Research Article | Open Access
Vineetha Mukundan, Shiyao Shan, Chuan-Jian Zhong, Oana Malis, "Effect of Chemical Composition on the Nanoscale Ordering Transformations of Physical Mixtures of Pd and Cu Nanoparticles", Journal of Nanomaterials, vol. 2018, Article ID 9087320, 10 pages, 2018. https://doi.org/10.1155/2018/9087320
Effect of Chemical Composition on the Nanoscale Ordering Transformations of Physical Mixtures of Pd and Cu Nanoparticles
The nanoscale composition and structure of alloy catalysts affect their performance in heterogeneous catalysis. In particular, previous reports indicated that PdCu nanoparticles are more efficient as catalysts in fuel cell reactions than monometallic Pd catalysts. To understand the structural transformations of PdCu nanoalloys, real-time in situ synchrotron X-ray diffraction was used to examine the temperature-induced evolution of physical mixtures of Pd and Cu nanoparticles. Ex situ transmission electron microscopy measurements provide additional information about the size, phase, composition, and ordering of the nanoparticle mixtures. The results for PdCu mixtures of composition 1 : 1 and 3 : 1 supported on SiO2 are presented in detail here. The annealing procedure involved two stages: (a) isothermal annealing at 450°C and (b) ramped annealing from 450°C to 750°C, both in forming gas atmospheres. We found the ordered B2 phase to be formed at 450°C in all compositions studied. Ramped annealing of PdCu 1 : 1 mixtures from 450°C to 750°C leads to the transformation of the B2 phase into two different alloys, one rich in Cu and the other rich in Pd. This structural evolution bears the signature of spinodal decomposition and is different from that of PdCu bulk alloys. In PdCu 3 : 1 mixtures, the B2 phase dominates after isothermal annealing at 450°C, but a significant disordered alloy fcc phase is also formed. During annealing at 750°C, the disordered fcc phase grows at the expense of the B2 phase. These findings are important for the understanding of thermal activation of PdCu nanocatalysts for fuel cells.
Nanostructured materials are ubiquitous and have many practical applications. Among them, noble metal nanoparticles are important as functional catalysts in fuel cells. In recent years, the strong growing interest in the development of fuel cells has triggered research on bimetallic nanoparticles as multifunctional catalysts. Nanocatalysts have the advantage that their properties can be engineered by tuning size and composition, alloying, and using phase transformations such as mixing, segregation, and ordering for surface structure. Many nanoalloy catalysts were found to be more efficient at catalyzing fuel cell reactions than the traditional bulk noble metals Pt and Au. However, commercialization of fuel cells is extremely sensitive to the high costs of the catalysts using Pt, Au, or their multimetallic combinations. For this reason, Pd nanoparticles have generated a lot of interest recently [1–5].
Pd has the potential to enable lower-cost catalysts for direct ethanol fuel cells (DEFCs) , carbon monoxide oxidation , oxidation reduction reaction , and catalytic denitrification reaction . Shan et al. have found that PdCu nanoalloy catalysts are more stable in CO oxidation than Pt and Pt-based nanoalloys . Pt and Pt-based nanoalloys are poisoned during these reactions and cannot be reused. PdCu was found to have higher mass activity than Pd for ethanol oxidation reaction in alkaline electrolyte . DEFCs are more convenient than direct methanol fuel cells because ethanol is less toxic and can be obtained from biomass conversion of common agricultural products such as sugar cane and corn. The major challenge of DEFC is finding an efficient catalyst. Thermal annealing and postsynthesis treatment are required for the activation and stability of these catalysts. PdCu bimetallic nanoparticles not only are used as catalysts in fuel cells but also have important applications in the coal gasification process, selective hydrogenation of dienes, and hydrogen storage reactions.
Chemical composition drastically influences electrochemical activity because it determines the availability of active sites for heterogeneous catalysis. Changing the volume composition of an alloy affects the chemical distribution of surface sites such as edges and vertices. Since catalysis is governed by surface sites, the activity will consequently change with the concentration of metals in these active sites . Shan et al. have shown that Pd50Cu50 nanoparticles have maximum activity of all compositions when thermochemically treated in the range of 200°C to 600°C in hydrogen and oxygen atmospheres . Wang et al.  measured the electrocatalytic activity for different compositions of PdCu prepared by coimpregnation followed by reduction in hydrogen at 300°C, 600°C, and 800°C. Both composition ratios 1 : 1 and 3 : 1 were found to have 4–5 times higher activity than monometallic Pd. The highest activity was found for PdCu 1 : 1 at 600°C and 800°C, and lower activity for PdCu 3 : 1. However, they reported the formation of a homogeneous PdCu alloy phase for the composition ratio 1 : 1 when heated at 600°C. The degree of alloying and composition uniformity were also found to play a major role in the oxidation reduction reaction (ORR) [1–3].
Given these experimental electrochemical results, it becomes critical to understand the PdCu nanoparticle structural evolution during typical thermal and chemical processing conditions. Controlling the structure through phase transformations and chemical ordering is naturally the starting point for building specifically tailored functional nanomaterials. Numerous theoretical and experimental studies have been dedicated to understanding the correlation between structural changes and activity of Pt-based nanocatalysts , but not so much research has been done on Pd-based nanoalloys. This paper fills this knowledge gap by studying the phase transformations in Pd and Cu nanoparticle mixtures of different compositions. Unlike other reports in the literature that started with already alloyed nanoparticles [2–4], our path to multimetallic nanoparticles begins with pure Pd and Cu nanoparticles that are mixed in solution, dispersed on silica substrates, and then thermally treated at different temperatures in forming gas. In our previous work, we explored the behavior of PdCu 1 : 2 mixtures on different substrates in the temperature range from 25°C to 700°C . We identified phase transformations from B2 (CsCl-type structure) to disordered fcc structure in the samples on SiO2/Si and carbon substrates during annealing in helium and forming gas. We also reported the formation of disordered alloys without the formation of the B2 phase in the case of PdCu nanoparticle mixtures dispersed on alumina. To complete our understanding of the nanoscale transformations in PdCu nanoparticle mixtures, this paper focuses on PdCu 1 : 1 and 3 : 1 mixtures. Synchrotron-based X-ray diffraction (XRD) and transmission electron microscopy were used to study the structure, size, alloying state, and elemental distribution of these nanoparticles. We specifically monitor the effect of initial compositions on the final chemical ordering of alloyed nanoparticles by a combination of XRD and electron microscopy measurements.
2. Experimental Section
Pure Pd and Cu nanoparticles were synthesized using metal precursors, reducing agents and capping agents as discussed in detail in our previous work [1, 7] and other works [8, 9]. The separately synthesized Pd and Cu nanoparticles were added by volume to make up physical mixtures of different compositions. This work explores PdCu 1 : 1 and 3 : 1 mixtures. The nanoparticle mixtures were initially suspended in toluene. The mixtures were then dispersed on Si substrates covered with a 0.5 μm thick thermal SiO2 layer. After air drying in a high-efficiency particulate air (HEPA) hood, the samples were preannealed at 200°C in air on a hot plate for ten minutes. This was done to remove the capping agents by oxidation in air  to prevent them from forming different Pd and Cu compounds (e.g., Cu2S and PdO2) . After cooling the samples to room temperature in a HEPA hood, they were loaded into the XRD vacuum chamber. Using a combination of a rotary pump and a turbomolecular pump, the pressure in the chamber was brought down to 10−6 torr. Then, the chamber is purged with He gas. Under these conditions of pressure and preannealing, we expect the capping agents to be completely removed from the samples . Before the start of the experiments, the atmosphere in the chamber was changed to forming gas (nitrogen gas with 5.17% hydrogen).
2.2. Instrumentation and Measurements
Structural parameters such as size, composition, and chemical ordering were probed by in situ time-resolved synchrotron-based X-ray diffraction and by ex situ transmission electron microscopy (TEM).
2.2.1. In Situ Time-Resolved Synchrotron-Based X-Ray Diffraction
These experiments were performed using the beamline X20C at the National Synchrotron Light Source (NSLS), Brookhaven National Laboratory (BNL). The X-ray energy used here is 6.9 keV (1.79 Å wavelength). This beamline has a custom vacuum chamber, linear position-sensitive detector, and rapid thermal annealing stage with the capability of flowing different gases such as high-purity He and forming gas (5.17% H2 in N2). The XRD pattern in the angular range from 40 to 60° (corresponding to fcc (111) and (200) peaks) was recorded using a linear detector with two-second time resolution. The in situ experiments for this study were carried out in forming gas, and the annealing procedure consisted of two steps: (a) isothermal annealing at 450°C and (b) ramped annealing from 450°C to 750°C at a rate of 40°C/min. Each of these experiments lasted 630 seconds. The analysis of the XRD data involved fitting the diffraction peaks with a series of Lorentzians to extract lattice parameter, crystallite size, and phase volume.
2.2.2. Transmission Electron Microscopy
Low-magnification and high-resolution TEM was performed on an FEI Titan TEM at Purdue University with an acceleration voltage of 300 keV and with 0.24 nm point-to-point resolution. The nanoparticles annealed in the XRD studies were transferred from the Si wafer to thin carbon film-coated copper grids in hexane and plasma annealed to get rid of the hexane and carbonaceous materials in the sample. The image files were processed using the Digital Micrograph and ImageJ software for studying the lattice parameter and obtaining the size distribution of the particles. The fast Fourier transform images were obtained for the high-resolution images and were compared to patterns generated by SingleCrystal software to verify the lattice parameter and zone axis.
The sizes of the pure Cu nanoparticles and for the pure Pd nanoparticles are 3.5 ± 1 nm (Figure 1(a)) and 2 ± 1 nm, respectively (Figure 1(b)). After annealing the PdCu nanoparticle mixtures, they have different size distributions. At the end of all thermal treatments, the nanoparticles in the PdCu 1 : 1 mixture have the size of 22.9 ± 7.4 nm from counting 350 nanoparticles, while the nanoparticles from the PdCu 3 : 1 mixture have the size of 23.3 ± 13.8 nm from counting 550 nanoparticles.
We also investigated the composition of the PdCu nanoparticle mixtures using high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) and energy dispersive X-ray spectroscopy (EDX). STEM analysis is important to distinguish between the metallic nanoparticles and the organic capping agent, if present. EDX measurements are essential for elemental analysis. Energy dispersive X-ray analysis was performed with the EDX detector attached to the Titan TEM. The EDX detector used here was the X-Max Silicon Drift Detector manufactured by Oxford Instruments. The EDX spectral acquisition was done using the Aztec Energy software. For EDX experiments, the nanoparticle mixtures were dispersed on a thin C film on gold-coated grids. Since the specimens contain Cu nanoparticles, grids of a different metal are preferable to prevent the contribution of the grids to the X-ray signal while evaluating the atomic compositions of the specimen.
The bulk PdCu phase diagram shown in Figure 2 reveals that PdCu alloys can take several crystalline structures and undergo solid-phase structural transformations that depend on temperature and composition . The compositions examined in this paper are marked by red arrows and correspond to (a) 50 at. % Pd and (b) 75 at. % Pd. For 40–50% Pd, we notice that the room temperature stable phase is an ordered CsCl-type phase named B2. The B2 phase transforms into a disordered fcc structure at high temperatures. Above 50 at. % Pd composition, the two structures can also coexist. For 75 at. % Pd, the likelihood of formation of the B2 phase in bulk alloys is relatively small. We found that during thermal treatment, PdCu nanoparticle mixtures behave differently compared to what was expected from bulk alloys of similar composition.
3.1. PdCu 1 : 1 Nanoparticle Mixtures
These PdCu nanoparticle samples were prepared by mixing Pd nanoparticles and Cu nanoparticles in the ratio 1 : 1 by volume. We monitored the structural evolution of the PdCu nanoparticle mixture in two thermal treatments. Figure 3 shows the color map of the XRD intensity evolution in the two thermal treatments.
For the isothermal annealing at 450°C, the temperature is ramped from 25°C to 450°C at a rate of 1000°C/min and stabilizes at 450°C in less than 20 seconds. Figure 3(a) shows that during this annealing step, a peak grows at a angle of 50.71 ± 0.03° that corresponds to the (110) of the B2 phase. This indicates that the two metals intermix forming PdCu nanoparticles with a predominantly B2 structure, similar to observations for other compositions [2, 3, 7, 12]. From the analysis of the XRD data, we estimate the lattice parameter of the B2 structure to be 2.96 ± 0.001 Å and the grain size to be 13.24 ± 0.98 nm. This lattice parameter corresponds to the (110) plane of the PdCu B2 structure (Pm3-m space group) as confirmed by the work of Yamauchi and Tsukuda . Additional verification of this phase was obtained by HRTEM analysis as shown in our previous work . We also note the formation of a small volume of a Pd-rich phase with estimated composition of 71% Pd (similar to Alloy-2 discussed below).
The second step in the annealing protocol is increasing the temperature from 450°C to 750°C at a ramp rate of 30°C/min after 30 seconds at 450°C. Here, a complex change involving phase transformation and phase segregation is witnessed. The PdCu B2 structure transforms into two different fcc alloy structures. The B2 structure having a lattice parameter of 2.96 ± 0.01 Å transforms into (a) an fcc alloy structure with a lattice parameter of 3.67 ± 0.01 Å indicated by the peaks at angles 49.9 ± 0.2° and 58.3 ± 0.1° corresponding to the fcc (111) and fcc (200) planes (denoted as Alloy-1 here on) and (b) a secondary fcc alloy structure with a lattice parameter of 3.81 ± 0.01 Å characterized by peaks at angles 48.1 ± 0.1° and 56.2 ± 0.2° corresponding to the fcc (111) and fcc (200) planes (denoted as Alloy-2 here on). Using the Debye-Scherrer relation, the grain sizes corresponding to the fcc (111) direction for Alloy-1 and Alloy-2 were found to be 20.5 ± 6.9 nm and 13.6 ± 1.4 nm, respectively. We also observe the presence of the two different alloy phases in the -2 XRD scan taken after the samples annealed at 750°C were quenched to room temperature as shown in Figure 3(c). A closer look at Alloy-1 (111) peak indicates that the B2 (110) phase may have survived in a small fraction. This may be due to the fact that the phase transformation is not complete over the temperature and time ranges examined.
From XRD data, using Vegard’s law, we can calculate the lattice parameter to find the % content of each of the metals in the alloy nanoparticles. From the smaller lattice parameter of Alloy-1, we find the Cu content in the nanoparticles to be 78%, with a Pd composition of only 22%. For Alloy-2, we find the Cu content to be 29%, corresponding to a Pd content of 71%. Therefore, we report the formation of two alloys, one rich in Cu and another rich in Pd. This structural evolution is unique and has not been observed previously either in PdCu 1 : 2 composition  or in PdCu 3 : 1 composition as will be discussed in the next section.
The structure of the PdCu 1 : 1 nanoparticle mixture annealed at 750°C was also confirmed by high-resolution TEM images. After annealing in forming gas at 750°C, the analysis of the TEM images (shown in Figure 1(c)) estimated the average size to be 22.9 ± 7.4 nm from counting 350 nanoparticles. Figure 4(a) further corroborates the existence of two different alloy structures. The fast Fourier transform (FFT) of specific regions reveals the zone axis and lattice fringes along a particular plane. Figure 4(b) reveals the lattice fringe of 2.19 Å of the (111) plane. Figure 4(c) is the FFT of Figure 4(b) showing the  zone axis of Alloy-1 (Fm-3m space group) . Similarly, Figure 4(e) shows the lattice fringe of 1.93 Å of the (002) plane, while Figure 4(d) is the FFT of Figure 4(e) showing the  zone axis of Alloy-2 (Fm-3m space group) . These high-resolution images of the PdCu alloy nanoparticles confirm the crystalline nature of the two alloys. Conventional TEM images of different regions of the sample did not reveal any morphological differences corresponding to the two different alloys formed in these samples.
The composition and phase segregation observed in the XRD were further confirmed by the EDX and HAADF-STEM analyses on these samples. HAADF-STEM of such nanoparticles is shown in Figure 5(a), and it revealed a relatively uniform alloy distribution in each nanoparticle. Even though HAADF-STEM with atomic resolution should be sensitive enough to distinguish the two different alloy structures of the nanoparticles, the quality of our images did not allow us to do so. The bright regions in the HAADF-STEM images are attributed to more atomic columns in regions of nanoparticle overlap, not to different atomic compositions.
EDX maps of the nanoparticles also showed relatively uniform distribution of Pd and Cu in each alloy nanoparticle. However, EDX point scans revealed composition variation in different regions of the nanoparticle mixture probed. Figure 5(a) shows the HAADF-STEM image of an alloy nanoparticle aggregate formed from the annealing protocol followed in this study, and the corresponding table reveals the atomic percentages from the EDX spectra (Figures 5(b) and 5(c)) at different spots on Figure 5(a). This confirms the formation of two alloy structures in these PdCu nanoparticle mixtures with different atomic percentages of Pd and Cu as shown in the table in Figure 5. We speculate the formation of Pd-rich and Cu-rich phases by spinodal decomposition. Given that both phases were segregated from the same B2 structure, the two alloy phases may coexist in each nanoparticle or may have separated into isolated nanoparticles.
We note that the formation of the fcc phase with a lattice parameter of 3.8 Å, corresponding to diffraction peaks at 49.9 ± 0.2° and 58.3 ± 0.1° in Figure 3(c), was observed for PdCu 1 : 1 and 3 : 1 mixtures, but not for 1 : 2 composition . It may be attributed to a PdCu alloy of high Pd content or to PdCl2. The possibility of PdCl2 formation was ruled out because EDX scans did not measure any chlorine signal in the nanoparticles. Since PdCu nanoalloys at 50 : 50 composition were found to have maximum catalytic activity , it is possible that the improved catalytical activity is related to the phase segregation described above in PdCu mixtures with a composition of 1 : 1.
3.2. PdCu 3 : 1 Nanoparticle Mixtures
The Pd and Cu metallic nanoparticles in toluene synthesized separately were also mixed in the ratio 3 : 1 by volume. When annealed at 450°C isothermally, the PdCu 3 : 1 nanoparticle mixture showed the presence of two structures: a dominant B2 phase and an fcc alloy phase (Alloy-3) as shown in Figure 6(c). The B2 phase has a (110) peak at 50.7°, and the calculated lattice parameter is 2.96 ± 0.005 Å. There are additional peaks at 48.16 ± 0.05° and 56.62 ± 0.21° which correspond to the fcc structure (111) and (200) planes, respectively, as seen in Figures 6(a) and 6(c). The growth of the ordered phase (B2) and the Alloy-3 phase is not simultaneous. The corresponding lattice parameter of the dominant (111) fcc structure is 3.80 ± 0.004 Å, and the crystallite size is 20.9 ± 1.3 nm. During annealing from 450°C to 750°C, there were changes in structure as evidenced in Figure 6(b). Here, the B2 phase is observed to transform into the Alloy-3 phase. In Figure 6(c), this was confirmed by the -2 scans done on the sample after quenching to room temperature from 450°C and 750°C, respectively. The integrated intensity plot in Figure 6(d) reveals that the B2 phase decreases steadily above 550°C, whereas the fcc alloy grows with temperature. The average size of the B2 phase calculated from the -2 scans is 17.5 ± 2.2 nm after annealing at 450°C. At the end of the 750°C treatment, the average size of the dominant fcc (111) phase is 21.1 ± 1.8 nm. The transformation of the ordered B2 phase into the disordered fcc phase is incomplete, as evidenced by the survival of a B2 (110) peak at the end of the high-temperature treatment.
The TEM analysis of the nanoparticles annealed in forming gas at 750°C (Figure 1(d)) estimated the average size to be 23.25 ± 13.8 Å from counting 550 nanoparticles. The high-resolution TEM images (Figure 7(a)) of the PdCu 3 : 1 nanoparticle mixtures substantiate the formation of the Alloy-3 phase with Pd-rich content after annealing at 750°C. Figure 7(b) shows a blowup of the lattice fringes with a spacing of 2.16 Å corresponding to the (111) lattice plane of Alloy-3 (Fm-3m space group) . The FFT of the region corresponds to the  zone axis of Alloy-3 (Figure 7(c)).
Using Vegard’s law with the XRD data, the Cu content of the dominant fcc phase obtained after annealing at 750°C was estimated to be 29%. The Alloy-3 composition was further verified with EDX analysis shown in Figure 8. EDX found the Cu composition to be 24%, in agreement with the value calculated from XRD data.
The stability ranges of various structures in alloy systems are important for the understanding of their functional properties. They are affected by temperature, size, chemical environment, substrates, etc. Shan et al.  have examined the electrocatalytic activity of Pd50Cu50 nanoparticles and found a phase segregation into two different alloy phases when annealed in a combination of oxygen and hydrogen on carbon substrates up to 400°C . Using atomic pair-distribution function analysis of high-energy synchrotron X-ray diffraction, they identified the coexistence of the chemically ordered B2 alloy phase and disordered fcc alloy phase. At the lower or higher composition ratio of PdCu, a single fcc-type alloy phase was observed. Hydrogenation activity of PdCu nanoparticles, especially in the case of 1 : 1 composition, was explored on different substrates such as alumina, ceria, and titania . PdCu with 1 : 1 composition on alumina was found to have the highest activity . However, this electrochemical activity was found to degrade most rapidly for Pd50Cu50 nanoparticles during operation in a fuel cell . This degradation was attributed to leaching of Cu atoms and the formation of different alloy phases .
In our study of nanoparticle mixtures, we found that the structure of PdCu nanoparticle mixtures evolves in a different manner compared to what was expected from the bulk phase diagram (Figure 2). The bulk phase diagram indicates the formation of the B2 phase at low temperatures in a relatively narrow composition range (35–50% Pd) and the transformation to disordered fcc alloys at higher temperature. In contrast, for the nanoparticle mixtures used in this study, we see a dramatically different behavior. The B2 phase was formed during annealing at 450°C in all compositions examined (i.e., PdCu 1 : 1, 3 : 1, and 1 : 2 ). This indicates a much broader stability range of the B2 phase in nanostructured materials. Upon annealing at higher temperature, the B2-dominant particles evolved differently depending on the original PdCu ratio.
The predominantly B2 phase nanoparticles formed from PdCu 1 : 1 mixtures decompose into two alloys of different lattice parameters with different PdCu ratios when annealed at 750°C. We denoted these alloys as Cu-rich Alloy-1 (lattice parameter of 3.67 Å) and Pd-rich Alloy-2 (lattice parameter of 3.81 Å). This structural evolution cannot be explained by the bulk phase diagram (Figure 2) and has not been reported so far in other PdCu nanoparticle systems. It indicates the presence of a solubility gap in the nanoscale phase diagram around Pd50Cu50 above 450°C. In our case, the phase segregation into a Cu-rich and a Pd-rich phase may be facilitated by the presence of a minority 71% Pd phase formed at 450°C. We note that once the two phases are formed, they continue to grow and do not remix even at high temperature. This is likely due to the separation of the two phases into distinct nanoparticles as suggested in Figure 5.
The observed phase segregation shows the signature of spinodal decomposition. Spinodal decomposition is the process by which a solid solution separates into two different phases throughout the entire volume without nucleation. These two phases typically differ in composition and properties. Spinodal decomposition involves an interaction between composition fluctuations and atomic diffusion. Spinodal decomposition at the nanoscale has been observed in polymers, magnetic and thermoelectric materials, etc. Spinodal decomposition is affected by the finite size of the nanoparticles. Burch and Bazant  showed that in certain cases (i.e., intercalated LiFePO4 nanoparticles), the spinodal point and miscibility gap shrink with the decrease in particle size. On the other hand, Palomarez-Baez et al. found that in the case of AuCo, the miscibility gap is preserved even at the lowest sizes due to nanoscale effects of general character .
We did not observe any evidence of phase segregation for the PdCu composition ratio of 1 : 2  or 3 : 1 on SiO2 as discussed in the previous section. The small size of the alloy nanoparticles does, however, limit the growth of the most stable homogeneous phase (i.e., disordered fcc phase) at all compositions . For example, the transformation of the PdCu 3 : 1 nanoparticles from the ordered B2 to the Pd-rich disordered fcc phase was partially suppressed even at high temperature, as evidenced by the remaining B2 phase. Hoffman  proposed that phase changes and the stability of a phase are strongly dependent on the atomic misfit between the constituent elements forming the alloy. They found that phase stability is largest where the atomic misfit is large, and the phase transformation temperature shifts to lower temperature. Defects can also affect the route by which a phase develops in nanoalloys. It is possible that the transformation of the B2 phase into the disordered fcc phase is suppressed by defects that pin the grain boundaries. Moreover, Mottet et al.  examined the geometrical frustrations induced by chemical ordering in PdCu nanoparticles and found that they can enhance the stability of certain particles of size-dependent composition.
Phase transformations in nanoparticles are also dependent on the chemical composition of the nanoparticle-supporting substrates. Yang et al.  concluded that support nanoalloy interaction tunes the active sites on the nanoalloys for oxygen activation in PtNiCo nanoparticles. They observed phase segregation on silica-supported nanoparticles and random alloy formation for carbon- and titania-supported nanoparticles by oxidative-reduction treatment. Most notably, our preliminary results indicated that the phase segregation seen in the case of PdCu on SiO2/Si was not observed in PdCu on carbon black and alumina (data not shown here). Detailed studies of PdCu with a composition of 1 : 1 on different substrates such as silica, carbon, alumina, ceria, and titania need to be undertaken to provide clear insights into how the substrate affects the alloy formation and chemical ordering. A combinatorial approach of experiments like high-energy synchrotron-based X-ray diffraction along with atomic pair-distribution function would be beneficial in this case. In situ transmission electron microscopy of these nanoparticles on the same substrates subjected to the same thermochemical conditions as in catalysis can be instrumental in understanding alloy formation and phase transformations at the nanoscales.
The structural evolution during thermal annealing of PdCu nanoparticle mixtures with compositions of 1 : 1 and 3 : 1 was investigated using synchrotron-based X-ray diffraction and transmission electron microscopy. In both compositions, the ordered B2 phase is formed during annealing at 450°C. However, upon annealing at 750°C, the two types of mixtures behave dramatically different. In PdCu 1 : 1 mixtures, the B2 phase decomposes into two different alloys, one rich in Pd and the other poor in Pd. This phase segregation mechanism can be understood as spinodal decomposition involving diffusion. This behavior is attributed to the alloy composition and to finite size effects in nanoparticles. In 3 : 1 composition, the B2 phase decays incompletely into a disordered Pd-rich fcc alloy during annealing at 750°C. Our findings are important because the catalytic activity of PdCu nanoparticles was found by Shan et al.  to be related to the composition and degree of ordering in the nanoparticles. In order to create nanoparticles with tunable properties, further structural exploration with other techniques is needed to probe the atomic arrangement of the nanoparticles from the core to the shell with high chemical resolution imaging EDX-STEM. Also of practical interest are the structural evolution of PdCu nanoparticle mixtures of different sizes and the dependence of the phase diagram on particle size.
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
The synchrotron X-ray experiment was performed on beamline X20C at the NSLS, BNL. The use of the NSLS, BNL, was supported by the US Department of Energy Office of Science and Office of Basic Energy Sciences, under Contract no. DE-AC02-98CH10886. The authors are grateful to Jean Jordan-Sweet from IBM for the help with the X-ray experiment. The work is supported in part by NSF (CBET 0709113 and CMMI 1100736).
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