Open Access Article
Mingyuan Zhanga,
Linxia Cuia,
Yang Jianga,
Rui Gaoa,
Haigang Hao*a and
Meilan Huang
*b
aSchool of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot, Inner Mongolia 010021, China. E-mail: haohaigang@imu.edu.cn
bSchool of Chemistry and Chemical Engineering, Queen's University, Belfast BT9 5AG, UK. E-mail: m.huang@qub.ac.uk
First published on 28th October 2025
The direct synthesis of acetic acid from natural gases has attracted great attention. However, achieving selective C–C coupling remains a major challenge. We designed doped single-atom transition metal catalysts on 2D materials, guided by DFT calculations on the reaction pathways for acetic acid synthesis via CH4/CO2 coupling. Among the catalysts examined, Ni–Si@h-BN shows strong electron synergy in CH4 activation and C–C coupling under the E–R mechanism, confirmed by kinetics.
Nickel is commonly used for CH4 conversion due to its high activity, but it is prone to coking and sintering.16 Studies show that adding Si atoms in Ni–Si/ZrO2 catalysts enhances Ni dispersion, stability, and resistance to coking during CH4 and CO2 dry reforming.17 This inspired us to examine the effect of Si on the electron density of Ni-based catalysts, to optimize Ni sites for coupling CH4 and CO2 into acetic acid. On the other hand, single-atom catalysts (SACs) on 2D materials have shown significant potential for CO2 conversion, owing to their high atom utilization and activity, for example, Feng et al. demonstrated that SACs embedded in a 2D graphitic carbon nitride support exhibit high catalytic efficiency.18 For example, Zn-based metal oxide SACs show unique catalytic properties for converting CH4 and CO2 to acetic acid; however, efficient C–C coupling remains a challenge.19 The high surface area and stability of two-dimensional (2D) materials enable SACs@2D systems with well-defined active centres, surpassing conventional metal oxide supports20 and potentially improving C–C coupling. Herein, we designed SACs composed of transition metals (Mn, Fe, Co, and Ni) doped with Si promoters on h-BN (TM–Si@h-BN) to identify the optimal active component. Subsequently, we evaluated various 2D materials, including graphene (GR), N4-doped graphene (N4@GR), and phosphorene (P), to determine the optimal catalyst configuration. We demonstrated that Ni–Si@h-BN is a promising alternative to traditional catalysts and elucidated its activation and reaction mechanism: electron transfer from Si to Ni creates an electron-rich Ni site (Ni−2.16) and its moderate work function is favourable for electron balance, facilitating CH4 activation and CO2 adsorption.
The computed binding energy (Eb) and formation energy (Ef)21 for TM–Si@h-BN catalysts demonstrate the stability of Si and TM atoms on h-BN (Table S1). AIMD simulations of the TM–Si@h-BN catalyst structure at 500 K demonstrate its thermodynamic stability (Fig. S1a and b). Bader charge calculations (Table S1) show electron transfer from Si to transition metals, forming a
distribution. We compared the adsorption abilities of CH4 and CO2 at 500 K. Although both CH4 and CO2 exhibit relatively weak interactions with the surfaces, CH4 binds more strongly (−0.36 to 0.15 eV) than CO2 (0.22–0.65 eV) on all TM–Si@h-BN catalysts, underscoring that CH4 is preferentially activated across these materials (Fig. S1c and d). The work function (Fig. S2), reflecting the electron transfer ability of TM–Si@h-BN, controls CH4 and CO2 adsorption such that CH4 adsorption weakens with increasing work function, while CO2 adsorption strengthens (Fig. S3a).
The dissociation of CH3* at TM sites is influenced by the presence of doped Si. On Mn–Si@h-BN and Fe–Si@h-BN, the H atom is co-adsorbed with CH3* on the top site of TM, exhibiting low energy barriers of 0.27 and 0.44 eV (Fig. 1 and Table S4), respectively. On Co–Si@h-BN, H* prefers the Co–Si bridge site, with a higher barrier of 0.96 eV. On Ni–Si@h-BN, the hydrogen atom migrates to the top site of Si, incurring an energy barrier of 0.50 eV. The C–C coupling is initiated by the reaction of CH3* and gaseous CO2, forming the CH3COO* intermediate at TM sites via the E–R mechanism. Ni–Si@h-BN shows the lowest barrier for this step (0.71 eV) among the TM–Si@h-BN catalysts, and crystal Hamilton population (COHP) analysis reveals a weaker Ni–CH3 bond (integrated strength ICOHP: −1.18 eV) that facilitates CO2 insertion (Fig. S7). The hydrogenation of CH3COO* to acetic acid generally proceeds with high barriers on TM–Si@h-BN. Furthermore, the energetic span model (δE) was employed as a direct descriptor of the catalytic cycle rate.22 At 500 K, except for Mn–Si, where TS3 (CH3COO* hydrogenation) is the turnover-determining transition state (TDTS), TS2 (C–C coupling) serves as the TDTS for the other TM–Si systems, while CH3COO* + H* acts as the turnover-determining intermediate (TDI) in all cases. The corresponding δE values for each system are summarized in Table S12. Notably, Ni–Si@h-BN shows the lowest δE (1.26 eV), emphasizing its superior activity and highlighting its potential as a 2D support for further optimization.
The structural stability of Ni–Si@2D and the thermodynamic stability of Ni–Si@2D at 500 K are confirmed (Fig. S8). Bader charge analysis reveals that silicon donates electrons to transition metals on both Ni–Si@2D and TM–Si@h-BN catalysts, highlighting its general role as an electron donor (Table S5), and accounting for the stronger CH4 adsorption observed on TM–Si@2D compared to TM@2D (Table S7).
The CH4 adsorption energy on Ni–Si@2D strengthens with increasing work function, whereas the CO2 adsorption energy exhibits a volcano-shaped trend (Fig. S3b). The Ni atom in Ni–Si@2D was identified as the primary activation site for CH4 dissociation (Fig. 2 and Table S9), with Ni–Si@h-BN exhibiting the lowest barrier (0.50 eV), outperforming Ni–Si@GR, Ni–Si@P, and Ni–SiN4@GR. The Bader charge analysis of the C–C coupling step (Table S10) reveals that electrons transfer from the CH3–TM bond to CO2, facilitating C–C bond formation. Ni–Si@h-BN exhibits a barrier of 0.71 eV for C–C coupling, which is comparable to other Ni–Si@2D systems and lower than the reported E–R pathway catalysts.19 During acetic acid formation and desorption, most hydrogenation reactions proceed easily on Ni–Si@2D. For Ni–Si@2D catalysts at 500 K, the energy span is smallest on h-BN (1.26 eV), indicating its superior activity. While TS2 (C–C coupling) is the TDTS across all systems, the TDI differs: it is CH3COO* + H* on Ni–Si@h-BN whereas it is adsorbed CH4* on the others. Together with fast CH4 dissociation, facile C–C coupling, and favourable hydrogenation, Ni–Si@h-BN exhibits markedly enhanced activity compared with other reported catalysts (Table S11). By-product formation during acetic acid synthesis on Ni–Si@h-BN was also evaluated. Energetic span analysis shows that the C–C coupling pathway to CH3COO* (δE = 0.71 eV) is much more favorable than CO2 hydrogenation routes via COOH or HCOO (δE = 1.97 and 0.81 eV), indicating that C–C coupling dominates over formic acid formation (Fig. S12).
To further understand temperature effects, the energetic span was analysed at different temperatures, and the corresponding TDTS and TDI are summarized in Table S12. Ni–Si@h-BN exhibits the lowest δE across 300–900 K, reaching 1.23 eV at 600 K (Fig. S13). Based on the energetic span model, the TOFs for acetic acid formation (300–900 K, 1 bar)23 were calculated (Fig. 3), showing consistently high TOFs for Ni–Si@h-BN, with a peak at 700 K (8.02 × 10−2 s−1, log
TOF: 2.90), after which the TOFs decrease with further temperature increase. These results highlight Ni–Si@h-BN as an efficient catalyst for CH4 and CO2 conversion under moderate conditions while minimizing coke formation.24
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Fig. 3 Turnover frequencies for CH3COOH production over TM–Si@2D as a function of temperature (CH4/CO2 = 1 : 1, 1 bar). | ||
Understanding the relationship between catalytic performance and electronic properties is crucial for designing new catalysts for efficient CH4–CO2 coupling toward acetic acid. CH4 dehydrogenation on TM–Si@2D exhibits a volcano dependence on work function (Fig. 4a), with the lowest barriers with moderate values (3.3–4.0 eV) due to optimal polarization of the C–H bond. For C–C coupling (Fig. 4b), most TM–Si@2D follows a volcano-like behaviour, whereas TM–Si@h-BN shows a nearly linear decrease in barrier with increasing work function, benefiting from π back-donation that enhances CO2 adsorption and facilitates CH3* activation. In contrast, CH3COO hydrogenation follows an inverse volcano relationship to the work function (Fig. 4c), showing reduced barriers at both low and high work function values. Bader charge analysis (Fig. S14) further confirms that higher TM electron density generally is attributed to reduced barriers throughout the entire reaction process. Ni–Si@h-BN, characterized by an electron-rich Ni site (Ni−2.16) and a moderate work function (3.68 eV), exhibits the lowest barrier in the rate-determining step and thus maintains thermodynamic favourability across all three elementary steps. This results from its balanced electron donation to the substrate with optimal adsorption strength.
We elucidated the acetic acid synthesis mechanism from CO2 and CH4 and designed TM–Si@2D based on DFT calculations. Silicon incorporation enriches transition metals with electrons, generating electron-rich active sites that enhance the catalytic activity. Ni–Si@h-BN stands out among doped transition metal catalysts. Its moderate work function and high Ni electron density facilitate CH4 activation, while the
synergy enables C–C coupling through the E–R mechanism. The turnover frequency for CH4 and CO2 conversion to acetic acid reaches 8.02 × 10−2 s−1 at 700 K and 1 bar, demonstrating the reaction's feasibility under practical conditions. This advantageous electronic structure underpins its capability for efficient and selective acetic acid synthesis.
This study was supported by the National Natural Science Foundation of China (No. 22172083, 22462020), the 111 Project (D20033), Inner Mongolia Science and Technology Planning Programme (2025YFKL0002). We also acknowledge Inner Mongolia China HPC Technology Co. LTD and Kelvin2 from NI-HPC at Queen’s University Belfast for its Super-Server for the DFT calculations.
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