence the pressures required for micropore size analysis are in the moderate range (∼ 0.1 to–100) kPa. Because of these relatively high temperatures and pressures, diffusion is much faster and pores as small as 0.4 nm can be accessed. On the other hand, the easily measurable maximum relative pressure for measurements with CO2 at 273 K is p/p0 3 × 10–2 (corresponding to ambient pressure) and hence only pores < 1 nm can be explored.

Adsorption of CO2 at 273 K has become an accepted method for studying carbonaceous materials with very narrow micropores and has been described in various textbooks and reviews [2, 4, 6]. However, CO2 cannot be recommended for the pore size analysis of microporous solids with polar surface groups (e.g., oxides, zeolites, MOFs) since the quadrupole moment of CO2 is even larger than that of N2 which makes it difficult to correlate the CO2 pore filling pressure with the pore size.

6.2 Micropore volume

If the physisorption isotherm is of Type I (see Fig.2), with a virtually horizontal plateau, the limiting uptake may be taken as a simple measure of the micropore capacity, np, with respect to the adsorption of the particular gas at the operational temperature. To convert np into the micropore volume VP, it is usually assumed that the pores are filled with the condensed adsorptive in the normal liquid state. This assumption is known as the Gurvich rule [2, 4]. However, in practice, the plateau of the adsorption isotherm is rarely horizontal since most microporous adsorbents have appreciable external surface areas and many also have pores in the mesopore range. It follows that the Gurvich rule cannot always be applied in a straightforward way to determine the micropore volume.

A number of different methods have been proposed for the analysis of physisorption isotherms given by microporous solids. They can be divided into the older macroscopic procedures and those based on statistical mechanics (e.g., molecular simulation or density functional theory).

For routine analysis, the micropore volume is often assessed by application of a macroscopic procedure [2, 4]. One such approach involves the empirical comparison of an isotherm with an appropriate standard obtained on a non-porous reference material of similar chemical composition. In the t-method it is necessary to make use of a standard multilayer thickness curve, but this is dependent on the application of the BET method, which may not be strictly applicable (see Section 5). In order to overcome this problem the use of the αs-plot method is preferred because it does not need the evaluation of monolayer capacity and is also more adaptable than the t-plot. In this method the standard isotherm is plotted in a reduced form (n/nx)s versus the relative pressure p/p0, where the normalising factor nx is taken as the amount adsorbed at a preselected relative pressure (generally p/p0 = 0.4). In order to construct the αs-plot for a given adsorbent, the amount adsorbed n is plotted as a function of the reduced standard isotherm, αs = (n/nx)s. The micropore capacity is obtained by back extrapolation of a linear section of the αs plot. A refinement of the αs analysis makes use of high-resolution standard isotherm data at very low relative pressures [2, 4].

Another popular method for evaluation of the micropore volume is based on Dubinin’s pore-volume-filling theory. In accordance with the Dubinin–Radushkevich (DR) equation, a plot of log n versus log2(p0/p) is linear provided the micropore size has a uniform Gaussian distribution and its extrapolation to the ordinate will give the micropore capacity. Although linear DR plots have been reported for the physisorption of various gases and vapours by microporous carbons, there are numerous examples of the linear region being apparently absent or restricted to a limited range of low relative pressures. The applicability of the DR method is then questionable [2, 4].

It must be kept in mind that these classical methods do not allow for the effect of micropore size and shape on molecular packing so that the adsorbate cannot always have bulk-liquid like properties. This problem has been addressed in methods based on molecular simulation (MC) and density functional theory (DFT), which are discussed in the next section.

6.3 Micropore size analysis

An empirical way of studying microporosity is by the application of a number of molecular probes of progressively increasing molecular diameter. The method is based on the measurement of both adsorption rates and capacities. A sharp adsorption cutoff might be expected to correspond to a given micropore size, but this does not take account of the complexity of most microporous materials. Although the results are often quite difficult to interpret, generally it is possible to obtain useful information about the effective range of window and/or pore entrance size.

Various semi-empirical methods include those proposed by Horvath and Kawazoe (the HK method), Saito and Foley and Cheng and Yang for the evaluation of the pore size distribution of slit, cylindrical and spherical pores, respectively [2, 4, 6]. Although these semi-empirical methods tend to underestimate the pore size, they may be in some cases useful for the comparison of microporous materials. Microscopic treatments such as density functional theory (DFT) and molecular simulation, which can describe the configuration of the adsorbed phase at the molecular level, are considered to be superior and to provide a more reliable approach to pore size analysis over the complete nanopore range [6, 8].

Thus, DFT and Monte Carlo simulation (MC) have been developed into powerful methods for the description of the adsorption and phase behaviour of fluids confined in well-defined pore structures [7, 8]. These procedures are based on the fundamental principles of statistical mechanics as applied to the molecular behaviour of confined fluids. They describe the distribution of adsorbed molecules in pores on a molecular level and thus provide detailed information about the local fluid structure near the adsorbent surface. The fluid–solid interaction potential is dependent on the pore model. Different pore shape models (e.g., slit, cylinder and spherical geometries and hybrid shapes) have been developed for various material classes such as carbons, silicas, zeolites.

Non-local-density functional theory (NLDFT) based methods for pore size/volume analysis of nanoporous materials are now available for many adsorption systems [4, 6, 8]. They are included in commercial software and are also featured in international standards (such as ISO 15901-3).

These methods allow one to calculate for a particular adsorptive/adsorbent pair a series of theoretical isotherms, N(p/p0,W), in pores of different widths for a given pore shape. The series of theoretical isotherms is called the kernel, which can be regarded as a theoretical reference for a given class of adsorbent/adsorptive system. The calculation of the pore size distribution function f(W) is based on a solution of the general adsorption isotherm (GAI) equation, which correlates the experimental adsorption isotherm N(p/p0) with the kernel of the theoretical adsorption or desorption isotherms N(p/p0,W). For this purpose, the GAI equation is expressed in the form:

(6) N ( p / p o ) = W min W max N ( p / p o , W ) f ( W ) d W  (6)

Although the solution of the GAI equation with respect to the pore size distribution function f(W) is strictly an ill-posed numerical problem, it is now generally accepted that meaningful and stable solutions can be obtained by using regularisation algorithms [8].

Several approaches have been suggested to account for the heterogeneity of most adsorbents, which if not properly taken into account can lead to appreciable inaccuracy in the pore size analysis. Such methods include the development of complex 3D structural models of disordered porous solids by advanced molecular simulation techniques, but these are still too complex to be implemented for routine pore size analysis. The drawbacks of the conventional NLDFT model which assumes a smooth and homogenous carbon surface have been addressed by the introduction of two-dimensional DFT approaches [10]. Quenched solid density functional theory (QSDFT) is another approach to quantitatively allow for the effects of surface heterogeneity in a practical way [6, 8]. It has been demonstrated that taking into account surface heterogeneity significantly improves the reliability of the pore size analysis of heterogenous nanoporous carbons.

Finally, it must be stressed that the application of advanced methods based on DFT and molecular simulation can lead to reasonably accurate evaluation of the pore size distribution only if a given nanoporous system is compatible with the chosen DFT/MC kernel. If the chosen kernel is not consistent with the experimental adsorptive/adsorbent system, the derived pore size distribution may be significantly in error.

7 Assessment of mesoporosity

7.1 Pore volume

If a mesoporous adsorbent contains no macropores, its Type IV isotherm remains nearly horizontal over the upper range of p/p0. The pore volume, Vp, is then derived from the amount of vapour adsorbed at a relative pressure close to unity (e.g., p/p0 = 0.95), by assuming that the pores are filled with the adsorbate in the bulk liquid state, (i.e., by applying the Gurvich rule) [2, 4].

If macropores are present, the isotherm is no longer nearly horizontal near p/p0 = 1 and the total pore volume cannot be evaluated from such a composite Type IV +Type II isotherm.

7.2 Mesopore size analysis

For many years mesopore size analysis was firmly based on the application of the Kelvin equation. Thus, the shift of the gas-liquid phase transition of a confined fluid from bulk coexistence, is expressed in terms of the surface tension γ of the bulk fluid and the molar liquid volume Vm . For cylindrical pores the modified Kelvin equation [2, 4] is:

(7) ln ( p / p 0 ) = 2 γ V m / R T ( r p t c )  (7)

where rp is the pore radius and tc the thickness of the adsorbed multilayer film, which is formed prior to pore condensation.

The many methods for mesopore size analysis, which make use of the modified Kelvin equation, include those proposed by Barrett, Joyner and Halenda (BJH) and Broeckhoff and de Boer [2, 4]. In order to account for the preadsorbed multilayer film, the Kelvin equation is combined with a standard isotherm (the t-curve), which is determined on certain well-defined nonporous solids. However, for the size analysis of narrow mesopores, the standard t-curve is not entirely satisfactory, because the curvature and enhanced surface forces are not properly taken into account. Similarly, the validity of the Kelvin equation is questionable as the mesopore width is reduced because macroscopic concepts can no longer be safely applied. This was clearly demonstrated with the aid of model mesoporous molecular sieves (e.g., M41S materials). Because of their high degree of order, the pore diameter of such model substances can be derived by independent methods (X-ray-diffraction, high-resolution transmission electron microscopy, etc.). It was shown [4, 6, 8] that the Kelvin equation based procedures, such as the BJH method, significantly underestimate the pore size for narrow mesopores (for pore diameter < ∼ 10 nm the pore size will be underestimated by ∼ 20–30 %).

The limitations of the Kelvin equation can be avoided by applying microscopic methods based on molecular simulation or DFT (e.g., NLDFT) which as discussed in detail in Section 6 yield the thermodynamics and density profiles of confined fluids and a description of the adsorbed phase on a molecular level. They capture the essential features of both micropore and mesopore filling and hysteresis [7, 8]. As a consequence they allow one to obtain a more reliable assessment of the pore size distribution over the complete range [6, 8]. Furthermore, one can obtain useful information from both the adsorption and desorption branches of the hysteresis loop. With certain ordered mesoporous materials, these methods are capable of quantitatively predicting the pore condensation and hysteresis behaviour by taking into account the underlying adsorption-desorption mechanisms including the delay in condensation due to metastability of the pore fluid [6, 8]. These advantages are crucial in the pore size analysis of materials which give rise to H2, H3, H4 and H5 hysteresis loops.

As indicated in Section 6, commercial DFT software is now available for various adsorbent systems and pore geometries (cylindrical, slit, spherical or hybrids). However, as already discussed, it is important to ensure that the chosen DFT and molecular simulation based methods are compatible with the experimental nanoporous system.

8 Aspects of gas adsorption in non-rigid materials

Physisorption isotherms are generally expected to be completely reversible in the monolayer, or micropore filling, range. In fact, for certain microporous systems (e.g., clays, coal, some activated carbons) low pressure hysteresis (LPH) may extend to the lowest attainable pressures [2]. Since such phenomena are sometimes difficult to reproduce, it might appear that low pressure hysteresis is an artefact simply due to faulty experimental technique. Of course, spurious data are obtained if insufficient time is allowed for the system to attain equilibrium. Another source of error is the presence of impurities either in the gas phase or on the surface. These complications must be avoided or removed before the evidence for reproducible and genuine LPH can be accepted. Genuine low pressure hysteresis is often associated with the expansion and contraction of adsorbents: the irreversible entry of the adsorbate molecules into pores of molecular dimensions can produce inelastic distortion of the adsorbent structure. A related effect, which has been termed “activated entry”, is the very slow diffusion of molecules through narrow pore entrances [2].

Adsorption may also induce structural transformations of the adsorbent that affect the adsorption isotherm to a great extent. Well known are structural transformations in zeolites, like MFI ZSM-5, which are reflected in the appearance of low-pressure hysteresis loops below the range of pressures associated with capillary condensation. Structural transformations are observed in some metal-organic frameworks (MOFs) and their sorption behaviour is not easy to interpret [11, 12]. Application of standard methods for the assessment of surface area and pore size analysis may lead to meaningless BET surface areas and pore size distributions. Novel theoretical approaches based on realistic pore models, which allow one to take into account the non-rigid nature of the adsorbent into account, are needed. Some progress has been made during the last few years [12] but this area requires major attention in the future.

In addition to these irreversible changes, elastic deformation of the adsorbent commonly occurs in various systems, such as charcoal, activated carbon, porous glass, zeolites and silica gels. Elastic deformation is usually quite small (between ∼ 0.1% and 1%); it does not affect significantly the sorption isotherm except for some polymers, aerogels and other materials of high porosity.

9 Conclusions and recommendations

Major advances in adsorption science over the past 30 years include: (i) Preparation of nanoporous materials with uniform pore structures, which are now used as model adsorbents; (ii) Introduction of high resolution adsorption techniques and reliable commercial instrumentation; and (iii) Application of density functional theory (DFT) and molecular simulation.

The original IUPAC classifications of physisorption isotherms and hysteresis loops have been extended and refined to include new characteristic types, which are associated with certain well-defined adsorption systems.

Caution is required in applying the Brunauer–Emmett–Teller (BET) method for the assessment of surface area. Use of a recommended procedure (see Section 5.2.2) improves the reproducibility of the method, when micropores are present, but one then obtains an apparent surface area (i.e., “BET area”) which serves as a useful “fingerprint” of the adsorbent.

The choice of adsorptive is crucial in the characterisation of porous materials. Nitrogen at 77 K has been widely used, but the interpretation of the isotherm data is not always straightforward. For various reasons, argon adsorption at 87 K is considered to be more reliable and is now recommended – particularly for micropore size analysis.

It is now evident that pore size analysis of narrow mesopores cannot be reliably achieved by the application of procedures based on the Kelvin equation, such as the Barrett–Joyner–Halenda (BJH) method. This traditional approach may still be useful, however, for routine work (e.g., industrial process control).

Density functional theory (DFT) based computational procedures are included in commercially available software and provide a reasonably reliable assessment of the nanopore size distribution (i.e., for both mesopores and micropores), provided that the given nanopore structure is compatible with the chosen DFT kernel.

The characterisation of poorly ordered nanoporous and non-rigid adsorbents (e.g., certain MOFs) represents a major challenge. More work is also required on the development of new certified reference materials and improved procedures for routine data analysis.

10 Membership of sponsoring bodies

President: Roberto Marquardt; Vice President: Angela Wilson; Secretary: Assaf Friedler; Past President: Kaoru Yamanouchi; Titular Members: Kristin Bartik, Andrea Russell, Jürgen Stohner, Yun Hin Taufiq-Yap, Frank van Veggel; Associate Members: Kankan Bhattacharyya, Attila Császár, Joaquim Luís de Faria, Vadim Yu. Kukushkin, Álvaro Mombrú Rodríguez, Xin Sheng Zhao; National Representatives: Md. Abu bin Hasan Susan, Jiří Cejka, Horácio Corti, Supa Hannongbua, Sung-Jin Kim, Eduard Klein, Marc Koper, Michal Korenko, Kari Laasonen, James Mdoe, Vladislav Tomišić.

This manuscript (PAC-REP-14-11-17) was prepared in the framework of IUPAC project 2010-009-1-100.


Article note

Sponsoring body: IUPAC Division of Physical and Biophysical Chemistry Division.



Corresponding author: Matthias Thommes, Applied Science Department, Quantachrome Instruments, 1900 Corporate Drive, Boynton Beach, FL, USA, e-mail:

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Note

Republication or reproduction of this report or its storage and/or dissemination by electronic means is permitted without the need for formal IUPAC or De Gruyter permission on condition that an acknowledgment, with full reference to the source, along with use of the copyright symbol ©, the name IUPAC, the name De Gruyter, and the year of publication, are prominently visible. Publication of a translation into another language is subject to the additional condition of prior approval from the relevant IUPAC National Adhering Organisation and De Gruyter.


Received: 2014-11-17
Accepted: 2015-04-30
Published Online: 2015-07-02
Published in Print: 2015-10-01

©2015 IUPAC & De Gruyter

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