The surface properties of powders and fibres are important parameters in the handling and performance of a wide range of solid materials. Inverse gas chromatography (IGC) is a gas phase technique, first developed over 40 years ago, to study the surface and bulk properties of particulate and fibrous materials.
IGC has the potential to unlock some of the more difficult to measure physico-chemical properties of solid materials such as powder surface energies, acid/base/polar functionality of surfaces and phase transition temperatures/humidities. In addition, kinetic effects such as diffusion and permeability may also be measured.
However, until recently most IGC studies have been carried out upon ‘home-built’ pieces of apparatus, often employing manual or semi-automated experimental methods. This has led to a diversity of results in the literature, often seemingly contradictory, due to the differences in instrument design, methodology, sample preparation and individual operator skill.
Surface Measurement Systems Ltd has recently developed the world’s first commercial inverse gas chromatography instrument – iGC. This instrument has been specifically designed to address many of the issues faced by physical properties researchers, including fully automated operation and the ability to measure samples in a controlled humidity environment.
This article gives a brief description of the technique, the instrument and some examples of its application to a range of polymeric materials analysis problems.
The Inverse Gas Chromatography Technique
The principles of IGC are very simple, being the opposite of a conventional gas chromatographic (GC) experiment. An empty column is uniformly packed with the solid material of interest, typically a powder, fibre or film.
A pulse or constant concentration of gas is injected down the column at a fixed carrier gas flow rate and the retention behaviour of the pulse or concentration front is then measured by a detector.
A series of IGC measurements with different gas phase probe molecules allows access to a wide range of physico-chemical properties of the solid sample. The fundamental property measured by IGC from which most of these properties are derived is known as the retention volume VN.
This is a measure of how strongly a given gas or vapor probe molecule interacts with the solid sample. From a series of measurements of VN various thermodynamic and kinetic parameters can be readily calculated.
The Inverse Gas Chromatography Instrument
A cutaway schematic of the SMS iGC is shown in the figure below. The iGC consists of a control PC, a flow control module, a probe gas oven, and a sample column oven. The instrument incorporates a number of innovative design features including the ability to use up to ten different probe molecules in any one experiment and the ability to condition the solid sample under a wide range of humidity (or solvent) and temperature conditions.
The probe oven keeps all vapors at a specified temperature in order to facilitate accuracy and repeatability of injections. Another probe molecule, also located in the probe oven, can be used for a “background” concentration.
This can be any vapor. In the case of water, experiments at different relative background humidities are posssible. A separate sample column oven allows the sample to be studied over a very wide temperature range.
The instrument is designed for maximum flexibility, allowing both single peak and frontal injection methods to be employed, all with background concentration control. Thermal conductivity (TCD) and flame ionization (FID) detectors are fitted as standard, however it is also possible to add further detectors such as mass spectrometers for applications where volatile compounds are released from the sample being studied.
Surface Measurement Systems Ltd have also developed a column packing accessory which provides a significant advantage in both the time and repeatability of the packing of powdered samples into columns.
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Surface Energy and Fibre-Polymer Matrix Interactions
The quality and performance of carbon fibre/polymer composites depends strongly on the interaction of the components at their interface. To enhance the adhesion properties at the interface, fibres are often exposed to surface treatments such as oxidation and sizing.
Webinar: Surface Characterization of Nanomaterials by IGC
However, the sizing agent and polymer have to be mutually compatible to achieve an improved interaction. Polymer-fibre interactions are typically described by adhesion and cohesion phenomena. Both properties depend on the energetic situation on the surface of the individual compounds which is commonly expressed by the surface energy.
To measure the surface energy of solid materials with IGC, a series of pulsed injections are made through the column, packed with the solid under investigation, using different probe gas molecules.
In the case of the dispersive (non-specific) component of surface energy (ãD), these probe molecules will be a series of alkanes with different carbon chain lengths while the specific energy (ãsp) is measured using polar probes. The rentention time of each probe is related to the strength of interaction.
The higher the retention time the stronger the interaction and the higher the surface energy. IGC offers several benefits over conventional techniques such as contact angle measurements since it is more sensitive, the distribution of active sites can be investigated, the surface to bulk ratio can be controlled and samples can be investigated without having to undergo any physical changes (e.g. if the sample is a powder no compaction necessary).
In the current example three different treated carbon fibres (untreated, oxidised, sized and oxidised) and three thermoplastic polymers were investigated by IGC. The dispersive and specific surface energies obtained are shown in Figure 1.
Experiments were carried out at infinite dilution (low concentrations of vapour interacting with high energy sites on the surface) which explains the relatively high total surface energies. However, the infinite dilution regime is highly sensitive to small changes and has therefore been successfully applied for the analysis of batch-to-batch problems.
Figure 1. Dispersive, specific and total surface energies for carbon fibres and polymers.
The surface energy of the individual components can now be used to estimate the interaction between each polymer-fibre pair. Such an estimation is obtained from the calculation of the work of adhesion, WA by applying Eq.1.
Numbers 1 and 2 denote polymer and fibre, respectively. For comparison practical adhesion measurements have been carried out by fibre pull out test. The results of these measurements (shear strength) have been correlated with the values for the work of adhesion estimated from surface energy measurements which is illustrated in Figure 2.
Figure 2. Correlation between work of adhesion values calculated for the different carbon fibre – polymer composites (based on the surface energies obtained by IGC) and interfacial shear strength numbers (obtained from fibre pull-out tests).
For all three polymers predicted adhesion increases with shear strength when fibres are oxidized. Additional sizing does not increase the shear strength although predicted adhesion values are higher, most likely due to an incompatibility between polymer and sizing.
Glass Transition Temperature of Polyvinylpyrrolidone (PVP)
IGC is a sensitive technique for the detection and determination of first and second order phase transitions such as melting and glass transitions, respectively. Figure 3 shows schematically a typical glass transition event.
Initially, at low temperatures the interaction between vapor probe and polymer is dominated by surface adsorption (A-B). When the temperature is increased there is more and more bulk absorption due to an increased molecular motion.
The latter is a slow, kinetically controlled process and one observes a deviation from linearity (B-C). This can be taken as the onset for a glass transition.
Figure 3. Schematic illustration of glass and melting transition in an IGC retention diagram.
The glass transition temperature depends strongly on environmental conditions and material properties such as humidity and morphology. Water is well known to act as a plasticising agent for many organic materials.
In contrast to the classical techniques for the characterisation of Tg, such as differential scanning calorimetry (DSC) and Dynamic Mechanical Thermal Analysis (DMTA), IGC does provide an accurate and very sensitive method to investigate Tg under different relative humidity conditions.
In the current example the glass transition temperature of PVP K25 was determined at 45% RH. The retention curve in the vicinity of the glass transition is shown in Figure 4.
Figure 4. Glass transition of PVP K25 at 45% RH, measured with 1-butanol as vapour probe.
A glass transition temperature of 57.3 °C is obtained. This is in good agreement with the literature value, estimated by DSC to be 58.4 °C at the same humidity.
Crystallinity (Amorphous Content) of Polyethylene
Discontinuities in the temperature variation of the retention volume have been related not only to glass transitions but also to melting of the stationary phase. This is typically observed as a shift in the linear portion of the retention curve above the glass transition (F-G in Figure 3).
Guilett and Stein showed that the retention behaviour in the melting transition can be quantified and related to the crystallinity of polymers. In the current example high density polyethylene has been investigated. The melting curve is shown in Figure 5.
Figure 5. Melting transition of HD polyethylene measured with decane as vapour probe.
The onset of the melting point has been found to be 212°C which is in good agreement with literature values. To obtain the crystallinity of the polymer the linear region above the melting point is extrapolated backwards.
The crystallinity is then calculated from the ratio between the theoretical retention volume Vg’ (obtained from the extrapolated curve) and the retention volume before the melting transition Vg at the same temperature (Eq. 2).
This assumes that the melt is entirely amorphous and any deviation from linearity is a measure for the change in crystallinity. For the polyethylene sample in this study the crystallinity was found to be 64% which is consistent with the crystallinity range of 60-80% for a typical high density polyethylene.
Solubility Parameters of PMMA
The solubilty parameter was originally defined by Hildebrand and Scatchard to describe polymer-solvent interactions using thermodynamic theory of regular solutions. There are different approaches for the determination of the solubility parameters (sometimes also called cohesion parameters) which are usually either based on the Hansen theory (where it is split into dispersive (äd), polar (äp) and hydrogen-bonding (äH) contributions) or on the Hildebrandt theory to calculate the total solubility parameter.
In the current example the Hildebrand solubility parameter has been determined for polymethyl methacrylate (PMMA). In this experiment retention volumes are measured for various vapor phase probe molecules which have a considerable bulk interaction with the solid component.
The retention volume can be transformed into an activity coefficient from which the Flory-Huggins interaction parameter ÷ can be calculated. If the solubility parameters of the probe molecules, ä1 are known the solubility parameter of the sample, ä2 can be calculated using Eq. 3.
The other parameters in this equation are: the gas constant R, the measurement temperature T and the molar volume V1 of the vapour probe. The linear form of this equation allows the solubility parameter of the polymer to be obtained from the slope of the plot shown in Figure 6.
Figure 6. Solubility parameter plot for PMMA at 363 K. The different experimental points represent the various probe molecules used.
A solubility parameter of 17.6 MPa1/2 was obtained which is in good agreement with literature values of 17.3 to 21.3 MPa1/2. The Hildebrand approach can be taken even further for the study of polymer-polymer interactions in ternary systems.
Degree of Cross Linking of Ethylene-Propylene Rubber
Price et al. utilised IGC to investigate the degree of cross-linking (cross-link density v) of ethylene-propylene rubber by a finite concentration approach. As with the study of solubility parameters, the Flory-Huggins theory is applied but an additive contribution due to the elastic free energy of deforming the network on swelling is introduced, leading to the Flory-Rehner equation (Eq.4).
In this equation V1 and V2 are the molar volume of the probe and the specific volume of the polymer, a is the activity coefficient, r the number of segments per polymer chain, Ö1 and Ö2 the volume fractions of probe and polymer and ÷ is the Flory-Huggins interaction parameter.
The polymer was cross-linked by using 60CO ã-radiation at two different doses. Hexane was used as a probe and injected in different concentrations. Figure 7 shows a plot of the cross-link density n versus the volume fraction of the probe. The latter is proportional to its concentration.
Figure 7. Dependence of cross-link density on hexane concentration for ethylene-propylene rubber.
It can be seen that n increases with concentration before reaching a plateau. This is most likely due to the fact that n cannot be determined accurately before the network is fully swollen at elevated concentration.
This also supports the idea that experiments should be carried out at finite concentration rather then at infinite dilution as usually preferred for the determination of the Flory-Huggins interaction parameter.
Diffusion and Activation Energy of Diffusion for Polyethylene
The diffusion coefficient is an important property since it provides valuable information about bulk absorption behaviour of solvents in polymers. Various approaches to calculating this property are described in the literature.
A simple and fast determination of the diffusion coefficient uses the van Deemter approach. For this calculation the retention time of the probe molecule is measured at different carrier gas flow rates.
The retention time is then transformed into the theoretical plate height H, which is plotted versus the linear flow rate u. The resulting curve is fitted to the van Deemter equation as shown in Figure 8.
A, B and C are constants describing different diffusion regimes. C is related to all non-equilibrium properties and is therefore directly related to the bulk diffusion constant.
Figure 8. Dependence of the theoretical plate height from the linear flow rate (van Deemter curve).
In the above example the diffusion of octane into a high density polyethylene powder was measured. The diffusion coefficient for octane yields to 8.12*10-6 cm2/sec. If the experiment is carried out at different temperatures the activation energy of diffusion can be obtained.
A low activation energy corresponds to easy penetration of the vapour into the bulk structure, conversely higher energies correspond to the opposite.
The above data demonstrates the potential of iGC as a technique available to researchers within the polymer industry. Advances in instrumentation have made it possible to measure physicochemical properties of polymers which were previously very difficult or impossible to perform.
In particular it is now possible to measure surface and bulk properties of polymers reproducibly and accurately in the presence of humidity. Such parameters include surface energies, acid-base numbers, enthalpies, entropies, glass transition temperatures, solubility parameters, degree of cross linking, crystallinity, Flory-Huggins interaction numbers, diffusion coefficients and many more. It is also possible to study polymers in different forms, whether as a powder or a coated film.
This information has been sourced, reviewed and adapted from materials provided by Surface Measurement Systems Ltd.
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