Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Unlocking synergy between multi-valence rhodium species for promoted methanol photoreforming

Mu Xiao a, Weizhen Meng b, Yalong Jiao b, Haijiao Lu a, Zhiliang Wang a, Guangyu Zhao c, Zitong Wang a, Yonggang Jin c and Lianzhou Wang *ad
aSchool of Chemical Engineering, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia. E-mail: l.wang@uq.edu.au
bCollege of Physics, Hebei Key Laboratory of Photophysics Research and Application, Hebei Normal University, Shijiazhuang, Hebei Province 050024, China
cCSIRO Mineral Resources, 1 Technology Court, Pullenvale, QLD 4069, Australia
dDept of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR

Received 6th May 2025 , Accepted 1st August 2025

First published on 11th August 2025


Abstract

Solar-powered photocatalytic methanol dehydrogenation to produce hydrogen (H2) and formaldehyde provides a promising approach for storable H2 fuel without carbon emissions. However, the different properties of C–H and O–H bonds in methanol molecules make it challenging to cleave both bonds effectively on a single catalytic active site during the methanol dehydrogenation process. This work proposes a strategy that constructs multi-valence metal species in the co-catalyst to address this challenge. In the case study of multi-valence rhodium species (Rh0 and Rh3+) on titanium dioxide (RhOx/TiO2) photocatalysts, an apparent turnover frequency (TOF, the H2 evolution rate as a function of the co-catalyst amount) of 1236 h−1 is achieved, outperforming that of most reported co-catalysts. Detailed investigations unveil that the synergy between Rh0 and Rh3+ not only facilitates the cleavage of both C–H and O–H bonds in methanol molecules but also facilitates the desorption of H2 molecules, leading to improved efficiency. This work showcases an effective strategy for engineering co-catalysts to promote photocatalytic methanol dehydrogenation and provides insights into the mechanism of this reaction catalyzed by heterogeneous photocatalysts.


Introduction

Methanol presents a promising liquid hydrogen carrier, due to its high hydrogen content (12.5%), facile production from renewable resources, and easy transportation and storage with well-established infrastructure.1 In industry, methanol is converted to hydrogen (H2) and carbon dioxide (CO2) via methanol steam reforming at relatively high temperatures (250–350 °C) and pressures (10–50 bar), leading to high capital cost and high carbon emissions. Photocatalytic methanol reforming to produce H2 and formaldehyde (CH2O) provides a promising approach by using solar energy, abating CO2 emissions, and operating under mild conditions.2 Furthermore, the by-product formaldehyde is the major industrial feedstock for manufacturing cosmetic products, glues, and resins, with a considerably large market.3 In addition, formaldehyde can generally dissolve in the reaction solutions, which simplifies the separation from H2 gas and thus reduces additional costs.4 Therefore, solar-driven photocatalytic dehydrogenation, as a bifunctional approach to producing storable H2 and valuable by-products, has attracted increasing attention.5–7

Co-catalysts play a crucial role in semiconductor-based photocatalytic reactions, as they control the activation of reactants, thereby boosting surface reaction rates and regulating product selectivity.8 As methanol has been commonly used as a sacrificial agent for photocatalytic water splitting to produce H2, H2 evolution co-catalysts (HEC) for this reaction, such as platinum (Pt), copper (Cu), nickel (Ni), and MoS2, have been intensively explored for H2 production from methanol.5,9–11 Despite promising results obtained, it remains challenging to achieve energy-efficient H2 production towards practical implementation. Unlike the two identical O–H bonds in water molecules, the different characteristics of the O–H bond and C–H bond in methanol molecules make it unfavorable to proceed with the cleavage of both bonds on a single catalytic site actively.12–14 For instance, the dissociative adsorption of methanol (CH3OH → CH3O* + H*) was shown to occur on the surface of NiO spontaneously, while the following activation of the C–H bond faced a high free energy barrier, retarding the catalytic activity.15 In another case, the scission of the C–H bond in the methanol molecule was thermodynamically more favorable than that of the O–H bond on the surface of MoS2.7 Hence, the design of high-performance co-catalysts for efficient methanol dehydrogenation remains an unsolved puzzle.

Herein, we report the design of co-catalysts that are composed of multi-valence metal species to selectively promote the activation of C–H and O–H bonds in methanol molecules. Rhodium (Rh) is selected as a model because Rh is a high-performance HEC in photocatalytic overall water-splitting systems, yet the potential for methanol dehydrogenation has rarely been explored.16–19 The RhOx with mixed valence states of Rh (Rh0, Rh3+) on the surface of titanium dioxide (TiO2, anatase, particle size < 25 nm) shows an H2 evolution rate of 902.25 μmol h−1 with an apparent turnover frequency (TOF) of 1236 h−1, superior to most reported co-catalysts. Characterizations reveal that the metallic Rh (Rh0) species facilitate the C–H bond cleavage, and the oxidative Rh (Rh3+) species favour the scission of the O–H bond in the methanol molecule. In addition, the synergy of Rh0 and Rh3+ species is shown to aid the desorption of H2 molecules. It is also probed that partially reduced palladium oxide (mixed Pd valence species) on TiO2 (PdOx/TiO2) outperforms its oxide counterpart (PdO/TiO2) for methanol dehydrogenation reaction, suggesting the generic feature of this multi-valence strategy.

Results and discussion

The preparation of photocatalysts began with the synthesis of rhodium oxide (Rh2O3) on TiO2 (Rh2O3/TiO2) using a molten-salt method.10 For the three phases of TiO2, it is widely discussed that anatase outperforms the other two phases (rutile and brookite) for photocatalysis.20,21 Therefore, the TiO2 anatase nanoparticles (<25 nm) are used in this work. Then the Rh species in Rh2O3/TiO2 were partially reduced using a thermal treatment in the H2 atmosphere, of which the obtained sample was denoted as RhOx/TiO2. The thermal treatment temperature and the Rh content were optimized to be 275 °C and 0.15 wt%, respectively (Fig. S1 and S2). In addition, the metallic Rh nanoparticle (Rh-np) decorated TiO2 (Rh-np/TiO2) was prepared as a reference using a conventional photo-deposition method.22 The inductively coupled plasma optical emission spectroscopy measures the Rh contents in Rh2O3/TiO2, RhOx/TiO2, and Rh-np/TiO2 to be 0.142 wt%, 0.143 wt%, and 0.151 wt% (Table S1), respectively, which is close to the calculated value of 0.15 wt%. The morphology, crystal structure, and chemical state of the TiO2 in Rh2O3/TiO2, RhOx/TiO2, and Rh-np/TiO2 photocatalysts were first characterized, and there were no significant differences found among these photocatalysts (Fig. S3–S6). The specific surface area of Rh-np/TiO2, Rh2O3/TiO2 and RhOx/TiO2 were 53.16 m2 g−1, 53.19 m2 g−1, 50.13 m2 g−1, respectively. Compared to the original TiO2, the enhanced light absorbance of Rh2O3/TiO2, RhOx/TiO2, and Rh-np/TiO2 at the visible-light range can be attributed to the Rh species (Fig. S7).

The bright species in high-resolution scanning transmission electron microscopy (STEM) images of Rh2O3/TiO2 indicate the presence of Rh-based nanoclusters on the surface of TiO2, which is further manifested by the element mapping images (Fig. 1a, b and S8).23 After thermal treatment in H2 atmosphere, the Rh-based nanoclusters transformed into ultrafine nanodots (<1 nm), as demonstrated by the STEM images of RhOx/TiO2. The molten-salt method can facilitate the monodispersing of metal species on the surface of TiO2, thereby reducing the use of noble-metal co-catalysts.10 In contrast, STEM images of Rh-np/TiO2 display the existence of Rh nanoparticles with a size of around 3 nm, of which the Rh component was further evidenced by the energy-dispersive X-ray spectroscopy (EDS, Fig. 1e, f and S10). The Fourier transforms (FT) of the extended X-ray absorption fine structure (EXAFS) further demonstrate the local coordination of Rh species in these samples. Rh foil and Rh2O3 powder were included as references for the X-ray absorption spectroscopy (XAS), of which the peaks at 1.53 Å, 2.54 Å, and 2.91 Å can be allocated to Rh–O scattering, Rh–Rh scattering, and Rh–O–Rh scattering, respectively (Fig. 1g).24,25 The high-intensity Rh–Rh peak in the EXAFS of Rh-np/TiO2 confirms the aggregation of Rh atoms. A strong Rh–O peak (1.53 Å) and a weak Rh–O–Rh peak (2.73 Å) appear in the EXAFS of Rh2O3/TiO2. In addition to the Rh–O peak, there are two peaks between 2.1 Å and 2.9 Å in the EXAFS of RhOx/TiO2, which can be related to the mixture of Rh–Rh and Rh–O–Rh bonds. The negative shift of the length of Rh–Rh and Rh–O–Rh scatterings can be attributed to the small size of Rh2O3, RhOx, and Rh-np in these samples.26 The combination of STEM images and EXAFS results suggests that Rh2O3 and RhOx are most probably present as nanoclusters on the surface of TiO2.


image file: d5sc03267a-f1.tif
Fig. 1 Annular dark field (ADF), bright-field (BF) and dark-field (DF) STEM images, and EDS mapping of (a and b) Rh2O3/TiO2; (c and d) RhOx/TiO2; (e and f) Rh-np/TiO2, the inset is EDS spectrum of Rh; (g) Fourier transformed (FT) k3-weighted χ(k) function of the EXAFS spectra, (h) XANES spectra recorded at the Rh-K edge, (i) XPS spectra of the Rh 3d for Rh2O3/TiO2, RhOx/TiO2 and Rh-np/TiO2.

The valence states of Rh species in all photocatalysts were characterized using XAS and X-ray photoelectron spectroscopy (XPS). The X-ray absorption near-edge structure (XANES) of Rh2O3/TiO2 overlaps with that of Rh2O3, manifesting the oxidized state of Rh species in the synthesized Rh2O3/TiO2 (Fig. 1h).27 The XANES of RhOx/TiO2 lies between that of Rh foil and Rh2O3/TiO2, suggesting the partially reduced valence state of Rh species after the thermal treatment in the H2 atmosphere. In addition, the XANES of Rh-np/TiO2 is located between that of Rh foil and RhOx/TiO2, indicating a higher reduced state of Rh species in Rh-np/TiO2 than that of RhOx/TiO2. It is also explored that XPS spectra of Rh 3d evidence the valence state of Rh species in these samples (Fig. 1i). Only Rh3+ was detected in Rh2O3/TiO2, but Rh0 and Rh3+ were found in RhOx/TiO2 and Rh-np/TiO2. The co-existence of Rh0 and Rh3+ in Rh-np/TiO2 can be attributed to the partial oxidation of photo-deposited Rh nanoparticles when exposed to air.28,29 Accordingly, the primary Rh3+ species in RhOx/TiO2 are proposed to stay on the surface of the RhOx nanocluster, of which the distribution may also be influenced by the surface structure of TiO2.30 The XPS analysis also shows that the Rh3+/(Rh0 + Rh3+) ratio of RhOx/TiO2 is 52.84%, which is slightly higher than that of Rh-np/TiO2 (42.93%), consistent with the XANES result.

The influence of Rh species on the methanol dehydrogenation processes was probed by evaluating the photocatalytic performance of Rh2O3/TiO2, RhOx/TiO2, and Rh-np/TiO2 photocatalysts. Anhydrous methanol (>99.8%) rather than methanol aqueous solution is selected as the reaction solution to suppress the CO2 generation (CH3OH + H2O → 3H2 + CO2).31 The H2 and formaldehyde are the major products, with trace amounts of carbon monoxide (CO) and methane (CH4) detected in the reactions using all these photocatalysts (Fig. 2a and b). There may be a trace amount of CO2 produced due to the absorbed water in methanol.31 The CO can be generated from the complete dehydrogenation of methanol, while the formation of CH4 can be caused by the hydrogenation of methanol intermediates.32 These results manifest the high selectivity of Rh species as co-catalysts toward the production of formaldehyde for photocatalytic methanol dehydrogenation reactions. The high selectivity toward formaldehyde may be attributed to favorable kinetics on Rh species because the production of CO possesses a lower Gibbs free energy difference image file: d5sc03267a-t1.tif than the production of formaldehyde image file: d5sc03267a-t2.tif33 In particular, RhOx/TiO2 shows the highest H2 evolution rate (902.25 μmol h−1) among these three samples, which is 75% and 161% over that of Rh2O3/TiO2 and Rh-np/TiO2, respectively. An apparent TOF of 1236 h−1 was achieved with the RhOx/TiO2 photocatalyst, outperforming that of most reported co-catalysts for photocatalytic methanol dehydrogenation (Fig. 2c and Table S2). The optimal photocatalytic system reached an apparent quantum efficiency of 18% at 380 nm. There was no obvious decay of the H2 evolution rate on RhOx/TiO2 observed in five successive photocatalysis cycles, highlighting the cycling durability of the RhOx/TiO2 photocatalyst (Fig. 2d and e). The STEM, XANES, EXAFS, and element analysis results of RhOx/TiO2 after the photocatalytic test further confirm the structural and compositional stability of this photocatalyst (Fig. S11–S13). It is worth noting that there may be reversible charge transfer between the photocatalyst and methanol under light illumination, which can induce the change of the Rh valence state in these photocatalysts.5 In addition, a similar tendency was observed when replacing anatase-phase TiO2 with P25 (mixed phases of anatase and rutile, 21 nm) or replacing Rh species with Pd species (Fig. 2f), indicating the universality of this multi-valence strategy for methanol dehydrogenation reaction.


image file: d5sc03267a-f2.tif
Fig. 2 (a) H2 and CH2O evolution rates; and (b) CO and CH4 evolution rates of Rh2O3/TiO2, RhOx/TiO2, and Rh-np/TiO2 for photocatalytic methanol dehydrogenation. (c) Comparison of apparent TOF values in previous reported works with that of RhOx/TiO2 in this work.5,9–11,34–38 (d and e) Cycling test of RhOx/TiO2 for photocatalytic methanol dehydrogenation. (f) Photocatalytic H2 evolution rates of Rh2O3/P25, RhOx/P25, PdO/TiO2, and PdOx/TiO2. Photocatalytic measurement conditions: 50 mg of the photocatalyst dispersed in 50 mL of methanol (anhydrous, >99.8%) under mechanical stirring, 300 W Xe lamp (320–780 nm), 20 °C, 1 atm.

Although insignificant structural properties of TiO2 were detected in RhOx/TiO2. Rh2O3/TiO2, and Rh-np/TiO2 photocatalysts, control samples were prepared to investigate the impact of synthetic procedures on the photocatalytic activity of TiO2. The initial TiO2 went through the molten salt synthesis and hydrogen thermal treatment without Rh species, which were denoted as TiO2_MS and TiO2_MS_H, respectively. The Rh-np/TiO2_MS and Rh-np/TiO2_MS_H showed similar photocatalytic performance as Rh-np/TiO2 (Table S3). Meanwhile, there are no obvious changes in the valence states of Rh species in Rh2O3/TiO2 and RhOx/TiO2 that can be detected after the photocatalytic test (Fig. S14). Therefore, the distinct photocatalytic performances of these photocatalysts can be attributed to the Rh species in these materials. To verify this hypothesis, the kinetic isotope effect (KIE) was measured to evaluate the catalytic capability of Rh-based co-catalysts in these photocatalysts, which is demonstrated by the ratio of the H2 evolution rate from methanol (CH3OH) and D2 evolution rate from methanol-d4 (CD3OD).39 Generally, heavier isotopes require greater energy input to reach the transition state of the reaction, resulting in a slower reaction rate and a KIE value over one.40 Here, the KIE values are calculated to be 2.60, 1.89, and 1.82 for Rh-np/TiO2, RhOx/TiO2, and Rh2O3/TiO2, respectively (Fig. 3a). The much lower KIE value of RhOx/TiO2 than that of Rh-np/TiO2 indicates that RhOx works better for activating methanol molecules than Rh-np, which can enhance photocatalytic productivity.39 Interestingly, the KIE value of Rh2O3/TiO2 is slightly lower than that of RhOx/TiO2, but the latter shows a higher H2 evolution rate for photocatalytic methanol dehydrogenation. Therefore, there should be other factors that affect the catalytic activity of these photocatalysts. Advanced in situ techniques were applied to investigate the mechanism of the methanol dehydrogenation processes on Rh2O3/TiO2, RhOx/TiO2, and Rh-np/TiO2 below.


image file: d5sc03267a-f3.tif
Fig. 3 (a) KIE measurement, (b–d) gas-phase in situ DRIFTS spectra, and (e) in situ EPR spectra of Rh-np/TiO2, RhOx/TiO2, and Rh2O3/TiO2, respectively. The dashed lines in (e) represent the simulated spectra of CH3O* and *CH2OH radicals.

The in situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) measurement was conducted to track possible reaction intermediates of methanol dehydrogenation on these photocatalysts. The negative peaks of CH3OH adsorbates present on Rh-np/TiO2 (2850 cm−1 and 2957 cm−1), RhOx/TiO2 (2848 cm−1 and 2949 cm−1), and Rh2O3/TiO2 (2847 cm−1 and 2947 cm−1) under light irradiation, suggesting the conversion of methanol on these photocatalysts (Fig. 3b–d).41–43 The positive peaks at 2940 cm−1, 2840 cm−1, and 2816 cm−1 indicate the accumulation of methoxy (CH3O*) adsorbates on Rh-np/TiO2, while the corresponding negative peaks on RhOx/TiO2 (2923 cm−1, 2823 cm−1, and 2807 cm−1) and Rh2O3/TiO2 (2917 cm−1, 2820 cm−1, and 2806 cm−1) demonstrate the consumption of CH3O* adsorbates.41 In addition, DRIFTS spectra of TiO2 show a slight accumulation of CH3O* (2826 cm−1) on the surface (Fig. S15). These results manifest that the RhOx/TiO2 and Rh2O3/TiO2 are more effective than Rh-np/TiO2 for the activation of methanol molecules, which is consistent with KIE values. In particular, the sharp peaks of CH3O* adsorbate on Rh2O3/TiO2 suggest significant dissociative adsorption of methanol molecules via the cleavage of the O–H bond (Fig. 3d).

Since the conversion of methanol molecules can begin with the scission of either the O–H bond or C–H bond, there are two possible pathways for the methanol conversion to produce H2 and formaldehyde (eqn (1) and (2)).7 Accordingly, hydroxyl methyl (*CH2OH) and CH3O* radicals can be generated as reaction intermediates in pathway I and pathway II, respectively.44 The detection of possible radicals was then conducted using the in situ electron paramagnetic resonance (EPR) spectroscopy. The signal belonging to *CH2OH was predominant for RhOx/TiO2 and Rh-np/TiO2, while only CH3O* was detected for Rh2O3/TiO2 (Fig. 3e and S16).44 Different methanol intermediates suggest different reaction pathways for Rh2O3/TiO2, RhOx/TiO2, and Rh-np/TiO2. It is most possible that the methanol conversion takes place with the cleavage of the C–H bond in the methanol molecule on RhOx/TiO2 and Rh-np/TiO2 (pathway I), while Rh2O3/TiO2 goes to scissor the O–H bond of the methanol molecule as the first step (pathway II).7 These suggested reaction pathways warrant the following investigation of the mechanism with the aid of computational calculations.

 
Pathway I: CH3OH → *CH2OH + H* → CH2O* + 2H* → CH2O + H2(1)
 
Pathway II: CH3OH → CH3O* + H* → CH2O* + 2H* → CH2O + H2(2)

Computational calculations were conducted to better understand the mechanism of different reaction pathways on metallic Rh (Rh/TiO2), a mixture of metallic Rh and oxidative Rh species (RhOx/TiO2), and oxidative Rh (Rh2O3/TiO2) on the surface of TiO2 (Fig. S17–S19).45 According to the free Gibbs energy profiles, the scission of the C–H bond and O–H bond as the first step proceeds spontaneously on Rh/TiO2 and Rh2O3/TiO2, respectively, while both photocatalysts face a high free energy barrier (>0.2 eV) for the second step (Fig. 4a and b). The RhOx/TiO2 shows a much lower free energy barrier (0.13 eV) for the cleavage of the O–H bond as the second step, compared to that (0.24 eV) of Rh/TiO2, thus promoting the methanol dehydrogenation process. It is also shown that the free energy barrier for the desorption of H2 is in the order of Rh/TiO2 (0.58 eV) > Rh2O3/TiO2 (0.49 eV) > RhOx/TiO2 (0.33 eV), which indicates the beneficial role of multi-valence Rh species for the H2 desorption. Based on these results and analysis, a mechanism is proposed for the superior photocatalytic performance of RhOx/TiO2 (Fig. 4c). The photocatalytic conversion of methanol on RhOx/TiO2 starts with the C–H bond cleavage on Rh0 species, followed by the breaking of the O–H bond on Rh3+ species. Finally, the generated protons on Rh0 and Rh3+ recombine to release H2 molecules. The methanol oxidation reaction likely takes place on Rh3+ to produce HCHO, and the protons are reduced on Rh0 to generate H2.5 The cooperation of Rh0 and Rh3+ species not only facilitates the scission of C–H and O–H bonds in methanol molecules but also aids the desorption of H2 molecules. The facile desorption of H2 molecules can enable the fast recovery of the catalytic active site for the next reaction cycle, while the liquid environment may also affect the H2 desorption in practice.


image file: d5sc03267a-f4.tif
Fig. 4 Computational calculations of the Gibbs free energy profiles for methanol conversion to produce H2 and formaldehyde (CH2O) via (a) pathway I on Rh/TiO2 and RhOx/TiO2, (b) pathway II on Rh2O3/TiO2. (c) Scheme of the proposed mechanism for the photocatalytic methanol dehydrogenation to produce H2 and formaldehyde on RhOx/TiO2. The grey, red, and blue balls represent carbon (C), oxygen (O), and hydrogen (H) atoms, respectively.

Conclusions

Through the design of multi-valence metal species in the co-catalysts, this work develops an effective strategy for engineering materials to promote photocatalytic methanol dehydrogenation processes. In the case study of the RhOx/TiO2 photocatalyst, it is suggested that the oxidative Rh and metallic Rh species promote the scission of the O–H and C–H bonds in methanol molecules, respectively. Moreover, the mixture of oxidative Rh and metallic Rh species boosts the desorption of H2 molecules, which is essential for the fast recovery of active sites for the next reaction cycle. This synergy of multi-valent Rh species in RhOx/TiO2 photocatalyst results in an apparent TOF of 1236 h−1, exceeding that of most reported co-catalysts. In addition, this strategy can be extended to Pd species, of which the PdOx/TiO2 delivers significantly improved performance compared to PdO/TiO2 for photocatalytic methanol dehydrogenation reaction, showing its certain universality. The unveiled mechanism is expected to inspire the catalyst design for promoting the conversion of primary alcohols to value-added fuels and chemicals.

Author contributions

All authors contributed to the draft of this manuscript and have approved the final version of the manuscript. M. Xiao and L. Wang conceived the project. W. Meng and Y. Jiao conducted the computational study. H. Lu assisted with the XAS measurement. G. Zhao and Y. Jin supported the DRIFTS characterisations. Zitong Wang collected the XPS data.

Conflicts of interest

There are no conflicts to declare.

Data availability

The datasets generated during and/or analysed during the current study are not publicly available due to restrictions applied to the availability of these data but are available from the authors on reasonable request.

SI is available and includes experimental procedures, characterization data of the materials (XRD, XPS, SEM, TEM, DRIFTS, EPR, UV-vis, XAS) and computational details. See DOI: https://doi.org/10.1039/d5ra05449d.

Acknowledgements

The authors acknowledge the financial support from the Australian Research Council (ARC) through the Discovery Project (DP230100621), Laureate Fellowship (FL190100139), and Discovery Early Career Researcher Award (DE240100810). M. X. acknowledges the Philanthropic Grant (RM 2022002231) supported by the faculty of Engineering, Architecture, and Information Technology (EAIT) at the University of Queensland (UQ). M. X. thanks the technical support from the Centre for Microscopy and Microanalysis (CMM) and the Centre for Advanced Imaging (CAI), UQ. This research was undertaken on the X-ray Absorption Spectroscopy beamline at the Australian Synchrotron, part of ANSTO. M. X. expresses gratitude for the electronic microscopy support from Dr Nadja Tarakina and Miss Bolortuya Badamdorj at the Max Planck Institute of Colloids and Interfaces, Germany. The collection of experimental data and insightful discussion from Dr Miaoqiang Lyu is appreciated.

References

  1. C. F. Shih, T. Zhang, J. Li and C. Bai, Joule, 2018, 2, 1925–1949 CrossRef CAS.
  2. D. R. Palo, R. A. Dagle and J. D. Holladay, Chem. Rev., 2007, 107, 3992–4021 CrossRef CAS.
  3. L. E. Heim, H. Konnerth and M. H. G. Prechtl, Green Chem., 2017, 19, 2347–2355 RSC.
  4. K. Z. Gaca, J. A. Parkinson, L. Lue and J. Sefcik, Ind. Eng. Chem. Res., 2014, 53, 9262–9271 CrossRef CAS.
  5. H. Wang, H. Qi, X. Sun, S. Jia, X. Li, T. J. Miao, L. Xiong, S. Wang, X. Zhang, X. Liu, A. Wang, T. Zhang, W. Huang and J. Tang, Nat. Mater., 2023, 22, 619–626 CrossRef CAS PubMed.
  6. N. Uddin, Z. Sun, J. Langley, H. Lu, P. Cao, A. Wibowo, X. Yin, C. S. Tang, H. T. Nguyen, J. D. Evans, X. Li, X. Zhang, M. Heggen, R. E. Dunin-Borkowski, A. T. S. Wee, H. Zhao, N. Cox and Z. Yin, Proc. Natl. Acad. Sci. U. S. A., 2023, 120, e2212075120 CrossRef CAS.
  7. Y. Pang, M. N. Uddin, W. Chen, S. Javaid, E. Barker, Y. Li, A. Suvorova, M. Saunders, Z. Yin and G. Jia, Adv. Mater., 2019, 31, 1905540 CrossRef CAS.
  8. M. Xiao, Z. Wang, M. Lyu, B. Luo, S. Wang, G. Liu, H.-M. Cheng and L. Wang, Adv. Mater., 2019, 31, 1801369 CrossRef.
  9. Y. Zhang, J. Zhao, H. Wang, B. Xiao, W. Zhang, X. Zhao, T. Lv, M. Thangamuthu, J. Zhang, Y. Guo, J. Ma, L. Lin, J. Tang, R. Huang and Q. Liu, Nat. Commun., 2022, 13, 58 CrossRef PubMed.
  10. M. Xiao, L. Zhang, B. Luo, M. Lyu, Z. Wang, H. Huang, S. Wang, A. Du and L. Wang, Angew. Chem., Int. Ed., 2020, 59, 7230–7234 CrossRef PubMed.
  11. Y.-J. Yuan, Z.-J. Ye, H.-W. Lu, B. Hu, Y.-H. Li, D.-Q. Chen, J.-S. Zhong, Z.-T. Yu and Z.-G. Zou, ACS Catal., 2016, 6, 532–541 CrossRef.
  12. L.-N. Chen, K.-P. Hou, Y.-S. Liu, Z.-Y. Qi, Q. Zheng, Y.-H. Lu, J.-Y. Chen, J.-L. Chen, C.-W. Pao, S.-B. Wang, Y.-B. Li, S.-H. Xie, F.-D. Liu, D. Prendergast, L. E. Klebanoff, V. Stavila, M. D. Allendorf, J. Guo, L.-S. Zheng, J. Su and G. A. Somorjai, J. Am. Chem. Soc., 2019, 141, 17995–17999 CrossRef PubMed.
  13. L. Chen, Z. Qi, X. Peng, J.-L. Chen, C.-W. Pao, X. Zhang, C. Dun, M. Young, D. Prendergast, J. J. Urban, J. Guo, G. A. Somorjai and J. Su, J. Am. Chem. Soc., 2021, 143, 12074–12081 CrossRef PubMed.
  14. A. Kaithal, B. Chatterjee, C. Werlé and W. Leitner, Angew. Chem., Int. Ed., 2021, 60, 26500–26505 CrossRef PubMed.
  15. Y. Hao, D. Yu, S. Zhu, C.-H. Kuo, Y.-M. Chang, L. Wang, H.-Y. Chen, M. Shao and S. Peng, Energy Environ. Sci., 2023, 16, 1100–1110 RSC.
  16. K. Maeda, K. Teramura, D. Lu, N. Saito, Y. Inoue and K. Domen, Angew. Chem., Int. Ed., 2006, 45, 7806–7809 CrossRef PubMed.
  17. M. Liu, G. Zhang, X. Liang, Z. Pan, D. Zheng, S. Wang, Z. Yu, Y. Hou and X. Wang, Angew. Chem., Int. Ed., 2023, 62, e202304694 CrossRef CAS PubMed.
  18. T. Takata, J. Jiang, Y. Sakata, M. Nakabayashi, N. Shibata, V. Nandal, K. Seki, T. Hisatomi and K. Domen, Nature, 2020, 581, 411–414 CrossRef CAS.
  19. S. Ida, K. Sato, T. Nagata, H. Hagiwara, M. Watanabe, N. Kim, Y. Shiota, M. Koinuma, S. Takenaka, T. Sakai, E. Ertekin and T. Ishihara, Angew. Chem., Int. Ed., 2018, 57, 9073–9077 CrossRef CAS.
  20. J. Zhang, P. Zhou, J. Liu and J. Yu, Phys. Chem. Chem. Phys., 2014, 16, 20382–20386 RSC.
  21. W. Kim, T. Tachikawa, G.-h. Moon, T. Majima and W. Choi, Angew. Chem., Int. Ed., 2014, 53, 14036–14041 CrossRef CAS PubMed.
  22. K. Wenderich and G. Mul, Chem. Rev., 2016, 116, 14587–14619 CrossRef CAS PubMed.
  23. K. Khivantsev, C. G. Vargas, J. Tian, L. Kovarik, N. R. Jaegers, J. Szanyi and Y. Wang, Angew. Chem., Int. Ed., 2021, 60, 391–398 CrossRef CAS PubMed.
  24. F. Gu, X. Qin, M. Li, Y. Xu, S. Hong, M. Ouyang, G. Giannakakis, S. Cao, M. Peng, J. Xie, M. Wang, D. Han, D. Xiao, X. Wang, Z. Wang and D. Ma, Angew. Chem., Int. Ed., 2022, 61, e202201540 CrossRef CAS PubMed.
  25. L. Zeng, Y. Chen, M. Sun, Q. Huang, K. Sun, J. Ma, J. Li, H. Tan, M. Li, Y. Pan, Y. Liu, M. Luo, B. Huang and S. Guo, J. Am. Chem. Soc., 2023, 145, 17577–17587 CrossRef CAS PubMed.
  26. J. T. Miller, A. J. Kropf, Y. Zha, J. R. Regalbuto, L. Delannoy, C. Louis, E. Bus and J. A. van Bokhoven, J. Catal., 2006, 240, 222–234 CrossRef CAS.
  27. Y. Liu, J. Ding, F. Li, X. Su, Q. Zhang, G. Guan, F. Hu, J. Zhang, Q. Wang, Y. Jiang, B. Liu and H. B. Yang, Adv. Mater., 2023, 35, 2207114 CrossRef CAS.
  28. S. Liu, Y. Ji, S. Yang, L. Li, Q. Shao, Z. Hu, C.-W. Pao, J.-L. Chen, T.-S. Chan, T. Zhu, Y. Li, X. Huang and J. Lu, Chem Catal., 2021, 1, 1104–1117 CAS.
  29. K. Teramura, S.-i. Okuoka, S. Yamazoe, K. Kato, T. Shishido and T. Tanaka, J. Phys. Chem. C, 2008, 112, 8495–8498 CrossRef CAS.
  30. P. Winkler, J. Zeininger, M. Raab, Y. Suchorski, A. Steiger-Thirsfeld, M. Stöger-Pollach, M. Amati, L. Gregoratti, H. Grönbeck and G. Rupprechter, Nat. Commun., 2021, 12, 6517 CrossRef CAS.
  31. M. Xiao, A. Baktash, M. Lyu, G. Zhao, Y. Jin and L. Wang, Angew. Chem., Int. Ed., 2024, 63, e202402004 CrossRef CAS.
  32. Z. Zhao, X. Yao and G. Hou, ACS Catal., 2023, 13, 7978–7986 CrossRef CAS.
  33. E. Alberico and M. Nielsen, Chem. Commun., 2015, 51, 6714–6725 RSC.
  34. W.-T. Chen, A. Chan, D. Sun-Waterhouse, J. Llorca, H. Idriss and G. I. N. Waterhouse, J. Catal., 2018, 367, 27–42 CrossRef CAS.
  35. B.-H. Lee, S. Park, M. Kim, A. K. Sinha, S. C. Lee, E. Jung, W. J. Chang, K.-S. Lee, J. H. Kim, S.-P. Cho, H. Kim, K. T. Nam and T. Hyeon, Nat. Mater., 2019, 18, 620–626 CrossRef CAS.
  36. X. Ruan, X. Cui, Y. Cui, X. Fan, Z. Li, T. Xie, K. Ba, G. Jia, H. Zhang, L. Zhang, W. Zhang, X. Zhao, J. Leng, S. Jin, D. J. Singh and W. Zheng, Adv. Energy Mater., 2022, 12, 2200298 CrossRef CAS.
  37. S. Rej, S. M. H. Hejazi, Z. Badura, G. Zoppellaro, S. Kalytchuk, Š. Kment, P. Fornasiero and A. Naldoni, ACS Sustain. Chem. Eng., 2022, 10, 17286–17296 CrossRef CAS.
  38. A. Moya, A. Cherevan, S. Marchesan, P. Gebhardt, M. Prato, D. Eder and J. J. Vilatela, Appl. Catal., B, 2015, 179, 574–582 CrossRef CAS.
  39. S. Luo, H. Lin, Q. Wang, X. Ren, D. Hernández-Pinilla, T. Nagao, Y. Xie, G. Yang, S. Li, H. Song, M. Oshikiri and J. Ye, J. Am. Chem. Soc., 2021, 143, 12145–12153 CrossRef CAS.
  40. X. Wang, D. Li, Z. Gao, Y. Guo, H. Zhang and D. Ma, J. Am. Chem. Soc., 2023, 145, 905–918 CrossRef CAS PubMed.
  41. Z. Qi, L. Chen, S. Zhang, J. Su and G. A. Somorjai, J. Am. Chem. Soc., 2021, 143, 60–64 CrossRef CAS PubMed.
  42. C. Fu, F. Li, J. Zhang, D. Li, K. Qian, Y. Liu, J. Tang, F. Fan, Q. Zhang, X.-Q. Gong and W. Huang, Angew. Chem., Int. Ed., 2021, 60, 6160–6169 CrossRef CAS PubMed.
  43. G. L. Chiarello, D. Ferri and E. Selli, Appl. Surf. Sci., 2018, 450, 146–154 CrossRef CAS.
  44. K. Kočí, M. Reli, M. Edelmannová, I. Troppová, H. Drobná, A. Rokicińska, P. Kuśtrowski, D. Dvoranová and L. Čapek, J. Photochem. Photobiol., A, 2018, 366, 55–64 CrossRef.
  45. W. Chen, E. D. Cubuk, M. M. Montemore, C. Reece, R. J. Madix, C. M. Friend and E. Kaxiras, J. Phys. Chem. C, 2018, 122, 7806–7815 CrossRef CAS.

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