Norli
Abdullah
abc,
Hasliza
Bahruji
*ad,
Scott M.
Rogers
ab,
Peter P.
Wells
ef,
C. Richard A.
Catlow
abg and
Michael
Bowker
ag
aThe UK Catalysis Hub, Research Complex at Harwell, Harwell, Oxon, OX11 0FA, UK
bDepartment of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
cDepartment of Chemistry, Centre for Foundation Defence Studies, National Defence University of Malaysia, 57000, Malaysia
dCentre of Advance Material and Energy Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, BE 1410, Brunei. E-mail: hasliza.bahruji@ubd.edu.bn
eUniversity of Southampton, University Road, Southampton SO17 1BJ, UK
fDiamond Light Source Ltd Harwell Science and Innovation Campus, Chilton, Didcot OX11 0DE, UK
gCardiff Catalysis Institute, School of Chemistry, Cardiff University, Main Building, Park Place, Cardiff, CF10 AT, UK
First published on 25th June 2019
The interaction between Pd and TiO2 for promoting photocatalytic activity was investigated by tailoring the size of Pd nanoparticles and monitoring the photocatalytic activity of methanol photo-reforming reaction for hydrogen gas production. We show that at 0.6 wt% Pd loading, the catalyst with highly dispersed nanoparticles obtained at 1 °C temperature exhibits superior photocatalytic activity for hydrogen gas production. At different weights of Pd loading, tailoring two sets of catalysts with different structural properties provides correlation between the changes in the Pd local structures and the rate of hydrogen production. The impact of controlling the structural properties of metal nanoparticles on influencing H2 production outweighs the effect of metal loading variation. The differences of Pd/TiO2 activity at the different metal loadings were correlated with the changes in the Pd local structure consequently affecting the electronic transfer and photocatalytic efficiency.
Pd is a precious noble metal with a large work function to trap electrons for efficient electron hole separation. We have previously investigated the activity of Pd/TiO2 for photocatalytic reforming of alcohols with the mechanism of hydrogen production involving dehydrogenation of alcohol on the Pd surface and water reduction occurring at the Pd–TiO2 interface.20–23 The efficiency of Pd to promote electron transfer from the conduction band of the semiconductor is not limited to TiO2, and studies on visible light driven photocatalysts such as BiFeO4 and GaN–ZnO showed enhancement in the photocatalytic performance for hydrogen production.24–26 Alteration of the Pd morphology to nanocubes improved the hydrogen production from Pd/2D-C3N4 composites due to the efficient separation of photogenerated energy carriers.27 Understanding the role of the metal nanoparticles in promoting the catalytic activity of TiO2 is often hampered by morphology alterations, particularly at high metal loading.15 The aims of the work are to improve the Pd/TiO2 photocatalytic activity and to gain fundamental understanding of structural changes of Pd upon variation of metal loading. In these studies, tailored Pd metal nanoparticles were prepared using the controlled kinetic growth of Pd colloids via synthesis temperature variations to obtain Pd nanoparticles of different but controlled nanoparticle sizes. Systematic Pd/TiO2 catalyst design managed to differentiate the promotional effect caused by the size of Pd nanoparticles and the amount of metal loading, allowing us to gain an understanding of the effect of the Pd–TiO2 interaction on promoting hydrogen production from photo-reforming of methanol:
CH3OH + H2O + hν → 3H2 + CO2 |
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Fig. 1 k 3 weighted Fourier transform (magnitude) EXAFS data for the 0.6 wt% Pd/TiO2 catalysts prepared at 1 °C, 25 °C, 50 °C and 75 °C. |
Catalysts | Pd size/nm | Abs. Sc. | N | R/Å | 2/A | E f/eV | R factor | Reference standards (%) | |||
---|---|---|---|---|---|---|---|---|---|---|---|
Pd2+ | Pd0 | R factor | Pd2/Pd0 | ||||||||
0.6% Pd/TiO2 | 2.3 ± 0.6 | Pd–Pd | 2.8(3) | 2.78(1) | 0.008 | 4(1) | 0.02 | 69 | 31 | 0.063 | 2.22 |
1 °C | Pd–O | 2.8(2) | 2.00(1) | 0.003 | |||||||
0.6% Pd/TiO2 | 3.0 ± 0.4 | Pd–Pd | 5.4(3) | 2.738(7) | 0.008 | 7(1) | 0.02 | 46 | 54 | 0.025 | 0.85 |
25 °C | Pd–O | 1.8(2) | 1.99(1) | 0.003 | |||||||
0.6% Pd/TiO2 | 3.8 ± 0.3 | Pd–Pd | 7.2(2) | 2.743(3) | 0.008 | 8(0) | 0.003 | 30 | 70 | 0.038 | 0.43 |
50 °C | Pd–O | 1.1(1) | 1.98(1) | 0.003 | |||||||
0.6% Pd/TiO2 | 5.2 ± 0.8 | Pd–Pd | 8.4(2) | 2.750(3) | 0.008 | 8(0) | 0.003 | 22 | 78 | 0.026 | 0.28 |
75 °C | Pd–O | 0.7(1) | 1.98(1) | 0.003 | |||||||
1% Pd/TiO2 | 2.6 ± 0.4 | Pd–Pd | 4.2(4) | 2.75(1) | 0.008 | 5(1) | 0.019 | 57 | 43 | 0.099 | 1.32 |
1 °C | Pd–O | 1.7(4) | 2.00(0) | 0.006 | |||||||
1% Pd/TiO2 | 3.3 ± 0.7 | Pd–Pd | 7.7(3) | 2.744(4) | 0.008 | 5(1) | 0.007 | 33 | 67 | 0.048 | 0.49 |
50 °C | Pd–O | 1.1(2) | 1.99(1) | 0.006 | |||||||
2% Pd/TiO2 | 3.5 ± 0.8 | Pd–Pd | 6.6(3) | 2.739(5) | 0.008 | 5(1) | 0.009 | 35 | 65 | 0.198 | 0.53 |
1 °C | Pd–O | 1.7(2) | 2.00(1) | 0.006 | |||||||
4% Pd/TiO2 | 3.8 ± 0.8 | Pd–Pd | 8.3(4) | 2.735(5) | 0.008 | 6(1) | 0.013 | 33 | 67 | 0.494 | 0.49 |
1 °C | Pd–O | 0.5(3) | 1.97(5) | 0.006 |
XANES linear combination analysis (LCA) of the 1st derivative, using PdO and Pd foil as the reference standard, was performed to calculate the ratio between Pd2+ and Pd0, as summarised in Table 1. Small Pd nanoparticles form an oxidic surface layer at room temperature. Since smaller particles have a higher surface contribution to XAFS compared with larger particles, the relative size of the Pd nanoparticles can be inferred from the ratio of Pd2+/Pd0. Analysis data given in Table 1 showed that the influence of the synthesis temperature on the Pd2+/Pd0 ratio is shown by a higher percentage of Pd2+ for the catalyst prepared at 1 °C (69% Pd2+), in comparison to that prepared at 75 °C (22% Pd2+). The ratio of Pd2+/Pd0 for the catalyst synthesised at 1 °C is 2.2, significantly higher than the rest of the catalysts. The calculated Pd2+/Pd0 ratio for 0.6% Pd/TiO2 decreases with increasing synthesis temperatures.
The variation of the Pd nanoparticle size distribution from the 0.6 wt% Pd/TiO2 catalyst was further confirmed by TEM analysis, as shown in Fig. 2. The Pd size was measured based on the average diameter of 100 Pd particles observed from TEM images. Controlling the temperature at 1 °C produced Pd nanoparticles with an average particle size of 2.3 nm. Increasing the synthesis temperature to 25 °C shows relatively larger particles with an average diameter of 3.0 nm. The Pd nanoparticle size continues to grow with an average diameter of 3.8 nm for 50 °C synthesis, and 5.2 nm for 75 °C. In general, upon increasing the synthesis temperature for the 0.6% Pd/TiO2 catalyst, the Pd–O (at 2.00 Å) coordination increases, meanwhile the Pd–Pd (∼2.78 Å) coordination decreases, with decreasing average Pd particle size.
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Fig. 2 TEM images and Pd size distribution histograms of 0.6 wt% Pd TiO2 synthesised at (a) 1 °C, (b) 25 °C, (c) 50 °C and (d) 75 °C. |
The resulting 0.6% Pd/TiO2 catalysts were subsequently used in photocatalytic hydrogen generation by photoreforming of methanol. Fig. 3 shows the plot of hydrogen gas production analysed for every 30 minutes during 3 h reaction. The 0.6% Pd/TiO2 catalyst obtained from the colloidal sol that was prepared at 1 °C, produced ∼676 μmol of H2 in 3 h of reaction. The value is significantly higher than that of the rest of the catalysts at a similar weight loading.
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Fig. 3 Photocatalytic hydrogen production from methanol on 0.6 wt% Pd/TiO2 prepared at different synthesis temperatures. |
As the temperature of the colloidal sol increases, the results of the 0.6% Pd/TiO2 catalysts showed that the hydrogen generation is significantly affected with the total hydrogen volume reduced to ∼434 μmol for the catalyst produced at 25 °C, 230 μmol for 50 °C and only 186 μmol when the synthesis temperature was raised to 75 °C. The increased activity of 0.6% Pd/TiO2 catalysts produced at 1 °C was compared with our previous finding in which the rate of hydrogen production showed a twofold enhancement in comparison with Pd/TiO2 produced via an impregnation method.10,20
As the impact of controlling the size of metal nanoparticles on increasing H2 productivity is dramatic, we therefore increased the Pd metal loading to study its effect on photocatalytic performance. The Pd loadings were varied at 0.6 wt%, 1 wt%, 2 wt% and 4 wt%. Two sets of catalysts were prepared at different weight loadings, with the first set of catalysts produced at 1 °C to ensure that a narrow Pd nanoparticle distribution was achieved. The second set of catalysts was prepared by varying the synthesis temperature in order to obtain Pd nanoparticles with similar particle sizes. TEM analysis data in Table 1 showed that the particle size of Pd on TiO2 in the first set of catalysts increased with the amount of metal loading, despite the undertaking of the synthesis at 1 °C. Fig. 4 shows the TEM images of 1%, 2% and 4% Pd/TiO2, and the particle size distribution histogram obtained from the sol immobilisation method carried out at 1 °C. Pd at 1% loading shows a Pd diameter of 2.6 nm meanwhile at 2% loading, the average diameter was measured to be 3.5 nm. As the Pd loading increases, the size increases to 3.8 nm at 4% loading.
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Fig. 4 TEM images and Pd size distribution histograms of (a) 1% Pd/TiO2 synthesised at 1 °C, (b) 1% Pd/TiO2 synthesised at 50 °C, (c) 2% Pd/TiO2 prepared at 1 °C and (d) 4% Pd/TiO2 prepared at 1 °C. |
Table 1 also shows the XAFS analysis data of the Pd/TiO2 catalysts at different weight loadings. The value of Pd–Pd coordination number increased with the amount of Pd loading, implying that larger Pd particles were produced at higher Pd loadings. Similar occurrences for the Pd2+/Pd0 ratios derived from the XANES analysis revealed that the ratio decreases with the amount of Pd loading, from 1.32 at 1% Pd, to 0.53 at 2% Pd and 0.49 at 4% Pd loading. In general, for the first set of catalysts obtained at 1 °C, the amount of Pd loading was varied in the range of 0.6–4 wt%, producing catalysts with an average Pd nanoparticle size of 2–4 nm, with the Pd2+/Pd0 ratios in the range of 2.2–0.49. The catalysts were subsequently used for photocatalytic hydrogen production by photoreforming of methanol. The plot of hydrogen production against reaction time when using the first set of catalysts is shown in Fig. 5a. The catalysts produced a high volume of hydrogen within 3 h of reaction at low Pd loading, with ∼636 μmol of hydrogen for 0.6% Pd loading. The volume was significantly reduced to 512 μmol for 1% Pd/TiO2. As the Pd loading was increased, the photocatalytic activity of the catalysts was significantly reduced with only ∼181 μmol of hydrogen produced at 4% Pd loading.
The decrease of TiO2 activity at high metal loading is often related to the shadowing effect of the metal that reduces the TiO2 photosensitivity.17 To gain further understanding of the factors influencing the catalytic activity at high metal loading, the second set of catalysts was used for the evaluation of photocatalytic performance. The catalysts were obtained by varying the synthesis temperature for 0.6 wt%. 1 wt%, 2 wt% and 4 wt% of Pd in order to produce catalysts with approximately similar Pd nanoparticle intrinsic structural properties. For 0.6% Pd/TiO2 and 1% Pd/TiO2 catalysts, the synthesis temperature was set at 50 °C, meanwhile for 2% and 4% Pd/TiO2 catalysts, the temperature was set at 1 °C to give a Pd diameter of 3.5 nm. The list of particle sizes of Pd nanoparticles analysed using TEM and the local structure of Pd from XAFS analysis are summarised in Table 1. Apart from similar Pd diameters within 3.3–3.8 nm, the catalysts also consisted of palladium nanoparticles with approximately similar Pd2+/Pd0 ratios ∼0.43–0.53 (Table 1). The photocatalytic performance of the catalysts for hydrogen gas production is shown in Fig. 5b. The catalysts produced similar rates of hydrogen production with the volume of hydrogen production ∼180 to 230 μmol in 3 h of reaction. In comparison to the first set of catalysts that were produced at 1 °C, controlling the size of Pd nanoparticles around 3.5 nm appears to reduce the differences in the catalytic performance of Pd/TiO2 catalysts despite the different weights of metal loading deposited on TiO2.
Understanding the fundamental aspect of the effect of particle size and metal weight loading is a challenging task due to the agglomeration of nanoparticles at high metal loading. Controlling the particle size of Pd while increasing the weight of the metal deposited on TiO2 allows an understanding of the geometric influence of Pd nanoparticles on photocatalytic performance. Fig. 7a shows the hydrogen production rate dependence on Pd loading and the normalised H2 rate over Pd loading for the first set of catalysts with an average Pd size of 2–4 nm. The rate of hydrogen evolution is significantly reduced as the Pd loading increased to 4%. When the activity is normalised to the amount of Pd loading, the differences in the catalytic activity are even more significant. Varying the amount of metal loading is often associated with the agglomeration of nanoparticles particularly at high metal loading, thus altering the local structure of the metal. This proved that the reduction of Pd/TiO2 activity at high metal loading is due to the differences in the Pd local structure that affected the efficiency of electronic transfer at Pd–TiO2 interfaces.
On the other hand, the second set of Pd/TiO2 catalysts prepared by varying the synthesis temperature showed a near invariant rate of hydrogen evolution of ∼80 μl h−1 regardless of the amount of Pd loading. When the rate of hydrogen production is normalised to the amount of Pd content, there is only a slight decrease in the hydrogen production rate at higher Pd loading (Fig. 7b). A linear relationship was observed between the rate of hydrogen and the amount of Pd loading implying a similar Pd local structure of the catalysts. We can deduce that the catalytic activity is affected by Pd structural properties, and varies little with the loading amount. The results showed that the impact of controlling the amount of surface palladium interacting with TiO2 in increasing H2 productivity outweighs the effect of metal weight loading.
To provide detailed morphological and compositional information about the studied samples at micro and nano-scale, transmission electron microscope (TEM) system JEOL 2100 (LaB6) is employed. For the analysis, the material was ground and mixed with water and 2 mL of materials in water suspension was placed on the TEM grid and dried. The instrument is equipped with a high-resolution Gatan digital camera (2k × 2k) providing maximum resolution of 0.2 Å which makes possible detailed observation of the crystal lattice, obtaining diffraction patterns and accurate measurement of the lattice d spacing with the help of Digital Micrograph software. In scanning transmission electron microscopy (STEM) mode, dark field (HAADF/Z-contrast) detector was used to provide excellent compositional contrast. An energy dispersive X-ray spectrometer (EDS) system (Oxford Instruments) was equipped with a large-area 80 mm2 SDD (Silicon Drift Detector). X-MaxN 80 T was employed for the elemental analysis in line scans, and elemental mapping modes. To analyse the EDS data, the latest version of AZtecTEM software was utilized. The particle diameter of Pd was obtained based on 100 Pd particles observed in TEM images using ImageJ software.
X-ray photoelectron spectra (XPS) were recorded on a Kratos Axis Ultra-DLD XPS spectrometer with a monochromatic Al kα source (75–150 W) and analyser pass energies of 160 eV (for survey scans) or 40 eV (for detailed scans). Samples were mounted using a double-sided adhesive tape and binding energies referenced to the C (1s) binding energy of adventitious carbon contamination which was taken to be 284.7 eV. Data were analyzed using Casa XPS software.
Pd K edge X-ray absorption spectra (XAS) were obtained on the B18 beamline at Diamond Light Source, Didcot, UK. Measurements were performed using a QEXAFS set-up with a fast-scanning Si (311) double crystal monochromator. The time resolution of the spectra reported herein was 1 min per spectrum (kmax = 16, step size 0.5 eV), on average six scans were acquired to improve the signal to noise level of the data for transmission measurements. All samples were diluted with cellulose and pressed into pellets to optimize the effective edge-step of the X-ray absorption fine structure (XAFS) data and measured in transmission mode using ion chamber detectors. Detailed experimental procedures and characterisation data are available in the ESI.†
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c9cp00826h |
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