Ian J McPherson1, Philip A Ash1, Lewys Jones2, Aakash Varambhia2, Robert M J Jacobs3, Kylie A Vincent1. 1. Department of Chemistry, Inorganic Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QR, U.K. 2. Department of Materials, University of Oxford, 16 Parks Road, Oxford OX1 3PH, U.K. 3. Department of Chemistry, Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, U.K.
Abstract
The oxidation of adsorbed CO is a key reaction in electrocatalysis. It has been studied extensively on both extended model surfaces and on nanoparticles; however, correlation between the two is far from simple. Molecular insight into the reaction is often provided using in situ IR spectroscopy; however, practical challenges mean in situ studies on nanoparticles have yet to provide the same level of detail as those on model surfaces. Here we use a new approach to in situ IR spectroscopy to study the mechanism of CO adlayer oxidation on a commercial carbon-supported Pt catalyst. We observe bipolar IR absorption bands but develop a simple model to enable fitting. Quantitative analysis of band behavior during the oxidation prepeak using the model agrees well with previous analysis based on conventional absorption bands. A second linear CO band is observed during the main oxidation region and is assigned to the distinct contribution of CO on step as opposed to terrace sites. Analysis of the step and terrace CO bands during oxidation shows that oxidation begins on the terraces of the nanoparticles before CO on steps is removed. Further correlation of this behavior with the current shows that step CO is only lost in the first of the two main oxidation peaks.
The oxidation of adsorbed CO is a key reaction in electrocatalysis. It has been studied extensively on both extended model surfaces and on nanoparticles; however, correlation between the two is far from simple. Molecular insight into the reaction is often provided using in situ IR spectroscopy; however, practical challenges mean in situ studies on nanoparticles have yet to provide the same level of detail as those on model surfaces. Here we use a new approach to in situ IR spectroscopy to study the mechanism of CO adlayer oxidation on a commercial carbon-supported Ptcatalyst. We observe bipolar IR absorption bands but develop a simple model to enable fitting. Quantitative analysis of band behavior during the oxidation prepeak using the model agrees well with previous analysis based on conventional absorption bands. A second linear CO band is observed during the main oxidation region and is assigned to the distinct contribution of CO on step as opposed to terrace sites. Analysis of the step and terrace CO bands during oxidation shows that oxidation begins on the terraces of the nanoparticles before CO on steps is removed. Further correlation of this behavior with the current shows that step CO is only lost in the first of the two main oxidation peaks.
Understanding the reactivity
of CO at metal surfaces is of prime
importance in fuel cell electrocatalysis. As a common contaminant
in H2 feedstocks and an intermediate in the oxidation of
many other candidate fuels (e.g., formic acid and methanol),[1,2] CO poisons catalysts by strongly adsorbing on the surface, blocking
active sites. To maintain their activity, catalysts must therefore
be capable of oxidizing CO alongside the fuel. An understanding of
how and where CO oxidation takes place on the highly inhomogeneous
surface of a typical nanoparticle (NP) catalyst is necessary for rational
design of new CO-tolerant catalysts;[3] however,
such mechanistic details remain the subject of much debate.[4−10]On Pt, the most common fuel cell catalyst, the reaction is
thought
to occur via a Langmuir–Hinshelwood (LH) mechanism, as in the
gas-phase reaction.[11] In this scheme, adsorbed
CO interacts with an adjacent adsorbed oxygen-containing species to
produce CO2.[1,11] The oxygen species is most likely
to be OH, generated through partial oxidation of water, although other
species have been suggested.[12] Two principle
mechanisms have been proposed to generate the adjacent CO and OH species
necessary for reaction via a LH mechanism: the mean field (MF) model,
in which diffusion of adsorbed CO is fast compared to the reaction
rate, ensuring rapid mixing of the two species;[4,13,14] and the nucleation and growth (NG) model,
in which the species are immobile, form separate islands of CO and
OH on the surface, and only react where their boundaries meet.[15−18] In many cases, the MF model provides satisfactory fits to current
transients measured during CO oxidation.[13,19] In contrast, in situ IR spectroscopy shows evidence for dipole–dipolecoupling between adsorbed CO molecules which is independent of global
coverage, indicative of island formation.[16,20] The NG model is also supported by recent work, which suggests that
surface diffusion of CO is not as fast as previously thought.[18,21,22]The situation is complicated
further when considering that the
MF and NG models represent two limiting cases. On real NP catalysts,
relatively well-defined facets are connected via atoms with lower
coordination numbers at edges and corners.[23] These sites are generally more reactive toward adsorption (an effect
rationalized by the upshift in the d-band center[24]) leading to mechanisms in which edges act as
nucleation sites for OH formation.[4,10,25] In addition, unlike semi-infinite macroscopic electrodes,
NP catalysts have an intrinsicsize distribution such that a range
of size-dependent behavior can be exhibited by one catalyst sample.[6,26,27] Furthermore, the NPs are commonly
prepared on a conducting support, introducing NP loading as an additional
parameter. For these reasons the mechanistic understanding of CO oxidation
on NPs is far from complete.Experimentally, CO oxidation on
NPs is most commonly investigated
using stripping voltammetry, in which a layer of CO is predosed onto
the NP and then oxidized during a potential sweep in CO-free electrolyte.[1,25,26] The position of the current peak(s)
reveal the ease with which the catalyst can oxidize CO while the total
charge passed enables estimation of the electrochemically active surface
area. In most reports multiple peaks are observed, regardless of the
electrode morphology (single-,[28,29] poly-[17,30] or nanocrystalline[4,5,9]).
A small, broad peak is often seen at relatively low potentials (0.5
V) while one or two sharper peaks are seen at higher potentials. No
consensus exists for the origin of these peaks, with assignments being
made to oxidation on: particles of different sizes,[4,6,26] terrace and step sites,[5,9] different
crystal planes,[7,31,5] and
domains of different CO/H2Ocomposition.[32] Furthermore, there are several aspects of CO oxidation
on NPs which cannot easily be modeled on an extended surface. For
example, the sharper CO stripping peaks shift to more positive potentials
as the particle size decreases, despite the ratio of edge sites to
terrace sites increasing.[26,33] It has been suggested
that this particle size effect may come from changes to the mobility
of adsorbed CO, which decreases with decreasing particle size.[8,34] Other effects such as the particle loading on the support have also
been found to have a dramatic effect on the shape of the voltammetry.[26] It is clear that further molecular-level information
about CO stripping on NPs is required to resolve these contrasting
theories.In situ IR spectroscopy has provided a significant
amount of information
about CO adsorbed on extended surfaces,[16,35−37] especially when well-defined single crystals have been studied in
combination with scanning tunneling microscopy and surface X-ray scattering.[28,38] Extension of IR techniques to NPs has been relatively successful;
however, in general, the discussion and analysis of such data are
still significantly less developed than that seen for the extended
surfaces.[39−48] In part, this is due to the various complications that arise when
collecting IR spectra of species adsorbed on NPs. Aside from the inherent
limitations of electrochemical IR reflection–absorption spectroscopy
(resistance, bubbles, baseline changes due to changes in the electrolyte),
the high refractive index of Ptcoupled with the lower refractive
index of an inert carbon supporting electrode can compromise the signal/noise
(S/N) ratio and lead to deviations from conventional absorption band
shapes.[48−51] To minimize these problems the nanoparticle film is often made as
thin as possible, and more reflective, less inert, gold supporting
electrodes are used.[40,43−45,47,52,53] While these approaches are generally successful, the conditions
still represent a compromise. In particular, thicker catalyst films
will much better represent the state of the catalyst in membrane electrode
assemblies.[54]We therefore set out
to investigate the mechanism of CO stripping
on thick films of commercial Ptcatalyst. We use an approach to in
situ IR spectroelectrochemistry of supported catalysts which we reported
recently.[55] To fully interpret the data,
which exhibit anomalous absorption behavior, we develop a model for
the observed spectra. This enables us to fit and resolve overlapping
bands and extract information on the CO adlayer as a function of potential
and coverage. These data are then discussed in relation to the mechanism
of CO oxidation on supported Pt nanoparticles.
Experimental
Methods
Reagents
Carbon-supported Pt (Pt/C,
60 wt % Pt, HiSPEC 9000) was obtained from Alfa Aesar. Sulfuric acid
(Analytical reagent grade) was obtained from Fisher Scientific. Carbon
monoxide gas (CP grade) was obtained from BOC. All solutions were
prepared using ultrapure water (18.2 MΩ cm, Milli-Q, Millipore).
Reagents were used as received.
Microscopy
Particle morphology was
characterized using high angle annular dark field scanning transmission
electron microscopy (HAADF-STEM) on a JEOL JEM-3000F FEGTEM microscope
operating at 300 kV accelerating voltage. Samples were prepared by
drop-casting a nanoparticle suspension (ultrasonically dispersed in
analytic purity ethanol) onto a holey-carbon film Cu TEM grid.
Spectroelectrochemistry
All IR and
electrochemical measurements were made in an in situ attenuated total
reflectance IR (ATR-IR) spectroelectrochemical flow cell we reported
recently for studying supported metal nanoparticles during electrocatalysis.[55] In this approach, the catalyst is applied directly
onto the surface of a Si internal reflection element (IRE) with the
electrical connection being made from the top using porous carbon
paper. This avoids introducing additional metalcontacts which could
interact with CO while maintaining the sensitivity and mass transport
advantages of ATR sampling. With this approach, we are able to collect
spectra with a very high S/N ratio which allows fine potential resolution
without resorting to very slow sweep rates. To prepare the catalyst
layer, Pt/C was added to ethanol (to 10 mg mL–1)
and sonicated to form an evenly dispersed ink. Then 10 μL of
the ink was drop cast onto a Si IRE (sampling area ca. 5 × 8
mm2) and allowed to dry in air. Catalyst films prepared
in this way were found to be around 1 μm thick.[55] The IRE was sealed into a baseplate designed to fit a commercial
ATR accessory (GladiATR, Pike Technologies) modified to provide five
reflections at the catalyst layer/IRE interface. A homemade flow cell
comprising a carbon flow field was used to press a sheet of carbon
paper (Toray GDL) onto the film, and this allowed the potential of
the catalyst layer to be controlled and solution to be flowed over
the film. The cell contained a Ag/AgCl reference electrode (BAS, Inc.)
connected to the catalyst layer via a Luggin capillary and a Pt gauze
counter electrode. Potentials are reported relative to the standard
hydrogen electrode (SHE) using the conversion ESHE = EAg/AgCl + 0.209 at 298 K.[56] The ATR accessory with flow cell was mounted
in an FTS7000 FTIR spectrometer (Bio-Rad) fitted with a liquid N2cooled HgCdTe detector. Electrochemistry was carried out
in a three-electrode configuration using a potentiostat (μAutolab
II, Metrohm) which was fitted with an integrator. The integrated current
determined by the potentiostat was used to ensure no oxidation current
was lost in sampling the digital staircase potential sweep. A trigger
signal from the spectrometer was used to start the electrochemical
program enabling the two measurements to be synchronized. Further
output signals to a dual peristaltic pump (Williams Manufacturing
Co.) enabled the flow of solution to be controlled from within the
electrochemical software (Nova 1.8, Metrohm). Spectra were recorded
with a spectral resolution of 4 cm–1 and an initial
time resolution of 0.202 s. Spectra were subsequently coadded to reach
the desired potential resolution and labeled corresponding to the
mean potential. Spectra are reported in units of absorbance, calculated
from the background spectrum without CO present (obtained either before
CO adsorption or after CO oxidation, as specified) denoted R0, and the sample spectrum with CO, R, using eq . For fitting the y offset was adjusted to ensure
each spectrum was centered around y = 0. Band fitting
was carried out in Matlab (R2014a).
CO Stripping
Prior to CO stripping
measurements the catalyst layer was cleaned by cycling between 0.0
and 1.2 V vs SHE 10 times.[10,27,57] CO adsorption was carried out by flowing CO-saturated electrolyte
(H2SO4, 0.5 M) over the catalyst layer for 600
s at 4 mL min–1 while it was held at 0.05 V vs SHE.
Residual CO was then removed by flushing the cell (volume ∼40
μL) with N2-purged CO-free electrolyte at the same
flow rate for a further 100 s. The flow was then stopped, and CO oxidation
was examined by stepping the potential to 0.0 V for 5 s and then cycling
twice between 0.0 and 1.2 V at a rate of 10 mV s–1.
Results and Discussion
HAADF
STEM Characterization
Characterization
of the Pt particle size was carried out using HAADF-STEM, in which
the image intensity is strongly dependent on the atomic number (Z) and sample thickness. This means that the technique is
highly suitable for studying catalyst nanoparticles supported on a
low Z support like carbon (Z-contrast).[23,58]Figure A shows an
image of the carbon support coated in Pt particles. It can be seen
that the metalcomponent is composed of two main fractions: small,
isolated spherical particles around 1 nm in diameter and agglomerates
of larger particles with overall dimensions of 5–10 nm. The Z-contrast nature of the image allows rapid estimation of
the particle size distribution by automation. Automated sizing analysis
was performed using an in-house Matlab script, based on 50 images
with independent regions of interest and field of view (details can
be found in Figure S1). A histogram of
the individual (nonagglomerated) nanoparticles is shown in Figure B. A mean particle
size of 1.81 nm is seen. Higher magnification images (Figure S1) reveal a high degree of crystallinity
within the agglomerates, with the lattice fringes of adjoining particles
appearing to be in register. Thus, while the constituent particles
of the agglomerates are likely to present individual facets of around
only 5 nm diameter, a continuous, ordered crystalline surface may
extend over a much greater area.
Figure 1
HAADF-STEM characterization of the Pt
catalyst. (A) Overview image
of catalyst showing both individual and agglomerated catalyst. Magnification
800 000 ×. (B) Histogram from automated particle size analysis
of 875 individual catalyst particles obtained from 50 images. Mean
particle size 1.81 nm.
HAADF-STEM characterization of the Ptcatalyst. (A) Overview image
of catalyst showing both individual and agglomerated catalyst. Magnification
800 000 ×. (B) Histogram from automated particle size analysis
of 875 individual catalyst particles obtained from 50 images. Mean
particle size 1.81 nm.
CO Stripping Voltammetry
CO oxidation
was examined using cyclic voltammetry (CV) following saturation of
the catalyst surface with adsorbed CO. The potential was cycled twice
between 0.0 and 1.2 V at a rate of 10 mV s–1 (Figure A). The first scan,
shown in black, reveals the complete absence of current in the H desorption
region (0.0–0.2 V), confirming saturation of the surface with
adsorbed CO. A broad current peak from 0.2 to 0.48 V, labeled i, is
observed before a couple of overlapping peaks at 0.64 and 0.76 V,
respectively (ii, iii). The second scan (red) reveals a pair of positive
current peaks corresponding to H desorption,[59,60] with relatively little current in the rest of the scan, except for
a small peak at the same position as iii, showing that almost all
CO was oxidatively removed in scan 1. The shape of the CV is very
similar to that reported previously on a similar catalyst,[9] while a similar number of peaks have been reported
on polycrystalline model electrodes.[5,61]
Figure 2
Spectroelectrochemical
data obtained during CO monolayer oxidation
at Pt/C. (A) Cyclic voltammograms in 0.5 M H2SO4 after CO adsorption at 0.05 V vs SHE. Scans 1 (black line) and 2
(red line) shown. Current peaks are seen at (i) 0.2–0.48, (ii)
0.64 V, (iii) 0.76 V. Scan rate 10 mV s–1. (B) IR
spectra of the Pt/C at 0.05 V after CO adsorption (blue line) and
after oxidation at 1.2 V (red line). Background: 0.05 V before introduction
of CO. The difference spectrum (0.05 minus 1.2 V, black line) is also
shown with a linear fit to the high wavenumber region (dashed gray
line).
Spectroelectrochemical
data obtained during CO monolayer oxidation
at Pt/C. (A) Cyclic voltammograms in 0.5 M H2SO4 after CO adsorption at 0.05 V vs SHE. Scans 1 (black line) and 2
(red line) shown. Current peaks are seen at (i) 0.2–0.48, (ii)
0.64 V, (iii) 0.76 V. Scan rate 10 mV s–1. (B) IR
spectra of the Pt/C at 0.05 V after CO adsorption (blue line) and
after oxidation at 1.2 V (red line). Background: 0.05 V before introduction
of CO. The difference spectrum (0.05 minus 1.2 V, black line) is also
shown with a linear fit to the high wavenumber region (dashed gray
line).
In Situ
IR Spectroscopy
Spectra obtained
at 0.05 and 1.2 V before and after oxidation of the CO, respectively,
are shown in Figure B. One dominant derivative-shaped band can be seen in the spectrum
recorded at 0.05 V, centered around 2050 cm–1. There
is also a second much broader, less intense band centered around 1850
cm–1 (enlarged in Figure S2). IR bands in these two regions are generally thought to arise from
CO adsorbed atop a single Ptsite, known as linear CO, and from CO
adsorbed between two sites, known as bridging CO, respectively.[36] Note that with a couple of exceptions,[44,45,62] only a single linear CO band
is observed on NP catalysts at high coverage, despite the presence
of multiple adsorption sites.[10,27,47] This is attributed to the strong dipolecoupling between adsorbed
CO molecules giving a single observed normal mode. Without additional
information, such as splitting of the band, more specific assignment
of the band is not possible.The defining characteristic of
the linear CO band is its striking bipolar shape, with both positive
and negative components. This shape causes problems when it comes
to quantitative analysis; simple numerical integration of the area
enclosed by the lobes may seem straightforward; however, closer inspection
reveals that there is an apparent step change in baseline that occurs
throughout the region; compare the baseline in the 0.05 minus 1.2
V difference spectrum on the high wavenumber side, extrapolated as
the dashed gray line, with the baseline on the low wavenumber side.
This effect makes choice of suitable limits for integration highly
subjective. Furthermore, numerical integration cannot provide the
individual integrated intensities of overlapping bands, nor does it
provide obvious values for the band center or width. To extract this
information the bands must therefore be fitted to a suitable model.
Band-Shape Model
The IR spectra of
CO adsorbed on Pt nanoparticles has been simulated in a number of
different ways for both reflection and transmission geometries.[50,51,63−66] The approaches, which range in
level of detail and complexity, all predict appropriate band shapes
under certain conditions but to date do not appear to have been used
to fit experimental data. We base our model on the simplified geometry
shown in Figure ,
in which a single reflection is modeled for a catalyst layer which
is thicker than the penetration depth, such that only 2 layers, the
IRE and the catalyst layer, need to be considered. To generate a dielectric
function to describe the complex, multiphase catalyst layer we adopt
the approach of Su et al., who use the Bruggeman effective medium
theory to combine the contributions of Pt nanoparticles (with volume
fraction f) immersed in a so-called “mixed
phase” consisting of water and CO.[66]
Figure 3
Geometry
used to simulate absorption spectra. Pt nanoparticles
(volume fraction f) immersed in a mixture of CO +
H2O represent the catalyst layer, dielectric constant εCL, which is deposited directly onto a Si IRE, dielectric constant
εSi. A reflectance R is calculated
from angle of incidence θ.
Geometry
used to simulate absorption spectra. Pt nanoparticles
(volume fraction f) immersed in a mixture of CO +H2O represent the catalyst layer, dielectricconstant εCL, which is deposited directly onto a Si IRE, dielectricconstant
εSi. A reflectance R is calculated
from angle of incidence θ.The metallicPt is modeled with experimental values of the
wavenumber-dependent
dielectricconstant εPt.[67] The dielectricconstant of the “mixed phase”, εaq, is composed of real and imaginary parts, εi and εr (eq ). A Lorentzian function is used to model the contribution
of CO to εi (eq ). The real part, εr, is made up of a wavenumber-independent
contribution from water, nH2O = 1.316,[66] and the Kramers–Kronig transform of εi, calculated using the double fast Fourier transform method.[68,69] The dielectric functions εPt and εaq were then combined into an effective dielectricconstant for the
catalyst layer, εCL, using the Bruggeman effective
medium theory (eq )
with dimension D = 3 and volume fraction, f, allowed to vary between 0 and 1.[66] The refractive indices of the catalyst layer and Si IRE, can be
calculated using eq , which then enables the Fresnel reflection coefficient, r (eq ), and
thus reflectance, R (eq ), to be found (angle of incidence θ = 39°,
εSi from ref (70)). Unpolarized light was used in the experiments and so R is taken as the sum of s and p components. To generate the background R0 required for calculation of absorbance (eq ), a background catalyst layer consisting
solely of nH2O was used.Figure A shows
the real and imaginary parts of the CO dielectric function plotted
using some typical values used in this work (nH2O = 1.316, ν̃0 = 2070 cm–1, B = 3000 and γ = 15 cm–1). The effect of increasing the amount of Pt in the catalyst layer
is shown in Figure B, where it is seen that with no Pt present (f =
0) the band has a regular, unipolar shape. However, as the volume
fraction increases to around f = 0.25 the band becomes
bipolar; the band shape continues to change at higher fractions. This
behavior is very similar to that simulated by others.[50,51,66] At volume fractions around 0.25
the band shape closely resembles that seen in the experimental data
(Figure B).
Figure 4
Simulated plots
of εr, εi, and
absorbance calculated using the Lorentzian model described in the
text. (A) εr(ν̃) and εi(ν̃) plotted using the parameters shown. (B) Absorbance
calculated using the same parameters except with values of f ranging from 0 to 0.5. Spectrum at f =
0.5 is scaled 100×.
Simulated plots
of εr, εi, and
absorbance calculated using the Lorentzian model described in the
text. (A) εr(ν̃) and εi(ν̃) plotted using the parameters shown. (B) Absorbance
calculated using the same parameters except with values of f ranging from 0 to 0.5. Spectrum at f =
0.5 is scaled 100×.
Band Fitting
To test the ability
of this model to fit experimental data, least-squares fitting was
carried out in the region of the linear CO peak in Figure B. The parameters B, ν̃0, f, and γ were
allowed to vary within constraints (see Supporting Information, Table S1) until the fit converged. The fit generated
from the procedure is shown in Figure , along with the residual difference between the fit
and the data.
Figure 5
IR spectrum of CO on Pt/C at 0.05 V between 1950 and 2150
cm–1 from Figure (circles) fitted to the Lorentzian model described
in the
text (solid line). Background: spectrum at 1.2 V after oxidation.
Fitted parameters: f = 0.25, B =
521, ν̃0 = 2070 cm–1, and
γ = 13 cm–1.
IR spectrum of CO on Pt/C at 0.05 V between 1950 and 2150
cm–1 from Figure (circles) fitted to the Lorentzian model described
in the
text (solid line). Background: spectrum at 1.2 V after oxidation.
Fitted parameters: f = 0.25, B =
521, ν̃0 = 2070 cm–1, and
γ = 13 cm–1.The fit appears
to capture the shape of the peak extremely well,
as demonstrated by the featureless residual. The repeatability of
the fitting procedure was tested by fitting 3 similarly prepared CO
saturated catalyst layers (see the Supporting Information, Figure S3).In these cases, as well as fitting
the intense band assigned to
linear CO, attempts were also made to incorporate the less intense
bridging CO band. The mean and standard deviation calculated from
the fits are shown in Table . The band center and width of the linear CO band are found
to be very reproducible between identical catalyst layers; however,
the band intensity, B, varies dramatically between
the different layers and thus cannot be compared directly between
experiments. Instead, the relative intensity, B/B0, can be defined by normalizing B to the maximum value at saturation coverage. When values of B/B0 are compared across experiments,
a standard deviation of ±0.03 is found (see details in the Supporting Information S2). The quality of the
fitting for the bridging CO band is markedly worse and is reflected
in the deviation of the fitted band center and width. As a result,
the remaining discussion focuses on the linear CO band. Note that
when fitting series of spectra it is convenient to use the fitted
parameters from the previous spectrum as the initial parameters for
the subsequent spectrum to decrease the time taken for convergence.
This approach was used here; however, frequent checks were made to
ensure the initial value did not affect the result of the fit.
Table 1
Fitted Peak Parameters for a Saturated
CO Adlayer at 0.05 V vs SHE According to the Fits Shown in Figure S3 for Three Similarly Prepared Films
parameter
linear CO
bridging
CO
f
0.25
ν̃0/cm–1
2069 ± 1
1825 ± 28
B
280 ± 230
75 ± 76
γ/cm–1
12 ± 1
99 ± 55
The fitted band parameters for the saturated CO adlayer measured
here can be compared to values measured for adsorbed CO on other electrode
surfaces at similar potentials (Table S2).[10,17,29,30,35,38,40,43,44,61,62,71] The center of the dominant
band, observed here at 2069 ± 1 cm–1, agrees
well with the values generally reported for polycrystalline Pt (2070–2077
cm–1)[17,30,61,71] but is slightly higher than the
values for linear CO adsorbed on a 60% Pt/Ccatalyst (2063 cm–1)[71] and for linear CO observed
on Pt(111) single crystals.[35,38,72] It is much higher than the values reported for 50% Pt/C in which
peak fitting was used to separate out contributions from different
surface sites.[62,44] Significantly, the bandwidth
(full width at half-maximum) is close to that measured on Pt(111),
as opposed to the 20–40 cm–1 often reported
for nanoparticle catalysts.[27,35,40,62] The broad width is usually taken
to indicate a broad distribution of adsorption sites and so the narrow
width here could suggest that the catalyst surface is relatively uniform
compared to other catalysts. Another trend apparent from the data
in Table S2 is the tendency for higher
wavenumbers for both large particles and higher metal loading, which
may explain the relatively high wavenumber observed here.
Peak (i): Prepeak
The cyclic voltammogram
in Figure A shows
three definite current peaks in the first oxidative sweep. The first
peak, i, occurs at potentials much more negative than the main peaks
and is therefore often known as the prepeak.[28−30,72] The origin of the prepeak has been of great interest
to those studying electrochemical CO oxidation since it represents
the removal of adsorbed CO at an unusually low potential. Integration
of the current reveals the charge passed in the region corresponds
to oxidation of around 15% of the CO adlayer. Comparison of the first
and last spectra obtained during the prepeak region further suggests
that both linear (Figure A) and bridging (Figure S2) CO
band intensities have decreased. The linear CO band around 2070 cm–1 is fitted well using the model described above as
shown in Figure A.
A more quantitative picture is revealed by comparing the current, Figure B, to the fitted
parameters which are plotted as a function of potential in Figure C–F. In general,
the changes in parameters are much smaller than their absolute value,
and so the difference Δ, or in the case of B or f the percentage difference, from the initial
value at 0.0 V is discussed. The linear CO band shows a subtle change
in band center, Δν̃0, with potential, Figure C. The center initially
increases with potential, reaching a maximum of 2076 cm–1 at around 0.28 V. The increase is highly linear (R2 = 0.999) with a slope ∂Δν̃0/∂E = 26 cm–1 V–1. Deviation from this linear trend is observed at
the onset of prepeak current, and the sign of the slope is completely
reversed by 0.3 V ∂Δν̃0/∂E = −15 cm–1 V–1, R2 = 0.998). Finally, by 0.47 V the
center stabilizes and remains constant until the end of the prepeak.
Figure 6
Fitted
spectra and resulting parameters obtained during the CO
oxidation peak (i) (prepeak). (A) Spectra averaged over 30 mV windows
(circles) and fits to the spectra (lines) offset for clarity. Background
1.2 V after oxidation. (B) Current recorded during collection of spectra.
Vertical lines indicate start and end of prepeak. (C) Change in ν̃0 as a function of potential. Linear fits to regions of the
data are shown and their gradients indicated on the figure. (D) Percentage
change in relative intensity B/B0 as a function of potential. (E) Change in bandwidth
γ as a function of potential. (F) Percentage change in f as a function of potential.
Fitted
spectra and resulting parameters obtained during the CO
oxidation peak (i) (prepeak). (A) Spectra averaged over 30 mV windows
(circles) and fits to the spectra (lines) offset for clarity. Background
1.2 V after oxidation. (B) Current recorded during collection of spectra.
Vertical lines indicate start and end of prepeak. (C) Change in ν̃0 as a function of potential. Linear fits to regions of the
data are shown and their gradients indicated on the figure. (D) Percentage
change in relative intensity B/B0 as a function of potential. (E) Change in bandwidth
γ as a function of potential. (F) Percentage change in f as a function of potential.The initial positive ∂Δν̃0/∂E slope is similar to the slopes reported previously for
different sized Pt/Ccatalysts, 22–27 cm–1 V–1,[10,53] and is consistent with
the electrochemical Stark effect.[46,73] The subsequent
negative slope is also consistent with results from 30 nm PtNPs,
which showed a prepeak at 0.3 V that correlated with a reversal in
the sign of ∂Δν̃0/∂E.[10] The negative slope region
has been attributed to a decrease in the strength of dipolecoupling
as the COcoverage decreases.[20,37,53] The negative slope has further been interpreted as evidence for
high mobility of CO on the surface on the basis that diffusion would
be necessary to enable the whole adlayer to equilibrate with the lower
coverage and show an overall redshift.[37]Beyond band center, the fitting procedure also provides values
for the band intensity and width. Between 0.0 and 0.2 V there is a
slight decrease in band intensity, B (Figure D); however, at potentials
more positive than 0.2 V there is a small but concerted increase.
The value of this intensity increase is small, close to the observed
standard deviation of ±3% in measurements, yet interestingly,
it correlates well with the prepeak current. A similar small increase
is observed on polycrystalline Pt.[37] Over
the same potential window, a small but steady increase in bandwidth
is also observed (Figure E). Again, changes to linear CO bandwidth have been observed
before in this potential window on polycrystalline Pt, with a small
shoulder on the low wavenumber side of CO appearing to increase with
potential.[29] The shoulder was taken as
evidence of a transition between different adlayer structures, supposed
to result from the relaxation of a highly compressed, saturated CO
adlayer to a more stable, lower coverage.[28,29,74] The increase in bandwidth observed here
may similarly correspond to the growth of a small shoulder band, too
small to be captured by the model as a distinct band itself (vide
infra). This would then suggest that loss of CO during the prepeak
on Pt/C is also accompanied by a change in adlayer structure. It has
previously been suggested that this structural change is prompted
by the desorption of CO from bridge sites, providing sites for OH
adsorption which subsequently permit oxidation of linear CO.[37] Due to the low intensity of the bridging CO
in our case we are not able to confirm this on Pt/C. Finally, it is
worth noting that the volume fraction, f, which was
not fixed during the fitting, barely changes throughout the region
(Figure F). The data
were also fitted with f fixed, and no significant
difference was observed at these or higher potentials.Overall,
the correlation of our results with those obtained from
ultrathin layers of catalyst particles on gold electrodes[10] provides strong support for the fitting methodology
described here, and shows that working with thick catalyst layers
need not be a barrier to extracting detailed information on the catalyst
surface chemistry from IR spectra.
Peaks
ii and iii: Main Oxidation
Following peak i in the cyclic
voltammogram there are a further two
much larger current peaks (ii and iii in Figure A), which are accompanied by further changes
to the linear CO band (Figure A). As the potential becomes more positive, the band intensity
decreases; however, detailed inspection reveals the appearance and
subsequent disappearance of a shoulder on the low wavenumber side
of the band. To confirm that this feature is not related to the low
wavenumber tailing sometimes seen in nanoparticle spectra, the spectra
at 0.05 and 0.65 V were both processed using the Kramers–Kronig
transform. Following this treatment, the shoulder is still clearly
visible in the 0.65 V spectrum (Figure S4), demonstrating that it arises from a distinct vibrational mode. Figure B reproduces the
spectrum obtained at 0.65 V together with a fit to the spectrum according
to the single band model described above (black line). It can be seen
that the fit fails to capture the shape of the band in both the positive
and negative lobes. To account for the shoulder a second Lorentzian
oscillator was added into the fitting model with modified upper and
lower bounds (Table S3). With the two-oscillator
model (red line), the improvement in the fit can be seen immediately
from the smaller values of the residuals (dashed lines).
Figure 7
Analysis of CO adlayer oxidation between 0.53
and 0.89 V on Pt/C.
(A) Spectra (circles) averaged over 30 mV along with fits (lines)
using the two oscillator model described in the text. Background:
subsequent spectrum at 1.2 V. (B) Comparison of fits to the IR spectrum
of CO on Pt/C at 0.65 V. Original one-oscillator model (black line)
is compared to a two-oscillator model (red line). Data shown as circles.
Residuals shown as red and black dashed lines, respectively. Background:
subsequent spectrum at 1.2 V. (C) Fitted intensities of the two linear
CO species, assigned to terrace and step sites, observed during current
peaks ii and iii along with the current itself (black line). (D) Negative
time derivative of – d(Bterr/B0)/dt as a function of potential
(squares), along with the current (solid line). Note dotted lines
connecting points in panels C and D are for illustration only.
Analysis of CO adlayer oxidation between 0.53
and 0.89 V on Pt/C.
(A) Spectra (circles) averaged over 30 mV along with fits (lines)
using the two oscillator model described in the text. Background:
subsequent spectrum at 1.2 V. (B) Comparison of fits to the IR spectrum
of CO on Pt/C at 0.65 V. Original one-oscillator model (black line)
is compared to a two-oscillator model (red line). Data shown as circles.
Residuals shown as red and black dashed lines, respectively. Background:
subsequent spectrum at 1.2 V. (C) Fitted intensities of the two linear
CO species, assigned to terrace and step sites, observed during current
peaks ii and iii along with the current itself (black line). (D) Negative
time derivative of – d(Bterr/B0)/dt as a function of potential
(squares), along with the current (solid line). Note dotted lines
connecting points in panels C and D are for illustration only.The
wavenumber of the shoulder band is still relatively high (2058 cm–1), suggesting it also arises from linear CO. Such
a situation is possible on a nanoparticle surface since it contains
many different Ptsites and thus possibilities for linear CO. To understand
the sudden emergence of the shoulder band, reference can be made to
stepped single-crystal model surfaces. For example, the Pt(332) surface
comprises (111) terraces separated by (110)-type steps, making available
two linear sites: terrace sites and step sites (Figure A). The stronger Pt–CO interaction
of CO adsorbed on step sites compared to terraces (due to the higher
energy of the local d-band)[24] leads to
a decreased ν̃0 compared to that of CO on terrace
sites.[75] The Pt(332) surface has been investigated
experimentally using CO stripping, and two linear CO stretches were
detected, at 2054 and 2030 cm–1, and were assigned
to terrace and step CO, respectively.[25] Similar splitting of CO bands in electrochemical conditions has
been observed on a wide range of surfaces, including other single
crystals,[18,76,77] polycrystalline
Pt,[37,61] and also NPs.[27,45] The two bands
observed here are therefore also tentatively assigned as terrace (2074
cm–1) and step (2058 cm–1) CO.
An alternative assignment, to CO adsorbed on different facets, is
ruled out based on the much larger redshift observed in the shoulder
band (18 cm–1) as compared to that reported between
(111) and (100) facets on PtNPs (4 cm–1).[47]
Figure 8
(A) Terrace and step CO on a model surface.
(B) Oxidation of terrace
CO at steps. (C) Oxidation of step CO. Adapted from Samjeské
et al.[37]
(A) Terrace and step CO on a model surface.
(B) Oxidation of terrace
CO at steps. (C) Oxidation of step CO. Adapted from Samjeské
et al.[37]Fitting was carried out on all of the
spectra obtained during the
main peak region using the improved, two-oscillator model (Figure A). The fitted relative
intensities of the higher and lower wavenumber linear CO bands, assigned
as terrace and step CO respectively, Bterr and Bstep, are shown in Figure C, plotted as a function of
potential along with the observed (baseline corrected) current. Note
that the red and blue lines are meant only as a guide, and the value
of Bstep has been multiplied by 13 for
ease of comparison.At first, Bterr and Bstep share an inverse relationship:
the decrease in Bterr is mirrored by an
increase in Bstep (Figure C). By the current maximum of peak ii, this
relationship changes
and both Bterr and Bstep now decrease, the value of Bstep reaching zero around peak iii while some Bterr remains. The change in Bterr with potential is readily understood, particularly in terms of the
current; oxidation of terrace CO leads to a decrease in coverage of
terrace CO and a concomitant decrease in its intensity. The relationship
between Bstep and potential is less intuitive,
however, although the same anomalous increase in Bstep with potential has been observed (but not quantified)
before for CO adsorbed on stepped single crystals[25] and polycrystalline Pt.[61] On
the basis of the close proximity and wavenumber of the step and terrace
CO vibrations, the anomalous behavior was rationalized using dipolecoupling: when the normal modes of coupled adlayer vibrations are
compared to the vibrations expected for isolated molecules, significant
intensity transfer is seen to occur.[25,37] Intensity
transfer is always from the lower to the higher frequency vibration,[78] which in this case would lead to the transfer
of intensity from the step CO to the terrace CO. In cases of moderate
coverages of the higher wavenumber species (∼10%), this transfer
can leave the lower wavenumber vibration almost invisible.[78] In light of this, and previous analyses,[25,37] the present observations are therefore attributed to intensity transfer.
The terrace CO vibration acquires the majority of the band intensity,
leaving the step CO invisible. As the coverage of terrace CO, and Bterr, decreases, the extent of dipole–dipolecoupling decreases and intensity is returned to the step CO vibration,
resulting in its appearance in the spectrum. The subsequent decrease
in Bstep is then simply the result of
a decrease in step COcoverage as it is oxidized from these sites.
This interpretation, in which CO on terraces is oxidized in preference
to CO on steps (Figure B), contrasts with an alternative proposal based on similar qualitative
data from Pt/C.[61] There, dipolecoupling
was not considered, and the step CO intensity was taken to be proportional
to step population. On this basis, a mechanism was proposed in which
terrace COconverted to step CO which was then oxidized (Figure C). However, the
prevalence of reports of coupling in these systems[18,37,76,77] and the counterintuitive
proposal that oxidation proceeds preferentially through CO adsorbed
on step sites which have been demonstrated to require higher oxidation
potentials on single crystal electrodes[18] tend to support the former mechanism.The relationship between
terrace CO and the current can be understood
by considering the current to be proportional to the negative time
derivative of the coverage of the species being oxidized (eq ).[79] It is assumed in the first instance that the change in coverage
of COcan be approximated by the change in intensity (eq ) as observed previously,[20] since a calibration plot of B/B0 and θCO obtained
through controlled dosing of CO (Figure S5) is approximately linear over small changes in coverage (Figure S6). The values of – d(Bterr/B0)/dt are plotted with the current in Figure D. It can be seen that the derivative has
the same shape as the current. Such a correlation provides evidence
for the current observed in peaks ii and iii being dominated by oxidation
of the terrace CO.Peak ii has been investigated previously in an electrochemical
study on shape-controlled nanoparticles, where the asymmetric shape
of the current peak was deconvoluted into contributions from (111)
terraces at low potential and “low-coordination sites”
at higher potential.[5] The potential range
of the two contributions reported corresponds well with the initial
decrease in terrace CO followed by a subsequent decrease in step CO
suggested by analysis of the spectra in Figure . This suggests that on Pt/C, step CO is
less easily oxidized than CO on terraces, as on Pt model electrodes.[18] In spite of the higher onset potential for removal
of step CO, its intensity reaches zero before that of terrace CO.
This has been observed on both model electrodes[25,37,80] and on shape-controlled nanoparticles.[45] In the former case, it was suggested that step
CO must migrate onto terrace sites before being oxidized,[25] and this would explain the observation of step
CO loss preceding terrace CO loss here. Remarkably, very similar results
were also used to argue the converse: the simultaneous loss of step
and terrace CO on shape-controlled NPs, where step CO removal was
complete before that of terrace CO, was attributed to the more facile
oxidation of step CO and the migration of terrace CO onto step sites.[45]Alternatively, recent reports have shown
limited diffusion of CO
on stepped Pt and PtNP surfaces during oxidation,[18,21,22] and thus, migration to particular sites
might not occur and the faster removal of step CO may simply be a
kinetic effect resulting from the smaller number of step as compared
to terrace sites. Note that this low mobility regime remains compatible
with previous reports of preferential adsorption at low coverage,
often taken to indicate high mobility, as adsorption preference and
hence mobility is seen to decrease rapidly at the moderate COcoverages
encountered during CO stripping.[48]Regardless of the interpretation followed here, the prior assignment
of current peak ii to terrace CO oxidation and peak iii to step CO
oxidation,[9] based on the apparent inverse
relationship between the magnitude of peak ii and the ratio of step
to terrace sites on a series of commercial Pt/Ccatalysts, is inconsistent
with our deconvoluted data. Instead, more recent work has consistently
found a relationship between the amount of (100) surface exposed on
NP catalysts and the height of the higher potential oxidation peak
iii.[5,30,31,47,81] The increased potential
for oxidation on (100) may be due to a difference in CO mobility on
the two orientations, as CO was found to be more mobile on (111) oriented
NPs than those of (100) orientation.[82] Unfortunately,
while there is a large redshift in linear CO wavenumber which enables
CO on terraces and under-coordinated step sites to be distinguished;
the same is not true among terraces of different orientation, especially
on NPs (only a 4 cm–1 redshift was observed between
CO on preferentially oriented (111) nanooctahedrons and (100) nanocubes[83]), and thus, there is no simple way to deconvolute
the CO into further contributions from (111) and (100) terraces. Future
experiments using, for example, the facet-dependent adsorption of
Bi and Ge on Pt to block specificsites,[84] may help to resolve this.An alternative explanation for the
appearance and differing behavior
of two linear CO bands during CO oxidation assigns the bands to CO
adsorbed on two different size distributions of particle within the
same catalyst layer.[27] However, in these
cases, not only was the particle area distribution bimodal, but the
potential dependence of the bands was different from the present case
in that both bands were initially present at low potential and were
then lost at different rates at higher potential.
High Potential CO
In the potential
region more positive than peak iii there remains a small but definite
band in the linear CO region (Figure ). This band disappears very slowly and is still just
visible in the final spectrum at the end of the second potential cycle.
The shape of the band is different to that observed initially, with
the negative lobe much less prominent. As a result of this different
shape, the high potential data were not fitted with the model presented;
however, inspection reveals the band center to be around 2071 cm–1, showing negligible shift with potential (dashed
line, Figure ) and
little change in width. Small particles have been shown to be much
less active for CO oxidation,[10,26,40] with CO stripping peaks appearing up to 1.2 V vs SHE.[40] In light of the band’s persistence to
relatively high potential, it is assigned to CO adsorbed on the small,
isolated particles observed in the STEM (Figure A). This assignment also explains the absence
of dipole–dipolecoupling behavior seen in the other CO bands,
the terraces on 1 nm particles not supporting extensive adlayer formation
being only four to five atoms across.[85]
Figure 9
IR
spectra of CO on Pt/C recorded in the high potential region.
Spectra are shown for 30 mV intervals between 0.91 and 1.18 V. The
spectrum labeled 0.0 V was collected at the end of the second scan.
Background: 0.05 V before introduction of CO.
IR
spectra of CO on Pt/C recorded in the high potential region.
Spectra are shown for 30 mV intervals between 0.91 and 1.18 V. The
spectrum labeled 0.0 V was collected at the end of the second scan.
Background: 0.05 V before introduction of CO.
Conclusion
We have shown that a simple
model can be used effectively to fit
bipolar IR band shapes which are seen during in situ experiments on
Pt/C. This model then allows detailed interpretation of the behavior
of adsorbates on the Pt surface and should enable further studies
on more realisticcatalyst layers which tend to give rise to such
effects. Step and terrace linear CO species are observed in our spectra
and are assigned to sites on the larger agglomerated catalyst particles
observed by STEM. CO stripping experiments show that CO on terraces
starts to be oxidized before that on steps, consistent with previous
studies on model electrodes. Furthermore, the loss of step CO is complete
before the final current peak, ruling out assignment of this peak
to oxidation from steps as suggested previously. A small contribution
to the spectra from CO adsorbed on the smaller, isolated particles
in the sample is also observed, and its very gradual loss at high
potentials is consistent with sluggish oxidation kinetics previously
observed for small Pt particles.
Authors: Maria J T C van der Niet; Angela den Dunnen; Ludo B F Juurlink; Marc T M Koper Journal: Angew Chem Int Ed Engl Date: 2010-09-03 Impact factor: 15.336
Authors: Matthias Arenz; Karl J J Mayrhofer; Vojislav Stamenkovic; Berislav B Blizanac; Tada Tomoyuki; Phil N Ross; Nenad M Markovic Journal: J Am Chem Soc Date: 2005-05-11 Impact factor: 15.419
Authors: Samuel Guerin; Brian E Hayden; Christopher E Lee; Claire Mormiche; John R Owen; Andrea E Russell; Brian Theobald; David Thompsett Journal: J Comb Chem Date: 2004 Jan-Feb