Selective CO2 hydrogenation enhanced by tuning the zinc content in nickel catalysts

Min Caoa, Yichen Huanga, Yu Gaoa, Zihan Wanga, Qianqian Wanga, Sha Li*a, Feng Yua, Li Qiua, Ruifeng Lia, Xiaoliang Yan*a and Yun-Xiang Pan*b
aCollege of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, P. R. China
bSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China. E-mail: yxpan81@sjtu.edu.cn

Received 4th November 2025 , Accepted 15th December 2025

First published on 16th December 2025


Abstract

Electron-rich Ni sites in Ni3Zn–Al2O3 drive CO production through monodentate formate decomposition. Meanwhile, a Zn-evaporation-mediated strategy was proposed to tune Zn content, and engineered electron-deficient Ni–Al2O3 promotes CH4 formation by enabling bidentate formate hydrogenation with abundant *H under lean redox conditions (CO2[thin space (1/6-em)]:[thin space (1/6-em)]H2 = 1[thin space (1/6-em)]:[thin space (1/6-em)]1).



New concepts

Achieving tunable selectivity in CO2 hydrogenation remains challenging and requires precise control over the electronic structure of Ni. Herein, we developed a zinc-evaporation-mediated strategy, which tuned the Zn content and transformed a pristine Ni3Zn–Al2O3 alloy catalyst into a Ni–Al2O3 dealloyed catalyst. This structural evolution switches the hydrogenation selectivity from CO on the alloy to CH4 on the dealloyed catalyst. The distinct selectivity originates from the electronic differences at the Ni sites. Ni within the Ni3Zn–Al2O3 alloy exhibited an electron-rich character at the metal–oxide interface, whereas Ni in the dealloyed Ni–Al2O3 featured an electron-deficient structure at the oxide–metal interface. These distinct electronic states critically dictated the activation and adsorption of the key reaction intermediates in the reaction. While both catalysts followed an associative pathway for CO2 hydrogenation, monodentate formate decomposition dominates in the alloyed catalyst, whereas the dealloyed system favors bidentate formate hydrogenation to CH4.

1. Introduction

The catalytic hydrogenation of CO2 using renewable H2 offers a promising route to mitigate anthropogenic climate change while valorizing carbon resources.1,2 Nickel-based catalysts are particularly attractive for this process due to their high activity, low cost and abundance relative to noble metals.1,3 However, achieving tunable selectivity between the competitive pathways towards CO via the reverse water–gas shift (RWGS) reaction and CH4 via methanation remains a significant challenge under ambient pressure conditions.

Product selectivity hinges critically on the catalyst's ability to control C–O bond scission, intermediate adsorption strength, and hydrogenation ability.4–6 This is governed by the electronic structure of the active Ni sites and their local microenvironment.5 Electron-rich Ni sites typically favor CO formation by weakening CO adsorption and facilitating desorption.7 Conversely, electron-deficient Ni sites promote H2 activation, deeper hydrogenation of intermediates, and consequently, CH4 production.8–10 For instance, while alloying Ni with electronegative metals (e.g., Ru) can create electron-deficient sites favoring CH4,10 pairing Ni with less electronegative metals like Zn (Pauling scale: Zn = 1.65, Ni = 1.91) can generate electron-rich Ni sites (Niδ−–Znδ+), suppressing CO adsorption and H2 dissociation to favor CO.11,12

Notably, Zn exhibits high volatility (m.p. 419.5 °C) and weak metal bonding, enabling its migration from alloys at elevated temperatures.13–15 Recent studies exploit this phenomenon for catalyst synthesis (e.g., intermetallic, porous materials)16–19 and optimization (e.g., creating ZnOx–metal interfaces, dual sites, dispersed Zn2+).20–22 However, employing volatile component migration to deliberately modulate the electronic states of Ni and thereby switching CO2 hydrogenation selectivity between CO and CH4 remains unexplored.

Herein, we report a zinc-evaporation-mediated strategy that tunes the Zn content and dynamically transforms a pristine Ni3Zn–Al2O3 alloy catalyst into a dealloyed Ni–Al2O3 material. This structural evolution, driven by controlled Zn migration, induces a profound switch in selectivity: from CO at the electron-rich Ni sites within the Ni3Zn–Al2O3 alloy to CH4 at the electron-deficient Ni sites within the dealloyed Ni–Al2O3 catalyst. We elucidate the origin of this tunable selectivity through the distinct electronic states at the Ni sites and their impact on intermediate activation and reaction pathways. Furthermore, we demonstrate outstanding activity and stability for CH4 production under a challenging lean redox environment (CO2[thin space (1/6-em)]:[thin space (1/6-em)]H2 = 1[thin space (1/6-em)]:[thin space (1/6-em)]1), a critical condition for practical application. This study establishes volatile element migration as a powerful tool for in situ electronic modulation and selectivity control in CO2 hydrogenation.

2. Results and discussion

2.1. Catalytic performance of selectivity switching under lean redox conditions

In this work, we propose a zinc-evaporation-mediated strategy to design two nickel-based catalysts (Ni3Zn–Al2O3 and Ni–Al2O3) for selective CO2 hydrogenation. Initially, the CO2 hydrogenation behavior of two catalysts was determined at 200–410 °C at a CO2[thin space (1/6-em)]:[thin space (1/6-em)]H2 ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]1, and the results are shown in Fig. 1a and b. Both Ni3Zn–Al2O3 and Ni–Al2O3 presented similar CO2 conversion, which increased with the rise of the reaction temperature. As expected, the two catalysts had distinct selectivity, i.e., CO2 was converted to major CO on Ni3Zn–Al2O3, whereas CO2 was hydrogenated to predominantly CH4 on Ni–Al2O3. This is verified by the different activation energies (Ea) for CO and CH4 formation on the two catalysts, as shown in Fig. 1e and f, where the Ea values of CO and CH4 formation were 73.0 and 81.1 kJ mol−1 on Ni3Zn–Al2O3, and 95.6 and 39.9 kJ mol−1 on Ni–Al2O3, respectively. Furthermore, a long-term catalytic test was carried out at 350 °C under identical reaction conditions. Both catalysts showed stable performance for 100 h. Specifically, Ni3Zn–Al2O3 exhibited 14.0% CO2 conversion with 91.6% CO selectivity, while Ni–Al2O3 achieved a stable CO2 conversion of 19.5% with 77.7% CH4 selectivity (Fig. 1c and d).
image file: d5nh00736d-f1.tif
Fig. 1 (a) and (b) CO2 hydrogenation activity tests under a CO2[thin space (1/6-em)]:[thin space (1/6-em)]H2 ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]1, and (c) and (d) the stability tests of the CO2 hydrogenation reaction at 350 °C under a CO2[thin space (1/6-em)]:[thin space (1/6-em)]H2 ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]1 on (a) and (c) Ni3Zn–Al2O3 and (b) and (d) Ni–Al2O3. (e) and (f) the Arrhenius plots for (e) CH4 and (f) CO formation activation energy.

2.2. Zn evaporation-mediated structural transformation

For catalyst synthesis, the Ni3Zn–Al2O3 catalyst was first obtained using a coprecipitation–hydrothermal method, as reported in detail in our previous work.23 We have noticed that Zn exhibits high volatility (m.p. 419.5 °C) and weak metal bonding, enabling its migration from alloys at elevated temperatures.13–15 Moreover, the migration of volatile components could modulate the electronic state of Ni and thereby switch CO2 hydrogenation selectivity between CO and CH4. Therefore, the Zn evaporation-mediated strategy was proposed to design Ni–Al2O3 catalysts for tailoring the selectivity of CO2 hydrogenation from CO to CH4 as shown in Fig. 2a. During the process, metallic Zn on Ni3Zn–Al2O3 was evaporated from the alloy component, as evidenced by the presence of argent deposition on the quartz tube wall (Fig. S1). The XRD pattern of Ni3Zn–Al2O3, shown in Fig. 2b, exhibits characteristic peaks at 43.7°, 50.9° and 75.3°, which are attributed to the (111), (200) and (220) planes of Ni3Zn. The zinc evaporation-mediated Ni–Al2O3 showed a blue shift of sharp diffraction peaks at 44.5°, 51.8° and 76.4°, corresponding to the (111), (200) and (220) planes of face-centered cubic Ni in the XRD pattern (Fig. 2b). Moreover, the evaporation of volatile Zn metal in pristine catalysts from the original alloy architectures results in increased loading of the remaining active metal. The element analysis by ICP–OES, shown in Table S1, confirmed the increase in Ni loading from 52.0 wt% to 87.7 wt% and decrease in Zn loading from 30.0 wt% to 3.3 wt% before and after Zn migration.
image file: d5nh00736d-f2.tif
Fig. 2 (a) Schematic diagram of the Zn evaporation-mediated strategy for the conversion of the Ni3Zn alloy catalyst to Ni–Al2O3 under H2 at 800 °C. (b) XRD patterns of fresh Ni3Zn–Al2O3 and Ni–Al2O3. (c) In situ PXRD patterns for the structure evolution on pristine Ni3Zn–Al2O3 under H2 for 3 h.

To further enhance the understanding of structural evolution of the catalyst using the evaporation of Zn species, we performed in situ PXRD experiments under pure H2 on pristine Ni3Zn–Al2O3 at 800 °C, as depicted in Fig. 2c. The alloy sample was first obtained in the reaction chamber at 550 °C for 2 h under H2, and then the temperature was increased to 800 °C. The three diffraction peaks for the Ni3Zn alloy shifted toward higher 2θ values, accompanied by an increase in temperature to 800 °C. Specifically, this peak shift was significant in the first 1 h, indicating the fast evaporation of Zn from the alloy during the initial period. This trend slowly progressed with further increases in treatment time. This observation suggested the occurrence of the migration process through Ni3Zn(s) → Ni3(s) + Zn(g) during reduction under high-temperature conditions. Concurrently, the diffraction peaks of Ni–Al2O3 became narrower and sharper in comparison with the peaks on Ni3Zn–Al2O3, suggesting the growth in Ni particle size on the former.

2.3. Morphological and interface evolution

To attain a more comprehensive understanding of the structural nature of Ni3Zn–Al2O3 and Ni–Al2O3, HAADF–STEM and the corresponding EDS elemental analysis were carried out, and the results are presented in Fig. 3. The average particle size of fresh Ni3Zn–Al2O3 and Ni–Al2O3 was 10.8 and 40.4 nm, respectively, derived from TEM images shown in Fig. S2. The larger particle size of Ni–Al2O3 was found to originate from particle aggregation during high temperature treatment. Notably, it is well-established that Ni particles larger than 8 nm generally favor CH4 formation, while those below 5 nm promote CO production.24–26 Since both catalysts studied here had Ni particles with sizes larger than 10 nm, yet exhibited markedly different product selectivities, particle size is unlikely to be the determining factor. For Ni3Zn–Al2O3, the HAADF–STEM image exhibits lattice spacings of 0.206 and 0.180 nm in Fig. 3a, corresponding to the (111) and (220) fringes of Ni3Zn, respectively. The elements of Al (orange color) and O (red color) of Al2O3 support were well overlapped, while the elements of Ni (blue color) and Zn (yellow color) were homogeneously mixed and dispersed on Al2O3 (Fig. 3b and c). In contrast, for Ni–Al2O3, shown in Fig. 3d–f, the HAADF–STEM images displayed lattice fringes of 0.204 and 0.179 nm for the (111) and (200) planes of Ni. EDS mapping analysis confirms the segregation of Zn from Ni in the bulk structure, and the weak Zn signal suggests complete Zn migration in 10 h. Moreover, Al and O partially covered and deposited on the exterior surface of large Ni particles in the form of Al2O3 islands. The TEM images of other regions of the Ni–Al2O3 catalyst in Fig. S3 give the intuitive impression that Al2O3 islands covered the metallic Ni exterior surface, which is different from Ni3Zn–Al2O3, where small alloy particles were deposited on the Al2O3 support surface. The resultant Ni–Al2O3 catalyst exhibits an inverse structure, wherein the active metal acts as a support for oxide domains. This architecture differs fundamentally from conventional supported catalysts, where metal nanoparticles are dispersed on an oxide support. In inverse catalysts, oxide islands are dispersed across a continuous metal matrix, which maximizes the perimeter and density of the metal–oxide interfacial sites.27 These interfacial sites facilitate the adsorption of active hydrogen species and help optimize the surface coverage of reactants and intermediates.28,29 The synergistic interactions between the metal and oxide domains enhance the hydrogenation of surface species, as a feature particularly favorable for CH4 formation observed in our experiments.
image file: d5nh00736d-f3.tif
Fig. 3 (a), (b), (d) and (e) HAADF–STEM images and (c) and (f) the corresponding EDS elemental mappings of (a)–(c) Ni3Zn–Al2O3 and (d)–(f) Ni–Al2O3.

The nature of active sites prominently affects the hydrogenation selectivity. To investigate changes in the active sites derived by structure reconstruction, temperature programmed surface reactions of CO2 hydrogenation under a CO2[thin space (1/6-em)]:[thin space (1/6-em)]H2 ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]1 on Ni3Zn–Al2O3 and Ni–Al2O3 were carried out to disclose the different activation behaviors for the reactant (Fig. 4a and b). The on-set temperature for CO2 conversion on the two catalysts is almost the same, while completely different products are obtained, i.e., the first formation of CO at 184 °C on Ni3Zn–Al2O3, but of CH4 at 170 °C on Ni–Al2O3. In addition, the formation of CH4 on Ni3Zn–Al2O3 and CO on Ni–Al2O3 starts at 280 and 205 °C, respectively. Notably, CO formation was predominated by CH4 formation on Ni3Zn–Al2O3 at a temperature below 400 °C, whereas CH4 is generated as the major product instead of CO on Ni–Al2O3 at low temperatures (<500 °C). The CO pulse chemisorption measurement revealed that the active surface areas of Ni3Zn–Al2O3 and Ni–Al2O3 were 38.0 and 17.4 m2 g−1, respectively. The relatively lower active surface area of Ni–Al2O3 is probably due to the presence of oxide islands partially covering the agglomerated Ni surface.27 The similar onset temperatures of CO2 conversion indicated that the exposed Ni sites on Ni–Al2O3 exhibit higher intrinsic activity. This demonstrates that the nature of active sites on Ni3Zn–Al2O3 and Ni–Al2O3 changed, which is related to the difference in product selectivity.


image file: d5nh00736d-f4.tif
Fig. 4 (a) and (b) TPSR curves of CO2 and H2 with a ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]1 on (a) Ni3Zn–Al2O3 and (b) Ni–Al2O3.

2.4. Electronic structure differences of Ni3Zn–Al2O3 and Ni–Al2O3

Alloying has generally been proposed to modulate electronic structure. Bader charge and the deformation charge density calculations confirm the electron transfer from Zn to Ni in the ZnNi3 alloy, leading to the formation of electron-rich Ni sites.12 To probe surface electronic states, XPS measurements were conducted (Fig. 5a and b and Table S2). The Ni 2p3/2 spectrum of Ni3Zn–Al2O3 exhibited binding energies at 851.8 (Ni0), 854.8 (Ni2+), and 861.0 (satellite) eV, whereas those for Ni–Al2O3 showed distinct positive shifts to 852.5 (Ni0), 855.7 (Ni2+), and 861.3 eV (satellite). The presence of NiO on the surface originated from the air exposure during handling. Critically, the 0.7 eV higher binding energy for Ni0 in Ni–Al2O3 signifies electron-deficient Ni sites.
image file: d5nh00736d-f5.tif
Fig. 5 XPS spectra of (a) Ni 2p3/2, and (b) O 1s of Ni3Zn–Al2O3 and Ni–Al2O3. (c) H2-TPD profiles of Ni3Zn–Al2O3 and Ni–Al2O3.

This electronic contrast is further corroborated by the O 1s spectra (Fig. 5b). The binding energies of the O 1s spectrum of Ni3Zn–Al2O3 at 530.4, 531.9 and 533.3 eV are attributed to the lattice oxygen (Olat.), oxygen vacancies (Ovac.) and surface adsorbed oxygen species (Oads.), while the corresponding peaks on Ni–Al2O3 appeared at 530.2, 531.7 and 533.1 eV.30–34 Compared to Ni3Zn–Al2O3, the adsorbed oxygen species remained unchanged on Ni–Al2O3, but the oxygen vacancies increased from 50% to 60%, accompanied by a decrease in lattice oxygen species from 18% to 5%. Oxygen vacancies serve as electron traps,9,35 facilitating electron transfer from Ni to oxygen. Compared to Ni3Zn–Al2O3, the concurrent blue shift in Ni 2p3/2 and red shift in O 1s binding energies on Ni–Al2O3 unambiguously demonstrated charge transfer from Ni to oxygen, forming electron-deficient Ni sites and confirming strong electronic interactions between Ni and Al2O3.

To elaborate on the different H2 activation abilities of Ni sites on the two catalysts, H2-TPD analysis was carried out as shown in Fig. 5c. Both catalysts exhibited two peaks at 165 and 277 °C for Ni3Zn–Al2O3 and at 242 and 440 °C for Ni–Al2O3, respectively. The peaks at deposition temperatures below 200 °C and in the range of 200–300 °C were attributed to the presence of weakly and strongly adsorbed H2 on the top sites of metallic Ni0 species,36,37 while the peak at a temperature above 400 °C is ascribed to the interface adsorption of hydrogen dissociated from electron-deficient Ni sites.8,9,38 Enhanced H2 activation on Ni–Al2O3 created a hydrogen-rich environment, promoting significant hydrogenation abilities.

The effect of the electronic structure of Ni on the adsorption/desorption of CO as the main intermediate was investigated at 25 °C using in situ DRIFTS. As shown in Fig. 6, Ni3Zn–Al2O3 (Fig. 6a) and Ni–Al2O3 (Fig. 6b) presented CO adsorption peaks at 2170 and 2116 cm−1 and in the range of 2000–2050 cm−1, corresponding to gaseous CO and linearly adsorbed CO, respectively. Unlike Ni3Zn–Al2O3, Ni–Al2O3 exhibited an apparent shoulder peak at 1970 cm−1, which is ascribed to the bridged CO adsorbed on Ni flat planes in an oxide–metal interface.39,40 Notably, the intensity of linearly and bridged CO on Ni–Al2O3 was significantly higher than that on Ni3Zn–Al2O3, indicating the superior CO adsorption strength on the former. This is further confirmed by the relatively high adsorption strength of CO species on Ni–Al2O3 in comparison with that on Ni3Zn–Al2O3 under Ar purging for 30 min. This matches well with density functional theory (DFT) studies of CO adsorption energy on Ni(111) and NiZn(111) surfaces.41 On the NiZn(111) surface, CO was adsorbed on the electron-rich h-Ni2 site with an adsorption energy of –1.68 eV. However, on the Ni(111) surface, CO was adsorbed stably on the h-Ni3 site via bonding with the C atom, with an enhanced adsorption energy of –2.16 eV.


image file: d5nh00736d-f6.tif
Fig. 6 In situ DRIFTS of CO adsorption and desorption on (a) Ni3Zn–Al2O3 and (b) Ni–Al2O3 at 25 °C. The reaction times for the spectra shown are 1, 2, 3, 5, 10, 15, 20, 25, and 30 min from bottom to top for adsorption and desorption, respectively.

Generally, CO chemisorption on metals involves two primary mechanisms: σ donation, where electrons transfer from the CO(5σ) orbital into empty metal bands, and π back-donation, where electrons transfer from occupied metal d-bands into the CO(2π) orbitals. Thermochemically, π back-donation dominates the bonding interaction.42,43 Ab initio self-consistent field calculations for the Ni/Zn system reveal that Zn and Ni interactions caused Ni d electrons to shift towards the bimetallic bond region (metal–metal interface).44 This elevates the Ni d orbital energy (away from the CO(2π) level), rendering these electrons unavailable for effective π back-donation into CO. Consequently, Zn to Ni electron transfer weakens π back-donation, leading to attenuated CO adsorption strength on the Ni3Zn alloy.

Conversely, Zn migration eliminates this charge transfer effect in the dealloyed Ni–Al2O3 catalyst. The absence of electron density redistribution within the former bimetallic bonding region enhances d electron back-donation towards CO, strengthening the Ni–C bond and resulting in significantly stronger CO adsorption. This fundamental difference in adsorption behavior directly dictates product selectivity: facile CO desorption from the electron-rich Ni sites in Ni3Zn–Al2O3 favors high CO production, while persistent CO chemisorption on the electron-deficient Ni sites in Ni–Al2O3 suppresses CO release and enables further hydrogenation toward CH4.

2.5. The reaction pathway for CO2 hydrogenation on Ni catalysts with different electronic structure

To illustrate the effect of electronic structure in Ni catalysts on reaction pathways, in situ DRIFTS measurements were then carried out to study adsorption behavior, identify the surface intermediates, and monitor the reaction mechanism of CO2 adsorption (Fig. S4) and subsequent hydrogenation with a CO2[thin space (1/6-em)]:[thin space (1/6-em)]H2 ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]1 over Ni3Zn–Al2O3 and Ni–Al2O3 (Fig. 7). During CO2 adsorption (Fig. S4), both catalysts exhibited peaks at 2200–2400 and 1510/1360 cm−1, which were assigned to the presence of gaseous CO2 and monodentate carbonate species, respectively.45–47 Besides, Ni–Al2O3 presented an extra peak at 1645 cm−1, corresponding to the formation of bicarbonate species.48,49 No peaks for CO intermediates, such as linearly or bridged CO, were observed on either catalyst. This suggests that the direct CO2 dissociation pathway cannot occur during CO2 adsorption on the two catalysts.
image file: d5nh00736d-f7.tif
Fig. 7 The in situ DRIFTS spectra of (a) and (b) Ni3Zn–Al2O3 and (d) and (e) Ni–Al2O3 for CO2 hydrogenation. Symbols: (▼) CH4; (▲) gaseous CO; (○) bicarbonate; (Δ) monodentate formate; (●) bidentate formate; and (□) monodentate carbonate. The reaction times for the spectra shown are 1, 2, 3, 5, 10, 15, 20, 25, and 30 min from bottom to top. (c) and (f) Schematic illustrations of different reaction pathways on (c) Ni3Zn–Al2O3 and (f) Ni–Al2O3 for CO2 hydrogenation.

Upon introducing H2 into the reaction cell, in situ DRIFTS studies for CO2 hydrogenation were performed. For Ni3Zn–Al2O3, the shoulder peak for monodentate formate (m-*HCOO) appeared at 1590/1280 cm−1 after 5 min, originating from the hydrogenation of monodentate carbonate species.50,51 Concurrently, gaseous CO (2170 and 2116 cm−1) and CH4 (3016 cm−1) are formed on the control catalyst, as shown in Fig. 7a and b.45 The predominate formation of CO over CH4 was attributed to the poor hydrogenation ability of formate intermediates on Ni3Zn–Al2O3. In contrast, Ni–Al2O3 not only produced gaseous CH4 and CO, but also had new peaks presented at 2952 cm−1 and 1580/1540 cm−1, corresponding to the formation of bidentate formate intermediates (b-*HCOO, Fig. 7d and e), which can be derived from the hydrogenation of bicarbonate species.34,52

In situ DRIFTS reveals two distinct associative pathways for CO2 hydrogenation (Fig. 7c and f). While both catalysts initially chemisorb CO2 forming carbonate species, the divergent electronic structures of Ni sites dictated subsequent intermediate evolution. The Ni3Zn–Al2O3 catalyst, featuring small particles with abundant unsaturated sites, stabilizes monodentate formate (m-*HCOO, 1590/1280 cm−1). This configuration, as evidenced by coordination through a single O atom, exhibits lower thermodynamic stability and feasible formation (0.59 eV less stable than bidentate formate and 27 kJ mol−1 lower than the standard enthalpy of the corresponding formation),53,54 favoring rapid decomposition to CO (Fig. 7c). Conversely, Zn migration drives particle agglomeration in Ni–Al2O3, creating extended flat facets that stabilize bidentate formate (b-*HCOO, 1580/1540 cm−1) via dual O-atom coordination to Ni atop sites.52 This pathway proceeds through bicarbonate intermediates (1645 cm−1), formed via sequential hydrogenation of monodentate carbonate. According to XPS analysis, we concluded that Zn evaporation caused an increase in oxygen vacancy defects. In metal oxides, the electronegativity of oxygen is generally higher than that of other elements. Therefore, after oxygen atoms are removed, oxygen vacancies display positive charge states,55,56 with the ability to capture electrons. The electron transfer from metal to oxide not only induced the formation of electron-deficient Ni, which facilitated hydrogen activation and dissociation, but it also promoted oxide–metal interaction and resulted in an oxide–metal interface with more effective adsorption sites for *H species. Moreover, the inverse structure (Al2O3 islands on Ni particles) provides abundant oxide–metal interfaces, enriching the surface with dissociated *H species. These readily participate in stepwise hydrogenation, converting stable bidentate formate to CH4 (Fig. 7f), which is consistent with the reported kinetics under *H-rich conditions.57,58 Therefore, Zn alloying in Ni3Zn–Al2O3 promotes CO desorption and limits reactive *H coverage, favoring RWGS. The dealloyed Ni–Al2O3, however, leverages its restructured geometry to stabilize bidentate formate and maximize interfacial *H availability, collectively reducing the energetic barrier for deep hydrogenation to methane.

3. Conclusions

This work establishes volatile-element migration as a transformative strategy for in situ catalyst restructuring, demonstrating how controlled Zn evaporation dynamically transforms the Ni3Zn–Al2O3 alloy into a dealloyed Ni–Al2O3 catalyst to achieve a complete selectivity switch from CO to CH4 in CO2 hydrogenation. The electron-rich Ni sites and fragmented surfaces in Ni3Zn–Al2O3 favor unstable monodentate formate formation and facile CO desorption, while Zn removal generates an inverse structure (Al2O3 islands on enlarged Ni particles) with electron-deficient Ni sites that enhance H2 dissociation, enrich interfacial *H coverage, and stabilize bidentate formate on sufficient interface oxygen vacancies for deep hydrogenation to CH4 even under lean H2 conditions. These findings underscore how targeted in situ restructuring mediates both electronic states (Niδ → Niδ+) and geometric configurations to dictate reaction pathways, offering a generalizable route for dynamic catalyst optimization in CO2 valorization.

Author contributions

M. Cao: writing – original draft, investigation, and formal analysis. Y. Huang: methodology, investigation. Y. Gao: formal analysis. Z. Wang: formal analysis. Q. Wang: methodology and formal analysis. S. Li: project administration. F. Yu: formal analysis. L. Qiu: formal analysis. R. Li: resources and funding acquisition. X. Yan: writing – review and editing, conceptualization, and funding acquisition. Y.-X. Pan: supervision, conceptualization and funding acquisition.

Conflicts of interest

There are no conflicts to declare.

Data availability

The data supporting this article have been included within the article and supplementary information (SI). Supplementary information is available. See DOI: https://doi.org/10.1039/d5nh00736d.

The data supporting the findings of this study are available from the corresponding author (yxpan81@sjtu.edu.cn) upon reasonable request.

Acknowledgements

The authors acknowledge the National Natural Science Foundation of China (No. 22278286) and the Science Foundation for Distinguished Young Scholar of Shanxi Province (202303021223001). Dr Yan also thanks Dr Geoffrey A. Ozin from the University of Toronto for their useful discussion of the dealloying process.

References

  1. R. Ye, J. Ding, T. Reina, M. Duyar, H. Li, W. Luo, R. Zhang, M. Fan, G. Feng, J. Sun and J. Liu, Nat. Synth., 2025, 4, 288–302 CrossRef.
  2. Z. Liu, Z. Deng, S. Davis and P. Ciais, Nat. Rev. Earth Environ., 2024, 5, 253–254 CrossRef.
  3. F. Hu, R. Ye, Z. Lu, R. Zhang and G. Feng, Energy Fuels, 2022, 36, 156–169 CrossRef.
  4. W. Zhang, T. Pu, Z. Wang, L. Shen and M. Zhu, Ind. Eng. Chem. Res., 2022, 61, 9678–9685 CrossRef.
  5. J. Hu, Y. Cai, J. Xie, D. Hou, L. Yu and D. Deng, Chemistry, 2024, 10, 1084–1117 CrossRef.
  6. D. Gao, W. Li, H. Wang, G. Wang and R. Cai, Trans. Tianjin Univ., 2022, 28, 245–264 CrossRef.
  7. S. Zhang, H. Ma, L. Jia, Z. Zhang, X. Li, S. Dang, Y. Huang, Y. Tian, W. Tu and Y. Han, Appl. Catal., B, 2025, 361, 124646 CrossRef.
  8. H. Li, J. Zhang, Y. Liu, L. Zheng, X. Cao, Y. He and D. Li, Chem. Eng. Sci., 2022, 260, 117867 CrossRef.
  9. Y. Zhao, T. Zhu, J. Li, C. Li, W. Lu, J. Liu, D. Zhang, Y. Dong and M. Yang, ACS Catal., 2025, 15, 5490–5502 CrossRef CAS.
  10. X. Yan, M. Cao, S. Li, P. Duchesne, W. Sun, C. Mao, R. Song, Z. Lu, X. Chen, W. Qian, R. Li, L. Wang and G. Ozin, J. Am. Chem. Soc., 2023, 145, 27358–27366 CrossRef CAS PubMed.
  11. L. Shen, W. Zhang, Y. Feng, J. Xu and M. Zhu, J. Mater. Chem. A, 2023, 11, 8248–8255 RSC.
  12. S. Lin, Q. Wang, M. Li, Z. Hao, Y. Pan, X. Han, X. Chang, S. Huang, Z. Li and X. Ma, ACS Catal., 2022, 12, 3346–3356 CrossRef CAS.
  13. H. Sasaki, T. Nagai and M. Maeda, J. Alloys Compd., 2010, 504, 475–478 CrossRef CAS.
  14. B. Yao, C. Xu, Y. Tang, Y. Du, S. Tan, S. Dai, G. Luo and Q. He, Nano Today, 2025, 63, 102746 CrossRef CAS.
  15. X. Wang, Q. Li, S. Feng, Y. Liu, C. Xu, Q. Zhou, H. Liu and Q. Yan, Trans. Tianjin Univ., 2025, 31, 131–144 CrossRef CAS.
  16. P. Wei, S. Chen, R. Luo, G. Sun, K. Wu, D. Fu, Z. Zhao, C. Pei, N. Yan and J. Gong, Nat. Commun., 2024, 15, 8157 CrossRef CAS PubMed.
  17. Z. Lu, C. Li, J. Han, F. Zhang, P. Liu, H. Wang, Z. Wang, C. Cheng, L. Chen, A. Hirata, T. Fujita, J. Erlebacher and M. Chen, Nat. Commun., 2018, 9, 276 CrossRef PubMed.
  18. Y. Li, Q. Zhang, X. Zhao, H. Wu, X. Wang, Y. Zeng, Q. Chen, M. Chen and P. Liu, Adv. Funct. Mater., 2023, 33, 2214124 CrossRef CAS.
  19. Y. Xia, Z. Lu, J. Han, F. Zhang, D. Wei, K. Watanabe and M. Chen, Acta Mater., 2022, 238, 118210 CrossRef CAS.
  20. T. Song, R. Li, J. Wang, C. Dong, X. Feng, Y. Ning, R. Mu and Q. Fu, Angew. Chem., Int. Ed., 2024, 63, e202316888 CrossRef CAS.
  21. H. Jia, X. Feng, X. Du, L. Lin, R. Mu and Q. Fu, Angew. Chem., Int. Ed., 2025, 64, e202503319 CrossRef CAS.
  22. S. Almutairi, B. Mezari, P. Magusin, E. Pidko and E. Hensen, ACS Catal., 2012, 2, 71–83 CrossRef CAS.
  23. Q. Wang, W. Wang, M. Cao, S. Li, P. Wang, J. He, R. Li and X. Yan, Appl. Catal., B, 2022, 317, 121806 CrossRef CAS.
  24. K. Feng, J. Tian, M. Guo, Y. Wang, S. Wang, Z. Wu, J. Zhang, L. He and B. Yan, Appl. Catal., B, 2021, 292, 120191 CrossRef CAS.
  25. J. Simons, T. de Heer, R. van de Poll, V. Muravev, N. Kosinov and E. Hensen, J. Am. Chem. Soc., 2023, 145, 20289–20301 CrossRef CAS.
  26. D. Adhikari, C. Whitcom, W. Zhang, S. Zhang and R. Davis, J. Catal., 2024, 438, 115708 CrossRef CAS.
  27. Y. Han, C. Yang, W. Shao, L. Cai, W. Wang, Z. Jin and C. Jia, Nat. Commun., 2019, 10, 3470 CrossRef.
  28. C. Song, J. Liu, R. Wang, X. Tang, K. Wang, Z. Gao, M. Peng, H. Li, S. Yao, F. Yang, H. Lu, Z. Liao, X. Wen, D. Ma, X. Li and L. Lin, Nat. Chem. Eng., 2024, 1, 638–649 CrossRef.
  29. H. Du, J. Fan, C. Miao, M. Gao, Y. Liu, D. Li and J. Feng, Trans. Tianjin Univ., 2021, 27, 24–41 CrossRef CAS.
  30. J. Tian, P. Zheng, T. Zhang, Z. Han, W. Xu, F. Gu, F. Wang, Z. Zhang, Z. Zhong, F. Su and G. Xu, Appl. Catal., B, 2023, 339, 123121 CrossRef CAS.
  31. Y. Wang, L. Li, G. Li, Q. Zhao, X. Wu, Y. Wang, Y. Sun and C. Hu, ACS Catal., 2023, 13, 6486–6496 CrossRef CAS.
  32. X. Jia, X. Zhang, N. Rui, X. Hu and C. Liu, Appl. Catal., B, 2019, 244, 159–169 CrossRef CAS.
  33. R. Ye, L. Ma, X. Hong, T. Reina, W. Luo, L. Kang, G. Feng, R. Zhang, M. Fan, R. Zhang and J. Liu, Angew. Chem., Int. Ed., 2024, 63, e202317669 CrossRef CAS PubMed.
  34. P. Hongmanorom, J. Ashok, P. Chirawatkul and S. Kawi, Appl. Catal., B, 2021, 297, 120454 CrossRef CAS.
  35. Y. Wang, X. Wang, M. Qiao, Q. Wu, K. Liu, X. Yi, R. Qin, G. Fu and N. Zheng, Sci. China: Chem., 2024, 67, 4134–4141 Search PubMed.
  36. R. Yan and W. Oscar, J. CO2 Util., 2023, 68, 102381 CrossRef.
  37. D. Wang, X. Kang, Y. Gu, H. Zhang, J. Liu, A. Wu, H. Yan, C. Tian and H. Fu, ACS Catal., 2020, 10, 10449–10458 CrossRef CAS.
  38. H. Zhao, C. Liu, Y. Zheng, S. Li, Y. Gao, Q. Ma, F. Wang and Z. Dong, ACS Catal., 2024, 14, 8619–8630 CrossRef CAS.
  39. D. Blackmond and E. Ko, J. Catal., 1985, 96, 210–221 CrossRef CAS.
  40. X. Zhu, P. Huo, Y. Zhang, D. Cheng and C. Liu, Appl. Catal., B, 2008, 81, 132–140 CrossRef CAS.
  41. P. Yin, H. Meng, L. Wang, Y. Lai, Y. Jie, J. Yu, W. Liu, X. Zhao, T. Shen, X. Zhang, J. Han, Y. Yang, H. Yan and M. Wei, J. Mater. Chem. A, 2022, 10, 16610–16619 RSC.
  42. K. Hermann, P. Bagus and C. Nelin, J. Phys. Rev. B, 1987, 35, 9467 CrossRef CAS.
  43. E. Davidson, K. Kunze, F. Machado and S. Chakravorty, Acc. Chem. Res., 1993, 26, 628 CrossRef CAS.
  44. J. Rodriguez and M. Kuhn, J. Phys. Chem., 1996, 100, 381–389 CrossRef CAS.
  45. T. Zhang, W. Wang, F. Gu, W. Xu, J. Zhang, Z. Li, T. Zhu, G. Xu, Z. Zhong and F. Su, Appl. Catal., B, 2022, 312, 121385 CrossRef CAS.
  46. M. Akatsuka, A. Nakayama and M. Tamura, Appl. Catal., B, 2024, 343, 123538 CrossRef.
  47. J. Di Cosimo, V. Díez, M. Xu, E. Iglesia and C. Apesteguía, J. Catal., 1998, 178, 499–510 CrossRef.
  48. C. Morterra, A. Zecchina, S. Coluccia and A. Chiorino, J. Chem. Soc., Faraday Trans. 1, 1977, 73, 1544–1560 RSC.
  49. H. Zhang, D. Mao, J. Zhang and D. Wu, Chem. Eng. J., 2023, 452, 139144 CrossRef.
  50. S. Collins, M. Baltanás and A. Bonivardi, J. Catal., 2004, 226, 410–421 CrossRef.
  51. A. Solis-Garcia, F. Louvier-Hernandez Jose, A. Almendarez-Camarillo and J. Fierro-Gonzalez, Appl. Catal., B, 2017, 218, 611–620 CrossRef.
  52. Q. Pan, J. Peng, T. Sun, S. Wang and S. Wang, Catal. Commun., 2014, 45, 74–78 CrossRef.
  53. G. Peng, S. Sibener, G. Schatz, S. Ceyer and M. Mavrikakis, J. Phys. Chem. C, 2012, 116, 3001–3006 CrossRef.
  54. G. Ruehl, S. Harman, O. Gluth, D. LaVoy and C. Campbell, ACS Catal., 2022, 12, 10950–10960 CrossRef.
  55. L. Dong, R. Jia, B. Xin, B. Peng and Y. Zhang, Sci. Rep., 2017, 7, 40160 CrossRef PubMed.
  56. D. Liu, S. Clark and J. Robertson, Appl. Phys. Lett., 2010, 96, 032905 CrossRef.
  57. C. Wang, Y. Lu, Y. Zhang, H. Fu, S. Sun, F. Li, Z. Duan, Z. Liu, C. Wu, Y. Wang, H. Sun and Z. Yan, Nano Res., 2023, 16, 12153–12164 CrossRef.
  58. H. Kang, Y. Liu, Y. Lu, P. Zhang, M. Tang, Z. Gao, H. Ge and W. Fan, J. Catal., 2024, 432, 115427 CrossRef.

This journal is © The Royal Society of Chemistry 2026
Click here to see how this site uses Cookies. View our privacy policy here.