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Article

Layered Double Hydroxide (LDH)-Derived Mixed Oxides for Enhanced Light Hydrocarbon Production from CO2 Hydrogenation

by
Evridiki Mandela
1,
Antigoni G. Margellou
2,
Athanasia Kotsaridou
2,
George E. Marnellos
3,4,
Michalis Konsolakis
5 and
Konstantinos S. Triantafyllidis
2,6,7,*,†
1
Department of Mechanical Engineering, University of Western Macedonia, 50100 Kozani, Greece
2
Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
3
Department of Chemical Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
4
Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, 57001 Thessaloniki, Greece
5
School of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece
6
Chemistry Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
7
Interdisciplinary Research Center for Refining and Advanced Chemicals, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
*
Author to whom correspondence should be addressed.
6,7 are primary affiliations of K.S.T.
Catalysts 2025, 15(4), 323; https://doi.org/10.3390/catal15040323
Submission received: 26 February 2025 / Revised: 22 March 2025 / Accepted: 22 March 2025 / Published: 27 March 2025

Abstract

:
Layered double hydroxide (LDH)-derived mixed oxides offer a promising approach for CO2 hydrogenation to light hydrocarbons. Herein, we explore the impact of various transition metals (X = Mn, Co, Cu, and Zn) incorporated into the M-Al or M-(Al+Fe) LDH structures, with the aim of exploring possible synergistic effects. Structural and compositional analyses reveal that an abundance of Fe over Al (Fe/Al ratio ~4) leads to the formation of mixed oxide crystalline phases attributed to CoFe2O4, CuFe2O4, and ZnFe2O4. Catalytic evaluation results demonstrate that the X-Al LDH-derived oxides exhibit high CO2 conversion yet are selective to CH4 or CO. In contrast, Fe incorporation shifts selectivity toward higher hydrocarbons. Specifically, the yield to higher hydrocarbons (C2+) follows the order Ζn-Al-Fe > Cu-Al-Fe > Mn-Al-Fe > Co-Al-Fe >> Mn-Al, Co-Al, Zn-Al, Cu-Al, highlighting the pivotal role of Fe. Moreover, Zn-Al-Fe and Mn-Al-Fe catalysts have been shown to be the most selective towards light olefins. Zn-based systems also exhibit high thermal and structural stability with minimal coke formation, whereas Co-, Cu-, and Mn-based catalysts, when modified with Fe, experience increased carbon deposition or structural changes that may impact long-term stability. This work provides insights into the combined role of Fe and a second transition metal in LDHs for modulating catalytic activity, phase transformations, and stability, underscoring the need for further optimization to balance selectivity and catalyst durability in CO2 hydrogenation applications.

Graphical Abstract

1. Introduction

The rise in energy consumption and commodity goods has led to a proportional increase in CO2 emissions, driving the need for effective reduction strategies. To that end, Carbon Capture and Utilization (CCU) for hydrocarbon production emerges as a promising solution, addressing greenhouse gas emissions and recycling carbon resources. More specifically, using green hydrogen from renewable sources in CO2 hydrogenation enhances the production of carbon-neutral chemicals and fuels, such as light olefins (C2–C4=), which are major components of the chemical industry. Light olefins, namely ethylene, propylene, and butene, are essential raw materials for the production of polymers, resins, pharmaceuticals, and rubbers, with current production numbers exceeding 250 Mt per year [1]. However, today, C2–C4= are produced from energy-intensive routes, such as steam cracking of fossil fuels, emitting around 400 Mt CO2 each year [2]. Consequently, converting CO2 into value-added products offers a viable approach to reducing fossil fuel dependence, addressing significant environmental and economic challenges.
Currently, higher hydrocarbons can be synthesized directly from CO2 hydrogenation following the modified Fischer–Tropsch (mFTS) catalytic route. This process follows two consecutive steps, namely the production of CO from CO2 via the Reverse Water–Gas Shift (RWGS) reaction and its subsequent transformation to hydrocarbons via Fischer–Tropsch Synthesis (FTS). However, this intricate process faces several challenges due to the chemical inertness of CO2 and its high C-C coupling energy barrier, which requires a compromise between the different temperature ranges that favor CO2 activation and FTS, respectively [3]. Additionally, the distribution of produced hydrocarbons is limited by the Anderson–Schulz–Flory (ASF) distribution, which evaluates C2–C4 production (both olefins and paraffins) around 58% and CH4 around 29% [4]. For that purpose, many attempts have been made to break the limit of ASF distribution, such as the selection and the development of tandem catalysts with multifunctional active sites both for RWGS and FTS reactions and their further tuning.
Iron-based catalysts have been recognized as the most selective catalysts towards higher hydrocarbon synthesis in FTS due to their ability to form co-existing phases of Fe in situ, such as Fe3O4, which is considered the active site for the RWGS reaction and several Fe carbides, with Fe5C2 being the most active phase in FTS [5,6,7]. Additionally, it has been demonstrated that doping Fe-based catalysts with adequate amounts of transition metals, such as Mn, Co, Cu, and Zn, can enhance the catalytic activity due to the synergy of the bimetallic active centers [8,9,10,11] and act as structural promoters that hinder catalyst deactivation [7]. In recent studies, Co has been widely explored as a secondary metallic promoter, demonstrating its ability to enhance higher hydrocarbon formation and promote CO2 adsorption, thus facilitating its conversion [10,12]. Chaipraditgul et al. demonstrated that Co addition enabled the further hydrogenation of intermediate species, favoring paraffin production with a closer affinity to CH4 formation [13]. In addition, Cu has proven to facilitate Fe reducibility, enhance its carburization rate, and thus promote Hägg Carbide formation [14,15]. Furthermore, the synergy between Fe and Cu increased the carbon chain propagation, resulting in higher C5+ selectivity [16,17]. Zinc, on the other side, hinders the carburization ability of the catalytic system and enables the formation of ZnFe2O4, which enhances Fe dispersion and suppresses carbon deposition, which leads to sintering [11,18]. Consequently, the intricacy of Fe-based catalysts presents significant challenges, and the impact of transition-metal modifiers is still controversial.
Overall, it is important to develop catalysts with enhanced CO2 adsorption ability, with facile and stable formation of active species. This design principle guides the focus of this work in Layered Double Hydroxides (LDHs) or hydrotalcites, a class of two-dimensional clays consisting of brucite-like layers containing different divalent and trivalent metal cations. Currently, Ni, Co-Al LDH-derived catalysts have been extensively explored in FTS applications [19,20,21]. Additionally, many studies have demonstrated the benefits of LDHs as catalyst precursors since the derived mixed oxides have a homogeneous distribution of metals (ions) in the formed mixed oxide crystalline phases, along with relatively high specific surface area and improved catalytic performance compared with similar materials synthesized by simple co-precipitation methods [22]. In addition to the LDH properties, the enhanced dispersion of metal sites at an atomic level with a tunable M12+/M23+ ratio holds great opportunity for fine-tuning the structural characteristics of the catalytic system [23]. Moreover, it has been demonstrated that upon thermal activation at 300 to 550 °C, the hydrotalcites’ layered structure transforms into a house-of-cards mesostructure consisting of the respective mixed oxides or spinels [24]. Nevertheless, the oxides of the divalent metal always prevail in spinels due to the high atomic ratio of M12+/M23+ (~2–5) in the lattice of hydrotalcite layers [25,26]. The latter was also discussed by Xu et al., who developed K-containing spinel-type ZnCoxFe2−xO4 nanoparticles from LDH calcination with an FTY= value of 29.1 μmolCO2·gFe−1.s−1 for CO2 conversion to C2–C4= [10].
Herein, different transition metals (X = Mn, Co, Cu, Zn) were used to prepare X-Al and X-(Al+Fe) LDH-derived catalysts and their impact on light hydrocarbon production was examined. The role of Fe in facilitating higher hydrocarbon formation was assessed via comparison with the performance of the X-Al mixed-oxide series. Furthermore, preliminary investigations utilizing a combination of characterization techniques on fresh and spent samples provide insights into how the choice of transition metal influences CO2 hydrogenation activity, selectivity, and stability. These findings highlight the potential of Fe-modified LDH-derived catalysts in CO2 hydrogenation, a relatively underexplored topic, and pave the way for further optimization to tune selectivity and long-term stability.

2. Results

2.1. Characterization of Catalysts

2.1.1. Characterization of As-Prepared Materials

The elemental composition of the as-prepared materials was determined via ICP-AES analysis to confirm the amounts and molar ratios of metals, and the results are shown in Table 1. The results indicate that the experimentally determined molar ratio M3+/(M2+/M3+) between the divalent (M2+) and trivalent metals (M3+) ranges between 0.27 and 0.39, being within the ratio 0.2–0.4 of cations required to achieve a stable hydrotalcite structure [27]. Furthermore, the ratio M2+/M3+ is close to 2.2–2.6 for Co, Cu, and Zn materials and is slightly increased to 2.8–3.1 for Mn. The addition of iron led to lower M2+/M3+ ratios compared to the LDHs without iron. Regarding the ratio of the trivalent metals, the experimentally determined ratio of Fe/Al is slightly higher than the theoretical ratio (Fe/Al = 4) and ranges between 4.0 and 4.6. A higher value (Fe/Al = 4.6) was obtained for the manganese material.
The crystal structure of the as-prepared LDHs was determined by X-ray Powder Diffraction (XRD). As can be observed in Figure 1, Co-Al LDH exhibits all the characteristic reflections of the hydrotalcite structure of the R-3m space group. More specifically, the three main peaks at 2θ = 11.6°, 23.6°, and 34.7° correspond to the reflections (003), (006), and (012) of the hydrotalcite structure and reveal the high crystallinity of the material. The partial substitution of aluminum by iron maintained the structure of the hydrotalcite, while the three main peaks slightly shifted to 2θ = 11.7°, 23.5° and 34.2°. Similarly, the Zn-Al LDH exhibits the hydrotalcite structure, and the partial substitution of aluminum by iron maintains the hydrotalcite structure, but the material is less crystalline. The lower crystallinity of Zn-Al LDH compared to the Co-Al LDH can be attributed to the pH of precipitation. All the materials were synthesized at pH = 9–10, which is close to the pH value required for the precipitation of cobalt hydroxides (pH = 9), while the precipitation of zinc hydroxides is favored in a slightly lower pH of ~8 [27]. On the other hand, Cu-Al does not exhibit the hydrotalcite structure, but it exhibits all the characteristic peaks of malachite (Cu2(OH)2CO3) indexed in the P 1 21/a 1 space group and monoclinic crystal system. The formation of the malachite phase is mainly attributed to the high copper content and the Jahn–Teller effect, which predominates under the current conditions of synthesis (metal precursors and pH of precipitation) and does not favor the formation of hydrotalcite, as also referred in the literature [28,29]. The malachite structure is maintained after the partial substitution of aluminum by iron. In a similar trend, Mn-Al and Mn-Al-Fe materials exhibit the main reflections of manganese carbonate (rhodochrosite) of the R-3m space group in the trigonal crystal system. The Mn-Al sample also exhibits some of the characteristic peaks of Al(OH)3 of the bayerite structure. Furthermore, the partial substitution of aluminum by iron led only to the MnCO3 phase, as can be seen in the XRD patterns of Figure 1.
The thermal decomposition of the layered double hydroxides was examined via the Thermogravimetric Analysis (TGA). The degradation of the materials undergoes several steps, which are dependent on the different metals used in the synthesis, as can be observed in Figure 2. The degradation of Co-Al is carried out in two distinct steps. The first weight loss (15.0%) starts from room temperature to 220 °C (endodermic peak at DTGmax = 198 °C) and is attributed to the removal of physically absorbed water and the metal precursor used during the synthesis. The second weight loss (13.4%) starts at 220 °C, finishes at 320 °C (endodermic peak at DTGmax = 252 °C), and is due to the dehydroxylation and decarbonation, which leads to the removal of hydroxyl and carbonate ions from the brucite structure according to the literature. The partial substitution of aluminum with iron led to the one-step weight loss, which shifted to lower temperatures (DTGmax = 195 °C), accounting for 26.9%.
Regarding the thermal behavior of zinc-based LDHs, the distinction in the two above-described decomposition steps is not so clear for Zn-Al, which exhibits a broader single-step degradation, starting from room temperature up to 480 °C (DTGmax = 163 °C) with the weight being equal to 29%. The partial substitution of aluminum by iron led to two more distinct steps of weight loss. The first step is in the temperature range of 28–200 °C (endodermic peak at DTGmax = 167 °C), corresponding to 8.9% weight loss, and the second step ranges between 200 and 400 °C (endodermic peak at DTGmax = 259 °C). Similar to the cobalt-based materials, the first weight loss step can be attributed to the removal of water, while the second weight loss can be attributed to the removal of hydroxyl, nitrate, and carbonate ions, leading to the collapse of the LDH structure, in accordance with results from the literature [30].
In the case of copper LDHs, the main weight loss of both Cu-Al (19.2%) and Cu-Al-Fe (15.2%) has occurred in the temperature range of 250–400 °C (endodermic peak at DTGmax = 339 °C and 350 °C, respectively) and is attributed to the thermal decomposition of malachite (Cu2(OH)2CO3) via dehydroxylation and decarbonation, as also confirmed by other studies in the literature [28]. Apart from this peak, both materials exhibit an extra weight loss (12.1% for Cu-Al and 11.5% for Cu-Al-Fe) at temperatures below 250 °C, which is attributed to the removal of physically absorbed water and the impurities of the metal precursor used for the synthesis of the materials.
Finally, Mn-Al exhibits two distinct steps of weight loss. The first step of weight loss (9.6%) occurred in the temperature range of 97–308 °C (endodermic peak at DTGmax = 255 °C) and is due to the thermal decomposition of MnCO3 towards MnO2 and CO2, which is slightly higher compared to similar results from the literature [31]. The second step of weight loss (18.9%) is observed in the temperature range of 300–630 °C (endodermic peak at DTGmax= 562 °C) and is due to the further transformation of MnO2 towards Mn2O3 [31]. The material with partial substitution of Al by Fe exhibits a first step of weight loss (9.4%) at DTGmax = 98 °C due to the removal of physically absorbed water molecules. At higher temperatures, multiple steps of weight loss can be observed and can be attributed to the degradation of MnCO3, as well as to the subsequent oxidation of manganese and iron oxides. The weight loss within the temperature range of 260–700 °C is 12.8%.
Considering the thermal decomposition of the as-made materials, the temperature of 500 °C proved to be a sufficient calcination temperature to obtain a pure phase of mixed oxides.

2.1.2. Characterization of Calcined Mixed Oxides

The calcination of as-prepared materials led to the collapse of the layered structure towards the formation of the respective mixed oxides. The XRD analysis of the calcined Co-Al material reveals that all the reflections correspond to a Co3O4 spinel structure of the cubic Fd-3m space group (Figure 3). The existence of the CoAl2O4 was excluded due to the absence of reflection (331) at 2θ = 49°, which is attributed only to CoAl2O4, as well as based on the ratio of I220/I311. The ratio I220/I311 of the Co-Al material is equal to 0.38, which is closer to the standard Co3O4 with I220/I311 = 0.31 than the CoAl2O4 with I220/I311 = 0.7 [32,33]. The crystallite size was calculated via the Scherrer equation based on the peak with the highest intensity, which was equal to 6.7 nm (Table 2). The partial substitution of aluminum by iron led to the formation of Co3O4 and Fe3O4 spinels and slightly increased the crystallite size to 7.5 nm. The calcination of Zn-Al LDH led to the formation of ZnO in the hexagonal crystal system with a space group of P63mc. The peaks at 2θ = 31.8, 34.5, 36.4, 47.8, 56.7, 63.1, and 68.2° correspond to the diffractions by the (100), (002), (101), (012), (110), (013), and (112) planes. The calculation of the crystallite size was based on the peak (101) at 2θ = 36.4°, which was found to be equal to 4.9 nm. The partial (but significant) substitution of aluminum by iron led to the formation of a ZnFe2O4 spinel crystalline phase in the cubic crystal system and the Fd-3m space group, in addition to the ZnO phase like the one formed in the Zn-Al LDH-derived mixed oxide, as can be observed in the XRD pattern of Figure 3. However, the crystallite size of ZnO was calculated to be 12.7 nm (reflection (101) at 36.3°), substantially bigger than the size of ZnO in the Zn-Al LDH-derived material. The very small crystal size of ZnO (derived from Zn-Al LDH) can be attributed to the incorporation of Al3+ in the ZnO lattice. Upon calcination of the Zn-Al LDH, Al3+ can replace Zn2+ in the ZnO crystal structure due to its small ionic radius, which also leads to defect formations. Both of the above factors lead to lower crystallinity and smaller size ZnO phase crystals. On the other hand, when the LDH is deficient in Al (as in the Zn-AlFe LDH), the formed ZnO phase contains much less Al3+; thus, crystallization of the ZnO phase is not disturbed, leading to higher crystallinity and larger ZnO crystals.
Regarding the material obtained via the calcination of malachite (Cu-Al) at 500 °C, the formation of monoclinic tenorite (CuO) is observed, and the average crystallite size based on the (111) reflection at 2θ = 35.4° is found to be 9.8 nm. The formation of the tenorite phase via the calcination of malachite is consistent with literature results for the synthesis of Cu-Al LDH-derived mixed oxides [29]. The partial substitution of aluminum by iron did not change the CuO phase, and the extra peaks are assumed to be either CuFe2O4 or Fe3O4 cubic spinel structure. The average crystallite size calculated based on the (111) reflection at 2θ = 35.5° was found to be 9.2 nm, slightly smaller than the Cu-Al crystallite size. Finally, the calcination of rhodochrosite-enriched Mn-Al material led to the formation of Mn2O3 (bixbyite) in the cubic crystal system and I a-3 space group, as the main phase, which is in accordance with TGA and XRD data of the as-made material. The rest of the peaks correspond to Mn3O4 of the hausmannite structure (tetragonal, I 41/a m d), as well as MnAl2O4 of the cubic spinel structure. The crystallite size was calculated based on the reflection (222) of the Mn2O3 structure (2θ = 32.95°) and is equal to 22.3 nm, significantly larger among the mixed oxides synthesized within this work. The substitution of aluminum for iron led to an almost amorphous material with lower crystallinity compared to the Mn-Al. Despite the lower crystallinity, the main phases identified via the XRD analysis are the Mn2O3 (bixbyite) phase, the Mn3O4 hausmannite structure, and the Fe3O4 magnetite phase.
The different crystallinity of the mixed oxide catalyst samples can be attributed to the different composition and structure of the as-synthesized materials. Based on the XRD results, it is observed that the calcination of the well-formed crystalline hydrotalcite phase of both Co-Al and Co-Al/Fe LDHs led to the formation of Co3O4 and Fe3O4 spinel structures with similar distinct crystallinities. On the other hand, the calcination of Zn-Al and Zn-Al/Fe LDHs induced the formation of ZnO and ZnFe2O4. The latter spinel structure is highly crystalline, but the ZnO phase shows somewhat lower crystallinity and smaller crystal size. Thus, it can be suggested that Zn interacts in a different manner with Al and Fe towards the formation of composite oxide/spinel phases than Co does, which induces single metal spinel phases. In the case of Cu-Al/Fe and Mn-Al/Fe systems, the formation of the LDH (hydrotalcite) structure was not successful under the applied synthesis conditions (i.e., mainly pH), leading to the (co)precipitation of (Cu2(OH)2CO3), Al(OH)3, and MnCO3, which were subsequently converted upon calcination to the CuO/CuFe2O4 and Mn2O3/Mn3O4/MnAl2O4 phases of varying crystallinity.
The porous properties of the calcined materials were studied via nitrogen porosimetry. The nitrogen adsorption–desorption isotherms are shown in Figure 4. All the mixed oxides exhibit isotherms of Type II, which is characteristic of non-porous or macroporous materials without intra-crystal porosity, according to the IUPAC classification [34]. The existence of macropores can be associated with the unrestricted adsorption of nitrogen at high relative pressures. An exception to this is the Mn-Al-Fe material, which exhibits an isotherm of Type IV, corresponding to mesoporous materials. Those results are representative of materials derived via the calcination of LDHs in accordance with other studies [35,36,37]. The same conclusions could also be drawn for the pore size distributions determined via the Barrett–Joyner–Halenda (BJH) method using the adsorption branch. As can be observed in Figure 5, all the materials exhibit relatively broad distributions and a pore diameter > 50 Å. Although the materials are highly macroporous, some mesopores are formed in Co-Al (45 Å) and Zn-Al (45 Å) mixed oxides. Regarding the BET-specific surface areas, they range between 53 and 157 m2/g, as shown in Table 2. The higher values of surface areas correspond to Mn-Al and Mn-Al-Fe materials, followed by Co-Al, while the rest of the materials exhibit significantly lower surface areas. The highest surface area of Mn-Al-Fe materials can be attributed to the lower crystallinity and amorphous mixed oxides phases, as determined by XRD analysis. On the other hand, the pore volumes exhibit a different trend. The materials Co-Al, Zn-Al, and Cu-Al exhibit high pore volumes (Vp = 1.014–1.608 cm3/g) compared to the Mn-Al, which has almost half the pore volume (Vp = 0.557 cm3/g). Furthermore, the partial substitution of aluminum by iron led to a considerable decrease in pore volume. An exception to this trend is the material Mn-Al-Fe, whose pore volume increased upon the substitution of aluminum.
The particle size distribution was determined via Dynamic Laser Scattering (DLS) after dispersion of the materials in an aqueous solution (Figure 6). The materials exhibit a relatively broad distribution with one or more modal diameters, apart from the Cu-Al-Fe and Mn-Al mixed oxides, which exhibit a very narrow distribution, indicative of the high homogeneity in terms of particle size. The particle diameters range from 0.08–0.71 μm, as can be observed in Table 2. The cobalt-based materials exhibit almost the same particle diameters, 0.20 and 0.26 μm, for Co-Al and Co-Al-Fe, respectively. Larger particle diameters are observed for Zn-based materials, with 0.39 and 0.43 μm for Zn-Al and Zn-Al-Fe, respectively. The above results indicate that the partial substitution of aluminum by iron in the LDH-derived mixed oxides led to broader particle size distributions without significant changes in the particle diameters. The Cu-Al mixed oxide exhibits a bimodal and broad particle size distribution. The majority of the particles exhibit diameters of 0.48 μm while the second maximum corresponds to 0.11 μm. The partial substitution of aluminum by iron led to a very narrow distribution and a shift in particle diameter towards lower values at 0.33 μm. Regarding the manganese-based mixed oxides, an opposite trend is observed compared to the copper mixed oxides. The Mn-Al material exhibited a narrow particle size distribution, and the modal particle diameter was close to 0.71 μm, while the substitution of aluminum by iron led to a broad and bimodal distribution with two maxima, at 0.33 μm and 0.08 μm.

2.2. CO2 Hydrogenation

The m-FTS reaction performance of the LDH-derived mixed oxides was evaluated over a continuous fixed-bed reactor after 6 h on stream, where a pseudo-steady-state was achieved. The CO2 conversion and the product selectivity in terms of CO, CH4, and light (C2–C4) and heavy (C5+) hydrocarbons are depicted in Table 3, while the hydrocarbon distribution is further illustrated in Figure 7 for all tested samples. The results demonstrate that Co-Al exhibits the highest catalytic performance in terms of CO2 conversion (80.3), being almost exclusively selective towards CH4 (98.7%). The incorporation of Fe in Co-Al-Fe slightly reduces the conversion (XCO2 = 71.7%) but shifts selectivity toward higher hydrocarbons. In contrast, Cu-Al displays significantly lower CO2 conversion (23.0%) and is predominantly selective for CO (89.7%), indicating minimal hydrogenation activity. The incorporation of Fe enhances the conversion (XCO2 = 59.2%) and redirects selectivity toward higher hydrocarbon formation, suggesting that Fe promotes chain growth while suppressing CO or CH4 production. A comparable effect is also observed in Zn-Al, which exhibits poor CO2 hydrogenation performance, with low conversion (8.4%) and high CO selectivity (86.5%). However, Fe incorporation substantially improves conversion (XCO2 = 40.6%) and favors the production of longer-chain hydrocarbons, with C2–C4 and C5+ selectivity increasing to 35.9% and 37.3%, respectively. Similarly, Mn-Al, which initially demonstrates low CO2 conversion (19.6%) and moderate CH4 selectivity (19.8%), experiences a notable shift upon Fe addition, leading to an increase in C2–C4 (27.8%) and C5+ (20.7%) fractions. These trends consistently highlight the crucial role of Fe in facilitating hydrocarbon chain growth and enhancing the selectivity of heavier products.
Figure 7 further illustrates the hydrocarbon distribution across the examined samples. Among the detected C2–C4 products, paraffins dominate, while light olefin formation remains limited. Notably, Co-Al-Fe and Cu-Al-Fe exhibit minimal C2–C4= production, indicating an inhibition of olefin formation. In contrast, Zn-Al-Fe and Mn-Al-Fe demonstrate a more favorable selectivity towards light olefins, yielding 11.4% and 8.3% C2–C4=, respectively. Notably, it is demonstrated that Fe incorporation systematically shifts selectivity away from C1 products, with varying efficiency depending on the type of X metal in the X-(Al+Fe) initial LDH structure.
The present findings unambiguously reveal the combining effect of Fe with a second transition metal toward determining the conversion and selectivity performance of the LDH-derived mixed oxide catalysts. The basic, Fe-free, Co-Al sample is highly active for methane production, whereas Zn-, Mn-, and Cu-Al LDHs are selective towards CO via the rWGS reaction. This trend is notably changed when the same transition metals are combined with Fe, leading to the formation of higher hydrocarbons at the expense of C1 products, with C2+ yield following the order Zn-Al-Fe > Cu-Al-Fe > Mn-Al-Fe > Co-Al-Fe >> Mn-Al, Co-Al, Zn-Al, Cu-Al. Interestingly, the Zn-Al-Fe composites provide a yield to higher hydrocarbons of 29.7%, with an almost equal distribution between C2–C4 (14.6%) and C5+ (15.1%), as illustrated in Figure 8. Similarly, Cu-Al-Fe exhibits a notably higher hydrocarbon yield (25.6%), with a slight preference for C5+ production (13.9%). In contrast, Mn-Al-Fe, despite its lower overall product yield, demonstrates a stronger selectivity toward C2–C4 hydrocarbons.
Motivated by these encouraging results, work is in progress towards improving the yield to higher hydrocarbons, as well as their distribution, by appropriately adjusting the amount and ratio of Zn and Fe in the LDH structure.

2.3. Characterization of Spent Catalysts

The spent catalysts recovered after the CO2 hydrogenation were analyzed via elemental analysis to determine the amount of carbon deposits, as well as by Thermogravimetric Analysis (TGA) in air and X-Ray Diffraction (XRD) to examine any changes in the crystal structures. The structure of spent catalysts seems to be quite complex and is strongly dependent on the metal combinations. Co-Al material exhibits high stability, and the cubic spinel structure of Co3O4 is maintained after the CO2 hydrogenation, as can be observed in Figure 9. Peaks of lower intensity are attributed to metallic cobalt (Co0) in the hexagonal crystal system. Furthermore, the average crystallite size of the catalyst used is 7.6 nm, which is slightly increased from 6.7 nm in the fresh catalyst. On the other hand, the Co-Al-Fe structure seems to undergo significant changes during the hydrogenation of carbon dioxide. The peaks are assigned to cubic cobalt oxide (CoO), cubic spinel structure (CoFe2O4), and the metallic phase of iron (Fe0) or cobalt (Co0), which, due to the same crystal system, cannot be efficiently distinguished via XRD analysis. It can be assumed that during the hydrogenation reaction, the reductive conditions induce a reduction of Co3O4 towards CoO formation and most probably to metallic Co. Similarly, the iron oxide is reduced towards metallic iron. The average crystallite size was calculated based on the (200) reflection of CoO and found to be 10.3 nm.
Zn-Al is not affected by CO2 hydrogenation, and all the reflections correspond to the hexagonal zincite (ZnO) structure of the P 63 mc space group. Only the crystallite size increased from 4.9 nm (fresh catalyst) to 7.6 nm due to thermal sintering during the reaction. Furthermore, the Zn-Al-Fe material maintains the structure of cubic spinels Fe3O4, ZnFe2O4, and the hexagonal zincite (ZnO) structure. The average crystallite size that was calculated based on the most abundant phase (ZnO, 2θ = 34.4°) is equal to 17.6 nm, larger than the Zn-Al spent catalyst, as well as the fresh Zn-Al-Fe catalyst, which exhibits a crystallite size equal to 12.7 nm.
The reductive environment during the CO2 hydrogenation or during the pretreatment under the CO atmosphere induced a complete reduction of the CuO phase in Cu-Al mixed oxide towards the formation of metallic copper (Cu0), as can be observed in Figure 9. All the reflections correspond to (111), (200), and (202) planes at 2θ = 43.3, 50.5, and 74.2°, respectively. The average crystallite size of metallic copper is 17.1 nm. The partial reduction of the CuO phase to metallic Co is also observed in the Cu-Al-Fe material. In that material, the peaks can be assigned to monoclinic tenorite CuO, the cubic structure of metallic copper, as well as to the cubic spinels Fe3O4 and CuFe2O4. The crystallite size was calculated for the (111) reflection of Cu0 at 2θ = 43.3° and found to be equal to 24.4 nm, bigger than the Cu-Al spent catalyst.
Manganese-based mixed oxides are the most vulnerable materials according to the XRD analysis. The analysis revealed that the main crystal structure is the rhodochrosite (MnCO3) in the trigonal system and R-3c space group, which formed due to the adsorption and interactions of manganese oxides with COx species during the CO2 hydrogenation [38,39]. In the Mn-Al pattern, peaks corresponding to cubic MnO were also identified. The crystallite size calculation is based on the reflection (104) of the MnCO3 phase and found to be 30.2 nm, slightly increased compared to the fresh catalyst. In the Mn-Al-Fe material with the partial substitution of aluminum by iron, the main structures identified are MnCO3 and Fe3O4. The latter structure proved to be more stable than the manganese oxides and is less affected by carbon species. The crystallite size was calculated based on the (104) reflection of the MnCO3 phase and found to be 30 nm, similar to the Mn-Al material.
Further physico-chemical characteristics of the spent catalysts were derived by thermogravimetric analysis (Figure 9). The spent Co-Al material does not exhibit any weight loss in the TGA, which is indicative of negligible carbon deposition, as also confirmed by elemental analysis (Table 4). The small weight gain (3.3%) in the temperature range of 170–375 °C (DTGmax = 264 °C) is attributed to the adsorption of oxygen and the subsequent oxidation of metallic cobalt to cobalt oxide. This phenomenon is more obvious in the analysis of spent Co-Al-Fe materials. A first weight gain is observed in the temperature range of 158–330 °C, which is attributed to the oxidation of metals (Co or Fe) to the respective metal oxides. The results are in accordance with the literature results, where the oxidation of metallic iron occurs in the temperature range of 200–250 °C, in TGA run under an air atmosphere [40,41,42]. Afterwards, a weight loss (28%) coupled with an exothermic peak is observed in the temperature range of 330–500 °C, which is attributed to the coke burning. Indeed, the carbon content measured via elemental analysis is 32.8 wt.%, which is very close to the weight loss in TGA.
Regarding the copper-based materials, in the Cu-Al spent catalyst, the weight changes are performed in two distinct steps, at DTGmax = 163 °C and DTGmax = 314 °C with a total weight gain of 9.8%. The first increase in weight can be assigned to the oxidation of metallic Cu to Cu2O, and the second increase at higher temperatures to the subsequent oxidation of Cu2O to CuO, in which reactions take place at 150–250 °C and 250–350 °C, according to the literature [43,44]. The partial substitution of aluminum by iron led to an initial weight gain of 2.7% within the temperature range of 220–317 °C (DTGmax = 254 °C), followed by a weight loss (12.0%) at 320–530 °C. The weight gain is assigned to the oxidation of metallic copper to copper oxide. The phenomenon is shifted to lower temperatures compared to the Cu-Al spent catalysts due to the lower amount of metallic copper, as confirmed by XRD analysis. Furthermore, the weight decrease is associated with the burning of coke deposits, which are significantly higher than Cu-Al, as can be observed via the elemental analysis (Table 4). The carbon content determined for the Cu-Al-Fe spent catalyst is 8.3 wt.%, higher than the 0.2 wt.% of Cu-Al.
The Zn-Al and Zn-Al-Fe materials exhibit almost no weight changes during the thermogravimetric analysis. As can be observed in Figure 9, the Zn-Al exhibits a weight loss (4.7%) at very low temperatures of 24–360 °C (DTGmax = 136 °C), which is attributed to the absorbed water or C5+ formed during the hydrogenation of CO2. Similarly, the TGA of Zn-Al-Fe did not show any changes in weight. Combining the results obtained via the thermogravimetric, elemental, and XRD analyses, it can be concluded that the Zn-Al and Zn-Al-Fe are the most stable materials with almost no changes in the crystal structure and very low carbon formation (<2 wt.%) compared to the rest materials of this work. Zn-Al-Fe LDHs are highly active in the formation of higher hydrocarbons (Figure 10), rendering them promising materials for CO2 hydrogenation to hydrocarbons. To the best of our knowledge, this is the first work revealing the adequate catalytic performance in terms of activity and stability of Zn-Al-Fe LDHS for CO2 hydrogenation. A different behavior is exhibited by the manganese-based catalysts. The spent catalysts recovered after the CO2 hydrogenation exhibit a single-step weight loss in the temperature range of 300–620 °C, which can be attributed to the decomposition of MnCO3, the main structure identified via XRD analysis. More specifically, in Mn-Al, a weight loss of 14% is centered at DTGmax = 525 °C, while in the Mn-Al-Fe, the weight is slightly higher at 23.8%, and the maximum rate of weight loss is at DTGmax = 477 °C. The shift at lower temperatures is attributed to the presence of coke deposits on the catalysts, as also confirmed by the elemental analysis, where the Mn-Al-Fe spent catalyst exhibits a higher carbon amount (8.4 wt.%) compared to the Mn-Al, which exhibits 4.4 wt.%.
Based on the above results for the characterization of spent catalysts, it can be concluded that cobalt and copper-based catalysts exhibited a significant reduction during the CO2 hydrogenation process, as confirmed by the XRD analysis (identification of metallic phases) and the thermogravimetric analysis (increase of weight due to oxidation of metals to metal oxides). On the other hand, in manganese-based oxides, manganese carbonates are formed due to the strong adsorption of carbon dioxide or carbon monoxide. The results from the XRD analysis are consistent with the TGA results and the identification of MnCO3 as the predominant phase in spent catalysts. Finally, zinc-based materials are the most stable materials with almost negligible changes in structure, as confirmed via TGA and XRD analysis, and they have very low deposited carbon. In general, the addition of iron enhanced the activity of the materials but also induced coke formation, as can be observed via the elemental analysis.

3. Discussion

In the present study, the CO2 hydrogenation performance of LDH-derived transition metal mixed oxides (Co, Cu, Zn, Mn) was evaluated using a continuous fixed-bed reactor under identical conditions. The aim was to investigate the influence of these metals, as well as their interaction with Fe, on CO2 conversion, product selectivity, and hydrocarbon chain growth. The obtained results were complemented with detailed characterization of the spent catalysts, including XRD, Thermogravimetric Analysis (TGA), and elemental analysis, to gain insight into the structural, redox, and material stability changes arising from the reactions.
XRD analysis provided crucial insights into the structural evolution of the catalysts, revealing significant differences between the calcined and spent samples. The Co-Al catalyst was initially composed of cubic spinel Co3O4, which remained largely intact after the reaction, with only minor crystallite growth due to sintering. In contrast, the incorporation of Fe in Co-Al-Fe led to substantial phase transformations, with the formation of CoO, CoFe2O4, and metallic Co and Fe phases. The presence of CoFe2O4 spinels highlights Fe’s ability to interact with cobalt, potentially modifying the electronic environment of active sites [45]. Furthermore, the addition of iron in cobalt oxide and the subsequent formation of the above-mentioned structure during CO pretreatment or in situ during CO2 hydrogenation has already been proven to shift the selectivity of the reaction from methane to other hydrocarbons due to the easier formation of iron carbides [46,47,48].
A similar reduction behavior was observed in Cu-based catalysts. While calcined Cu-Al initially contained monoclinic CuO, the spent catalyst exhibited complete reduction to metallic Cu (Cu0) under reaction conditions, leading to significant sintering. This behavior is linked to a dominant selectivity for CO due to copper’s limited ability to further hydrogenate CO intermediates [49]. Unlike in the Co system, where Fe induced strong phase transformations, the Cu-Al-Fe system retained CuFe2O4 and Fe3O4 phases, along with partially reduced Cu, indicating that Fe incorporation stabilized copper oxides to some extent, preventing full reduction. This suggests that Fe modifies the redox dynamics of Cu, affecting the balance between CO and hydrocarbon formation. As a result, the Cu-Al-Fe catalyst exhibited lower CH4 selectivity compared to Co-Al-Fe systems, where phase transformations were more pronounced.
Zn-based catalysts displayed a high degree of structural stability. The Zn-Al catalyst, composed primarily of hexagonal ZnO, remained virtually unchanged after the reaction, with only a slight increase in crystallite size due to sintering. Similarly, Zn-Al-Fe, which retains both ZnO and ZnFe2O4 phases after reaction, shows a pronounced shift in product selectivity toward higher hydrocarbons, particularly light olefins. The presence of Fe3O4 and ZnFe2O4 appears to create active sites that favor hydrocarbon chain propagation over CO desorption [50,51,52]. Unlike Co and Cu systems, Zn-based catalysts exhibited minimal carbon deposition, further supporting their potential as highly active and stable hydrogenation catalysts.
Manganese-based catalysts exhibited significant structural changes, with the Mn-Al catalyst initially containing MnO and amorphous Mn oxides, transforming into MnCO3 upon reaction. This indicates strong interactions with COx species and demonstrates Mn’s tendency to form carbonates, potentially hindering catalytic performance. The Mn-Al-Fe comprised of Fe3O4 and MnCO3 showed higher carbon deposition, suggesting that Fe promotes hydrocarbon chain growth at the cost of increased coke formation. In this system, the presence of Fe3O4 correlated with a shift in product distribution toward higher hydrocarbons but also increased catalyst deactivation due to coking [53,54].
The thermogravimetric analysis of the calcined and spent samples further supports these structural transformations observed in XRD analysis. Zn-based catalysts (Zn-Al and Zn-Al-Fe) exhibit the highest thermal stability, with minimal weight changes and negligible carbon deposition, maintaining their crystalline structure after reaction. The limited tendency for coke formation of the Zn-Al-Fe catalyst is probably attributed to the different basicity of those catalysts and the highly active and stable ZnFe2O4 phase. The formation of the spinel structure prevents the excessive Fe carburization and the formation of Fe0, which is known to promote the Boudouard reaction and carbon deposition [11,55,56,57]. The presence of Fe3O4 rather than Fe0 suggests a controlled oxidation–reduction balance that limits iron carbide overgrowth and reduces coking [50,58]. Additionally, ZnFe2O4 enhances surface basicity, promoting CO2 adsorption and reducing carbon accumulation [58,59,60]. Beyond structural stabilization, Zn addition directly modifies catalyst selectivity and deactivation behavior. Zinc promotes RWGS activity, increasing CO formation while reducing direct carbon-forming pathways, which suppresses coking [10,58]. Compared to Mn, Cu, and Co, which promote deeper iron carburization and Fe-rich metallic sites that accelerate carbon buildup, Zn stabilizes Fe3O4, prevents excessive iron carbide formation, and reduces Fe sintering, thereby maintaining catalyst dispersion and limiting carbon deposition [10,56]. These effects contribute to the improved long-term stability of Zn-Fe-Al catalysts, as ZnFe2O4 remains structurally intact even after extended reaction periods, further reinforcing its role in reducing coke deposition and preventing deactivation [59].
In contrast, Fe-containing Co, Cu, and Mn catalysts experience significant coke formation, as indicated by notable weight loss in TGA and elevated carbon content from elemental analysis. This aligns with XRD findings, which reveal phase transformations and the formation of metallic phases in these catalysts. Additionally, Co and Cu-based systems show oxidation in air, evidenced by weight gain in TGA, reinforcing the XRD observations of redox cycling between oxide and metallic states. These findings demonstrate that while Fe enhances catalytic performance by promoting hydrocarbon chain growth, it also accelerates carbon deposition, which can reduce long-term stability. Consequently, the reasons and mechanisms of coke formation are quite complex and strongly dependent on catalyst basicity and phase composition, which can influence the COx sorption and carburization degree [12,61].
The catalytic data confirm that Fe incorporation universally promotes hydrocarbon chain growth, but its impact on CO2 conversion and selectivity varies by system. While Co-Fe catalysts retain a strong tendency toward CH4 formation, Fe addition enables higher hydrocarbon yields, aligning with findings from comparable Co-Fe systems [10,62,63]. Despite a slight decrease in conversion, the Fe-Co-Al catalyst maintained a remarkably high CO2 conversion relative to reported samples, highlighting the effectiveness of the preparation method. Similarly, Fe in Cu-based catalysts shifted selectivity from CO toward hydrocarbons while stabilizing Cu oxides, which is in agreement with established Fe-Cu behavior [17,64,65]. Zn-based catalysts primarily favored CO formation, but Fe addition significantly enhanced light olefin production, a trend consistent with previous reports on Fe-Zn interactions [66,67]. The Mn-based catalyst displayed the most distinct transformation, with Fe shifting selectivity from CO toward hydrocarbons but at the cost of increased carbon deposition.
Overall, the incorporation of Fe into the Fe-based catalysts consistently promotes the formation of mixed oxide phases—such as CoFe2O4, CuFe2O4, ZnFe2O4, and Fe3O4—which correlates with a shift in product selectivity toward higher hydrocarbons and light olefins, as evidenced in similar catalytic systems shown in Table 5. These findings highlight the complex interplay among phase stability, reducibility, and catalytic function in Fe-based systems. While Fe enhances hydrocarbon chain growth, it also alters the reduction behavior of Co, Cu, Zn, and Mn oxides, leading to distinct structural and electronic environments in the spent catalysts. The TGA results confirm these changes, particularly showing increased carbon deposition in Fe-modified Co, Cu, and Mn catalysts. To further elucidate these phase transformations in real time, future studies should employ operando and spectroscopic techniques, providing deeper insight into the nature of active sites. In this direction, work is in progress towards optimizing Zn-Al-Fe composites by adjusting the metal loading at divalent and trivalent positions of LDHs while unveiling the underlying mechanism of high activity and stability originated by Zn-Fe synergistic effects.
Building on these findings, ongoing efforts are focused on refining Zn-Al-Fe composites by adjusting metal loading at the divalent and trivalent positions of LDHs. This optimization aims to unravel the underlying mechanisms governing their high activity and stability, potentially opening new paths for improved catalytic performance in CO2 hydrogenation.

4. Materials and Methods

4.1. Materials

The catalysts were synthesized using Cu(NO3)3·3H2O (99%, Merck, Darmstadt, Germany), Co(NO3)3·6H2O (99%, Strem, Newburyport, MA, USA), Mn(NO3)3·4H2O (>97%, Fluka, Seelze, Germany), Zn(NO3)3·9H2O (99%, Merck, Darmstadt, Germany), Al(NO3)3·9H2O (>98%, Sigma Aldrich, St. Louis, MO, USA), Fe(NO3)3·9H2O (>98%, Fluka), as metal precursors while NaOH (99%, ChemLab, Kenilworth, NJ, USA) and Na2CO3 (99.8%, Panreac, Barcelona, Spain) were used for the precipitation.

4.2. Synthesis of Catalysts

The mixed oxides were derived via the calcination of layered double hydroxides (LDHs). The LDHs were synthesized via the co-precipitation method followed by hydrothermal treatment. In a typical synthesis, appropriate amounts of metal precursors were dissolved in deionized water under stirring. After complete dilution, they were mixed with a molar ratio M2+/M3+ = 2.0–2.2 and added dropwise to an aqueous solution of Na2CO3 (moles CO32−/moles M3+ = 2.5) under vigorous stirring at room temperature. The pH was maintained in the range 9–10 by adding dropwise a 50% (w/w) NaOH aqueous solution. Afterwards, the dispersions were left under stirring for 18 h in sealed polypropylene bottles at 60 °C for aging. The precipitate was filtered, washed several times with deionized water, and dried at room temperature. The final mixed oxides were derived via the calcination of LDHs at 500 °C for 2 h and a heating rate of 2 °C/min.

4.3. Characterization of Catalysts

The total metal content of the samples was determined by Atomic Emission Spectroscopy (ICP-AES, Plasma 40, Perkin Elmer instrument, Waltham, MA, USA) after the appropriate dissolution of the solid samples. The structural characterization of LDHs and mixed oxides was performed via X-ray Powder Diffraction (XRD) using a Rigaku Ultima+ 2cycles X-ray Diffractometer (Akishima, Japan) with CuKa X-ray radiation. The materials were scanned over 2θ = 5–85° range with 0.02°/step and 2 s/step. The porous properties of mixed oxides were determined via N2 adsorption–desorption at −196 °C using an Automatic Volumetric Sorption Analyzer (Autosorb-1 MP, Quantachrome, Boynton Beac, FL, USA). Prior to the measurements, the samples were outgassed at 150 °C for 19 h under a 5 × 10−9 Torr vacuum. The total surface areas were determined via the multipoint BET method, the total pore volume was determined at P/Po = 0.99, while the pore size distribution was obtained via the Barrett–Joyner–Halenda (BJH) method. Particle size distribution was obtained using a Dynamic Light Scattering (DLS, Anton Parr, Litesizer 500, Graz, Austria) instrument. Before the measurement, 10 mg of mixed oxides were dispersed in 10 mL of deionized water and ultrasonicated for 10 min.
Spent catalysts were characterized by XRD, elemental, and Thermogravimetric Analysis (TGA). Elemental analysis was performed using the Eurovector EA3100 Series CHNS-O elemental analyzer (Pavia, Italy). The oxygen content was calculated by difference. Thermogravimetric analysis was carried out using a Netzsch STA449F5 instrument (Selb, Germany) under airflow (50 mL/min) and a constant heating rate of 10 °C/min in the temperature range of 25–950 °C.

4.4. Catalytic Activity Test

Catalytic performance tests were carried out in a fixed bed reactor with a 13 mm inner diameter arranged in a down-flow orientation. In the center of the catalyst bed, a K-type thermocouple was placed to monitor the catalyst’s temperature. Typically, 1 g of catalyst was loaded into the reactor, located between plugs of quartz wool, and activated under 20% CO/He in situ at 350 °C and atmospheric pressure for 5 h. Consequently, the catalyst was cooled to room temperature under pure N2 flow and pressurized to 20 bar after exposure to a stoichiometric reactant mixture of H2:CO2 = 3 and WHSV = 5500 mL·gcat−1·h−1. A cold trap was used to collect the liquid products before gaseous product analysis. The latter were quantified by an online gas chromatograph (Shimadzu GC-2014, Kyoto, Japan) equipped with a Molecular Sieve 13X column (Restek, Bellefonte, PA, USA) connected to a Thermal Conductivity Detector (TCD, Shimadzu, Kyoto, Japan), while the hydrocarbons were quantified in a Porapak Q packed column (Restek, Bellefonte, PA, USA) connected to a Flame Ionization Detector (FID, Shimadzu, Kyoto, Japan). The reaction was maintained for at least 6.5 h on stream, and the CO2 Conversion ( X C O 2 ), product selectivities ( S C O , S C i , S C 5 + ) and yields ( Υ C i , Υ C 2 + ) were determined through the following Equations (1)–(6):
X C O 2   % = C O 2 i n C O 2 o u t   C O 2 i n · 100
S C O ( % ) = C O o u t C O 2 i n C O 2 o u t · 100
S C i ( % ) = m o l e   o f   C i o u t   ×   i   C O 2 i n C O 2 o u t · 100
  S C 5 +   % = 100 S C O % S C 1 C 4 %
Υ C i   % = X C O 2   ×   S C i   100
Υ C 2 +   % = X C O 2   ×   S C 2 C 4   ×   S C 5 + 100
where C O 2 i n represents the molar flow of CO2 in the inlet of the reactor, and C O 2 o u t , COout, and C i o u t represent the molar flow of CO2, CO, and C1C4 hydrocarbons in the outlet of the reactor.

5. Conclusions

In this study, X-Al and X-(Al+Fe) LDH-derived catalysts (X = Co, Cu, Zn, Mn) were evaluated for CO2 hydrogenation. It was shown that the catalytic performance (activity, selectivity, coking) depends greatly on the composition, i.e., type and interaction between the different metals. Co-Al containing mixed oxide/spinels favor CH4 formation, while Cu-Al and Zn-Al-based catalysts produce mainly CO. Partial replacement of Al by Fe (Fe/Al molar ratio 4:1) in the LDH structure enhanced the selectivity of the derived mixed oxide/spinel catalysts towards higher hydrocarbons (C2–C4). Among the studied catalysts, Zn-Al-Fe emerged as the most stable and promising material, combining improved CO2 conversion (40.6%) with an enhanced C2+ yield (29.7%) and minimal carbon deposition. In contrast, Fe-modified Co, Cu, and Mn catalysts experienced significant coke formation. These preliminary results highlight the remarkable synergistic effect of Fe addition in promoting C–C coupling and underscore the potential of Zn-Al-Fe catalysts for further modification to optimize product distribution toward added-value chemicals.

Author Contributions

Conceptualization, G.E.M., M.K. and K.S.T.; data curation, E.M., A.G.M. and A.K.; formal analysis, E.M. and A.G.M.; funding acquisition, G.E.M., M.K. and K.S.T.; investigation, E.M., A.G.M. and A.K.; methodology, E.M. and A.G.M.; supervision, G.E.M., M.K. and K.S.T.; writing–original draft, E.M. and A.G.M.; writing–review and editing, G.E.M., M.K. and K.S.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research has been co-financed by the European Union “NextGenerationEU” under the Action “RESEARCH–CREATE–INNOVATE 16971”, Greece 2.0-National Recovery and Resilience Plan (project code: TAEDK-06169).

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Liang, J.; Liu, J.; Guo, L.; Wang, W.; Wang, C.; Gao, W.; Guo, X.; He, Y.; Yang, G.; Yasuda, S.; et al. CO2 Hydrogenation over Fe-Co Bimetallic Catalysts with Tunable Selectivity through a Graphene Fencing Approach. Nat. Commun. 2024, 15, 512. [Google Scholar] [CrossRef] [PubMed]
  2. Flores-Granobles, M.; Saeys, M. Quantitative Analysis of CO2 Emissions Reduction Potential of Alternative Light Olefins Production Processes. Green Chem. 2023, 25, 6459–6471. [Google Scholar] [CrossRef]
  3. Ma, Z.; Porosoff, M.D. Development of Tandem Catalysts for CO2 Hydrogenation to Olefins. ACS Catal. 2019, 9, 2639–2656. [Google Scholar] [CrossRef]
  4. Jiao, F.; Li, J.; Pan, X.; Xiao, J.; Li, H.; Ma, H.; Wei, M.; Pan, Y.; Zhou, Z.; Li, M.; et al. Selective Conversion of Syngas to Light Olefins. Science 2016, 351, 1065–1068. [Google Scholar] [CrossRef]
  5. Wang, H.; Nie, X.; Liu, Y.; Janik, M.J.; Han, X.; Deng, Y.; Hu, W.; Song, C.; Guo, X. Mechanistic Insight into Hydrocarbon Synthesis via CO2 Hydrogenation on χ-Fe5C2 Catalysts. ACS Appl. Mater. Interfaces 2022, 14, 37637–37651. [Google Scholar] [CrossRef]
  6. Ye, D.; Tang, W.; Zhang, T.; Lv, L.; Zou, Z.; Gupta, R.K.; Tang, S. Enhancing the Synergism of Fe3O4 and Fe5C2 to Improve the Process of CO2 Hydrogenation to Olefines. Colloids Surf. A Physicochem. Eng. Asp. 2022, 654, 130145. [Google Scholar] [CrossRef]
  7. Ronda-Lloret, M.; Rothenberg, G.; Shiju, N.R. A Critical Look at Direct Catalytic Hydrogenation of Carbon Dioxide to Olefins. ChemSusChem 2019, 12, 3896–3914. [Google Scholar] [CrossRef]
  8. Wang, W.; Jiang, X.; Wang, X.; Song, C. Fe-Cu Bimetallic Catalysts for Selective CO2 Hydrogenation to Olefin-Rich C2+ Hydrocarbons. Ind. Eng. Chem. Res. 2018, 57, 4535–4542. [Google Scholar] [CrossRef]
  9. Liu, N.; Wei, J.; Xu, J.; Yu, Y.; Yu, J.; Han, Y.; Wang, K.; Orege, J.I.; Ge, Q.; Sun, J. Elucidating the Structural Evolution of Highly Efficient Co–Fe Bimetallic Catalysts for the Hydrogenation of CO2 into Olefins. Appl. Catal. B 2023, 328, 122476. [Google Scholar] [CrossRef]
  10. Xu, Q.; Xu, X.; Fan, G.; Yang, L.; Li, F. Unveiling the Roles of Fe-Co Interactions over Ternary Spinel-Type ZnCoxFe2−XO4 Catalysts for Highly Efficient CO2 Hydrogenation to Produce Light Olefins. J. Catal. 2021, 400, 355–366. [Google Scholar] [CrossRef]
  11. Zhang, J.; Lu, S.; Su, X.; Fan, S.; Ma, Q.; Zhao, T. Selective Formation of Light Olefins from CO2 Hydrogenation over Fe-Zn-K Catalysts. J. CO2 Util. 2015, 12, 95–100. [Google Scholar] [CrossRef]
  12. Kim, K.Y.; Lee, H.; Noh, W.Y.; Shin, J.; Han, S.J.; Kim, S.K.; An, K.; Lee, J.S. Cobalt Ferrite Nanoparticles to Form a Catalytic Co-Fe Alloy Carbide Phase for Selective CO2 Hydrogenation to Light Olefins. ACS Catal. 2020, 10, 8660–8671. [Google Scholar] [CrossRef]
  13. Chaipraditgul, N.; Numpilai, T.; Kui Cheng, C.; Siri-Nguan, N.; Sornchamni, T.; Wattanakit, C.; Limtrakul, J.; Witoon, T. Tuning Interaction of Surface-Adsorbed Species over Fe/K-Al2O3 Modified with Transition Metals (Cu, Mn, V, Zn or Co) on Light Olefins Production from CO2 Hydrogenation. Fuel 2021, 283, 119248. [Google Scholar] [CrossRef]
  14. Choi, Y.H.; Jang, Y.J.; Park, H.; Kim, W.Y.; Lee, Y.H.; Choi, S.H.; Lee, J.S. Carbon Dioxide Fischer-Tropsch Synthesis: A New Path to Carbon-Neutral Fuels. Appl. Catal. B 2017, 202, 605–610. [Google Scholar] [CrossRef]
  15. Ojelade, O.A.; Zaman, S.F. A Review on CO2 hydrogenation to Lower Olefins: Understanding the Structure-Property Relationships in Heterogeneous Catalytic Systems. J. CO2 Util. 2021, 47, 101506. [Google Scholar] [CrossRef]
  16. Li, Z.; Wu, W.; Wang, M.; Wang, Y.; Ma, X.; Luo, L.; Chen, Y.; Fan, K.; Pan, Y.; Li, H.; et al. Ambient-Pressure Hydrogenation of CO2 into Long-Chain Olefins. Nat. Commun. 2022, 13, 2396. [Google Scholar] [CrossRef]
  17. Liu, J.; Zhang, A.; Jiang, X.; Liu, M.; Sun, Y.; Song, C.; Guo, X. Selective CO2 Hydrogenation to Hydrocarbons on Cu-Promoted Fe-Based Catalysts: Dependence on Cu-Fe Interaction. ACS Sustain. Chem. Eng. 2018, 6, 10182–10190. [Google Scholar] [CrossRef]
  18. Tang, H.; Qiu, T.; Wang, X.; Zhang, C.; Zhang, Z. A Brief Review of Recent Theoretical Advances in Fe-Based Catalysts for CO2 Hydrogenation. Molecules 2024, 29, 1194. [Google Scholar] [CrossRef]
  19. Li, J.; Li, C.; Tang, Q.; Zuo, Z.; Liu, L.; Dong, J. Effect of MgFe-LDH with Reduction Pretreatment on the Catalytic Performance in Syngas to Light Olefins. Catalysts 2023, 13, 632. [Google Scholar] [CrossRef]
  20. Luo, M.; Li, M.; Lü, B.; Liu, Q.; Di, Z.; Guo, L. Cobalt Nanoparticle-Decorated LDH/ZIF-Derived Porous Nanoplatelets for Fischer-Tropsch Synthesis. ACS Appl. Nano Mater. 2021, 4, 3734–3741. [Google Scholar] [CrossRef]
  21. Jayaprakash, S.; Dewangan, N.; Jangam, A.; Das, S.; Kawi, S. LDH-Derived Ni–MgO–Al2O3 Catalysts for Hydrogen-Rich Syngas Production via Steam Reforming of Biomass Tar Model: Effect of Catalyst Synthesis Methods. Int. J. Hydrogen Energy 2021, 46, 18338–18352. [Google Scholar] [CrossRef]
  22. Dewangan, N.; Hui, W.M.; Jayaprakash, S.; Bawah, A.R.; Poerjoto, A.J.; Jie, T.; Jangam, A.; Hidajat, K.; Kawi, S. Recent Progress on Layered Double Hydroxide (LDH) Derived Metal-Based Catalysts for CO2 Conversion to Valuable Chemicals. Catal. Today 2020, 356, 490–513. [Google Scholar] [CrossRef]
  23. Fang, X.; Chen, C.; Jia, H.; Li, Y.; Liu, J.; Wang, Y.; Song, Y.; Du, T.; Liu, L. Progress in Adsorption-Enhanced Hydrogenation of CO2 on Layered Double Hydroxide (LDH) Derived Catalysts. J. Ind. Eng. Chem. 2021, 95, 16–27. [Google Scholar] [CrossRef]
  24. Vulić, T.; Hadnadjev, M.; Marinković-Nedučin, R. Structure and Morphology of Mg-Al-Fe-Mixed Oxides Derived from Layered Double Hydroxides. J. Microsc. 2008, 232, 634–638. [Google Scholar] [CrossRef]
  25. Xiang, X.; Hima, H.I.; Wang, H.; Li, F. Facile Synthesis and Catalytic Properties of Nickel-Based Mixed-Metal Oxides with Mesopore Networks from a Novel Hybrid Composite Precursor. Chem. Mater. 2008, 20, 1173–1182. [Google Scholar] [CrossRef]
  26. Zou, L.; Xiang, X.; Fan, J.; Li, F. Single-Source Precursor to Complex Metal Oxide Monoliths with Tunable Microstructures and Properties: The Case of Mg-Containing Materials. Chem. Mater. 2007, 19, 6518–6527. [Google Scholar] [CrossRef]
  27. Cavani, F.; Trifirò, F.; Vaccari, A. Hydrotalcite-Type Anionic Clays: Preparation, Properties and Applications. Catal. Today 1991, 11, 173–301. [Google Scholar] [CrossRef]
  28. Yin, W.; Tan, Q.; Liu, L.; Li, X. Synthesis and Characterization of Mg-Al Layered Double Hydroxide. Adv. Mat. Res. 2012, 454, 101–104. [Google Scholar] [CrossRef]
  29. Boulahbal, A.I.; Santamaría, L.; Azizi, A.; Boutahala, M.; Korili, S.A.; Gil, A. Synthesis of Cu-Al Layered Double Hydroxides from Aluminum Saline Slags. Min. Eng. 2023, 204, 108413. [Google Scholar] [CrossRef]
  30. Ahmed, A.A.A.; Talib, Z.A.; Hussein, M.Z. bin Thermal, Optical and Dielectric Properties of Zn-Al Layered Double Hydroxide. Appl. Clay Sci. 2012, 56, 68–76. [Google Scholar] [CrossRef]
  31. Yusoff, N.F.M.; Idris, N.H.; Din, M.F.M.; Majid, S.R.; Harun, N.A.; Rahman, M.M. Investigation on the Electrochemical Performances of Mn2O3 as a Potential Anode for Na-Ion Batteries. Sci. Rep. 2020, 10, 9207. [Google Scholar] [CrossRef] [PubMed]
  32. Visinescu, D.; Paraschiv, C.; Ianculescu, A.; Jurca, B.; Vasile, B.; Carp, O. The Environmentally Benign Synthesis of Nanosized CoxZn1-XAl2O4 Blue Pigments. Dye. Pigment. 2010, 87, 125–131. [Google Scholar] [CrossRef]
  33. Zhang, W.; Li, Z.; Wu, G.; Wu, W.; Zeng, H.; Jiang, H.; Zhang, W.; Wu, R.; Xue, Q. Effects of Coloration of Spinel CoAl2O4 Cobalt Blue Pigments: Composition, Structure, and Cation Distribution. Inorganics 2023, 11, 368. [Google Scholar] [CrossRef]
  34. Thommes, M. Physisorption of Gases, with Special Reference to the Evaluation of Surface Area and Pore Size Distribution (IUPAC Technical Report). Chem. Int. 2016, 38, 25. [Google Scholar] [CrossRef]
  35. Santamaría, L.; Oliveira García, L.; de Faria, E.H.; Ciuffi, K.J.; Vicente, M.A.; Korili, S.A.; Gil, A. M(II)-Al-Fe Layered Double Hydroxides Synthesized from Aluminum Saline Slag Wastes and Catalytic Performance on Cyclooctene Oxidation. Min. Eng. 2022, 180, 107516. [Google Scholar] [CrossRef]
  36. Triantafyllidis, K.S.; Peleka, E.N.; Komvokis, V.G.; Mavros, P.P. Iron-Modified Hydrotalcite-like Materials as Highly Efficient Phosphate Sorbents. J. Colloid Interface Sci. 2010, 342, 427–436. [Google Scholar] [CrossRef]
  37. Ferna, M.; Ulibarri, A.; Labajosb, F.M.; Rives, V. The Effect of Iron on the Crystalline Phases Formed upon Thermal Decomposition of Mg-Al-Fe Hydrotalcites. J. Mater. Chem. 1998, 8, 2507–2514. [Google Scholar]
  38. Kim, Y.J.; Kim, B.G.; Bae, J.W. CO2 Hydrogenation to Synthetic Natural Gas with Light Hydrocarbons on Mn-Promoted Mesoporous Co3O4-Al2O3 Metal Oxides. J. CO2 Util. 2024, 81, 102724. [Google Scholar] [CrossRef]
  39. Liang, H.; Zhao, Q.; Liu, S.; Wei, C.; Wang, Y.; Wang, Y.; Huang, S.; Ma, X. Synergistic Effect of Fe-Mn Bimetallic Sites with Close Proximity for Enhanced CO2 Hydrogenation Performance. Front. Chem. Sci. Eng. 2024, 18, 140. [Google Scholar] [CrossRef]
  40. Lysenko, E.N.; Surzhikov, A.P.; Zhuravkov, S.P.; Vlasov, V.A.; Pustovalov, A.V.; Yavorovsky, N.A. The Oxidation Kinetics Study of Ultrafine Iron Powders by Thermogravimetric Analysis. J. Therm. Anal. Calorim. 2014, 115, 1447–1452. [Google Scholar] [CrossRef]
  41. Leventis, N.; Donthula, S.; Mandal, C.; Ding, M.S.; Sotiriou-Leventis, C. Explosive versus Thermite Behavior in Iron(0) Aerogels Infiltrated with Perchlorates. Chem. Mater. 2015, 27, 8126–8137. [Google Scholar] [CrossRef]
  42. Kuhn, C.; Knapp, A.; Deutschmann, M.P.; Spielmann, J.; Tischer, S.; Kramm, U.I.; Nirschl, H.; Deutschmann, O. Iron as Recyclable Metal Fuel: Unraveling Oxidation Behavior and Cyclization Effects Through Thermogravimetric Analysis, Wide-Angle X-Ray Scattering and Mössbauer Spectroscopy. ChemSusChem 2024, 17, e202400351. [Google Scholar] [CrossRef] [PubMed]
  43. Mahana, D.; Mauraya, A.K.; Singh, P.; Muthusamy, S.K. Evolution of CuO Thin Films through Thermal Oxidation of Cu Films Prepared by Physical Vapour Deposition Techniques. Solid State Commun. 2023, 366–367, 115152. [Google Scholar] [CrossRef]
  44. Gao, L.; Pang, C.; He, D.; Shen, L.; Gupta, A.; Bao, N. Synthesis of Hierarchical Nanoporous Microstructures via the Kirkendall Effect in Chemical Reduction Process. Sci. Rep. 2015, 5, 16061. [Google Scholar] [CrossRef]
  45. Burke, M.S.; Kast, M.G.; Trotochaud, L.; Smith, A.M.; Boettcher, S.W. Cobalt-Iron (Oxy)Hydroxide Oxygen Evolution Electrocatalysts: The Role of Structure and Composition on Activity, Stability, and Mechanism. J. Am. Chem. Soc. 2015, 137, 3638–3648. [Google Scholar] [CrossRef]
  46. Yao, R.; Wei, J.; Ge, Q.; Xu, J.; Han, Y.; Xu, H.; Sun, J. Structure Sensitivity of Iron Oxide Catalyst for CO2 Hydrogenation. Catal. Today 2021, 371, 134–141. [Google Scholar] [CrossRef]
  47. Pan, Y.; Ding, X.; Zhang, C.; Zhu, M.; Yang, Z.; Han, Y.F. Effects of Different Reductive Agents on Zn-Promoted Iron Oxide Phases in the CO2–Fischer–Tropsch to Linear α-Olefins. Catalysts 2023, 13, 594. [Google Scholar] [CrossRef]
  48. Gnanamani, M.K.; Jacobs, G.; Hamdeh, H.H.; Shafer, W.D.; Liu, F.; Hopps, S.D.; Thomas, G.A.; Davis, B.H. Hydrogenation of Carbon Dioxide over Co-Fe Bimetallic Catalysts. ACS Catal. 2016, 6, 913–927. [Google Scholar] [CrossRef]
  49. Yang, Y.; Evans, J.; Rodriguez, J.A.; White, M.G.; Liu, P. Fundamental Studies of Methanol Synthesis from CO2 Hydrogenation on Cu(111), Cu Clusters, and Cu/ZnO(0001). Phys. Chem. Chem. Phys. 2010, 12, 9909–9917. [Google Scholar] [CrossRef]
  50. Choi, Y.H.; Ra, E.C.; Kim, E.H.; Kim, K.Y.; Jang, Y.J.; Kang, K.N.; Choi, S.H.; Jang, J.H.; Lee, J.S. Sodium-Containing Spinel Zinc Ferrite as a Catalyst Precursor for the Selective Synthesis of Liquid Hydrocarbon Fuels. ChemSusChem 2017, 10, 4764–4770. [Google Scholar] [CrossRef]
  51. Wang, C.; Chen, J.; Zhu, H.; Zhang, W.; Bai, H.; Zhang, J. Highly Effective MFe2O4 (M=Zn, Mg, Cu and Mn) Spinel Catalysts for Fischer-Tropsch Synthesis. J. Fuel Chem. Technol. 2024, 52, 667–676. [Google Scholar] [CrossRef]
  52. Fallahi, Y.; Burgun, U.; Sarioglan, A.; Atakul, H. Effect of Sodium Incorporation into Fe-Zn Catalyst for Fischer- Tropsch Synthesis to Light Olefins. Mol. Catal. 2023, 535, 112866. [Google Scholar] [CrossRef]
  53. Mediero-Munoyerro, M.J.; McGregor, J.; McMillan, L.; Al-Yassir, N.; Bingham, P.A.; Forder, S.D.; Gorin, C.; Al-Khattaf, S.; Gladden, L.F.; Midgley, P.A. Structural Changes in FeOx/γ-Al2O3 Catalysts during Ethylbenzene Dehydrogenation. Catal. Struct. React. 2016, 2, 25–32. [Google Scholar] [CrossRef]
  54. Skrypnik, A.S.; Petrov, S.A.; Kondratenko, V.A.; Yang, Q.; Matvienko, A.A.; Kondratenko, E.V. Spatially Resolved Analysis of CO2 Hydrogenation to Higher Hydrocarbons over Alkali-Metal Promoted Well-Defined FexOyCz. J. Catal. 2023, 425, 286–295. [Google Scholar] [CrossRef]
  55. Gnanamani, M.K.; Hamdeh, H.H.; Jacobs, G.; Qian, D.; Liu, F.; Hopps, S.D.; Thomas, G.A.; Shafer, W.D.; Xiao, Q.; Hu, Y.; et al. Fischer-Tropsch Synthesis: Effect of Cu, Mn and Zn Addition on Activity and Product Selectivity of Cobalt Ferrite. RSC Adv. 2016, 6, 62356–62367. [Google Scholar] [CrossRef]
  56. Falbo, L.; Martinelli, M.; Visconti, C.G.; Lietti, L.; Forzatti, P.; Bassano, C.; Deiana, P. Effects of Zn and Mn Promotion in Fe-Based Catalysts Used for COx Hydrogenation to Long-Chain Hydrocarbons. Ind. Eng. Chem. Res. 2017, 56, 13146–13156. [Google Scholar] [CrossRef]
  57. Wang, H.; Yang, Y.; Xu, J.; Wang, H.; Ding, M.; Li, Y. Study of Bimetallic Interactions and Promoter Effects of FeZn, FeMn and FeCr Fischer-Tropsch Synthesis Catalysts. J. Mol. Catal. A Chem. 2010, 326, 29–40. [Google Scholar] [CrossRef]
  58. Wu, D.K.; Wang, X.; Gao, X.H.; Ma, Q.X.; Zhang, J.L.; Fan, S.B.; Zhao, T.S. Preparation of Layered K-Fe-Zn-Ti Catalyst and Its Performance in the Hydrogenation of Carbon Dioxide to Light Olefins. J. Fuel Chem. Technol. 2019, 47, 949–956. [Google Scholar] [CrossRef]
  59. Song, F.; Han, H.; Zheng, D.; Fan, L.; Cao, Y.; Cai, W. Insight into the Synthesis of Alkali Metal Modified Co-Doped ZnFe2O4 with Faveolate Spinel Structure and Their Enhanced Selectivity of Olefins during CO2 Hydrogenation. Appl. Surf. Sci. 2025, 680, 161482. [Google Scholar] [CrossRef]
  60. Nam, S.S.; Lee, S.J.; Kim, H.; Jun, K.W.; Choi, M.J.; Lee, K.W. Catalytic Conversion of Carbon Dioxide into Hydrocarbons over Zinc Promoted Iron Catalysts. Energy Convers. Manag. 1997, 38, 397–402. [Google Scholar] [CrossRef]
  61. Zepeda, T.A.; Aguirre, S.; Galindo-Ortega, Y.I.; Solís-Garcia, A.; Navarro Yerga, R.M.; Pawelec, B.; Fierro-Gonzalez, J.C.; Fuentes, S. Hydrogenation of CO2 to Valuable C2-C5 Hydrocarbons on Mn-Promoted High-Surface-Area Iron Catalysts. Catalysts 2023, 13, 954. [Google Scholar] [CrossRef]
  62. Yuan, F.; Zhang, G.; Wang, M.; Zhu, J.; Zhang, M.; Ding, F.; Cheng, Z.; Song, C.; Guo, X. Boosting the Production of Light Olefins from CO2 Hydrogenation over Fe-Co Bimetallic Catalysts Derived from Layered Double Hydroxide. Ind. Eng. Chem. Res. 2023, 62, 8210–8221. [Google Scholar] [CrossRef]
  63. Zhang, L.; Dang, Y.; Zhou, X.; Gao, P.; Petrus van Bavel, A.; Wang, H.; Li, S.; Shi, L.; Yang, Y.; Vovk, E.I.; et al. Direct Conversion of CO2 to a Jet Fuel over CoFe Alloy Catalysts. Innovation 2021, 2, 100170. [Google Scholar] [CrossRef]
  64. Zhao, Q.; Fan, G.; Li, F. Unique CuOx–FeOx Interfaces in Cu-Decorated Fe-Based Catalysts Facilitating CO2 Hydrogenation to Higher Hydrocarbons. Chem. Eng. J. 2024, 495, 153309. [Google Scholar] [CrossRef]
  65. Li, Z.; Wang, K.; Xing, Y.; Song, W.; Gao, X.; Ma, Q.; Zhao, T.; Zhang, J. Synthesis of Liquid Hydrocarbon via Direct Hydrogenation of CO2 over FeCu-Based Bifunctional Catalyst Derived from Layered Double Hydroxides. Molecules 2023, 28, 6920. [Google Scholar] [CrossRef]
  66. Xu, M.; Liu, X.; Cao, C.; Sun, Y.; Zhang, C.; Yang, Z.; Zhu, M.; Ding, X.; Liu, Y.; Tong, Z.; et al. Ternary Fe-Zn-Al Spinel Catalyst for CO2 Hydrogenation to Linear α-Olefins: Synergy Effects between Al and Zn. ACS Sustain. Chem. Eng. 2021, 9, 13818–13830. [Google Scholar] [CrossRef]
  67. Gong, X.; Liu, Y.; He, R.; Xu, X.; Han, Z.; Chen, J.; Feng, B.; Wang, Z.; Xing, A. Insights into the Structural Evolution Process of Na/ZnFe2O4 Spinel Catalyst in CO2 Hydrogenation. ChemCatChem 2024, 16, e202301341. [Google Scholar] [CrossRef]
  68. Wang, D.; Zhou, J.; Chen, Z.; Hu, D.; Tian, Y. Unraveling the Role of Reducing Atmospheres on Fe-Zn-Al Catalysts for Highly Selective Carbon Dioxide Hydrogenation to Light Olefins. J. Alloys Compd. 2024, 1009, 176911. [Google Scholar] [CrossRef]
  69. Satthawong, R.; Koizumi, N.; Song, C.; Prasassarakich, P. Light Olefin Synthesis from CO2 Hydrogenation over K-Promoted Fe-Co Bimetallic Catalysts. Catal. Today 2015, 251, 34–40. [Google Scholar] [CrossRef]
  70. Zhang, Z.; Wei, C.; Jia, L.; Liu, Y.; Sun, C.; Wang, P.; Tu, W. Insights into the Regulation of FeNa Catalysts Modified by Mn Promoter and Their Tuning Effect on the Hydrogenation of CO2 to Light Olefins. J. Catal. 2020, 390, 12–22. [Google Scholar] [CrossRef]
  71. Liang, B.; Sun, T.; Ma, J.; Duan, H.; Li, L.; Yang, X.; Zhang, Y.; Su, X.; Huang, Y.; Zhang, T. Mn Decorated Na/Fe Catalysts for CO 2 Hydrogenation to Light Olefins. Catal. Sci. Technol. 2019, 9, 456–464. [Google Scholar] [CrossRef]
  72. Wei, J.; Sun, J.; Wen, Z.; Fang, C.; Ge, Q.; Xu, H. New Insights into the Effect of Sodium on Fe3O4- Based Nanocatalysts for CO2 Hydrogenation to Light Olefins. Catal. Sci. Technol. 2016, 6, 4786–4793. [Google Scholar] [CrossRef]
  73. Elishav, O.; Shener, Y.; Beilin, V.; Landau, M.V.; Herskowitz, M.; Shter, G.E.; Grader, G.S.; Grader, G.S. Electrospun Fe-Al-O Nanobelts for Selective CO2 Hydrogenation to Light Olefins. ACS Appl. Mater. Interfaces 2020, 12, 24855–24867. [Google Scholar] [CrossRef] [PubMed]
  74. Xu, M.; Liu, X.; Song, G.; Cai, Y.; Shi, B.; Liu, Y.; Ding, X.; Yang, Z.; Tian, P.; Cao, C.; et al. Regulating Iron Species Compositions by Fe-Al Interaction in CO2 Hydrogenation. J. Catal. 2022, 413, 331–341. [Google Scholar] [CrossRef]
Figure 1. X-ray Powder Diffraction (XRD) patterns of as-made materials.
Figure 1. X-ray Powder Diffraction (XRD) patterns of as-made materials.
Catalysts 15 00323 g001
Figure 2. Thermogravimetric Analysis (TGA) of as-made materials.
Figure 2. Thermogravimetric Analysis (TGA) of as-made materials.
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Figure 3. X-ray Powder Diffraction (XRD) patterns of mixed oxides.
Figure 3. X-ray Powder Diffraction (XRD) patterns of mixed oxides.
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Figure 4. N2 adsorption–desorption isotherms of LDH-derived mixed oxides.
Figure 4. N2 adsorption–desorption isotherms of LDH-derived mixed oxides.
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Figure 5. Pore size distributions of LDH-derived mixed oxides determined via BJH method (adsorption branch).
Figure 5. Pore size distributions of LDH-derived mixed oxides determined via BJH method (adsorption branch).
Catalysts 15 00323 g005
Figure 6. Particle size distributions of mixed oxides after dispersion in water.
Figure 6. Particle size distributions of mixed oxides after dispersion in water.
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Figure 7. Product distribution over X-Al and X-(Al+Fe) samples (Reaction conditions: 340 °C, H2/CO2 = 3:1, WHSV = 5.5 L·gcat−1.h−1, P = 20 bar, and TOS = 6 h).
Figure 7. Product distribution over X-Al and X-(Al+Fe) samples (Reaction conditions: 340 °C, H2/CO2 = 3:1, WHSV = 5.5 L·gcat−1.h−1, P = 20 bar, and TOS = 6 h).
Catalysts 15 00323 g007
Figure 8. Product yield over X-Al and X-(Al+Fe) samples.
Figure 8. Product yield over X-Al and X-(Al+Fe) samples.
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Figure 9. X-ray Powder Diffraction (XRD) patterns of used mixed oxide catalysts.
Figure 9. X-ray Powder Diffraction (XRD) patterns of used mixed oxide catalysts.
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Figure 10. Thermogravimetric Analysis (TGA) of used mixed oxides.
Figure 10. Thermogravimetric Analysis (TGA) of used mixed oxides.
Catalysts 15 00323 g010
Table 1. Composition of as-made materials, as determined via ICP-AES.
Table 1. Composition of as-made materials, as determined via ICP-AES.
MaterialsTheoretical
Molar Ratios
Experimental
Molar Ratios
Co (wt.%)Cu (wt.%)Zn (wt.%)Mn (wt.%)Al (wt.%)Fe (wt.%)
Co-AlCo/Al = 2Co/Al = 2.461.1---11.6-
Co-Al-FeCo/(Al+Fe) = 2, Fe/Al = 4Co/(Al+Fe) = 2.3, Fe/Al = 4.044.7---1.814.9
Cu-AlCu/Al = 2Cu/Al = 2.3-39.9--7.3-
Cu-Al-FeCu/(Al+Fe) = 2, Fe/Al = 4Cu/(Al+Fe) = 2.3, Fe/Al = 4.1-50.5--1.815.3
Zn-AlZn/Al = 2Zn/Al = 2.6--69.5-11.1-
Zn-Al-FeZn/(Al+Fe) = 2.2, Fe/Al = 4Zn/(Al+Fe) = 2.2, Fe/Al = 4.3--48.0-1.715.1
Mn-AlMn/Al = 2Mn/Al = 3.1---53.78.5-
Mn-Al-FeMn/(Al+Fe) = 2, Fe/Al = 4Mn/(Al+Fe) = 2.8, Fe/Al = 4.6---50.11.615.1
Table 2. Physicochemical characterization of mixed oxides.
Table 2. Physicochemical characterization of mixed oxides.
MaterialsTheoretical Molar RatioDcryst a
(nm)
SBET
(m2/g) b
Vtotal (cm3/g) cdparticle (nm) d
Co-AlCo/Al = 26.71391.014200
Co-Al-FeCo/(Al+Fe) = 2, Fe/Al = 47.5650.888260
Cu-AlCu/Al = 29.8551.608480
Cu-Al-FeCu/(Al+Fe) = 2, Fe/Al = 49.2530.367330
Zn-AlZn/Al = 24.9951.102390
Zn-Al-FeZn/(Al+Fe) = 2.2, Fe/Al = 412.7610.556430
Mn-AlMn/Al = 222.31340.557710
Mn-Al-FeMn/(Al+Fe) = 2, Fe/Al = 4-1570.863330
a Calculated via XRD analysis and the Scherrer equation. b Calculated via multipoint BET equation from N2 sorption at −196 °C. c Total pore volume at P/Po = 0.99. d Determined via DLS measurements.
Table 3. CO2 conversion and product selectivity over the tested catalytic systems.
Table 3. CO2 conversion and product selectivity over the tested catalytic systems.
MaterialsXCO2 (%)Product Selectivity (%)
COCH4C2−C4C5+
Co-Al80.30.098.7 0.2 1.0
Co-Al-Fe71.7 0.370.323.06.4
Cu-Al23.089.77.52.80.0
Cu-Al-Fe59.2 2.3 54.3 19.8 23.5
Zn-Al8.4 86.5 2.6 4.8 6.1
Zn-Al-Fe40.6 7.8 18.9 35.9 37.3
Mn-Al19.669.419.88.42.5
Mn-Al-Fe22.321.130.427.820.7
Reaction conditions: 340 °C, H2/CO2 = 3:1, WHSV = 5.5 L·gcat−1.h−1, P = 20 bar, and TOS = 6 h.
Table 4. Physicochemical characterization of spent catalysts.
Table 4. Physicochemical characterization of spent catalysts.
MaterialsDcryst
(nm) a
C (wt.%) bWeight Gain
(wt.%) c
DTGmax (°C) cWeight Loss
(wt.%) c
DTGmax (°C) c
Co-Al7.60.03.3264--
Co-Al-Fe10.332.81.025027.0342–383
Cu-Al17.10.29.8314--
Cu-Al-Fe24.48.32.725412.0367
Zn-Al7.61.2--4.7136
Zn-Al-Fe17.01.7----
Mn-Al30.24.4--14.0525
Mn-Al-Fe30.08.4--23.8477
a Determined via XRD analysis and Scherrer equation b Determined via elemental analysis. c Determined via TGA.
Table 5. CO2 hydrogenation performance and product selectivity for similar catalytic systems reported in the literature.
Table 5. CO2 hydrogenation performance and product selectivity for similar catalytic systems reported in the literature.
CatalystReaction Conditions
T (°C), P (bar), WHSV (mL·gcat−1.h−1)
XCO2 (%)SCH4 (%)SCO (%)SC2–C4 (%)SC2+ (%)Ref.
ZnFe2O4 a320, 25, 480042.110.110.728.879.0[10]
Fe6Zn1Al1330, 15, 15,00039.112.422.521.1 c62.6[66]
10Fe3Zn1K/Al2O3400, 30, 360038.635.833.824.130.9[17]
FeZn300, 10, 500040.627.310.7-46.9[67]
Fe-Zn-Al320, 10, 13,00031.611.920.736.268.08[68]
ZnCo0.5Fe1.5O4 a320, 25, 480049.617.85.839.876.2[10]
FeCo-1:2-LDH a320, 30, 720048.243.94.236.751.9[62]
Co-Fe a 240, 30, 550019.668.12.92.228.8[63]
ZnCo0.5Fe1.5O4 a320, 25, 480049.617.85.839.876.2[10]
Fe-Co/Al2O3300, 11, 360025.044.013.0-43.0[69]
Co4Fe1320, 20, 800043.734.17.631.753.5[9]
Na-AlFeCu a320, 50, 35 b44.513.69.923.876.3[65]
Fe–Cu(0.75)/Al2O3300, 11, 360022.818.045.0-37.0[8]
10Fe3Cu1K/Al2O3400, 30, 360041.727.826.531.945.7[17]
0.3-CuFe/ZrO2320, 20, 480035.412.311.938.077.1[64]
10Fe3Mn1K/Al2O3400, 30, 360042.036.123.029.840.9[17]
3MnNaFe290, 15, 20,00030.130.924.233.343.9[70]
10Mn-Na/Fe320, 30, 204037.714.012.934.173.8[71]
Fe3O4320, 30, 200029.350.216.630.433.02[72]
Fe-Al-O Nanobelts300, 10, 1 d48.010.016.057.0 e69.0[73]
FeAl350330, 15, 900048.217.310.138.172.6[74]
a LDH-derived samples, b gcat.mol−1.h−1, c C2–C3 products, d h−1, e C2–C5 products.
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Mandela, E.; Margellou, A.G.; Kotsaridou, A.; Marnellos, G.E.; Konsolakis, M.; Triantafyllidis, K.S. Layered Double Hydroxide (LDH)-Derived Mixed Oxides for Enhanced Light Hydrocarbon Production from CO2 Hydrogenation. Catalysts 2025, 15, 323. https://doi.org/10.3390/catal15040323

AMA Style

Mandela E, Margellou AG, Kotsaridou A, Marnellos GE, Konsolakis M, Triantafyllidis KS. Layered Double Hydroxide (LDH)-Derived Mixed Oxides for Enhanced Light Hydrocarbon Production from CO2 Hydrogenation. Catalysts. 2025; 15(4):323. https://doi.org/10.3390/catal15040323

Chicago/Turabian Style

Mandela, Evridiki, Antigoni G. Margellou, Athanasia Kotsaridou, George E. Marnellos, Michalis Konsolakis, and Konstantinos S. Triantafyllidis. 2025. "Layered Double Hydroxide (LDH)-Derived Mixed Oxides for Enhanced Light Hydrocarbon Production from CO2 Hydrogenation" Catalysts 15, no. 4: 323. https://doi.org/10.3390/catal15040323

APA Style

Mandela, E., Margellou, A. G., Kotsaridou, A., Marnellos, G. E., Konsolakis, M., & Triantafyllidis, K. S. (2025). Layered Double Hydroxide (LDH)-Derived Mixed Oxides for Enhanced Light Hydrocarbon Production from CO2 Hydrogenation. Catalysts, 15(4), 323. https://doi.org/10.3390/catal15040323

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