Next Article in Journal
Conformational Locking of the Geometry in Photoluminescent Cyclometalated N^C^N Ni(II) Complexes
Previous Article in Journal
Green Synthesis and Characterization of Fe-Ti Mixed Nanoparticles for Enhanced Lead Removal from Aqueous Solutions
Previous Article in Special Issue
The Application of 2D Graphitic Carbon Nitride (g-C3N4) and Hexagonal Boron Nitride (h-BN) in Low-Temperature Fuel Cells: Catalyst Supports, ORR Catalysts, and Membrane Fillers
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Influence of Metal Composition and Support Material on Carbon Yield and Quality in the Direct Decomposition of Methane

1
Graduate School of Energy Science and Technology, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
2
Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
3
Department of Chemical Engineering, Wonkwang University, 460 Iksan-daero, Iksan-si 54538, Republic of Korea
4
Hydrogen Department, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Republic of Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this study.
Molecules 2025, 30(9), 1903; https://doi.org/10.3390/molecules30091903
Submission received: 31 March 2025 / Revised: 21 April 2025 / Accepted: 23 April 2025 / Published: 24 April 2025
(This article belongs to the Special Issue Research on Heterogeneous Catalysis—2nd Edition)

Abstract

:
A series of catalysts were synthesized via a combination of evaporation-induced self-assembly and spray pyrolysis; they were then applied to the direct decomposition of methane. Among them, Ni-Cu/MgO catalysts exhibited the smallest Ni particle size (~9 nm), attributed to the Cu-induced suppression of Ni crystal growth during synthesis. These catalysts achieved the highest carbon yield, primarily due to the enhanced dispersion and nanoscale size of Ni particles. The interaction between methane and the catalysts, as well as the structural and electrical properties of the resulting carbon nanotubes, such as crystallinity and conductivity, were investigated with respect to the support material (MgO vs. Al2O3) and metal composition (Ni vs. Ni-Cu). The findings provide valuable insights for designing advanced catalyst systems for the efficient conversion of methane into high-value carbon-based materials.

1. Introduction

The direct decomposition of methane (DDM) is a catalytic process in which methane (CH4) is directly converted into hydrogen (H2) and solid carbon (C) without producing carbon oxides (COx). A major advantage of this method lies in its minimal greenhouse gas emissions. In contrast, conventional hydrogen production routes such as steam methane reforming and partial oxidation emit significant amounts of CO2—typically, at least 1 mole per mole of methane consumed [1,2,3,4]. Beyond hydrogen, DDM also enables the co-production of valuable carbon nanomaterials such as carbon nanotubes (CNT) with broad applications in gas storage [5], polymer reinforcement [6], and catalysis or catalyst supports [7]. However, due to the high symmetry and strong C-H bonds in methane (bond energy ~440 kJ/mol), thermal decomposition typically requires temperatures exceeding 1200 °C [8]. To lower the activation energy and enhance methane conversion, metal-based catalysts have been extensively investigated [1,9,10].
A wide range of mono- and bimetallic catalysts—including Ni, Cu, Co, Mo, Fe and their combinations (e.g., Ni-Cu, Co-Mo, Fe-Ni)—have been studied for their DDM performance [11,12,13,14,15,16,17,18,19,20,21,22]. For instance, Ni/Al2O3 catalysts with high nickel loading (40 wt.%) have achieved carbon yields as high as 15 g C/g catalyst at 600 °C due to the increased availability of active metal sites [11]. The incorporation of Cu (e.g., 5 wt.% in 50 wt.% Ni catalysts) has been shown to enhance Ni reducibility and promote carbon yields (9 g C/g at 650 °C) [18]. Similarly, adding Mo to Co/MgO catalysts has led to remarkable carbon yields (~40 g C/g), facilitated by MgMoO4 phases that improve cobalt dispersion and stabilize active sites while promoting the aromatization of hydrocarbons for CNT formation [19]. Catalyst supports also play a critical role in modulating catalyst performance. Supports such as Al2O3, SiO2, and MgO influence the electronic and structural properties of active metals through metal–support interactions [23]. For example, strong interactions between Co and Al2O3 can lead to the formation of CoAl2O4 spinel phases, which help maintain high dispersion and suppress sintering [24]. Moreover, support morphology and surface chemistry significantly affect the characteristics of carbon products, enabling the selective synthesis of structures such as vertically aligned CNT [17,25,26,27].
While many studies have focused on optimizing individual catalyst components or synthesis conditions, systematic comparisons across different compositions synthesized using a unified method are scarce. In this study, a set of catalyst formulations previously reported to exhibit high performance in DDM were synthesized using a consistent methodology—combining evaporation-induced self-assembly (EISA) with spray pyrolysis—to ensure high metal dispersion and uniform metal–support interactions. The catalytic activities of catalysts were evaluated under the optimized condition for each catalyst. Temperature-programmed surface reactions and desorption studies were conducted for a better understanding of methane activation behavior and the available active sites of the catalysts, respectively. Furthermore, the quality of the carbon products (mainly focusing on crystallinity and electron conductivity) grown from the catalytic reaction was investigated using Raman analysis and electrical conductivity measurements, revealing the influence of factors such as the metal particle size, support type (Al2O3 vs. MgO), and copper loading of the catalysts.

2. Results and Discussion

2.1. Catalyst Screening Based on Carbon Yields

The chemical compositions of the catalysts used in this study are listed in Table 1. These compositions were selected based on previous reports of high carbon yield performance in DDM [11,13,17,18,19,21]. Six candidate catalysts were synthesized via a one-pot spray pyrolysis method and initially screened under DDM conditions. Among them, Ni/Al2O3 and Ni–Cu/MgO exhibited the highest carbon weight gain and were therefore selected for further in-depth analysis.

2.2. Catalyst Physicochemical Properties

The crystalline structures of the reduced catalysts were analyzed using X-ray diffraction (XRD), as shown in Figure 1a. Diffraction peaks corresponding to Al2O3 (JCPDS 29-0063), MgO (JCPDS 45-0946), and metallic Ni (JCPDS 04-0850) were identified [28,29,30]. Both Ni/Al2O3 and Ni-Cu/MgO exhibited distinct Ni0 peaks, consistent with their high Ni content. While high metal loading can promote nanoparticle aggregation, the spray pyrolysis method effectively suppressed excessive sintering, leading to well-dispersed particles. The average Ni crystallite sizes, estimated via the Scherrer equation using the Ni0 (100) reflection at 44.5°, were 15.6 nm for Ni/Al2O3 and 9.0 nm for Ni-Cu/MgO (Table 2). According to previous reports using the same chemical compositions as in our catalyst preparation, the Ni particle size was 24 nm for the Ni/Al2O3 catalyst and 59 nm for the Ni-Cu/MgO catalyst [11,18]. The smaller particle size in the Cu-doped catalyst is attributed to the Cu-induced disruption of Ni diffusion during synthesis, suppressing growth and enhancing dispersion [31,32].
H2-temperature-programmed reduction (H2-TPR) profiles (Figure 1b) revealed the reducibility characteristics of the catalysts. Ni/Al2O3 exhibited two major reduction regions: bulk NiO reduction (350–650 °C) and Ni-aluminate reduction (>650 °C), indicating strong metal–support interactions [33]. In contrast, Ni-Cu/MgO showed multiple peaks at 245, 482, and 671 °C. While Ni reduction on MgO typically occurs above 650 °C [34], the addition of Cu induced a shift to lower temperature (482 °C) via the hydrogen spillover effect, which enhances H2 dissociation and accelerates Ni reduction [18]. This promoted reducibility correlates with the smaller Ni crystallites observed via XRD.
The porosity and surface area of the catalysts were evaluated using N2 adsorption-desorption (Figure 2). Ni/Al2O3 displayed an H5-type isotherm, characteristic of blocked mesopores, whereas Ni-Cu/MgO exhibited an H3-type isotherm, suggesting slit-shaped pores or plate-like structures [35]. Both catalysts showed mesoporosity, with pore sizes mainly between 5–20 nm and surface areas ranging from 80–90 m2/g after reduction (Table 3), indicating that the porous structures were preserved post-calcination.
The surface basicity of the pre-reduced catalysts was investigated using the temperature-programmed desorption of CO2 (CO2-TPD), and the results are shown in Figure 3. The desorption profile of the Ni/Al2O3 catalyst (Figure 3a) exhibited a weak low-temperature peak centered at 161 °C, which can be attributed to physiosorbed CO2 or weak basic sites associated with surface hydroxyl groups on Al2O3 [36]. In contrast, the Ni-Cu/MgO catalyst showed a desorption peak centered at 227 °C, corresponding to moderate basic sites [37]. This peak is assigned to chemisorbed carbonate species formed via the interaction of CO2 with surface O2− anions on MgO. The total amount of CO2 adsorbed was significantly higher for Ni-Cu/MgO (43.2 μmol/gcat) than for Ni/Al2O3 (5.2 μmol/gcat), indicating a much higher density of basic sites. The strong basicity of the support MgO can enhance the dispersion and stabilization of metal nanoparticles [38].

2.3. Catalytic Activity in DDM

The carbon growth performance under DDM conditions is shown in Figure 4. The DDM experiments were conducted for various reaction times under the optimum temperature conditions for each catalyst (650 °C for Ni-Cu/MgO and 600 °C for Ni/Al2O3), as determined in previous studies. Additionally, to enable a comparison with Ni-Cu/MgO under identical temperature conditions, the Ni/Al2O3 catalyst was tested at 650 °C for three hours. Since this temperature is not optimal for Ni/Al2O3, a significantly lower carbon yield was observed. When both Ni/Al2O3 and Ni-Cu/MgO were operated at their respective optimum temperatures, rapid carbon accumulation occurred in the early stages of the reaction (Figure 4a), with yields approaching near saturation within one hour. The final carbon yields were ~9 g/gcat for Ni/Al2O3 and ~16 g/gcat for Ni-Cu/MgO. Compared to previously reported values for similar compositions [11,18], the catalysts prepared in this study achieved higher carbon yields (Figure 4b), likely due to enhanced metal dispersion and the reduced Ni particle size enabled by the spray pyrolysis synthesis.
To examine CH4 activation behavior, CH4-temperature-programmed surface reaction (CH4-TPSR) experiments were performed (Figure 5a,b). CH4 conversion and H2 evolution occurred at 618 °C (Ni/Al2O3) and 651 °C (Ni-Cu/MgO). The higher activation temperature observed for Ni-Cu/MgO may result from Cu’s intrinsic inactivity toward CH4 decomposition, which shifts the CH4 dissociation to a higher temperature range. This trend aligns with previous reports produced by Wang et al. [22], who observed that the addition of Cu increases the CH4 decomposition temperature but enhances carbon yields via improved dispersion and alloy formation. In other studies, the incorporation of copper into Ni-based catalysts changed the catalyst particle morphology from cuboctahedral to quasi-octahedral, promoting filamentous carbon growth and thereby enhancing the carbon yield [14].
CH4-temperature-programmed desorption (CH4-TPD) analysis (Figure 5c) was used to examine active site availability. Only H2 was detected, indicating the full dissociation of CH4 without the desorption of intact molecules. The CH4 uptake, inferred from the H2 evolution, was 12.5 nmol/gcat for Ni/Al2O3 and 8.7 nmol/gcat for Ni-Cu/MgO. Despite the lower CH4 uptake, Ni-Cu/MgO achieved a higher carbon yield, which can be attributed to more efficient carbon precipitation pathways [22]. However, the actual carbon yield is influenced not only by CH4 adsorption but also the surface properties of active sites that can dissociate CH4 and facilitate carbon precipitation. The H2 evolution in Ni/Al2O3 was initiated at lower temperatures (300–500 °C), while Ni-Cu/MgO exhibited broader H2 release over a range. This suggests differing C–H bond activation mechanisms, potentially due to the bimetallic nature of Ni-Cu/MgO [39]. Furthermore, basic sites—particularly O2⁻ species on MgO supports from Ni-Cu/MgO—can interact with hydrogen atoms from CH4, thereby promoting C-H bond cleavage. This interaction facilitates CH4 activation over a broader or even lower temperature range, especially when combined with active metal sites such as Ni [40]. These results highlight the critical role of particle dispersion and composition in catalytic performance. The morphology of carbon deposits was analyzed using TEM (Figure 6). Metal nanoparticles were scarcely observed on the tip of CNT in both catalysts. Specifically, the Ni-Cu/MgO catalyst did not exhibit any noticeable Ni particles at the CNT tips, and the Ni/Al2O3 catalyst showed only very rare occurrences of metal particles. This implies a base-growth mechanism in which CNT grows upwards while the catalyst remains anchored on the support [41]. This mode of growth provides catalyst stability and enables continuous CNT formation.

2.4. Characterization of CNT

The average diameters of CNT, measured from TEM images (Figure 6b,f), ranged from 30 to 40 nm for both Ni/Al2O3- and Ni-Cu/MgO-derived samples. Longer CNTs were observed in the Ni/Al2O3-derived samples. As discussed earlier, the Ni-Cu/MgO catalyst exhibited a smaller Ni grain size than that of the Ni/Al2O3 catalyst. However, the CNTs synthesized using Ni/Al2O3 exhibited smaller diameters. Although many previous studies have suggested a correlation between catalyst particle size and CNT diameter [42,43], such a correlation was not observed in the present study. Moodley et al. reported that the relationship between particle size and CNT diameter is not always consistent during CNT synthesis, as particle rearrangements such as coalescence and redispersion can occur under reaction conditions [44,45].
To evaluate the properties and purity of CNTs, catalysts after reactions were acid-treated and analyzed via thermogravimetric analysis (TGA) (Figure 7). For Ni-Cu/MgO, only less than 2.2 wt% of residue was left after full oxidation, indicating effective impurity removal and high CNT purity. This is attributed to the use of MgO as a support, which can be easily removed through a mild acid treatment without damaging the carbon structure. In contrast, Al2O3 is more chemically inert and difficult to dissolve, even in strong acids. The removal of Al2O3 often requires harsh conditions that can negatively affect the CNTs. Therefore, MgO is often preferred as a support in carbon synthesis [46].
Raman spectra of purified CNTs (Figure 8a,b) displayed prominent D and G bands at 1340 and 1583 cm1, respectively. The intensity ratio (ID/IG), reflecting the degree of graphitization [47], was 1.25 for the Ni/Al2O3-derived CNTs and 1.63 for those from Ni-Cu/MgO, suggesting higher crystallinity in the former. CNTs with higher crystallinity typically exhibit enhanced electrical conductivity, mechanical strength, and thermal stability, making them more suitable for application [10]. The existence of less ordered CNTs may be due to uneven carbon diffusion on the Ni-Cu surface [48]. The varying carbon solubility in the Cu segregation areas has been reported to promote non-uniform graphitic growth and lower crystallinity.
The electrical conductivity of CNTs is important due to its direct impact on their electrical performance in various applications, including electronics, sensors, energy storage devices, and conductive composites. Electrical resistivity measurements (Figure 8c) showed that CNTs from Ni/Al2O3 exhibited lower resistivity than those from Ni-Cu/MgO. This is attributed to their higher crystallinity, which facilitates charge transport by minimizing defects and forming continuous, well-connected conductive networks [49,50,51]. The longer CNTs observed in Ni/Al2O3 samples also contribute to improved conductivity by reducing inter-tube resistance. These findings suggest that the choice of catalyst and support strongly influences the physical and electrical characteristics of CNTs. Catalysts that promote the formation of long, well-graphitized CNTs are therefore more favorable for applications requiring high electrical conductivity (Table 4).

3. Materials and Methods

3.1. Materials

The following metal precursors were used as received, without further purification: nickel nitrate hexahydrate (Ni(NO3)2·6H2O, ≥98%, Samchun, Republic of Korea), aluminum nitrate nonahydrate (Al(NO3)3·9H2O, ≥98%, Samchun, Republic of Korea), copper nitrate trihydrate (Cu(NO3)2·3H2O, ≥98%, Sigma-Aldrich, St. Louis, MO, USA), magnesium nitrate hexahydrate (Mg(NO3)2·6H2O, ≥98%, Sigma-Aldrich, St. Louis, MO, USA), cobalt nitrate hexahydrate (Co(NO3)2·6H2O, Extra pure, Samchun, Republic of Korea), iron nitrate nonahydrate (Fe(NO3)3·9H2O, Extra pure, Samchun, Republic of Korea), and ammonium molybdate ((NH4)6Mo7O24·4H2O, ≥99.98%, Sigma-Aldrich, St. Louis, MO, USA). Tetraethyl orthosilicate (TEOS, (C2H5O)4Si, >97.0%, Sigma-Aldrich, St. Louis, MO, USA) was used as a silica source. Pluronic P123 (EO20PO70EO20, MW = 5800 g/mol, Sigma-Aldrich, St. Louis, MO, USA) served as a structure-directing agent. Nitric acid (HNO3, ≥60%, Samchun, Republic of Korea) and anhydrous ethanol (C2H5OH, ≥99.9%, Samchun, Republic of Korea) were used as solvents.

3.2. Catalyst Preparation

Catalysts including Ni/SiO2 [21], Co-Mo/MgO [19], Ni-Cu/MgO [18], Fe/Al2O3 [17], Ni/Al2O3 [11], and Ni/MgO [13] were synthesized using a spray pyrolysis-assisted one-pot EISA method. First, 15 g of P123 was dissolved in a solution containing 460 mL of deionized water, 500 mL of ethanol, and 40 g of HNO3. Stoichiometric amounts of metal precursors were then added to this solution as follows:
Ni/SiO2: 2.477 g of Ni(NO3)2·6H2O, 31.208 g of TEOS
Co-Mo/MgO: 1.315 g of Co(NO3)2·6H2O, 3.190 g of (NH4)6Mo7O24·4H2O, 50.894 g of Mg(NO3)2·6H2O
Ni-Cu/MgO: 24.772 g of Ni(NO3)2·6H2O, 1.901 g of Cu(NO3)2·3H2O, 28.628 g of Mg(NO3)2·6H2O
Fe/Al2O3: 20.980 g of Fe(NO3)3·9H2O, 52.244 g of Al(NO3)3·9H2O
Ni-Al2O3: 19.818 g of Ni(NO3)2·6H2O, 44.150 g of Al(NO3)3·9H2O
Ni-MgO: 36.036 g of Ni(NO3)2·6H2O, 30.893 g of Mg(NO3)2·6H2O
The precursor solution was aerosolized using a 1.7 MHz ultrasonic nebulizer equipped with six piezoelectric vibrators, and the mist was carried into a quartz tube reactor maintained at 700 °C by a 10 L·min−1 flow of N2 gas. The resulting particles were collected via a bag filter heated at 100–130 °C. Calcination was carried out in air conditions at the following temperatures for each catalyst as indicated in each reference: 400 °C for Ni/SiO2, 800 °C for Co-Mo/MgO, 500 °C for Ni-Cu/MgO, 750 °C for Fe/Al2O3, 800 °C for Ni- Al2O3, 500 °C for Ni-MgO.

3.3. Catalytic Reaction

Catalytic DDM was conducted in a horizontal tube furnace using a three-inch internal diameter quartz tube. Catalysts were uniformly spread in ceramic boats and placed at the center of the tube. Prior to the reaction, the system was purged with 200 mL·min−1 of N2 for 15 min. Each catalyst was subjected to reduction and reaction treatments at the respective temperatures reported in the corresponding references, as summarized below: Ni/SiO2 (reduction at 400 °C/reaction at 550 °C), Co-Mo/MgO (800 °C/700 °C), Ni-Cu/MgO (550 °C/650 °C), Fe/Al2O3 (700 °C/700 °C), Ni-Al2O3 (800 °C/600 °C), and Ni-MgO (500 °C/670 °C).
The reduction step was performed for 2 h under 4% H2 in Ar at a flow rate of 400 mL·min−1. After reduction, the reactor was purged with 400 mL·min−1 of N2 for 1 h during ramping to the reaction temperature. During the reaction, CH4 and N2 were introduced at 200 mL·min−1 each. Reactions were conducted for durations ranging from 0.25 to 5 h.

3.4. Acid Treatment for the Purification of CNT

After the reaction, catalysts reacted for 3 h were ground to fine powders. For the acid treatment, 100 mg of the sample was treated in 50 mL of 1 M HCl at 70 °C with vigorous stirring for 5 h. The resulting suspension was washed via repeated centrifugation with DI water until the pH reached 7.0. The purified CNTs were dried in oven at 80 °C overnight and then collected.

3.5. Catalyst Characterization

Catalyst characterization was carried out using a combination of physicochemical and spectroscopic techniques. The specific surface area and pore size distribution were analyzed using the Brunauer–Emmett–Teller (BET) and the Barrett–Joymer–Halenda BJH methods, respectively, using a BELSORP-mini (MicrotracBEL, Osaka, Japan). In brief, 50 mg of each sample was introduced in the dedicated cell and analyzed after degassing at 300 °C for 2 h under vacuum. Crystalline phases were identified by X-ray diffraction (XRD) using a SmartLab 9 kW diffractometer (RIGAKU, Tokyo, Japan) with Cu Kα radiation, scanning the 2θ range from 10° to 90° at a rate of 1°/min. H2-TPR, CH4-TPD, CO2-TPD, and CH4-TPSR were performed using a BELCAT II (MicrotracBEL, Japan). Then, 100 mg of each sample was located between 100 mg of quartz wool in the dedicated cell. The prepared cell was inserted into the equipment, and this was followed by pretreatment and analysis. Hydrogen-temperature-programmed reduction (H2-TPR) was conducted over a temperature range of 50–1000 °C under 20% H2 in Ar (10 °C·min−1), following a pre-treatment at 250 °C for 2 h. To estimate the number of active sites, CH4-temperature programmed desorption (CH4-TPD) was performed after CH4 adsorption at 50 °C for 30 min, followed by heating to 800 °C under Ar at 5 °C·min−1. CO2-temperature programmed desorption (CO2-TPD) was carried out after CO2 adsorption at 50 °C for 60 min, then heated to 1000 °C under an argon flow at a rate of 10 °C·min−1. A methane-temperature-programmed surface reaction (CH4-TPSR) was carried out on 10 mg of catalyst loaded with quartz wool, with a heating ramp of 5 °C·min−1 up to 800 °C under a flow of 20 sccm CH4 and 20 sccm Ar, following pre-treatment at 250 °C under Ar condition. Thermogravimetric analysis (TGA) in air was employed to quantify the carbon content in both the spent and acid-purified catalysts. Raman spectroscopy of the purified CNTs was performed using a LabRam Soleil system (Horiba, Longjumeau, France), and their electrical resistivity was measured using an HPRM-FA2 unit (HANTECH, Gimhae-Si, Republic of Korea). Morphological observations of the catalysts and CNTs were conducted via transmission electron microscopy (TEM) using a Tecnai G2 F30 instrument (FEI, Hillsboro, OR, USA).

4. Conclusions

This study evaluated the productivity and the quality of CNTs grown from a series of catalysts formulated based on previously reported compositions known for high carbon production in the DDM reaction. All catalysts were synthesized using a unified approach that combined EISA with spray pyrolysis, allowing for systematic comparisons across different formulations. The enhanced carbon yield observed for the Ni-Cu/MgO catalyst was primarily attributed to the formation of smaller Ni nanoparticles, enabled by the addition of Cu, which disrupted Ni crystallization and growth during synthesis. Furthermore, the basic nature of the MgO support contributed to improved metal dispersion, even at high Ni loading (45 wt%). However, the characterization of the resulting CNTs revealed that those produced from Ni-Cu/MgO exhibited lower crystallinity and electrical conductivity compared to CNTs derived from the Ni/Al2O3 catalyst. These findings underscore the importance of balancing carbon yields and carbon quality, offering valuable guidance for the design of supported metal catalysts for methane conversion to value-added carbon materials.

Author Contributions

Conceptualization, B.-J.K.; Methodology, U.J. and Y.G.; Formal analysis, U.J. and H.L.; Investigation, U.J., B.-J.K., M.K. and I.-J.J.; Data curation, B.-J.K., D.-H.K. and J.-O.S.; Writing—original draft, B.-J.K. and K.L.; Writing—review & editing, K.L.; Supervision, K.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry and Energy (MOTIE) of the Republic of Korea (RS-2024-00404073). This research was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government (MOTIE) (20214000000090, fostering human resources training in advanced hydrogen energy industry).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author(s).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ashik, U.P.M.; Wan Daud, W.M.A.; Abbas, H.F. Production of greenhouse gas free hydrogen by thermocatalytic decomposition of methane—A review. Renew. Sustain. Energy Rev. 2015, 44, 221–256. [Google Scholar] [CrossRef]
  2. Kim, D.H.; Youn, J.R.; Seo, J.C.; Kim, S.B.; Kim, M.J.; Lee, K. One-pot synthesis of NiCo/MgAl2O4 catalyst for high coke-resistance in steam methane reforming: Optimization of Ni/Co ratio. Catal. Today 2023, 411, 113910. [Google Scholar] [CrossRef]
  3. Kim, H.; Eissa, A.A.S.; Kim, S.B.; Lee, H.; Kim, W.; Seo, D.j.; Lee, K.; Yoon, W. One-pot synthesis of a highly mesoporous Ni/MgAl2O4 spinel catalyst for efficient steam methane reforming: Influence of inert annealing. Catal. Sci. Technol. 2021, 11, 4447–4458. [Google Scholar] [CrossRef]
  4. Zhang, T.; Amiridis, M.D. Hydrogen production via the direct cracking of methane over silica-supported nickel catalysts. Appl. Catal. A Gen. 1998, 167, 161–172. [Google Scholar] [CrossRef]
  5. Oku, T. Hydrogen storage in boron nitride and carbon nanomaterials. Energies 2015, 8, 319–337. [Google Scholar] [CrossRef]
  6. Wu, Z.; Wang, Y.; Liu, X.; Lu, C.; Li, Y.; Wei, D.; Liu, Z. Carbon-nanomaterial-based flexible batteries for wearable electronics. Adv. Mater. 2019, 31, 1800716. [Google Scholar] [CrossRef]
  7. Trogadas, P.; Fuller, T.F.; Strasser, P. Carbon as catalyst and support for electrochemical energy conversion. Carbon 2014, 75, 5–42. [Google Scholar] [CrossRef]
  8. Ali, M.; Ngo, S.I.; Lim, Y.I.; An, S.; Lee, Y.J.; Lee, U.D. Experiment and simulation of non-catalytic thermal decomposition of CH4 for CO2-free hydrogen production in a vertical tube. Int. J. Hydrogen Energy 2024, 63, 580–595. [Google Scholar] [CrossRef]
  9. Msheik, M.; Rodat, S.; Abanades, S. Methane cracking for hydrogen production: A review of catalytic and molten media pyrolysis. Energies 2021, 14, 3107. [Google Scholar] [CrossRef]
  10. Abbas, H.F.; Wan Daud, W.M.A. Hydrogen production by methane decomposition: A review. Int. J. Hydrogen Energy 2010, 35, 1160–1190. [Google Scholar] [CrossRef]
  11. Makris, T.D.; Giorgi, L.; Giorgi, R.; Lisi, N.; Salernitano, E. CNT growth on alumina supported nickel catalyst by thermal CVD. Diam. Relat. Mater. 2005, 14, 815–819. [Google Scholar] [CrossRef]
  12. Ammendola, P.; Chirone, R.; Lisi, L.; Ruoppolo, G.; Russo, G. Copper catalysts for H2 production via CH4 decomposition. J. Mol. Catal. A Chem. 2007, 266, 31–39. [Google Scholar] [CrossRef]
  13. Chen, C.M.; Dai, Y.M.; Huang, J.G.; Jehng, J.M. Intermetallic catalyst for carbon nanotubes (CNTs) growth by thermal chemical vapor deposition method. Carbon 2006, 44, 1808–1820. [Google Scholar] [CrossRef]
  14. Reshetenko, T.V.; Avdeeva, L.B.; Ismagilov, Z.R.; Chuvilin, A.L.; Ushakov, V.A. Carbon capacious Ni-Cu-Al2O3 catalysts for high-temperature methane decomposition. Appl. Catal. A Gen. 2003, 247, 51–63. [Google Scholar] [CrossRef]
  15. Zhang, Y.; Smith, K.J. CH4 decomposition on Co catalysts: Effect of temperature, dispersion, and the presence of H2 or CO in the feed. Catal. Today 2002, 77, 257–268. [Google Scholar] [CrossRef]
  16. Solymosi, F.; Cserényi, J.; Szöke, A.; Bánsági, T.; Oszkó, A. Aromatization of methane over supported and unsupported Mo-based catalysts. J. Catal. 1997, 165, 150–161. [Google Scholar] [CrossRef]
  17. Wu, S.L.; Chen, C.M.; Kuo, J.H.; Wey, M.Y. Synthesis of carbon nanotubes with controllable diameter by chemical vapor deposition of methane using Fe@Al2O3 core–shell nanocomposites. Chem. Eng. Sci. 2020, 217, 115541. [Google Scholar] [CrossRef]
  18. Yang, W.; Feng, Y.; Chu, W. Catalytic chemical vapor deposition of methane to carbon nanotubes: Copper promoted effect of Ni/MgO catalysts. J. Nanotechnol. 2014, 2014, 547030. [Google Scholar] [CrossRef]
  19. Pérez-Mendoza, M.; Vallés, C.; Maser, W.K.; Martínez, M.T.; Benito, A.M. Influence of molybdenum on the chemical vapour deposition production of carbon nanotubes. Nanotechnology 2005, 16, 550–556. [Google Scholar] [CrossRef]
  20. Reshetenko, T.V.; Avdeeva, L.B.; Khassin, A.A.; Kustova, G.N.; Ushakov, V.A.; Moroz, E.M.; Shmakov, N.; Kriventsov, V.V.; Kochubey, D.I.; Pavlyukhin, Y.T.; et al. Coprecipitated iron-containing catalysts (Fe-Al2O3, Fe-Co-Al2O3, Fe-Ni-Al2O3) for methane decomposition at moderate temperatures I. Genesis of calcined and reduced catalysts. Appl. Catal. A Gen. 2004, 268, 127–138. [Google Scholar] [CrossRef]
  21. Choi, J.B.; Im, J.S.; Kang, S.C.; Lee, Y.S.; Lee, C.W. Effect of metal–support interaction in Ni/SiO2 catalysts on the growth of carbon nanotubes by methane decomposition. Carbon Lett. 2023, 33, 477–488. [Google Scholar] [CrossRef]
  22. Wang, H.Y.; Lua, A.C. Methane decomposition using Ni-Cu alloy nanoparticle catalysts and catalyst deactivation studies. Chem. Eng. J. 2015, 262, 1077–1089. [Google Scholar] [CrossRef]
  23. Li, Y.; Li, D.; Wang, G. Methane decomposition to COx-free hydrogen and nano-carbon material on group 8–10 base metal catalysts: A review. Catal. Today 2011, 162, 1–48. [Google Scholar] [CrossRef]
  24. Chai, S.P.; Zein, S.H.S.; Mohamed, A.R. The effect of reduction temperature on Co-Mo/Al2O3 catalysts for carbon nanotubes formation. Appl. Catal. A Gen. 2007, 326, 173–179. [Google Scholar] [CrossRef]
  25. Park, S.J.; Kim, K.D.; Park, Y.S.; Go, K.S.; Kim, W.; Lim, M.; Nho, N.S.; Lee, D.H. Effect of reduction conditions of Mo-Fe/MgO on the formation of carbon nanotube in catalytic methane decomposition. J. Ind. Eng. Chem. 2022, 109, 384–396. [Google Scholar] [CrossRef]
  26. Magrez, A.; Smajda, R.; Seo, J.W.; Horváth, E.; Ribic, P.R.; Andresen, J.C.; Acquaviva, D.; Olariu, A.; Laurenczy, G.; Forró, L. Striking influence of the catalyst support and its acid–base properties: New insight into the growth mechanism of carbon nanotubes. ACS Nano 2011, 5, 3428–3437. [Google Scholar] [CrossRef]
  27. Hoque, A.; Nawarathne, C.P.; Alvarez, N.T. Vertically aligned carbon nanotubes from premade binary metal oxide nanoparticles on bare SiO2. Carbon 2025, 235, 120086. [Google Scholar] [CrossRef]
  28. Kim, Y.J.; Kim, M.J.; Kim, D.H.; Mnoyan, A.; Lee, K. Enhanced methane dry reforming with Ni/SiO2 catalysts featuring hierarchical external nanostructures. Catalysts 2024, 14, 265. [Google Scholar] [CrossRef]
  29. Kim, M.J.; Kim, J.; Kim, Y.J.; Kim, J.; Youn, J.R.; Kim, D.H.; Shapiro, D.; Guo, J.; Lee, K. Surface control of Ni–Al2O3 dry reforming of methane catalyst by composition segregation. J. CO2 Util. 2024, 81, 102721. [Google Scholar] [CrossRef]
  30. Somanathan, T.; Krishna, V.M.; Saravanan, V.; Kumar, R.; Kumar, R. MgO nanoparticles for effective uptake and release of doxorubicin drug: pH sensitive controlled drug release. J. Nanosci. Nanotechnol. 2016, 16, 9421–9431. [Google Scholar] [CrossRef]
  31. Zhang, C.; Niu, J.; Guo, B.; Liu, H.; Jin, Y.; Ran, J. Effect of Cu doping on Ni surface on CO formation pathways during the methane dry reforming reaction. Mol. Catal. 2024, 560, 114125. [Google Scholar] [CrossRef]
  32. Dai, Y.M.; Lu, C.Y.; Chang, C.J. Catalytic activity of mesoporous Ni/CNT, Ni/SBA-15 and (Cu, Ca, Mg, Mn, Co)-Ni/SBA-15 catalysts for CO2 reforming of CH4. RSC Adv. 2016, 6, 73887–73896. [Google Scholar] [CrossRef]
  33. Choya, A.; de Rivas, B.; No, M.L.; Gutiérrez-Ortiz, J.I.; López-Fonseca, R. Dry reforming of methane over sub-stoichiometric NiAl2O4-mediated Ni/Al2O3 catalysts. Fuel 2024, 358, 130166. [Google Scholar] [CrossRef]
  34. Tan, M.; Wang, X.; Hu, Y.; Shang, X.; Zhang, L.; Zou, X.; Dinga, W.; Lu, X. Influence of nickel content on structural and surface properties, reducibility and catalytic behavior of mesoporous γ-alumina-supported Ni–Mg oxides for pre-reforming of liquefied petroleum gas. Catal. Sci. Technol. 2016, 6, 3049–3063. [Google Scholar] [CrossRef]
  35. Melgunov, M.S. Application of the simple Bayesian classifier for the N2 (77 K) adsorption/desorption hysteresis loop recognition. Adsorption 2023, 29, 199–208. [Google Scholar] [CrossRef]
  36. Schreiter, N.; Kirchner, J.; Kureti, S. A DRIFTS and TPD study on the methanation of CO2 on Ni/Al2O3 catalyst. Catal. Commun. 2020, 140, 105988. [Google Scholar] [CrossRef]
  37. Ahmad, M. Tailored Ni-MgO catalysts: Unveiling temperature-driven synergy in CH4-CO2 reforming. Catalysts 2023, 14, 33. [Google Scholar] [CrossRef]
  38. Vandevyvere, T.; Sabbe, M.K.; Thybaut, J.W.; Lauwaert, J. Enhancing stability of γ-Al2O3-supported NiCu catalysts by impregnating basic oxides in the hydrodeoxygenation of anisole. Catalysts 2024, 14, 166. [Google Scholar] [CrossRef]
  39. Wang, Y.; Hu, P.; Yang, J.; Zhu, Y.A.; Chen, D. C–H bond activation in light alkanes: A theoretical perspective. Chem. Soc. Rev. 2021, 50, 4299–4358. [Google Scholar] [CrossRef]
  40. Caravaggio, G.; Nossova, L.; Turnbull, M.J. Nickel–magnesium mixed oxide catalyst for low temperature methane oxidation. Chem. Eng. J. 2021, 405, 126862. [Google Scholar] [CrossRef]
  41. Dijon, J.; Szkutnik, P.D.; Fournier, A.; Monsabert, T.G.; Okuno, H.; Quesnel, E.; Muffato, V.; Vito, E.; Bendiab, N.; Bogner, A.; et al. How to switch from a tip to base growth mechanism in carbon nanotube growth by catalytic chemical vapour deposition. Carbon 2010, 48, 3953–3963. [Google Scholar] [CrossRef]
  42. Shen, J.; Olfert, J.; Abbasi-Atibeh, E.; Semagina, N. The effect of catalyst particle size and temperature on CNT growth on supported Fe catalysts during methane pyrolysis. Catal. Today 2025, 453, 115275. [Google Scholar] [CrossRef]
  43. Jodin, L.; Dupuis, A.C.; Rouvière, E.; Reiss, P. Influence of the catalyst type on the growth of carbon nanotubes via methane chemical vapor deposition. J. Phys. Chem. B 2006, 110, 7328–7333. [Google Scholar] [CrossRef] [PubMed]
  44. Moodley, P.; Loos, J.; Niemantsverdriet, J.W.; Thüne, P.C. Is there a correlation between catalyst particle size and CNT diameter? Carbon 2009, 47, 2002–2013. [Google Scholar] [CrossRef]
  45. Allaedini, G.; Aminayi, P.; Tasirin, S.M. Methane decomposition for carbon nanotube production: Optimization of the reaction parameters using response surface methodology. Chem. Eng. Res. Des. 2016, 112, 163–174. [Google Scholar] [CrossRef]
  46. Santhosh, C.; Saranya, M.; Felix, S.; Ramachandran, R.; Pradeep, N.; Uma, V.; Grace, A.N. Growth of carbon nanotubes using MgO supported Mo–Co catalysts by thermal chemical vapor deposition technique. J. Nano Res. 2013, 24, 46–57. [Google Scholar] [CrossRef]
  47. Li, Y.; Zhang, B.; Xie, X.; Liu, J.; Xu, Y.; Shen, W. Novel Ni catalysts for methane decomposition to hydrogen and carbon nanofibers. J. Catal. 2006, 238, 412–424. [Google Scholar] [CrossRef]
  48. Al-Hilfi, S.H.; Kinloch, I.A.; Derby, B. Chemical vapor deposition of graphene on Cu–Ni alloys: The impact of carbon solubility. Coatings 2021, 11, 892. [Google Scholar] [CrossRef]
  49. Maheswaran, R.; Shanmugavel, B.P. A critical review of the role of carbon nanotubes in the progress of next-generation electronic applications. J. Electron. Mater. 2022, 51, 2786–2800. [Google Scholar] [CrossRef]
  50. Flygare, M.; Svensson, K. Influence of crystallinity on the electrical conductivity of individual carbon nanotubes. Carb. Trends 2021, 5, 100125. [Google Scholar] [CrossRef]
  51. Deng, J.; Liu, C.; Song, D.; Madou, M. Fabrication of crystalline submicro-to-nano carbon wire for achieving high current density and ultrastable current. Microsyst. Nanoeng. 2022, 8, 15. [Google Scholar] [CrossRef] [PubMed]
Figure 1. (a) XRD patterns of reduced catalysts and (b) H2-TPR profiles of calcined catalysts.
Figure 1. (a) XRD patterns of reduced catalysts and (b) H2-TPR profiles of calcined catalysts.
Molecules 30 01903 g001
Figure 2. (a) Nitrogen adsorption–desorption isotherms, and (b) BJH pore size distributions of the reduced catalysts.
Figure 2. (a) Nitrogen adsorption–desorption isotherms, and (b) BJH pore size distributions of the reduced catalysts.
Molecules 30 01903 g002
Figure 3. CO2-TPD profiles of (a) Ni/Al2O3 and (b) Ni-Cu/MgO catalysts.
Figure 3. CO2-TPD profiles of (a) Ni/Al2O3 and (b) Ni-Cu/MgO catalysts.
Molecules 30 01903 g003
Figure 4. Carbon production over catalysts. (a) Carbon weight gain as a function of reaction time and (b) hourly carbon weight ratio as a function of reaction time. DDM reaction conditions: 50% CH4/N2, GHSV = 120 L·gcat·h−1, catalyst loading = 0.2 g.
Figure 4. Carbon production over catalysts. (a) Carbon weight gain as a function of reaction time and (b) hourly carbon weight ratio as a function of reaction time. DDM reaction conditions: 50% CH4/N2, GHSV = 120 L·gcat·h−1, catalyst loading = 0.2 g.
Molecules 30 01903 g004
Figure 5. CH4-TPSR MS profiles of (a) Ni/Al2O3 and (b) Ni-Cu/MgO catalysts. CH4-TPSR condition = 50% CH4/N2, GHSV = 240 L·gcat·h−1, catalyst loading = 0.01 g. (c) CH4-TPD MS profiles of two catalysts.
Figure 5. CH4-TPSR MS profiles of (a) Ni/Al2O3 and (b) Ni-Cu/MgO catalysts. CH4-TPSR condition = 50% CH4/N2, GHSV = 240 L·gcat·h−1, catalyst loading = 0.01 g. (c) CH4-TPD MS profiles of two catalysts.
Molecules 30 01903 g005
Figure 6. TEM images and CNT diameter distribution for the used catalysts. (ad) TEM images of Ni/Al2O3 and (eh) Ni-Cu/MgO catalysts. The CNT diameter distribution was determined based on 30 measured counts.
Figure 6. TEM images and CNT diameter distribution for the used catalysts. (ad) TEM images of Ni/Al2O3 and (eh) Ni-Cu/MgO catalysts. The CNT diameter distribution was determined based on 30 measured counts.
Molecules 30 01903 g006
Figure 7. TGA analysis of the used catalysts and purified CNTs after acid treatment: (a) Ni/Al2O3 and (b) Ni-Cu/MgO.
Figure 7. TGA analysis of the used catalysts and purified CNTs after acid treatment: (a) Ni/Al2O3 and (b) Ni-Cu/MgO.
Molecules 30 01903 g007
Figure 8. Raman spectra of purified CNT. (a) Raman spectra of CNT grown from Ni/Al2O3 and (b) Ni-Cu/MgO catalysts. (c) Powder resistivity analysis of CNT.
Figure 8. Raman spectra of purified CNT. (a) Raman spectra of CNT grown from Ni/Al2O3 and (b) Ni-Cu/MgO catalysts. (c) Powder resistivity analysis of CNT.
Molecules 30 01903 g008
Table 1. Chemical composition of catalysts and their carbon yields from the DDM reaction.
Table 1. Chemical composition of catalysts and their carbon yields from the DDM reaction.
CatalystsContents (wt%)Reaction Time (h)Carbon Yield
(g·gcat−1·h−1)
Ni/Al2O3Ni (40), Al2O3 (60)33.13
Ni-Cu/MgONi (50), Cu (5), MgO (45) 35.37
Co-Mo/MgOCo (3), Mo (17), MgO (80)30.31
Ni/SiO2Ni (10), SiO2 (90)30
Fe/Al2O3Fe (29), Al2O3 (71)30.26
Ni/MgONi (71), MgO (29)30.12
Table 2. Metal crystallite size of reduced catalysts.
Table 2. Metal crystallite size of reduced catalysts.
CatalystsCrystallite Size (nm)
Ni/Al2O315.64
Ni-Cu/MgO9.04
Table 3. BET specific surface area (S.S.A.), total pore volume (T.P.V.) and BJH mean pore diameter (M.P.D).
Table 3. BET specific surface area (S.S.A.), total pore volume (T.P.V.) and BJH mean pore diameter (M.P.D).
CatalystsS.S.A. (m2 gcat−1)T.P.V. (cm3 gcat−1)M.P.D. (nm)
Ni/Al2O385.530.3416.01
Ni-Cu/MgO87.030.3013.86
Table 4. Comparison of key performance metrics of catalysts.
Table 4. Comparison of key performance metrics of catalysts.
CatalystsCNT Yield at 1 h Reaction
(g·gcat−1) a
CNT Diameter
(nm) b
CNT Crystallinity
(ID/IG) c
CNT Resistivity at 1 g/cc Density
(Ω·cm) d
Ni/Al2O39.2932.361.250.05
Ni-Cu/MgO13.9938.611.630.09
a Measured via DDM reaction. b Calculated by counting 40 CNTs from TEM micrographs. c Determined using Raman analysis. d Determined using a resistivity measurement system.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Jun, U.; Ku, B.-J.; Gwon, Y.; Kim, D.-H.; Kim, M.; Jeon, I.-J.; Lee, H.; Shim, J.-O.; Lee, K. Influence of Metal Composition and Support Material on Carbon Yield and Quality in the Direct Decomposition of Methane. Molecules 2025, 30, 1903. https://doi.org/10.3390/molecules30091903

AMA Style

Jun U, Ku B-J, Gwon Y, Kim D-H, Kim M, Jeon I-J, Lee H, Shim J-O, Lee K. Influence of Metal Composition and Support Material on Carbon Yield and Quality in the Direct Decomposition of Methane. Molecules. 2025; 30(9):1903. https://doi.org/10.3390/molecules30091903

Chicago/Turabian Style

Jun, Uidam, Bon-Jun Ku, Yeji Gwon, Dong-Hyun Kim, Mansu Kim, I-Jeong Jeon, Hongjin Lee, Jae-Oh Shim, and Kyubock Lee. 2025. "Influence of Metal Composition and Support Material on Carbon Yield and Quality in the Direct Decomposition of Methane" Molecules 30, no. 9: 1903. https://doi.org/10.3390/molecules30091903

APA Style

Jun, U., Ku, B.-J., Gwon, Y., Kim, D.-H., Kim, M., Jeon, I.-J., Lee, H., Shim, J.-O., & Lee, K. (2025). Influence of Metal Composition and Support Material on Carbon Yield and Quality in the Direct Decomposition of Methane. Molecules, 30(9), 1903. https://doi.org/10.3390/molecules30091903

Article Metrics

Back to TopTop