A Perspective on Counting Catalytic Active Sites and Rates of Reaction Using X-Ray Spectroscopy
- 976 Downloads
Identification of active sites and phases in heterogeneous catalysts and the understanding of the reaction mechanism remain highly challenging. In most catalysts, the existence of a multitude of surface species, which are dynamic in relation to reaction conditions, presents a challenge of distinguishing those that are involved in the catalytic cycle from those which are spectators. The emergence of the field of single-site catalysts potentially eliminates these issues, although it can be argued that these systems remain dynamic and that multiple speciation, each a candidate for the active site, often remains a consideration. A perspective on how X-ray spectroscopy and characterization tools in general, can be used to correlate the number of active sites and the rate of their formation, in single-site and redox catalyst systems, is presented. The importance of observing proportionality between spectra features and the reaction rate, to differentiate between active sites and spectator species is discussed. Performing characterisation under catalyticly relevant conditions on structures that are demonstrably representative of actual catalysts is essential.
KeywordsActive-site Spectator species Single-site X-ray spectroscopy Operando Transient experiments
Catalysis, the process of enhancing the rate of a reaction using a material that is unchanged chemically after each reaction cycle, is a scientific field with significant practical application and a source of continued ground-breaking fundamental research. Catalysis is commonly used in the chemical industry and in energy conversion processes. However, the fundamental understanding of the catalytic process is much less developed. Reaction kinetics is fundamental to the study of catalysis; to properly evaluate the properties of a catalyst, rate enhancements are correlated with the number of specific active components, the active sites, within a catalyst. Understanding of the catalytic cycle and identification of the evolution of the catalytically active site throughout the cycle, is of great importance to achieve this fundamental understanding. While identification of the active component and the catalytic cycle is conventionally considered to be relatively simple for homogeneous catalysis, it has long been realised to be far more challenging in heterogeneous catalyst systems.
The concept, determined by Taylor in 1925 , that rate-determining catalytic reaction steps occur on certain surface sites (termed as active sites) and not over the entire solid catalyst surface is key to understanding the complexity of studying heterogeneous catalysts. It is well accepted that even relatively simple surfaces, such as that of a of body-centred cubic metal, are diverse with an array of terraces, steps and defects. Even this simple metal catalyst has multiple chemical species . Within this plethora of structural sites, some or all may contribute to a catalytic reaction, with potentially different activities for each site. Consequently, a significant proportion of a catalyst may be a spectator, with no involvement in the catalytic reaction. Several reviews are dedicated to the discussion of active sites in heterogeneous catalysis and readers are directed to these for a comprehensive discussion [3, 4, 5]. A clear issue in the study of heterogeneous catalysis is the determination of what the structure of the active site is, an obviously essential requirement to then understanding how many there are and what its turnover rate is.
A further complication is that the assumption of the active site being a static entity is often far from true, with it being dynamic and sometimes transient in nature . The structure of catalyst phases and surfaces are influenced by the reaction conditions, such as temperature and pressure that determine the coverage of reactants, intermediates and products. Examples of such structural changes are now numerous, with notable examples being changes in Cu–ZnO structures and interfaces during methanol synthesis (Fig. 1) [7, 8, 9] and surface structural changes of platinum in carbon monoxide oxidation [10, 11]. On the molecular level, some catalyst species in a catalytic cycle, are short-lived with subsequent steps of the cycle occurring at a much faster rate . Identification of such species remains challenging as they are short-lived within the catalytic cycle and do not even exist in an ex situ experiment. Their short-lived nature makes their identification under actual catalytic conditions difficult, if not impossible.
To tackle the significant complexity of dynamic catalyst structures and intermediates, the scientific community has become increasingly reliant on operando characterisation . Specifically, this is defined as the monitoring of catalyst structure, speciation and reaction intermediates while simultaneously performing, and crucially monitoring, a catalytic reaction. Introduction of the term operando has product the much-needed focus on measuring catalysts under catalytic relevant conditions and while the catalyst is performing. Many characterisation techniques can be performed in operando studies, with common examples being infrared and Raman spectroscopy, UV–Vis spectroscopy, X-ray diffraction and X-ray emission/absorption (XES/XAS) spectroscopy. Given the significant scope of this research field, we direct the reader interested in an in detail overview of such characterisation methodologies, to the following review articles on operando characterisation of catalysts [14, 15, 16, 17]. However to summarise, specific and well-thought out operando characterisation experiments provide valuable insights to heterogeneous catalyst structures and surface intermediates under operating conditions. The relevance of such observations to catalytic performance can then be interpreted by relating observed species with recorded catalytic performance. Yet, several challenges, difficulties and even incorrect interpretation of active sites/reaction intermediates are prevalent from operando studies.
An aspect of operando characterisation of catalysts recognised as potentially problematic, is the correlation of observations made using a dedicated reactor for operando characterisation with those from catalytic reactors optimised for kinetic studies or industrial reaction conditions. Often, in the former type of cell, reactions are performed far from realistic conditions, resulting in misrepresentation of surface coverages or reactants and importantly products. An example of the importance of correctly considering realistic reaction conditions is demonstrated by Fischer et al. who simulated relevant partial pressures of water on Co catalyst oxidation in Fischer–Tropsch synthesis . Further the importance of “kinetically-appropriate”, that is sufficient control of reactant mixing, dead-volumes and residence times in operando reactors must be considered [19, 20].
The challenge of catalyst speciation and being able to identify kinetically relevant active sites and reaction intermediates persists with operando characterisation studies. An example of the challenge is illustrated by operando diffuse reflectance infrared spectroscopy of reaction intermediates in the water–gas shift reaction. The presence of high surface coverage of formate species has been suggested as evidence of being a reaction intermediate in the adsorptive-type mechanism [21, 22]. However, detailed work by Burch et al. and Tibiletti et al. has suggested that in many cases, formate exists as a spectator species or it is involved only in a minor reaction pathway [23, 24]. From the perspective of potential active site speciation, debates on the catalytic relevance of isomorphically substituted metals in zeolites or extra-framework species being the active sites active site is another example [25, 26].
At this point it is worth stepping back from the use of catalyst characterisation, ex situ or operando, to elucidate catalyst cycles and active sites, and to be reminded of the importance of kinetic modelling in determining reaction mechanisms and, therefore, information on the active site. Prominent work on fitting micro-kinetic studies into a global kinetic model to validate proposed mechanisms, shows the potential of kinetic modelling [27, 28, 29]. Bond provides eloquent warnings for the catalyst community to place greater emphasis on kinetic modelling of reactivity data to formulate, test and validate surface mediated catalytic reactions . Specifically, Bond concludes that “comprehensive measurement of kinetics is the only reliable way of accessing the transition state, and any mechanism derived from other information must be regarded as tentative until confirmed by kinetics, and any that is not in harmony with them is unacceptable”.
For a comprehensive understanding of catalytic active sites and reaction mechanisms, observations from operando characterisation studies should be correlated with and informed by kinetic studies of the reaction. If catalytically active sites can be monitored by an operando characterisation study, then the observed reaction rate should be correlated with the number of these observed sites. Further, the rate of formation or decay of observed active species and/or reaction intermediates can be monitored, enabling them to be compared with the global rate of the catalytic reaction [12, 31, 32]. Comparisons of such rates help identifying which sites are involved in the reaction mechanism and which are not and thus spectators. Such examples can be found in the literature, prominent amongst these is the isotopic transient kinetic studies with infrared spectroscopy .
Operando techniques can be developed for counting and monitoring the rate of catalytic species. One technique that is particularly powerful for elucidating inorganic catalyst active sites in an element-specific and quantitative manner is XES/XAS spectroscopy , with the ability to focus on specific elements of interest under conditions amenable for operando study. Its potential limitation being that it is an averaging technique with sometimes significant reliance on modelling of data, resulting in criterium of interpretation being open to bias. However, such pitfalls and limitations can and should be mediated by proper correlation of proposed active sites with kinetic data from the reaction. The remainder of this perspectives article will focus on using X-ray spectroscopy to identify, count and determine the rate of catalytic active sites.
2 Single-Site Catalysts; Association of Observable Sites and Reaction Kinetics
An alternative approach to resolving the issue of active site speciation is the preparation of single-site catalysts . The concept is that such catalysts comprise of a single type of active site that is identically chemically and spatially replicated across the catalyst. A classic example of such a catalyst is a zeolite, which is a crystalline alumina silicate, in which the protons are associated with tetrahedrally coordinated aluminium atoms within the crystalline framework [35, 36]. In zeolite H-ZSM-5, the reaction rate for hexane cracking is strictly proportional to the number of framework aluminium sites . The field has many more diverse examples of proposed single-site catalysts, including isomorphic substituted metals in zeotype frameworks, tethered molecular catalysts (analogous to homogeneous catalysts) and the so-called single atom catalyst (adatoms of transition/noble metals on a support structure). The following reviews are recommended for those interested in a fuller overview of the topic of single-site catalysts [37, 38, 39, 40, 41]. Overarching all of these examples and permutations is the advantage of simplifying the determination of the reaction mechanism and catalytic turnover in regard to the single type of active site.
Characterisation of such single-site species has been dominated by transition electron microscopy, which clearly discriminates and identifies the isolated nature of single or small clusters of adatoms . However, highly important aspects of these sites are not easily determined by microscopy, such as the electronic structure and oxidation state, the nature of the co-ordinated ligand species and the support interactions. X-ray spectroscopy can provide information on these important aspects of the active site and can be used in combination with microscopy and other techniques, such as DRIFTS .
It becomes evident, that the concept and reality of single-site catalysis are very difficult to completely align. Che et al. highlight the potential for multiple speciation, in terms of nuclearity, oxidation states and support interactions, in so-called single-site catalysts (an example of silanol groups in amorphous silica is shown in Fig. 2) . The simple observation of isolated atoms cannot be used to identify the unique existence of single-site catalysts, as different chemical species can still co-exist within this context. Very precise and thorough catalyst preparation by Hoffman et al. has shown that such heterogeneity in speciation can be overcome in specific cases , although this is far from common in most reported single-site catalysts. Mirroring earlier discussions about active sites, we must also seriously consider that single-site species are no less dynamic or prone to change during reaction than more conventional catalysts. Such species can well change oxidation state and local coordination geometry under operation. Further to this, agglomeration and the formation of clusters and nanoparticles has been reported during reaction, complicating assertions of single-site catalysis [45, 46, 47, 48]. Nuclearity, while controlled prior to reaction can change during reaction, undoing all the proposed benefits of single-site catalysts for understanding mechanism and catalytic turnover. Notwithstanding these complexities, examples exist which show how single site catalysts contribute to the fundamental understanding of the concept of the catalytically active site and the catalytic process in general [38, 40, 41].
3 When Operando Is a Necessity and When It Fails
Below, we highlight two successful strategies to identify the structure of the active sites. They are based on (i) determining the strict proportionality between the amount of a specific site with catalytic activity and (ii) quantifying the rate of conversion of a specific site after a rapid change in conditions and comparing this to the rate of the steady state conversion.
The Brønsted acid site in zeolites is a typical example of the first case (vide supra). As this site is associated with the tetrahedrally coordinated framework aluminium atom, which can be determined by 27Al MAS NMR, in situ and operando measurements are not needed. When the active sites only form under reaction conditions, such as the gold active sites in acetylene hydrochlorination to vinyl chloride monomer (VMC), an operando measurement is needed to be able to quantify the number of sites (vide infra). A recent operando XAS study of AuClx/C catalysts (where x varies throughout the reaction) for acetylene hydrochlorination to VMC, will be used as an example of how such single-sites can be measured and be proportionately correlated with reaction rate [49, 50].
The second case is more complex, and an example is the Mars–van-Krevelen mechanism, which is well-established in catalysis. The characteristic feature of this mechanism is that some products of the reaction leave the solid catalysts’ surface with one or more constituents of the catalysts’ lattice . The oxidation of carbon monoxide over Pt/CeO2 is a typical example: oxygen from the lattice ends up in carbon dioxide and the resulting vacancy is filled by oxygen from the gas phase (Fig. 3). The formation of each vacancy is accompanied by reduction of two Ce(IV) ions into Ce(III) ones. Because re-oxidation of Ce(III) is much faster than reduction of Ce(IV) (vide infra), the reactive cerium atoms at the metal support interface have oxidation state + IV under reaction conditions and cannot be distinguished from any of the other cerium atoms in the ceria lattice. Measuring the structure of cerium in an operando experiment will not identify the active cerium atoms, because the active ones as well as those of the lattice will have oxidation state + IV. A transient experiment [23, 52], which determines the rates of cerium reduction and re-oxidation enables identifying the role of the Ce(III) ion in the reaction mechanism (vide infra).
4 Counting Gold Chloride Active Sites for Acetylene Hydrochlorination
Acetylene hydrochlorination represents one of two major industrial chemical routes to VCM, the monomer of poly vinyl chloride, which is one of the most used thermoplastics globally . The traditional catalyst for the process is mercuric chloride supported on carbon, but its high vapour pressure under reaction conditions (180–220 °C) and toxicity results in a drive to find an alternative catalyst [54, 55, 56, 57]. A number of supported metal chlorides where screened for the reaction , with a significant advance coming from Hutchings prediction, based on the correlation of previously reported standard electrode potentials of materials and their catalytic performance, that gold would be highly active . Subsequently, this prediction was found to be correct , resulting in a sustained research program by Hutchings, others and industry into gold catalysed acetylene hydrochlorination. The reader is directed to the following reviews on this research and its development to commercialisation [61, 62, 63].
To provide context, we will briefly discuss the background and evolution of thought around the active site for Au/C acetylene hydrochlorination; a fuller discussion can be found in the following perspective paper . Given the correlation with the standard electrode potential and therefore a two-electron process, it is generally agreed that cationic gold is important in the reaction mechanism. Experimental evidence of cationic gold species, in fresh (i. e. prior to catalytic testing) and post reaction samples, has been found with 197Au Mössbauer , X-ray photoelectron spectroscopy  and temperature programmed reduction . While the presence of cationic Au(III) was clear from these studies, conflicting and unclear evidence for the presence of Au(0) and Au(I) was reported. The significant issue being an over-representation of Au(0), due to photoreduction and the recoilless fraction differences between species [50, 67]. No operando characterisation study of Au/C catalysts had been reported. Given the presence of halide reactants (hydrochloric acid) at high temperature, it could be anticipated that gold speciation would change dramatically under operating conditions.
The first ever reported operando XAS study of Au/C catalysed acetylene hydrochlorination was reported by Malta et al. . A range of 1 wt% Au/C catalysts prepared using various preparation methods, known to produce quite different activity profiles for acetylene hydrochlorination, were studied. Reaction conditions of 200 °C with a reactant gas composition of 2.36% acetylene and 2.40% hydrochloric acid balanced with argon were used throughout. Au L3-edge XAS was performed in transmission, across a fixed catalyst bed, while simultaneously monitoring reaction products by mass spectrometry. Significant detail on catalyst structure was elucidated both from the X-ray absorption near edge structure (XANES) and extended X-ray absorption fine structure (EXAFS).
The first key observation was that the gold speciation in the active catalysts, prepared using excess hydrochloric acid and nitric acid in the gold precursor solution or by using an Au–S2O3 complex, comprised of no measurable Au(0) nanoparticles prior to reaction. Evidence for this was from a complete lack of Au–Au distances from EXAFS, no metallic features in the XANES and high resolution HAADF-STEM showing only isolated gold species (Fig. 4). The atomic dispersion of gold was retained on heating and throughout the entire 240 min reaction period during which operando Au L3 XANES and EXAFS were recorded. Inactive catalysts were shown to comprise Au(0) nanoparticles, demonstrating the importance of the isolated gold species.
Further investigation of the nature of these isolated gold species relied on interpretation of the Au L3-XANES, which is dominated by a white line feature associated with the 2p3/2 to 5d transition . The intensity of the normalised white line can be taken as a measure of 5d band occupancy and therefore the oxidation state of the gold. Correlation of the observed normalised white line intensity to known Au(III) and Au(I) (KAuCl4 and [AuCl2]−)  standards allowed for the oxidation state of the isolated gold species to be monitored throughout the reaction. Such methodology is complicated by ligand type and coordination, yet the strategy was suitable as; (a) no other conceivable chemical ligand other than chloride or acetylene analogues could be envisaged and (b) normalised white line height could be correlated well to the Au–Cl coordination number from EXAFS at all reaction times.
In active catalysts prepared from hydrochloric acid and nitric acid solutions, while all gold existed as isolated cations, at least two species existed with different oxidation states [Au(I) and Au(III)]. As the catalysts were heated to reaction temperature a notable global reduction to predominantly Au(I) chloride was observed. The absolute need of studying the system by operando spectroscopy became apparent on the introduction of reactant gases, with an almost instantaneous increase in gold white line being observed, indicating rapid oxidation of Au(I) to Au(III) chloride (Fig. 5a). As previously observed, the catalytic performance of these Au/C catalysts prepared from chloride precursors in excess hydrochloric acid and nitric acid exhibited an induction period, with activity slowly climbing over a 160 min to a steady state VCM productivity. A key observation was that during this induction period the Au L3 XANES showed a steady reduction of Au(III) back towards Au(I), suggesting that Au(I) species were important within the catalytic cycle. Additional evidence for the importance of Au(I) species in the reaction could be found from the operando study of the Au–S2O3 catalyst, which was found to be stable in the Au(I) oxidation state under reaction conditions combined with immediate catalytic activity (i.e. no induction period).
As repeatedly asserted throughout this perspectives paper, due to multiple and evolving catalyst speciation, a proportionality between proposed active sites and catalytic activity is required to confidently assign mechanism and active site. Such proportionality was demonstrated, for the proposed Au(I) site in acetylene hydrochlorination, from the linear correlation of normalised white line height against VCM productivity for the individual catalysts throughout the induction period (Fig. 5b). Further, the observed correlation was found to be comparable for all active catalysts prepared with the chloride or thiosulphate ligands (Fig. 5c). Therefore, all the active catalysts investigated in the study shared a common structure and thus, likely, mechanism, which could be further studied.
Several mechanisms have been proposed for gold acetylene hydrochlorination, with Au(III), Au(0) and Au(I) each being proposed as active sites. One particular mechanism, which postulated oxidative addition of hydrochloric acid across Au(I) chloride to give an Au(III) chloride, followed by acetylene addition and reductive elimination of VCM, had been considered viable; other than for the lack of experimental evidence, at that point, for Au(I) being present in the active catalysts . The observed correlation of Au(I)Cl with activity in the operando study and that global gold oxidation state remained between (I) and (III) provided evidence for the relevance of Au(I) chloride in the reaction and suggests that Au(III) is also involved in the reaction cycle in agreement with the postulated redox mechanism.
The clear proportionality between a spectroscopic feature of a single-site catalyst with catalytic activity during the evolution of a reaction shows that an active site can be identified and counted. However, we must consider that although an active site has been identified, the full reaction mechanism is far from been fully understood. A lot of detail of the gold speciation remains unknown, along with the potential importance and role of the carbon support within the reaction . The cause of dramatic gold oxidation on introduction of the reactant gases and the induction period observed in specific catalysts remains unknown. Also, although the number of Au(I) chloride sites can be correlated with rate, direct evidence of the redox mechanism remains challenging to observe in a steady state operando study. In general, the catalyst remains in its resting state, thus prior to the rate-limiting step, what would be what is observed under steady state conditions. In this case this would be Au(I) chloride prior to oxidative addition of hydrochloric acid. Evidence of subsequent steps would require studies away from steady state conditions and cannot be captured in a classical operando experiment.
5 Transient Experiments; Correlating Rates of Active Site Transformation and Global Reaction Rates: The Case of Carbon Monoxide Oxidation
Carbon monoxide oxidation is a much-studied reaction to characterise the structure and activity of catalyst surfaces . It is also a relevant reaction in exhaust gas clean-up and purification of streams of hydrogen. Also, hydrogen for use in PEM fuel cells must contain levels of carbon monoxide below 10 PPM to prevent poisoning of the platinum electrode. One way of doing this is by preferential oxidation: carbon monoxide is oxidized, without reacting hydrogen. Much researched materials for these reactions are noble metals on support, typically alumina and/or ceria, the latter, supported with platinum particles, is discussed here. Ceria is an often-used support, because of its oxygen storage capacity ; under oxygen lean conditions, the support provides oxygen thereby reducing Ce(IV) to Ce(III). On Pt/CeO2, carbon monoxide oxidation occurs at the metal-support interface (Fig. 3) and the reaction orders in carbon monoxide and oxygen (both close to zero) suggest non-competitive adsorption on sites that are virtually all covered.
The catalyst described here contains platinum particles of about 1 nm in diameter that are made by a colloidal method. Under reaction conditions, platinum is fully reduced and fully covered with carbon monoxide, and the discussion here will solely focus on how the structure of cerium changes during one catalytic cycle. In one such cycle, oxygen needs to be dissociatively adsorbed and each atom reacted to adsorbed carbon monoxide. The gas composition is repetitively changed from catalytic (both oxygen and carbon monoxide) to containing only carbon monoxide (Fig. 5). The temperature was varied between 24 and 44 °C and the conversion was kept below 10%, which ensures constant conditions throughout the whole capillary reactor. Using Ce 2p3/23d5/2 RXES, recorded using a von Hamos detector , the cerium oxidation state was determined quantitatively and in a time-resolved manner.
Figure 6 (left panel) shows the that under catalytic conditions at 24 °C, the concentration of Ce(III) is stabilized at almost two percent, illustrative of the sensitivity of the experiment . Directly after the switch to the feed containing only carbon monoxide, there is first a fast, then a slower increase in Ce(III) concentration. Because of its oxygen storage capacity, carbon monoxide oxidation continues even in the absence of gas phase oxygen. The rapid switch back to catalytic conditions, causes a very rapid re-oxidation of this formed Ce(III). The constant concentration of about 2% Ce(III) in the operando experiment is not reactive towards oxygen and is therefore not participating in the reaction. The Arrhenius plots (Fig. 6 right panel) of the initial rates of Ce(III) formation directly after switching off the oxygen component of the feed and of the steady state carbon monoxide oxidation rates are the same within a factor of about 1.5. This similarity indicates that the initial rate of cerium reduction is coupled to the rate-limiting step in the steady state oxidation and forms the basis of the mechanism illustrated in Fig. 3.
The reaction of carbon monoxide with an oxygen atom of the support leads to reduction of two Ce(IV) to two Ce(III). The rate at which this occurs equals the steady state rate of carbon monoxide oxidation. The re-oxidation by oxygen from the gas phase very rapidly re-oxidizes Ce(III) back to Ce(IV). Thus, the active cerium atoms are the ones that are reduced directly after the switch from catalytic to carbon monoxide only. Any Ce(III) that is not changing its oxidation state under either of the two conditions is not involved in the catalytic cycle and is a spectator species. In other words, the Ce(III) that is observed in the operando experiment is a spectator species. Ce(III) that is part of the catalytic cycle is too short-lived to be detected in the operando experiment. Of course, the (close to) zero order in oxygen indicates that all active sites for oxygen activation are covered, predicting the steady state Ce(IV) oxidation state.
6 A Perspective on Counting Catalytic Active Sites and Rates of Reaction
6.1 Reaction Kinetics
The importance of counting active sites and correlating rates associated with these sites by in situ and operando X-ray spectroscopy, towards a fuller understanding of catalytic reaction mechanisms is clear. Such studies are by no means trivial, but when executed correctly, can prevent miss-identification of spectator species as active sites and provide compelling evidence of the correct identification of active species. In both examples, the structure of the catalyst varies with reaction conditions. When this is the case, special care should be given to precisely controlling the conditions under which the experiment is executed. Measuring under conditions that are relevant to actual reaction conditions, such as in an operando and well-executed in situ experiment is a necessity. However, both experiments also illustrate that this may be insufficient to identify what is the actual active site. The determination of quantitative correlations is essential. The in situ determination of the number of Au(I) and its quantitative correlation to the rate of acetylene hydrochlorination gives confidence that this is the actual active species. Such quantitative correlation enables identification of the structure of the active site right before the rate-limiting step.
The example of carbon monoxide over Pt/CeO2 also illustrates when an operando experiment is insufficient to identify what are the species that participate within a catalytic cycle. Within one catalytic cycle, cerium sequences between oxidation states + III and + IV. As obvious from the (almost) zero order in oxygen, under reaction conditions, the catalyst surface is fully covered in oxygen, thus predicting the cerium + IV oxidation state as resting state within one catalytic cycle. The transient experiment, measuring the kinetics of cerium reduction after switching off the flow of oxygen identified the rate of Ce(III) to be the same as that of the steady state carbon monoxide oxidation. The much faster re-oxidation to Ce(IV) causes cerium to be in oxidation state + IV under steady state conditions demonstrating the existence of Ce(III) spectator species.
As the structure of a catalyst is a function of its precise conditions, in many cases, pre- and post-reaction characterisation does not yield much insight into what is the relevant structure of a catalyst. The interplay between reaction kinetics and characterization in the time domain, under conditions that are relevant to those of the actual catalytic process, may yield the desired quantitative correlation between structure and performance. Understanding of the reaction mechanism by performing reaction kinetics is necessary input for the design of the right experiment. Such insight makes it possible to study the reaction step that affects activity and of course selectivity. One can dissect a catalytic reaction into its fundamental steps of adsorption, (surface) reaction, and desorption, and, for simplicity, assuming Langmuir–Hinshelwood kinetics. The rate- and selectivity-determining steps may be either one of these three and it is very obvious that when one is interested in understanding catalyst performance, it is those steps that should be studied, once again illustrating the importance of reaction kinetics in determining the correct characterisation experiment. Echoing the statement of Bond (in Sec. 1) emphasizing the role of kinetics in assessing the transition state and mechanism, a welcoming advancement is the direct performing of kinetics using one or more of the experimental characterization tools that is or are becoming available. Combining reaction kinetics with structural analysis enables quantifying the relation between the transition state and structure of active site or phase and reactive intermediate.
6.2 Reactive Materials
An essential concept when performing in situ and operando studies of catalyst systems is the importance and care required in catalyst preparation. The preparation parameters control the catalyst structure at all length scales. The degree of speciation of different macro- and microstructures within a single sample is an essential factor in determining catalyst performance. On a basic level from a characterisation point of view, it is important to understand catalyst preparation to avoid the presence of preventable spectator species and limit the complexity of broad structural speciation. From a more sophisticated perspective catalyst design can be used pro-actively to prepare model catalysts that maximizes the presence of the proposed active sites, albeit at the expense of practical application or absolute catalytic turnover. While there are many examples of designed model catalysts that have been studied and compared with ex situ characterisation [4, 74, 75], relatively few have been coupled with operando studies. An excellent example of the latter is the work by Bowker and co-workers who designed core–shell MoOx/Fe2O3 catalysts, where single surface monolayers of MoOx, proposed as the active species in conventional Fe2(MoO4)3, could be studied by XAS without the Mo K edge data being swamped by spectator bulk molybdenum species predominant in Fe2(MoO4)3 catalysts [76, 77]. A combination of well-designed operando and transient characterisation experiment coupled with catalyst design is a powerful tool for studying active sites in heterogeneous catalysts.
While single-site catalysts are possibly the best example of having a defined and controlled active site, it should be accepted, and even embraced, that these systems are still quite complex. As discussed (vide supra) and in detail by others [37, 43], there is far more to discover and understand than the simple fact that isolated metal or other potential active site species exist. The role of support interactions, ligands and site coordination, oxidation states and nuclearity should be considered, especially how such parameters alter during reaction. Further it must be demonstrated which highly dispersed species are catalytically active. Again, combination of rational catalyst design, suitable characterisation of species under operation and the demonstration of a proportionality between hypothesised species and reaction rates is required for full understanding. Finally, even if a complete appreciation of a model system has been obtained, this is still not a guarantee that the actual catalyst and process are understood. An interplay between studying model systems and actual catalyst should be an essential ingredient of studies focusing on understanding structure–performance relations in catalytic processes.
G.J. Hutchings, and members of the UK Catalysis Hub and Cardiff Catalysis institute are thanked for their contribution to the study of gold acetylene hydrochlorination catalysis and related operando studies.
- 1.Taylor HS (1925) Proc R Soc Lond A 108:105Google Scholar
- 2.Templeton DM, Ariese F, Cornelis R, Danielsson LG, Muntau H, Van Leeuwen HP, Lobinski R (2000) PURE Appl Chem 72:1453Google Scholar
- 3.Somorjai GA, McCrea KR, Zhu J (2002) Top Catal 18:157Google Scholar
- 4.Vedrine JC (2014) Appl Catal A 474:40Google Scholar
- 6.Petrov AW, Ferri D, Krumeich F, Nachtegaal M, van Bokhoven JA, Krocher O (2018) Nat Commun 9:1Google Scholar
- 9.Grunwaldt J-D, Molenbroek AM, Topsoe N-Y, Topsoe H, Clausen BS (2000) J Catal 194:452Google Scholar
- 12.Kopelent R, van Bokhoven JA, Szlachetko J, Edebeli J, Paun C, Nachtegaal M, Safonova OV (2015) Angew Chem Int Ed 54:8728Google Scholar
- 13.Weckhuysen BM (2003) Phys Chem Chem Phys 5:4351Google Scholar
- 16.Weckhuysen BM (2002) Chem Commun (Cambridge) 97Google Scholar
- 18.Fischer N, Clapham B, Feltes T, van Steen E, Claeys M (2014) Angew Chem Int Ed 53:1342Google Scholar
- 20.Grunwaldt J-D, Caravati M, Hannemann S, Baiker A (2004) Phys Chem Chem Phys 6:3037Google Scholar
- 21.Goscianska J, Ziolek M, Gibson E, Daturi M (2010) Appl Catal B 97:49Google Scholar
- 22.Andreeva D, Kantcheva M, Ivanov I, Ilieva L, Sobczak JW, Lisowski W (2010) Catal Today 158:69Google Scholar
- 23.Burch R, Goguet A, Meunier FC (2011) Appl Catal A 409–410:3Google Scholar
- 24.Tibiletti D, Meunier FC, Goguet A, Reid D, Burch R, Boaro M, Vicario M, Trovarelli A (2006) J Catal 244:183Google Scholar
- 25.Signorile M, Crocella V, Damin A, Rossi B, Lamberti C, Bonino F, Bordiga S (2018) J Phys Chem C 122:9021Google Scholar
- 27.Campbell CT (1994) Top Catal 1:353Google Scholar
- 28.Campbell CT (2017) ACS Catal 7:2770Google Scholar
- 30.Bond GC (2008) Catal Rev Sci Eng 50:532Google Scholar
- 31.Bravo-Suarez JJ, Bando KK, Lu J, Haruta M, Fujitani T, Oyama ST (2008) J Phys Chem C 112:1115Google Scholar
- 32.Iwasawa Y (2003) J Catal 216:165Google Scholar
- 33.van Bokhoven JA, Lamberti C (2016) X-ray absorption and X-ray emission spectroscopy: theory and applications, vol. 1. Wiley, Chichester)Google Scholar
- 34.Coperet C, Basset J-M (2007) Adv Synth Catal 349:78Google Scholar
- 35.Boudart M (1997) J Mol Catal A 120:271Google Scholar
- 36.Haag WO, Lago RM, Weisz PB (1984) Nature (London) 309:589Google Scholar
- 37.Gates BC, Flytzani-Stephanopoulos M, Dixon DA, Katz A (2017) Catal Sci Technol 7:4259Google Scholar
- 40.Thomas JM, Raja R (2006) Top Catal 40:3Google Scholar
- 41.Wang A, Li J, Zhang T (2018) Nat Rev Chem 2:65Google Scholar
- 43.Che M, Mori K, Yamashita H (2012) Proc R Soc A 468:2113Google Scholar
- 44.Hoffman AS, Debefve LM, Zhang S, Perez-Aguilar JE, Conley ET, Justl KR, Arslan I, Dixon DA, Gates BC (2018) ACS Catal 8:3489Google Scholar
- 46.Liu L, Zakharov DN, Arenal R, Concepcion P, Stach EA, Corma A (2018) Nat Commun 9:1Google Scholar
- 47.Deng W, Frenkel AI, Si R, Flytzani-Stephanopoulos M (2008) J Phys Chem C 112:12834Google Scholar
- 48.Xiong H, Lin S, Goetze J, Pletcher P, Guo H, Kovarik L, Artyushkova K, Weckhuysen BM, Datye AK (2017) Angew Chem Int Ed 56:8986Google Scholar
- 50.Malta G, Freakley SJ, Kondrat SA, Hutchings GJ (2017) Chem. Commun. 53:11733Google Scholar
- 51.Doornkamp C, Ponec V (2000) J Mol Catal A 162:19Google Scholar
- 52.Oyama ST, Li W (1999) Top Catal 8:75Google Scholar
- 53.Braun D (2004) J Polym Sci A 42:578Google Scholar
- 54.Agnew JB, Shankar HS (1986) Ind Eng Chem Prod Res Dev 25:19Google Scholar
- 55.Bremer H, Lieske H (1985) Appl Catal 18:191Google Scholar
- 56.Hutchings GJ, Grady DT (1985) Appl Catal 17:155Google Scholar
- 57.Hutchings GJ, Grady DT (1985) Appl Catal 16:411Google Scholar
- 58.Shinoda K (1975) Chem Lett 4:219Google Scholar
- 59.Hutchings GJ (1985) J Catal 96:292Google Scholar
- 60.Nkosi B, Coville NJ, Hutchings GJ (1988) Appl Catal 43:33Google Scholar
- 61.Davies CJ, Miedziak PJ, Brett GL, Hutchings GJ (2016) Chin J Catal 37:1600Google Scholar
- 62.Hutchings GJ (2014) Top Catal 57:1265Google Scholar
- 64.Nkosi B, Coville NJ, Hutchings GJ, Adams MD, Friedl J, Wagner FE (1991) J Catal 128:366Google Scholar
- 65.Liu X, Conte M, Elias D, Lu L, Morgan DJ, Freakley SJ, Johnston P, Kiely CJ, Hutchings GJ (2016) Catal Sci Technol 6:5144Google Scholar
- 66.Conte M, Davies CJ, Morgan DJ, Carley AF, Johnston P, Hutchings GJ (2014) Catal Lett 144:1Google Scholar
- 68.Chang S-Y, Uehara A, Booth SG, Ignatyev K, Mosselmans JFW, Dryfe RAW, Schroeder SLM (2015) RSC Adv 5:6912Google Scholar
- 69.Conte M, Carley AF, Heirene C, Willock DJ, Johnston P, Herzing AA, Kiely CJ, Hutchings GJ (2007) J Catal 250:231Google Scholar
- 70.Engel T, Ertl G (1979) Adv Catal 28:1Google Scholar
- 71.Kaspar J, Fornasiero P, Graziani M (1999) Catal Today 50:285Google Scholar
- 74.Budroni G, Kondrat SA, Taylor SH, Morgan DJ, Carley AF, Williams PB, Hutchings GJ (2013) Catal. Sci. Technol. 3:2746Google Scholar
- 75.Volta JC, Portefaix JL (1985) Appl Catal 18:1Google Scholar
- 76.Brookes C, Wells PP, Dimitratos N, Jones W, Gibson EK, Morgan DJ, Cibin G, Nicklin C, Mora-Fonz D, Scanlon DO, Catlow CRA, Bowker M (2014) J Phys Chem C 118:26155Google Scholar
- 77.Brookes C, Bowker M, Gibson EK, Gianolio D, Mohammed KMH, Parry S, Rogers SM, Silverwood IP, Wells PP (2016) Catal Sci Technol 6:722Google Scholar
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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.