Donato Decarolis1,2, Adam H Clark3, Tommaso Pellegrinelli4, Maarten Nachtegaal3, Evan W Lynch5,2, C Richard A Catlow1,2,6, Emma K Gibson7,2, Alexandre Goguet4,2, Peter P Wells2,5,8. 1. Cardiff Catalysis Institute, School of Chemistry, Cardiff University, Cardiff CF10 3AT, U.K. 2. UK Catalysis Hub, Research Complex at Harwell, Rutherford Appleton Lab, Harwell, Oxfordshire OX11 0FA, U.K. 3. Paul Scherrer Institute, Forschungsstrasse 111, 5232 Villigen PSI, Switzerland. 4. School of Chemistry, Queen's University Belfast, David Keir Building, Stranmillis Road, Belfast BT9 5AG, U.K. 5. School of Chemistry, University of Southampton, Southampton SO17 1BJ, U.K. 6. Department of Chemistry, University College London, 20 Gordon Street, London WC1 HOAJ, U.K. 7. School of Chemistry, University of Glasgow, Joseph Black Building, Glasgow G12 8QQ, U.K. 8. Diamond Light Source Ltd., Harwell Science and Innovation Campus, Chilton, Didcot OX11 0DE, U.K.
Abstract
The utilization of operando spectroscopy has allowed us to watch the dynamic nature of supported metal nanoparticles. However, the realization that subtle changes to environmental conditions affect the form of the catalyst necessitates that we assess the structure of the catalyst across the reactant/product gradient that exists across a fixed bed reactor. In this study, we have performed spatial profiling of a Pd/Al2O3 catalyst during NH3 oxidation, simultaneously collecting mass spectrometry and X-ray absorption spectroscopy data at discrete axial positions along the length of the catalyst bed. The spatial analysis has provided unique insights into the structure-activity relationships that govern selective NH3 oxidation-(i) our data is consistent with the presence of PdN x after the spectroscopic signatures for bulk PdN x disappear and that there is a direct correlation to the presence of this structure and the selectivity toward N2; (ii) at high temperatures, ≥400 °C, we propose that there are two simultaneous reaction pathways-the oxidation of NH3 to NO x by PdO and the subsequent catalytic reduction of NO x by NH3 to produce N2. The results in this study confirm the structural and catalytic diversity that exists during catalysis and the need for such an understanding if improvements to important emission control technologies, such as the selective catalytic oxidation of NH3, are to be made.
The utilization of operando spectroscopy has allowed us to watch the dynamic nature of supported metal nanoparticles. However, the realization that subtle changes to environmental conditions affect the form of the catalyst necessitates that we assess the structure of the catalyst across the reactant/product gradient that exists across a fixed bed reactor. In this study, we have performed spatial profiling of a Pd/Al2O3 catalyst during NH3 oxidation, simultaneously collecting mass spectrometry and X-ray absorption spectroscopy data at discrete axial positions along the length of the catalyst bed. The spatial analysis has provided unique insights into the structure-activity relationships that govern selective NH3 oxidation-(i) our data is consistent with the presence of PdN x after the spectroscopic signatures for bulk PdN x disappear and that there is a direct correlation to the presence of this structure and the selectivity toward N2; (ii) at high temperatures, ≥400 °C, we propose that there are two simultaneous reaction pathways-the oxidation of NH3 to NO x by PdO and the subsequent catalytic reduction of NO x by NH3 to produce N2. The results in this study confirm the structural and catalytic diversity that exists during catalysis and the need for such an understanding if improvements to important emission control technologies, such as the selective catalytic oxidation of NH3, are to be made.
Advances in the design and optimization of heterogeneous catalysts for sustainable
transformations and environmental protection require a precise understanding of
structure–activity relationships. However, the structures of nanoparticle catalysts
are extremely dynamic and are sensitive to fluctuations in the environmental conditions
experienced during catalysis, e.g., along the path of a fixed bed
reactor.[1−3] A good example of this
intricate structural selectivity has recently been established for the selective catalytic
oxidation of NH3 (NH3-SCO).[4] Ammonia selective
catalytic reduction (SCR) is a necessary technology for the abatement of
NO compounds from automotive exhausts.[5]
However, the process often leads to unwanted ammonia slip and the current legislation within
the EU limits the emissions of this harmful gas to <10 ppm. Consequently, a
NH3-SCO catalyst is needed downstream of the deNO
process to convert any unreacted NH3 to N2.[6] The
catalyst must be capable of achieving the complete conversion of NH3 to
N2 without overoxidation to NO. Both transition
(e.g., Cu,[7,8]
Fe[9−12]) and
noble (Pt,[13] Ru,[14] Pd,[4,11,15] Rh[16])
metal catalysts have been assessed for their properties toward ammonia oxidation. Transition
metals have shown strong selectivity to N2, but at the required working
temperature (<300 °C), the activity is not sufficient for their implementation in
commercial applications.[6] Conversely, noble metals are both active and
selective at these temperatures and offer a viable solution. There still remains a challenge
with noble metal catalysts—mitigating the overoxidation of ammonia to further
NO products. For example, Pt is among the most active of
catalysts for ammonia oxidation; however, its selectivity to N2 is low (36% at
300 °C).[13] Other noble metal catalysts have been tested and among
which, some of the most promising are Pd-based catalysts. Supported Pd nanoparticles (NPs)
achieve good selectivity toward N2, although there is a strong temperature
dependence on the product distribution. In our recent work, we reported on a unique
structural selectivity during the NH3-SCO.[4] Under reaction
conditions, Pd incorporates nitrogen as a heteroatom at an interstitial site within the FCC
structure, forming PdN. PdN was
found as the dominant species during N2 formation. At higher temperatures, both
surface and bulk Pd oxides are produced, which drive the reaction toward
NO products. These results showed that different phases
were formed during the reaction process, each affecting the selectivity of the catalyst.
However, since concentration and temperature gradients are present along a plug-flow
reactor, different phases may be present at different positions along the bed.[3] The commonly employed single-point spectroscopy measurements might therefore
miss much-sought insight on the reaction process. The inclusion of a spatial component is
necessary to fully understand how a catalyst interacts with the gases in a plug-flow
reactor. In many cases, this involves coupling a fixed bed reactor with a spectroscopic
technique, e.g., UV/vis,[17,18] FTIR,[2,19] Raman,[20,21] and XAFS.[22,23] For example, Doronkin et al. utilized a fixed bed reactor coupled with
spatially resolved operando XAFS studies to probe zeolite catalysts for the
selective catalytic oxidation of NO by NH3.[1] They demonstrated the presence of different catalyst zones, whose position
and composition changes as a function of reaction temperature and gas flow characteristics.
Furthermore, some recent studies are able to combine spatially resolved spectroscopic
methods simultaneously, for example, Dann et al. were able to follow the kinetic
oscillations experienced during CO oxidation using combined XAFS/DRIFTS over
Pd/Al2O3 and found a strong spatial dependence on the nature of the
oscillations.[24] Elsewhere, other groups have tackled this challenge by
measuring the local gas composition using spatially resolved mass spectrometry, for example,
Russell et al. were able to resolve the effect of thermal degradation of
Pt/Al2O3 monolith-supported catalysts for the propylene oxidation
reaction.[25]In the present study, we have utilized a method that merges these approaches, i.e.,
Spaci-FB-XAFS,[3] a minimally invasive technique that allows monitoring
of the gas-phase concentrations as well as the temperatures along a reactor bed
(Spaci-FB),[26,27] with
X-ray absorption fine structure (XAFS) spectroscopy,[3] which provides
information on the local Pd speciation. Using this methodology, it was possible to profile
the catalyst properties along a fixed catalytic bed and obtain both chemical and structural
information on the Pd speciation in NH3-SCO.
Experimental Section
Sample Preparation
A 1.5 wt % Pd/γ-Al2O3 catalyst was prepared by incipient
wetness impregnation of an acidified aqueous solution of palladium nitrate (15.11 wt % Pd,
Johnson Matthey) onto a γ-Al2O3 (Sasol, 140 m2
g–1) at room temperature. The sample was subsequently dried at 100
°C and calcined in air at 500 °C for 2 h. The Pd/Al2O3
catalyst used in this study has been thoroughly characterized with the structural
information reported elsewhere.[4]
SPACI-FB-XAS Measurement
The XAS measurements were performed at the Swiss Light Source (SLS) on the SuperXAS
beamline,[28] around the Pd K edge (24.35 keV, by means of Si(311)
crystal) in transmission mode with 15 cm long ion chambers filled with 1 bar N2
and 1 bar Ar. The catalyst (200 mg), in a 150–250 μm sieve fraction, was
loaded in a quartz reactor (Ø 4 mm), resulting in a bed length of 10 mm. The quartz
reactor was then loaded into the Spaci-FB system, and the gas sampling apertures, the
thermocouple, and the X-ray beam (focused to a spot size of 250 × 250 μm by a
Pt-coated toroidal mirror) were aligned to ensure that coincident measurements were
conducted at the same axial point in the catalyst bed. The effluent gas composition was
simultaneously measured using a mass spectrometer (MS). More details about the Spaci-FB
setup are available elsewhere.[3,26] The experiment procedure consisted of the following: (1) reduction of
the catalyst at 400 °C using 5% H2 in He (40 mL min–1);
(2) cooling down to 100 °C under He and XAFS spectra collection along the axial
direction of the bed at 11 discrete positions; (3) admission of the reactant mixture (0.5%
NH3, 2.5% O2, and 97% He) at 100 °C; (4) after steady state
has been reached, XAFS spectra collection, gas composition analysis, and temperature
measurement were performed at 11 discrete axial positions, with position 0 being the
inlet. The system reached steady state ∼30 min after the introduction of the
reactants, which was checked by measuring the MS response at the end of the reactor bed.
The same procedure was employed after raising the temperature to 175, 300, and 400
°C. For each axial position, XAFS spectra were collected for 10 min, for a total of
1197 spectra. The XAFS data was processed using ProQEXAFS software[29]
from the beamline to obtain a 10 min averaged spectrum for each point. The composition of
effluent gas was measured using a mass spectrometer (Hiden QGA) for H2
(m/z = 2), He (m/z =
4), NH3 (m/z = 17), H2O
(m/z = 18), N2
(m/z = 28), NO (m/z
= 30), O2 (m/z = 32), N2O
(m/z = 44), and NO2
(m/z = 46).
XAFS Data Fit
The merged spectra were analyzed using Athena and Artemis from the Demeter IFEFFIT
package.[30,31] The
FEFF6 code was used to construct theoretical EXAFS signals that included single-scattering
contributions from atomic shells through the nearest neighbors, using O, N, and Pd as
scatterers. The fit was performed using a k-range between 3 and 10.9
Å–1 and an R range between 1 and 3.5 Å. The
amplitude reduction factor (S02) was fixed at 0.74, as obtained from fitting the bulk Pd foil
reference. For temperature >300 °C the Debye–Waller factor was fixed to
0.03 for both the Pd–PdO and Pd–O scattering shells due to the high
correlation with the coordination number and to reduce the number of independent
parameters.
Multivariate Component Analysis
Multivariate curve resolution (MCR) was used to identify the various phases present in
the sample through the analysis of its principal components.[32−34] Here, regularly linear combination fitting of the XANES region of XAS
spectra is undertaken from representative reference compounds, in cases where transient
species or those that are not well reflected by stable reference compounds MCR methods
provide an alternative approach to understand complex speciation
problems.[32,35,36] The linear combination of pure spectral components retrieved from MCR
analysis can be used to describe the condition-dependent speciation during a time-resolved
operando XAS
experimentwhere the
experimental spectrum, μexp, is described as the sum of the product of
the weighted component fractions, ωipure, and the resolved pure spectral components, μipure. As such the decomposition of a data matrix
D(m × n) of m
rows and n columns into matrices of the pure components of the
k present species and the condition evolving concentration profiles
C(m × k) and
ST(k × n)[37]here, the residual
of the linear combination is explicitly given by matrix E. Where linear
combination analysis involves only the least-squares refinement of the component
concentrations, MCR analysis involves the iterative least-squares refinement of both the
concentration and spectral profiles. Using such an approach allows resolving the spectral
signatures of the pure components that describe the changing data matrix supplied. Here,
the initial guess of the pure spectral components was undertaken using the purest variable
approach proposed by Windig et al.[38] However, one should be aware that
the MCR methods are unable to readily separate coevolving components and thus the total
number of MCR-modeled species may be lower than the actual number of species present.
Further to this, non-negativity constraints were applied to both the spectral and
concentration profiles and that the component concentration sum to unity during the MCR
analysis. The analysis was performed using MCR-ALS developed by Tauler et al.[39]
Results
The combined SPACI-FB-XAS measurements during NH3-SCO over the
Pd/Al2O3 provide information on the catalyst activity (from the MS
data) as well as the change in the catalyst structure (through XAFS) at discrete positions
within the catalyst bed.[26] The Pd/Al2O3 catalyst
used in this study has been thoroughly characterized with the structural information
reported elsewhere.[4] Prior to performing NH3 oxidation, the
catalyst was loaded into the Spaci-FB reactor and treated in H2 at 400 °C
before cooling down under He. The XANES analysis of the catalyst after the prereduction
treatment for the axial position, 0 (at the reactor inlet), is reported in Figure and is consistent with nanoparticulate
Pd0.[40−42] The EXAFS analysis
(Figure S1, Table S1) was used to determine an average particle size of 1.9
nm.[43]
Figure 1
XANES spectra of Pd/Al2O3, after reduction, at axial position 0
within the bed compared to Pd foil and PdO reference.
XANES spectra of Pd/Al2O3, after reduction, at axial position 0
within the bed compared to Pd foil and PdO reference.The reactant mixture consisting of NH3, O2, and He was then
introduced to the SPACI-FB-XAS reactor at 100 °C (Figure ), before the onset of NH3 oxidation.
Figure 2
Pd/Al2O3 at 100 °C under reaction conditions. (a) XANES
spectra of Pd/Al2O3 under reaction condition, 100 °C, for the
front and the end of the bed, compared to Pd foil and PdO reference; (b) intensity of
XANES at the whiteline (24 368 eV) and at the PdN
peak (24 388 eV) along the catalyst bed; (c) Pd–Pd and Pd–N
coordination number obtained from EXAFS fit; and (d) Pd–Pd and Pd–N/O
distances obtained from EXAFS fit (the error is present but smaller than the symbol
size). Mass spectrometry data can be found in Figure S2.
Pd/Al2O3 at 100 °C under reaction conditions. (a) XANES
spectra of Pd/Al2O3 under reaction condition, 100 °C, for the
front and the end of the bed, compared to Pd foil and PdO reference; (b) intensity of
XANES at the whiteline (24 368 eV) and at the PdN
peak (24 388 eV) along the catalyst bed; (c) Pd–Pd and Pd–N
coordination number obtained from EXAFS fit; and (d) Pd–Pd and Pd–N/O
distances obtained from EXAFS fit (the error is present but smaller than the symbol
size). Mass spectrometry data can be found in Figure S2.Figure confirms that a predominant interstitial
PdN structure had formed uniformly across the catalyst bed
prior to NH3 oxidation, with the possible presence of an oxide layer on the
surface of the catalyst. The formation of PdN was shown (Figure a; positions 1 and 8) by the higher intensity
of the whiteline at 24 368 eV and the shift of the multiple scattering peaks at
24 390 and 24 420 eV toward lower energy compared to the Pd foil. To assess
changes to the PdN phase as a function of axial position (Figure b), we chose to look at the intensity of the
normalized XANES at 24 368 and 24 388 eV; 24 368 eV is the
“whiteline” maximum and is sensitive to changes to the oxidic/metallic
fraction; 24 388 eV is a position in the XANES profile where
PdN has a greater intensity than both metallic and oxidic
forms. Within the errors of the measurement, there is no statistically relevant variance in
the intensities of these features. Furthermore, the Pd–Pd and Pd–N/O
coordination numbers (Figure c) obtained from the
fit (Figure S3, Table S2) are consistent across the catalyst profile, as is the
expanded Pd–Pd distance of 2.81 Å (Figure d, Table S2) compared to standard 2.74 Å of metallic Pd. All data confirms a
homogeneous level of PdN formation across the catalyst bed.To enhance the information obtainable from the XANES region, multivariate curve resolution
(MCR) analysis was employed using the full series of measurements at the different
temperatures in this study to extract discrete principal components. MCR methods are
particularly powerful in separating and identifying the evolving species within a large data
set. Here, MCR methods are able to provide new insight by resolving the spectral signatures
of three principal components (Figure a), which
can be attributed to oxidic Pd (PdO MCR), metallic Pd (Pd0 MCR), and
PdN (PdN MCR). When applying
this analysis to the data under reaction conditions at 100 °C, it is clear that
PdN is the major phase present, as we have already
identified. However, we are also able to identify a minor amount of both PdO MCR and
Pd0 MCR components (Figure b). Again,
the proportion of these phases is consistent across the spatial profile of the catalyst
bed.
Figure 3
(a) MCR of the identified spectral components: oxidic Pd, PdO (black), metallic
Pd0 (red), and PdN (blue). See Figure S4 for a comparison with reference spectra (b) spatial profile of
the component percentage for Pd/Al2O3 under reaction conditions,
100 °C.
(a) MCR of the identified spectral components: oxidic Pd, PdO (black), metallic
Pd0 (red), and PdN (blue). See Figure S4 for a comparison with reference spectra (b) spatial profile of
the component percentage for Pd/Al2O3 under reaction conditions,
100 °C.At 175 °C (Figure ), prior to full
conversion of NH3, there is a clear spatial variance of the Pd speciation along
the bed. From both the XANES (Figure a,b) and the
EXAFS (Figures c and S5, Table S3), the sample is consistent with PdN
for the first 2 mm of the bed. At increased axial positions, the multiple scattering
features at 24 390 and 24 420 eV shift toward higher energy, indicative of
heteroatom removal from the interstitial sites and an increase in metallic character, also
confirmed by the shift of the bond length from ∼2.8 Å to that of metallic Pd at
2.74 Å. Elsewhere, the change in Pd–Pd coordination number to lower values from
3 mm onwards and the consistent Pd–N/O coordination number are indicative of a
partial oxidation after the bulk nitride structure is disrupted. However, the normalized
intensity of the position at 24 388 eV does not decrease to the levels expected of
either metallic or oxidic Pd, confirming that some Pd nitride remains.
Figure 4
Pd/Al2O3 at 175 °C. (a) XANES spectra of
Pd/Al2O3 under reaction condition, 175 °C, for the front
and the end of the bed, compared to Pd foil and PdO reference; (b) component percentage,
obtained from MCR, for Pd/Al2O3 under reaction conditions, 175
°C, at various positions along the bed; (c) Pd–Pd, Pd–N, and
Pd–N/O coordination number obtained from EXAFS fit; and (d) normalized mass
spectrometry signal along the bed; the intensity of XANES at the whiteline
(24 368 eV) and at the PdN peak (24 388 eV)
along the catalyst bed is shown in Figure S6.
Pd/Al2O3 at 175 °C. (a) XANES spectra of
Pd/Al2O3 under reaction condition, 175 °C, for the front
and the end of the bed, compared to Pd foil and PdO reference; (b) component percentage,
obtained from MCR, for Pd/Al2O3 under reaction conditions, 175
°C, at various positions along the bed; (c) Pd–Pd, Pd–N, and
Pd–N/O coordination number obtained from EXAFS fit; and (d) normalized mass
spectrometry signal along the bed; the intensity of XANES at the whiteline
(24 368 eV) and at the PdN peak (24 388 eV)
along the catalyst bed is shown in Figure S6.When assessing the structural changes using MCR analysis, a similar picture emerges (Figure b); the nitride is dominant at the start of the
bed (∼60%) but decreases at higher axial positions (∼30%), which is
concomitant with an increase in Pd0 MCR (∼50%) and PdO MCR (∼20%)
components. This change is also manifested in the Pd–Pd distance, decreasing from
2.79 to 2.73 Å. A Pd–Pd distance of 2.73 Å is consistent with metallic
Pd–Pd with negligible lattice expansion, as a consequence of heteroatom inclusion
(Figure S5). However, there is still a significant XANES signature consistent
with PdN. These structural changes can be interpreted as a
replacement of a bulk PdN structure by one in which nitrogen is
predominantly at the surface of the Pd NP. Indeed, work on the carbidic forms of Pd have
also reported that there is XANES signature consistent with Pdcarbide in the absence of
Pd–Pd lattice expansion that was also ascribed to surface species.[44] This hypothesis is also consistent with previous studies on Pd boride,[45] where authors have found that a decomposition process takes place at higher temperature
due to a phase separation induced by the oxygen. At this point, we cannot rule out the
possibility that some interstitial nitride resides in the interior of the particle; however,
considering the Pd–Pd distance observed, it would be anticipated that this only a
minor contribution. The other unresolved question is the spatial relationship of the oxide
and nitride species, which still requires further investigation. Notwithstanding, the
identification of this nitride signature is an important insight, as previously we had only
identified the bulk nitride structure. The spatial analysis and the use of MCR have been
crucial in providing this additional information.The SPACI-FB-XAS approach has identified two areas that need further clarification: (i)
what drives the change in PdN structure at 2 mm from the inlet
of the reactor and (ii) how is this structural change linked with the
“light-off” for NH3 conversion?The answers to both points are linked: NH3 oxidation is an exothermic process
and our temperature profiles measured across the bed (Figure S7) illustrate an increase in temperature from inlet to outlet. It is
worth noting that this recorded temperature represents the macroscopic temperature within
the reactor and does not reflect the temperature at the surface of individual particles,
which is likely to be significantly higher. At the front of the bed, before the onset of
significant NH3 oxidation, the catalyst is at a lower temperature and the Pd
remains predominantly PdN. As the exotherm linked to
NH3 oxidation propagates, the temperature increase allows the bulk interstitial
nitrogen to become mobile, and there is a reduction in nitride character and an observable
increase in NH3 conversion and N2 production (Figure
d). However, the XANES MCR analysis confirms that there is
still significant PdN on the surface of Pd NPs. Eventually, the
exotherm raises the temperature enough to cause the sharp light-off for NH3
conversion.As the concentration of NH3 decreases, there is a concomitant drop off in the
rate of reaction and a plateau in the NH3 conversion; the reaction is not zero
order with respect to [NH3], and the conversion of NH3 is dependent
upon its concentration.An analogous experiment was performed at 300 °C (Figure )—the temperature at which higher oxidation products, e.g.,
N2O, first appear. The initial inlet of the reactor (axial position 0) is
predominantly PdN as shown by the XANES (Figure a,b) and EXAFS (Figures c and S8, Table S4) spectra. However, by the second position in the bed (axial
position 1), there is a profound structural change. There is a sharp increase in the
intensity of the XANES main edge transition at 24 368 eV (Figure
a), and the EXAFS is dominated by the primary shell
coordination to oxygen (Figure c). It is clear
that Pd NPs have started the process of forming a bulk PdO phase. The EXAFS data show a
contribution of a distinct oxidePd–Pd scattering distance, with, however, a
relatively small coordination number.
Figure 5
Spatial analysis of Pd/Al2O3 at 300 °C under reaction
conditions. (a) XANES spectra; (b) component percentage, obtained from MCR, for
Pd/Al2O3 under reaction conditions, 300 °C, at various
positions along the bed. (c) Pd–Pd, Pd–N/O, Pd–O (in PdO), and
Pd–PdO coordination number obtained from EXAFS fit; and (d) Pd–Pd
normalized mass spectrometry signal along the bed; the intensity of XANES at the
whiteline (24 368 eV) and at the PdN peak
(24 388 eV) along the catalyst bed is shown in Figure S9.
Spatial analysis of Pd/Al2O3 at 300 °C under reaction
conditions. (a) XANES spectra; (b) component percentage, obtained from MCR, for
Pd/Al2O3 under reaction conditions, 300 °C, at various
positions along the bed. (c) Pd–Pd, Pd–N/O, Pd–O (in PdO), and
Pd–PdO coordination number obtained from EXAFS fit; and (d) Pd–Pd
normalized mass spectrometry signal along the bed; the intensity of XANES at the
whiteline (24 368 eV) and at the PdN peak
(24 388 eV) along the catalyst bed is shown in Figure S9.The catalytic activity (Figure d) shows a sharp
and sustained decrease in NH3 concentration between axial positions 0 and 6.
However, despite the large extent of oxide coverage on the surface, there is still a strong
selectivity toward N2. The XANES MCR (Figure b) analysis demonstrates that despite the strong oxide signatures, through
visually inspecting the XANES and EXAFS, there is ∼ a 20% content of
PdN from axial position 1 onwards. It is increasingly
apparent that the selectivity to N2 is influenced by the residual Pd nitride even
in the presence of significant amounts of oxidic Pd that drive the production to further
oxygenated products.When the temperature was increased further to 400 °C (Figure ), an entirely different catalytic behavior was observed. As the bed
is traversed from inlet to outlet, there are increases to N2, N2O, and
NO until position 4, at which point the level of NO decreases, which is accompanied by a
halt in the production of N2. This suggests a shift in the selectivity of the
catalyst. Observing the MCR data, it is possible to see that there is still a minimal amount
of PdN present (∼5%) up until position 4, which is then
completely consumed. It can be therefore inferred that, at least in the first part of the
bed, a catalytic oxidation of NH3 is taking place, albeit with its selectivity
toward N2 severely impacted by the lack of a suitable amount of
PdN. However, these findings pose an important question:
why does the NO level rise and fall across the length of the catalyst bed? There could be
another set of reactions taking place once the PdN phase is
removed: a reaction of NO with NH3 to produce N2O and the oxidation of
NO to form NO2, with a further reaction of NO2, with NH3 to
form N2O, in a SCR-like behavior. This reaction has already been studied on Pd
nanoparticulate species using H2[46,47] or methane[48,49] as a reducing agent. To the best of our knowledge, no study
has been reported on the capability of Pd to reduce NO
selectively in the presence of ammonia; from the studies that have been performed, it is
entirely plausible that this reaction is possible on Pd, even if to a limited extent.
Whereas the presence of NO2 could not be ascertained, as no changes in the
m/z = 46 response could be observed, it is possible to
observe a steady increase in the N2O production across the bed. From position 4
onwards, we propose: (i) the catalyst undergoes a shift in selectivity, likely caused by the
removal of the PdN phase; (ii) N2 and NO production
stops and NO is progressively consumed to form either NO2 and/or
N2O.
Figure 6
(a) Component percentage, obtained from MCR, for Pd/Al2O3 under
reaction conditions, 400 °C, at various positions along the bed; (b) normalized
mass spectrometry signal along the bed.
(a) Component percentage, obtained from MCR, for Pd/Al2O3 under
reaction conditions, 400 °C, at various positions along the bed; (b) normalized
mass spectrometry signal along the bed.
Conclusions
This study further demonstrates the intricate complexity of heterogeneous catalysis.
Studying the spatial variance of gas composition and catalyst speciation at a series of
isothermal conditions during NH3-SCO on Pd/Al2O3 has
provided additional insights. During the temperature series <400 °C, we have
established:That at the inlet of
the reactor the Pd speciation is predominantly
PdN.As the
reaction exotherm progresses toward the outlet of the reactor, the bulk interstitial N
becomes mobile.The MCR analysis
identifies a nitride phase present, even though the Pd–Pd distance is
indicative that it is absent from the bulk of the particle. This finding is consistent
with the presence of a surface nitride
structure.While the nitride is
present, there is still appreciable selectivity toward N2. As the particle
becomes increasingly oxidized, there is a change in selectivity toward undesirable
NO products.Moreover, at 400 °C, our data are no longer exclusively consistent with
NH3-SCO and can be rationalized by an additional reaction pathway of
NH3-SCR-like; the NH3-SCO process yields
NO products, which are reduced by residual NH3.
There is direct evidence of this process, as the spatial analysis identifies the consumption
of NO, to produce additional amounts of N2O.This study has not only provided crucial insights into NH3-SCO over
Pd/Al2O3 but it also further demonstrates that in
situ and operando analysis that relies on single-point analysis
can miss vitally important information. The need for full spatial analysis is increasingly
apparent and will take on additional importance as more studies, as is described here, are
reported.
Authors: Chun Wong Aaron Chan; Abdul Hanif Mahadi; Molly Meng-Jung Li; Elena Cristina Corbos; Chiu Tang; Glenn Jones; Winson Chun Hsin Kuo; James Cookson; Christopher Michael Brown; Peter Trenton Bishop; Shik Chi Edman Tsang Journal: Nat Commun Date: 2014-12-19 Impact factor: 14.919
Authors: Caomhán Stewart; Emma K Gibson; Kevin Morgan; Giannantonio Cibin; Andrew J Dent; Christopher Hardacre; Evgenii V Kondratenko; Vita A Kondratenko; Colin McManus; Scott Rogers; Cristina E Stere; Sarayute Chansai; Yi-Chi Wang; Sarah J Haigh; Peter P Wells; Alexandre Goguet Journal: ACS Catal Date: 2018-07-26 Impact factor: 13.084