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Article

Sustainable Synthesis of CoFe2O4/Fe2O3 Catalyst for Hydrogen Generation from Sodium Borohydride Hydrolysis

by
Lucas Tonetti Teixeira
1,
Marcos Medeiros
2,
Liying Liu
3,
Vinicius Novaes Park
4,
Célio Valente-Rodriguez
5,
Sonia Letichevsky
2,
Humberto Vieira Fajardo
4,
Rogério Navarro Correia de Siqueira
2,*,
Marcelo Eduardo Huguenin Maia da Costa
6 and
Amilton Barbosa Botelho Junior
7
1
COPPE, PENt, Federal University of Rio de Janeiro, Rio de Janeiro 21941-972, Brazil
2
Chemical and Materials Engineering Department, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro 22451-900, Brazil
3
Brazilian Center of Physical Research (CBPF), Rio de Janeiro 22290-180, Brazil
4
Chemistry Department, Federal University of Ouro Preto (UFOP), Ouro Preto 35402-163, Brazil
5
Physics Institute, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, Brazil
6
Physics Department, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro 22451-900, Brazil
7
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
*
Author to whom correspondence should be addressed.
Catalysts 2025, 15(10), 943; https://doi.org/10.3390/catal15100943
Submission received: 25 July 2025 / Revised: 8 September 2025 / Accepted: 11 September 2025 / Published: 1 October 2025

Abstract

Hydrogen has been explored as a greener alternative for greenhouse gas emissions reduction. Sodium borohydride (NaBH4) is a favorable hydrogen carrier due to its high hydrogen content, safe handling, and rapid hydrogen release. This work presents a novel synthesis of the catalyst CoFe2O4/Fe2O3 using nanocellulose fibers (TCNF) as reactive templates for metal adsorption and subsequent calcination. The resulting material was tested for H2 production from basic NaBH4 aqueous solutions (10–55 °C). The catalyst’s composition is 74.8 wt% CoFe2O4, 25 wt% Fe2O3, and 0.2 wt% Fe2(SO4)3 with agglomerated spheroidal particles (15–20 nm) and homogeneous Fe and Co distribution. The catalyst produced 1785 mL of H2 in 15 min at 25 °C (50 mg catalyst, 4.0% NaBH4, and 2.5 wt% NaOH), close to the stoichiometric maximum (2086 mL). The maximum H2 generation rate (HGR) reached 3.55 L min−1 gcat−1 at 40 °C. Activation energies were determined using empirical (38.4 ± 5.3 kJ mol−1) and Langmuir–Hinshelwood (L–H) models (42.2 ± 5.8 kJ mol−1), consistent with values for other Co-ferrite catalysts. Kinetic data fitted better to the L–H model, suggesting that boron complex adsorption precedes H2 evolution.

Graphical Abstract

1. Introduction

The pursuit of greener energy resources has intensified due to the direct impact of greenhouse gas emissions on climate change mitigation [1,2,3]. Solar and wind energy hold visible potential but also face seasonality impacting consistent energy (electricity) generation [4]. Hydrogen (H2) emerges as a promising renewable alternative, offering diverse synthesis pathways and producing only water upon oxidation. However, the storage of H2 in either gaseous or liquid form presents significant technological challenges, and borohydrides like NaBH4 are a potential alternative in alkali pH [5,6,7,8,9,10,11,12,13].
H2 generation can be achieved through various environmentally friendly processes, including water splitting and hydrocarbon reforming, with the ideal scenario of H2 oxidation yielding only water as a byproduct [5,6]. Nevertheless, the storage of H2 is complicated by the difficulty in preventing diffusion when confined as a gas or liquid under pressure. Strategies to address this include obtaining H2 gas through hydrocarbon separation via heating, natural gas, and the hydrolysis of metal–boron hydrides [7,8,9]. Sodium borohydride (NaBH4) stands out as a stable source and high storage content of H2 in basic aqueous solutions. Although H2 evolution occurs spontaneously in NaBH4 aqueous solutions at neutral pH, the reaction kinetics are slow at room temperature [8,10]. To inhibit H2 formation, a strong base (e.g., NaOH) for high alkali pH that stabilizes the borohydride through the formation of boron complexes with available OH anions [11]. The controlled release of H2 at a satisfactory rate is then achieved by introducing a suitable catalyst [12]. The global process of NaBH4 hydrolysis in the presence of an appropriate oxide catalyst is represented by Equation (1) [13], with hydrogen evolution expected to proceed irreversibly as long as boron hydride is present, and approximately half of the hydrogen originating from water splitting [8], indicating a non-elementary reaction mechanism [8,10,12,14,15,16,17,18,19,20,21].
Catalytic hydrolysis of NaBH4 in alkali aqueous solutions can be accomplished through homogeneous or heterogeneous catalysis. Heterogeneous catalysis offers a solution to this separation problem, as the reaction medium and solid catalyst exist in different physical states, especially when magnetic catalyst crystals like cobalt ferrite spinel (CoFe2O4) containing materials are used, facilitating easier separation and low-cost production and comparable performance with noble metal-based materials (which often involve considerable costs, although they have high catalytic activity) [10,14,15,16,17,18,19,20,21]. As a result, non-metal-based catalysts, such as alloys or oxides, are being explored as feasible (technically and economically) alternatives [12].
The literature has reported various cobalt-based catalysts for H2 generation from sodium borohydride. Liu and Li synthesized Co-B nanoparticles, achieving a catalyst performance of 26 L H2 min−1 g−1 [21], while Balčiūnaitė et al. [22] synthesized different metallic cobalt-containing catalysts, reporting an H2 generation rate of 53.5 mL min−1 for a CoBMo/Cu catalyst. These results reinforce the potential associated with cobalt-containing catalysts towards NaBH4 hydrolysis [23,24,25,26,27]. Other studies have investigated Co-B-P particles [28], zirconium oxysulfate samples containing a carbonaceous phase (ZrOSO4/C) [29], kaolin-clay composites functionalized with CoB particles [30], cobalt–nickel bimetallic nanoparticles [31], Co3O4 nanorods [32], and Co-ferrite anchored in graphene structures [33], all showing promising catalytic activity. Co-containing materials, including the spinel CoFe2O4 [28,29,30,31,32,33,34,35,36,37,38], have demonstrated potential as catalysts for H2 production via NaBH4 hydrolysis, with ongoing research exploring novel synthesis procedures and kinetic data for this reaction [35,36,39].
This research aims to contribute new kinetic data on NaBH4 hydrolysis, a promising route for future H2 storage and generation, given the current energy transition scenario. This study presents characterization results to analyze sample morphology and chemical nature, followed by kinetic analysis of H2 evolution. The catalyst used, composed of an aggregate of spherical nanoparticles, is presented as a potential alternative to existing Co-bearing catalysts. Notably, Co-ferrite spinel was synthesized using a novel method involving a type of nanocellulose (TCNF) as a reactive template. This specific synthesis route, employing TCNF, was chosen to achieve better control over the sample’s morphology and chemical composition through the simultaneous adsorption of Co and Fe cations on the nanofibers’ surface, which is not extensively explored in the literature, which employs a type of nanocellulose (TCNF) as a reactive template [40].
The novelty of this work lies in the development of a CoFe2O4/Fe2O3 catalyst through a nanocellulose-templated synthesis route, which distinguishes it from conventional cobalt-based catalysts reported in the literature. By employing TCNF as reactive templates for simultaneous adsorption of cobalt and iron ions, the authors achieved better control over nanoparticle morphology, homogeneous elemental distribution, and strong magnetic properties that enable straightforward recovery—advantages not commonly observed in previously reported methods. Compared to other cobalt ferrite systems, the synthesized catalyst demonstrated competitive or superior hydrogen generation rates (up to 3.55 L min−1 gcat−1 at 40 °C), approaching stoichiometric limits under mild conditions. Furthermore, this study provides new kinetic insights, showing that the Langmuir–Hinshelwood model better describes the reaction mechanism than empirical models, which is rarely addressed in the literature. Collectively, these improvements highlight the dual contribution of this work: advancing sustainable synthesis strategies through bio-based templating and enhancing the fundamental understanding of sodium borohydride hydrolysis kinetics with cobalt ferrite catalysts.

2. Methods

2.1. Catalyst Synthesis

TEMPO-oxidized cellulose nanofibers (TCNF) were obtained as previously described [40]. Then, 15 mL of nanocellulose aqueous suspension was added to a 100 mL aqueous solution containing Co2+ and Fe2+ of concentrations, respectively, equal to 58.21 and 55.75 g L−1, using Co(NO3)2∙6H2O and FeSO4∙7H2O as cation precursors. The oxidative action of the TEMPO catalyst enables the substitution of carbon six hydroxyl units by the COOH group, which can be viewed as interesting sites for the adsorption of the desired metallic cations.
After 30 min of contact time, the solid phase was separated through vacuum filtration, and the obtained solid, TCNF fibers with cobalt and iron cations adsorbed on it (TCNF@FeCo), was calcined in a muffle furnace at 500 °C for 2 h.

2.2. Hydrogen Generation

H2 generation experiments were performed (Figure 1) with controlled amounts (±0.005 g) of NaOH (99% IsoFar) and NaBH4 (97% Nuclear) dissolved in deionized water, and the homogeneous solution was added to a reaction flask at a specific temperature controlled by using a thermal bath (±2 °C). Then, the desired amount of the catalyst was loaded into the reactor and set under constant stirring. H2 volume generated was then measured as a function of time in a graduated cylinder (±2%).
The effect of catalyst mass (12, 25, and 50 mg), NaOH concentration (1.0, 2.5, 5.0, and 10% w/v), NaBH4 concentration (0.5, 1.0, 2.0, and 4.0% w/v), and temperature (10, 25, 40, and 55 °C) on the hydrogen production rate was studied. Kinetic modeling was performed based on the predicted NaBH4 consumption rate. To calculate the time derivative of NaBH4 concentration as a function of time, a second-order polynomial fit of NaBH4 of the measured data was performed.

2.3. Kinetic Modeling

During kinetic modeling (Equation (1)) [28,29], it was assumed that water was present in excess, and, therefore, its molar amount was considered constant for the calculation of NaBH4’s instantaneous concentration. In fact, this assumption is plausible based on the initial molar amounts of borohydride employed, which varied between 0.0025 and 0.02 mol, resulting in a maximum (stoichiometric) water consumption of 0.005 and 0.04 mol, when compared to 1.1 mol of water (20 mL) used in all tests. The obtained polynomial function was then used for the analytical first-order derivative calculation, whose negative value represents the desired reaction rate at each time ( r a ).
N a B H 4 ( a q ) + 2 H 2 O ( l ) N a B O 2 ( a q ) + 4 H 2 ( g )
In the present article, kinetic modeling was performed through both an n-th order empirical model (Equations (2) and (3)) and also the Langmuir–Hinshelwood (L–H) model, defined by Equation (4) [39]. In Equations (2) and (3), n designates the reaction order, k represents the kinetic constant, and r a represents the absolute value of the NaBH4 hydrolysis rate at a specified time. In Equation (4), C a , 0 represents the initial concentration of NaBH4 and K the adsorption equilibrium constant. In the present work, the NaBH4 consumption rate was measured in g L−1 min−1 and concentration in g L−1.
r a = k C a n
l n   l n   r a = n   l n C a + l n k
k t = C a , 0 C a + l n C a , 0 C a K
Regarding the empirical model, a plot of l n   r a as a function of l n C a enables estimation of global reaction order and kinetic constant through the linear and angular coefficients, respectively. In the case of the L–H model, a MATLAB (version 2024b) function was constructed for simultaneously estimating the values of k and K , which was based on the use of the fminsearch built-in MATLAB function.
In both cases, the process global activation energy ( E a ) was calculated from the Arrhenius equation, according to its linearized form (Equation (5)), through evaluation of the angular coefficient of a plot of l n k as a function of 1 / T . In the present work, activation energy is given in J mol−1, R represents the universal gas constant (8.314 J K−1 mol−1), and temperature is given in Kelvin. In Equation (5), A represents the Arrhenius frequency factor, which should be constant as long as no change in the mechanism takes place in the temperature range explored, as for both E a and n .
l n k = l n A E a R T
Recycling tests were carried out three times at 25 °C, with a 50 mg catalyst mass and initial concentrations (% w/v) of NaOH and NaBH4 equal to 2.5 and 2%, respectively. After each reaction cycle, the catalyst was separated from the reaction medium via centrifugation, dried at 80 °C overnight, reweighed, and finally used for the next reaction cycle. H2 generation rate (HGR) was calculated by dividing the measured rate of H2 production (L min−1) by the catalyst mass employed (g).

2.4. Sample Characterization

X-ray diffraction (XRD) was employed to evaluate sample composition regarding present crystalline phases. Diffraction patterns were obtained employing a Bruker D8 Discover equipped with a Ni filter, Lynxeye detector, and copper tube operating at 40 mA and 40 kV. Analyses were performed in the range between 10 and 95°, with a 0.02° step and an acquisition time of 15 s. Rietveld refinement analysis was performed using TOPAS 5.0 software from Bruker (Billerica, MA, USA). Sample morphology was first studied through scanning electron microscopy (SEM) in a JEOL JSM 7100F microscope operating at 2 kV and then through transmission electron microscopy (TEM) in a JEOL JEM 2100F microscope operating at 200 kV (JEOL, Tokyo, Japan). In order to evaluate the sample chemical composition, elemental distribution EDS maps were constructed in STEM mode.
To prepare samples for TEM analysis, isopropanol suspensions containing the synthesized oxide particles were drop-casted onto carbon-coated copper grids. Magnetization measurements were performed using a Physical Property Measurement System (PPMS) DynaCool from Quantum Design (San Diego, CA, USA). Magnetization measurements as a function of the applied magnetic field were conducted at room temperature to analyze the sample’s magnetic response, as well as coercive field, saturation magnetization, and remanence magnetization evaluation. Regarding sample preparation for magnetic characterization, powder masses determined using an analytical balance (Mettler Toledo model AB204-S, Mettler Toledo, Columbus, OH, USA) were carefully wrapped in Teflon tape and positioned in the brass sample holder of the PPMS. Finally, XPS measurements were made using a SPECS system with a Phoibos 150 hemispherical analyzer (SPECS GmbH, Berlin, Germany) and an aluminum non-monochromatic X-ray gun (1486.6 eV). A survey and spectra of Fe 2p, Co 2p, C1s, and O1s were made and analyzed, removing the Shirley background and deconvolving the peaks using Voight curves. The spectra were corrected using the carbon 1s peak position. In the Cobalt 2p region, the Iron Auger LMM was used in order to perform the desired signal deconvolution.

3. Results and Discussion

3.1. Catalyst Characterization

The XRD pattern of the synthesized oxide sample can be observed in Figure 2. It was possible to identify by Rietveld analysis (Figure A1) the presence of three crystalline phases: Co-spinel ferrite (CoFe2O4, COD CIF file: 1535820, 74.76 wt%), hematite (Fe2O3, ICSD, CIF file 82902, 24.98 wt%), and Fe(III) sulfate (Fe2(SO4)3, COD CIF file: 9008258, 0.276 wt%). Our analysis demonstrated a goodness of fitting (GOF) of 1.15, supporting its quantitative level. Mean crystallite sizes were obtained by integral peak breadth-based volume calculation (LVol-IB), resulting in values of 12 nm and 48 nm for Co-ferrite and hematite, respectively. The higher affinity of iron towards interaction with the active sites (-OH or COO- groups) contained in the nanocellulose molecular structure can explain the lower cobalt concentration evidenced after Rietveld analysis (all cobalt is stabilized in the cobalt ferrite lattice).
Formation of the spinel structure can be explained by the fact that both Fe3+ and Co2+ cations, once adsorbed in the TCNF nanofibers, chemically react together with O2 present in the calcination atmosphere, thereby forming a spinel cubic lattice. On the other hand, hematite (Fe2O3) crystals were also produced due to Fe excess (free iron cations, which do not interact with Co2+) over the TCNF fibers. Finally, SO42− anions originally present in aqueous media, also adsorbed over TCNF nanofibers, can chemically react with part of the Fe cations present, thereby forming Fe-sulfate, which should be thermodynamically stable for temperatures in the range between 400 and 800 °C (thermodynamic simulation shown in Figure A2).
Based on data from Figure A2, Fe2(SO4)3 can decompose to either Fe2O3 or FeSO4, and no sulfate residue is expected after 900 °C. For the employed calcination temperature (500 °C), it is then expected that most of the Fe(III)-sulfate formed during sample thermal treatment should be present in the material after the calcination step. Therefore, the low mass fraction of Fe(III)-sulfate (0.26 wt%, Figure A1) and thermodynamic data (Figure A2) strongly suggest that the amount of sulfate anions (SO42−) adsorbed in TCNF from the initial aqueous solution should be of low magnitude compared to Fe3+ (Fe2O3) or Co2+ (CoFe2O4). The distance between the atom planes (Figure 3) was measured as 0.486 nm, which corresponds to the value of the (111) plane of CoFe2O4. Moreover, the SAED pattern in Figure 4D was indexed as CoFe2O4, and the diffraction ring of the (111) plane agrees well with the HRTEM image (Figure 3C).
These results confirm the presence of cobalt ferrite spinel, as evidenced by XRD analysis (Figure 2 and Figure A1). The histogram of the particle size distribution obtained from Figure A3 indicates that the nanoparticles have an average size of 19.0 ± 0.2 nm (Figure A3). Additionally, the elemental chemical composition of a group of ferrite nanocrystals was investigated through EDS, and corresponding elemental maps and associated STEM images are depicted in Figure 4. Data clearly reveal that iron, cobalt, and oxygen are spatially homogeneously distributed, corroborating the formation of a single spinel phase (CoFe2O4).
Magnetization as a function of magnetic field obtained at room temperature (Figure A4) revealed the magnetic characteristics of the studied spinel Co–ferrite-containing sample. The saturation magnetization (Ms), reaching 37.2 emu g−1, represents the maximum magnetization the material can achieve under the influence of a magnetic field. This value indicates a notable sample magnetic response capacity.
On the other hand, the remanence magnetization (Mr), which achieved a value of 15.7 emu g−1, represents the residual magnetization that persists after the removal of the earlier applied external magnetic field. Additionally, the coercive field (Hc) of the sample, measured as 1260 Oe, indicates the material’s resistance to demagnetization, i.e., the amount of magnetic field required to completely reverse its magnetization to zero. In addition, the observed magnetic behavior (Figure A4) indicates a lower saturation magnetization in comparison with other studies conducted earlier for Fe-Co spinel crystals [41,42]. It occurs (Figure 2 and Figure A1) due to the presence of Co-ferrite spinel (magnetic) and hematite (inferior magnetic response due to antiferromagnetic nature) [43], thereby contributing to a reduction in Ms. Additionally, TEM analysis (Figure 3) evidenced the presence of nanoparticle agglomeration in the sample. The advent of agglomeration can significantly influence magnetic properties by promoting magnetic interactions between neighboring particles, thereby leading both to higher values of Mr (residual magnetization) and Hc (coercive field) and also to a hysteresis enhancement, which, for the catalyst mean particle size (19 nm), should not be expected.

3.2. XPS Analysis

Signals associated with the catalyst sample as a whole, as well as for the binding energy regions characteristic of Fe and Co, are presented, respectively, in Figure 5, Figure 6 and Figure 7, and C and O in Figure A5 and Figure A6. The powder sample was placed in the system fixed with double-sided tape. Spectra were acquired in the Fe 2p, Co 2p, O 1s, and C 1s regions, along with a survey spectrum. The background was removed using the Shirley method, and the peak fitting was performed using Voigt curves with a Gaussian–Lorentzian ratio of 40–60%. In the iron region, we identified the presence of Fe2O3 (Fe3+) only, with the 2p3/2 peak located around 711 eV and the 2p1/2 peak at 724 eV. In the case of iron (Figure 6) and cobalt (Figure 7), the black curve indicates the model and the gray curve the background. The red curves in the case of cobalt represent the deconvoluted contributions to the model. The same is valid for carbon and oxygen spectra presented in the Appendix (Figure A5 and Figure A6). In the case of iron, the red line is coincident with the black curve, and therefore, does not appear in the figure.
The powder sample was placed in the system fixed with double-sided tape. Spectra were acquired in the Fe 2p, Co 2p, O 1s, and C 1s regions, along with a survey spectrum. The background was removed using the Shirley method, and the peak fitting was performed using Voigt curves with a Gaussian–Lorentzian ratio of 40–60%. In the Fe region, we identified the presence of Fe2O3 (Fe3+) only, with the 2p3/2 peak located around 711 eV and the 2p1/2 peak at 724 eV.
In the Co region, the 2p3/2 and 2p1/2 peaks were observed at 781.1 eV and 786.2 eV, respectively, along with two characteristic satellite peaks indicative of Co–O bonding (Co2+) [44]. The obtained results, considering only the transition metals of relevance, indicate that Fe and Co atomic fractions should have values, respectively, equal to 71.3% and 29.7%.
A quantitative comparison between atomic fractions determined through Rietveld analysis and XPS (Table 1) shows that both techniques achieved very similar results, corroborating their findings and confirming the presence of the identified transition metals in the sample.

3.3. Hydrogen Generation

After synthesizing and characterizing the material, our focus shifted to investigating its catalytic behavior, depicted in Figure 8. Figure 8 shows the obtained data for H2 generation as a function of time under varying NaOH concentration (Figure 8a), catalyst mass (Figure 8b), NaBH4 concentration (Figure 8c), and temperature (Figure 8d). According to Figure 8, the synthesized cobalt ferrite-containing sample clearly presents a prominent catalytic activity towards hydrogen generation from sodium borohydride aqueous solution in basic media. In order to avoid the NaBH4 self-hydrolysis, NaOH was used as a stabilizing agent [45]. In the set of experiments conducted in the absence of the catalyst, emulating the experimental conditions of the catalyzed tests, no appreciable volume of hydrogen was generated over time. Thus, the hydrolysis in a basic medium is controlled by the action of the CoFe2O4/Fe2O3 catalyst. In NaOH absence (Table A1), the amount of H2 generated at 25 °C (123 mL) was almost ten times higher in comparison with the amount produced at 55 °C for an initial concentration of NaOH equal to 2.5 wt% (10 mL). For comparison, these volumes are much lower than those observed in the presence of a cobalt ferrite catalyst for the same conditions (around 1 L, in many cases generated in shorter times).
Figure 8a presents the kinetic behavior for different NaOH initial concentrations and shows that when NaOH concentration increases from 1.0 to 2.5 wt%, a slight increase in HGR is observed, with values, respectively, equal to 1.13 L min−1 g−1 and 1.89 L min−1 g−1. The maximum hydrogen volume obtained has been shown to be equal to 956.6 mL after only 20 min of reaction using 2.5 wt% NaOH, 2.0 wt% NaBH4, and 50 mg of catalyst at 25 °C. This volume is only 8% lower than the one expected for the consumption of all NaBH4 present (1040 mL) based on the global reaction stoichiometry (Equation (1)). However, higher NaOH concentrations result in an appreciable reduction of process kinetics, as can be seen by the decrease in HGR values. Hydrogen production should be associated with both BH−4 complex reduction with concomitant BH3 formation and BH3 hydrolysis. As pH becomes higher, H+ concentration reduces, making BH3 formation slower, but, on the other hand, it should contribute to the kinetics of water regeneration through B(OH)4 oxidation to B4O7−2, which is kinetically interesting from the BH3 hydrolysis point of view [30]. Moreover, under high pH, precipitation of low-soluble byproducts could also be present, for example, sodium metaborate and sodium tetrahydroxyborate, thereby blocking access to catalytic sites. Another factor that can contribute to the HGR decrease is the reaction medium viscosity increase, which could make it difficult for the NaBH4 molecules to diffuse through the catalytic interface [46].
The H2 generation rate is also strongly affected by the catalyst amount (Figure 8b), as demonstrated by the considerable increase when the catalyst mass increases from 12 mg to 25 mg. A further increase to 50 mg does not change maximum H2 volume appreciably but contributes considerably to the observed kinetics, as maximum H2 production is reached after only 15 min for 50 mg catalyst, in comparison to 35 min for 25 mg. Such an effect could be explained by the availability of active sites, both for adsorption of reactant species and/or involved catalytic reaction steps. The relevance of adsorption for the observed hydrolysis kinetics is supported by the present results achieved with the L–H model, which considers adsorption as an important step before the chemical transformation over the catalyst surface.
Next, NaBH4 initial concentration and possible effects on H2 production kinetics were also addressed (Figure 8c). According to the data, there is a visible positive stimulation of reaction kinetics when NaBH4 concentration increases in the interval from 0.5 to 2.0 wt%. The H2 generation rate increased from 0.257 to 1.89 mL min−1 gcat−1 when the NaBH4 concentration varied in this range. As NaBH4 is the source of BH4, it is understood that an enhancement of its content should have a positive and significant contribution for promoting overall hydrolysis kinetics [30,46]. The further increase in NaBH4 initial concentration from 2.0 to 4.0 wt% contributed to the maximum amount of H2 generated, due to the stoichiometry of the reaction, which for 4.0 wt% reached a value of 1785 mL, higher than the one for 2.0 wt% (956.6 mL). On the other hand, it has a negative impact on kinetics, as understood by a comparison of reaction times in order to achieve maximum H2 production—13 min (2.0 wt%) and 20 min (4.0 wt%). This could be explained through an increase in solution viscosity, resulting in mass-transfer limitations of BH4 species to the active sites available on the catalyst surface [47].
Finally, it can be observed from Figure 8d that the increase in temperature, as expected, has a significant effect, enhancing the H2 generation rate. In this case, the same initial conditions were employed for all tests (2.5 wt% NaOH, 2.0 wt% NaBH4, and 50 mg of catalyst); the same maximum H2 volume is reached, although in shorter reaction times when more thermal energy is available. At 40 °C, for example, the maximum amount of H2 produced (about 956.6 mL) is reached in approximately 10 min. The calculated specific HGR values (H2 generation rate per gram of catalyst) as a function of time at different temperatures are presented in Figure 9. As expected, based on Figure 8, HGR decreases as time evolves, approaching zero for all three temperatures. Such behavior could be explained, for example, by the reduction in the availability of NaBH4 by its consumption during reaction and by the chemical reaction of the catalyst with the NaBH4, which can act as a reducing agent, resulting in phases containing Co and B in the catalyst surface, also serving as a barrier for contact with the active sites. This possibility is corroborated by the preliminary results for the catalyst after three successive reaction cycles during reuse (Figure 10).
A comparison of activity between the synthesized cobalt ferrite spinel-containing catalyst and some important Co-based catalysts reported in the literature is given in Table 2. Maximum specific hydrogen generation rates for experiments conducted with 2.0 wt% NaBH4 and 2.5 wt% NaOH at 10, 25, 40, and 55 °C were equal to 0.64, 1.89, 3.55, and 5.20 L min−1 gcat−1, respectively, suggesting a significant and even better catalytic activity when compared with some earlier reported data (see Table 1). It is worthwhile to mention that the synthesized catalyst (Figure 2 and Figure A1) is actually a physical mixture of a spinel phase (CoFe2O4) and hematite (Fe2O3). Similar catalytic tests were conducted using a pure hematite sample produced through the same methodology as described before, but with only iron cations (Fe3+) in solution during the adsorption step. The amount of H2 generated (using 2.0 wt% NaBH4, 2.5 wt% NaOH, and 50 mg catalyst), in this case, was insignificant or lower than the detectable limit of the employed experimental apparatus. In the case of Fe(III)-sulfate, there is no evidence to date that it has any catalytic activity for the process studied in this article. Therefore, in light of the above observations, the authors think that the observed catalytic activity is associated with the presence of the spinel crystals, also the catalytically active phase in the present context, and could be even enhanced if the spinel phase (CoFe2O4) could be produced in a state of higher purity.
Results obtained during catalyst recycling tests (Figure 10) for a first run (fresh catalyst) at 25 °C were compared with two other successive experiments conducted with the catalyst physically recovered from reaction media. It can be seen that catalytic activity progressively decreases during cycles. Figure 11 shows the XRD catalyst sample signal before and after being exposed three times to the same reaction conditions (50 mg catalyst, 2.5 wt% NaOH, and 2.0 wt% NaBH4).
A preliminary Rietveld analysis was performed in order to achieve a first description of the possible crystalline new phases formed and also to quantify the amount of cobalt ferrite after reuse (Figure A7). Results confirmed the total absence of hematite after reuse and also suggested the presence of a sodium cobalt salt (CoNa4O3), together with B and Co bearing phases (BCo3 and BCo3O5).
These findings strongly suggest that a chemical interaction of cobalt ferrite nanocrystals with boron aqueous complexes present in solution took place, a phenomenon that can be stimulated by the presence of Fe2+ or Fe3+ cations generated previously through hematite leaching under the imposed reaction conditions. This fact, together with the reduction of catalyst mass from one reaction cycle to the other, could explain the significant loss of catalytic activity during reuse (Figure 10). Reduction of catalyst mass can be explained by the strong magnetic character of the sample (Figure A4), mainly associated with CoFe2O4 particles. As a magnetic stirrer was employed, a residual catalyst amount stayed adhered to its surface during each reaction batch, also explaining why the catalyst mass was not constant between consecutive reaction cycles. Therefore, through the use of a mechanical stirrer instead of the magnetic one, catalytic activity could be even further enhanced. The strong magnetic character of the catalyst sample can be clearly depicted in Figure A4, which illustrates the significant attraction of Co-ferrite-containing particles to the externally applied magnetic field.

3.4. Kinetic Modeling

Based on kinetic data obtained at 25 °C for 50 mg catalyst, and concentrations of NaOH and NaBH4 equal to 2.5 wt% and 2.0 wt%, respectively (Figure 8), a preliminary kinetic model for the global process was constructed. According to the stoichiometry of the global process involved (Equation (1)), the volume of H2 at each time was used to calculate the amount of NaBH4 present, and, after a second-order polynomial fit, the NaBH4 consumption rate was computed, whose variation with time was correlated based on the linear model defined by Equation (3). Both the polynomial fit and subsequent linear regression resulted in a quantitative description of the experimental data (Figure 12). The reaction’s global order was equal to 0.584, and the kinetic constant was equal to 0.437, with a very good R2 value of 0.999. The non-integer nature associated with the estimated reaction order should be a direct consequence of the chemical complexity associated with the hydrolysis mechanism [30].
Regarding the L–H model, both the reaction constant (k) and the adsorption constant (K) were simultaneously estimated against experimental data, according to Equation (4), and, according to Figure 13, a very good agreement with experimental data was also observed (R2 = 0.997). In Figure 13, “vkt” denotes the product of the reaction constant against time ( k t ).
Employing the estimated kinetic parameters for computing NaBH4 concentration as a function of time, with both models for the time interval considered during parameter fitting (Figure 14). Clearly, regarding the empirical model, there are some measurable differences between experimental and calculated values, with a mean relative deviation (absolute deviation of calculated and experimental values divided by the experimental value) of 19.9% for a time interval between 0 and 15 min, indicating that the proposed empirical model is not able to describe the complexity of the reaction system under study, even considering data in the region covered during the estimation procedure. On the other hand, for the L–H model, the same is not true, and a mean relative deviation of 2.1% was observed.
According to literature [30,43], indeed, the reaction mechanism should involve, besides participation of different boron aqueous complexes, for example, BH4 or B(OH)4, multiple reaction steps, some of them including direct participation of water molecules. Moreover, the reaction system can also be affected by mass transfer from species in solution to the catalytically active sites. In this context, it should be noted that the L–H model [39] assumes that both adsorption and chemical reaction contribute to the observed reaction rate and was the model that best fit the experimental data used for k and K estimation.
Regarding H2 production conducted with 50 mg catalyst, 2.0 wt% NaBH4, and 2.5 wt% NaOH, temperature was varied, and kinetic data for 10 °C and 55 °C were obtained and were treated in the same way as data at 25 °C. Through an Arrhenius (Figure 15), global activation energies have been determined: 42.2 ± 5.8 kJ mol−1 (L–H), 38.4 ± 5.3 kJ mol−1 (empirical model). In both cases, R2 values very close to unity were observed, being equal to 0.998 and 0.882 for L–H and the empirical model, respectively.
It should be noted that the underestimated precision of these values is consistent with each other and also with earlier data for other cobalt catalysts already reported in the literature (see Table 3). Values for estimated parameters and R2 coefficients can be found in Table A2 and Table A3. The low E a values calculated with the present data for both models could suggest that either diffusion should have a strong influence on kinetics, considering the experimental setup employed [54], or that the reaction path achievable through CoFe2O4 crystal presence is really effective in reducing the activation energy needs for H2 molecule formation over the catalyst surface, topics that could be handled in future publications.
Therefore, our results have demonstrated a technically feasible alternative for H2 production by catalysis in an alkali solution. Future studies should evaluate economic feasibility and scalability towards greener production of H2 for electricity generation and to meet sustainable development goals [56].

4. Conclusions

This study synthesized and characterized a Co-ferrite catalyst for H2 production from NaBH4 aqueous solutions using a novel nanocellulose (TCNF) templated chemical route. Rietveld analysis of the oxide material revealed a Co-spinel phase (CoFe2O4-74.26 wt%), hematite (Fe2O3-24.98 wt%), and residual Fe-sulfate (Fe2(SO4)3-0.76 wt%). TEM showed agglomerates of spheroidal particles (mean diameter: 19.6 nm), and EDS confirmed the uniform spatial distribution of Co, Fe, and O within the same phase. The synthesized sample exhibited notable magnetic behavior, with a saturation magnetization of 37.2 emu g−1 and appreciable magnetic hysteresis, despite the small particle size, likely due to particle agglomeration.
The catalyst demonstrated significant H2 generation potential from NaBH4 in NaOH aqueous solutions. A maximum H2 volume of 1785 mL was achieved (close to the stoichiometric maximum of 2086 mL) within 15 min, using 4.0 wt% NaBH4, 2.5 wt% NaOH, and 50 mg catalyst. At 40 °C, a specific H2 generation rate of 2.84 L min−1 gcat−1 (with 2.5 wt% NaOH and 2.0 wt% NaBH4) was observed, comparable to other Co-based catalysts. Activation energies were determined using empirical (38.4 ± 5.3 kJ mol−1) and L–H (42.2 ± 5.8 kJ mol−1) models, aligning with reported values for similar reactions and cobalt oxide catalysts.
Reuse tests conducted at 25 °C for NaOH and NaBH4 initial concentrations of 2.5 wt% and 2.0 wt% indicated an appreciable reduction in catalytic activity of 84%, considering the first and third reaction cycles. This could be attributed to possible chemical interactions of CoFe2O4 crystals with borohydride ions available in solution, as suggested by Rietveld analysis of catalyst XRD data after reuse, but also to an appreciable reduction of catalyst mass from the first run (50 mg) to the third (27 mg) due to losses resulting from catalyst particles adhering to the magnetic stirrer employed. Our study fits the sustainable development goals for green H2 production.

Author Contributions

Conceptualization, R.N.C.d.S. and M.E.H.M.d.C.; Methodology, L.T.T., M.M., L.L., V.N.P., C.V.-R., S.L. and H.V.F.; Investigation, L.T.T.; Writing—original draft, L.T.T.; Writing—review & editing, L.T.T. and A.B.B.J.; Funding acquisition, review & edditing A.B.B.J. All authors have read and agreed to the published version of the manuscript.

Funding

Author Lucas Tonetti would like to thank CNPQ and CAPES for providing a scholarship grants (CNPQ—141612/2020-7; CAPES—88887.974301/2024-00), as well as for PRH-ANP programa for the finantial support. Author Rogério Siqueira would like to thank FAPERJ for providing financial support to present research project development (E26/211.661/2021).

Data Availability Statement

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

Acknowledgments

A.B.B.J. would like to thank MIT Climate Grand Challenges.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Figure A1. Rietveld refinement for a cobalt ferrite catalyst sample.
Figure A1. Rietveld refinement for a cobalt ferrite catalyst sample.
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Figure A2. Speciation diagram for iron III sulfate thermal decomposition under air atmosphere.
Figure A2. Speciation diagram for iron III sulfate thermal decomposition under air atmosphere.
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Figure A3. Particle size distribution based on TEM analysis.
Figure A3. Particle size distribution based on TEM analysis.
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Figure A4. Magnetization as a function of magnetic field at room temperature of CoFe2O4 ferrite.
Figure A4. Magnetization as a function of magnetic field at room temperature of CoFe2O4 ferrite.
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Figure A5. XPS signal for carbon binding energy range.
Figure A5. XPS signal for carbon binding energy range.
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Figure A6. XPS signal for oxygen binding energy range.
Figure A6. XPS signal for oxygen binding energy range.
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Figure A7. Rietveld preliminary refinement of a catalyst after reuse.
Figure A7. Rietveld preliminary refinement of a catalyst after reuse.
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Figure A8. Magnetic response of catalyst sample particles to an external magnetic field: (a) and with exposure to an external magnetic field (b).
Figure A8. Magnetic response of catalyst sample particles to an external magnetic field: (a) and with exposure to an external magnetic field (b).
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Table A1. H2 generation without catalyst addition under varying NaOH initial concentrations at 25 and 55 °C.
Table A1. H2 generation without catalyst addition under varying NaOH initial concentrations at 25 and 55 °C.
NaOH (wt%)NaBH4 (wt%)Temperature
(°C)
H2 Generated in 1 h (mL)
0225123.0
1 2252.0
22250.0
42250.0
2.525510.0
Figure A9. Polynomial fitting and kinetic data linear regression for temperatures 10, 40, and 55 °C for 50 mg catalyst, 2.5 wt% NaOH, and 2.0 wt% NaBH4.
Figure A9. Polynomial fitting and kinetic data linear regression for temperatures 10, 40, and 55 °C for 50 mg catalyst, 2.5 wt% NaOH, and 2.0 wt% NaBH4.
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Figure A10. Langmuir–Hinshelwood fitting for temperatures at 10 °C (a), 40 °C (b), and 55 °C (c) for 50 mg catalyst, 2.5 wt% NaOH, and 2.0 wt% NaBH4.
Figure A10. Langmuir–Hinshelwood fitting for temperatures at 10 °C (a), 40 °C (b), and 55 °C (c) for 50 mg catalyst, 2.5 wt% NaOH, and 2.0 wt% NaBH4.
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Table A2. Estimated parameters for the empirical model at 10 °C, 25 °C, 40 °C, and 55 °C.
Table A2. Estimated parameters for the empirical model at 10 °C, 25 °C, 40 °C, and 55 °C.
Temperature [°C]Estimated Parameters for Empirical Model
10n0.63
k (g·L−1 min−1)0.0925
R20.997
25n0.584
k (g·L−1 min−1)0.437
R20.999
40n0.704
k (g·L−1 min−1)0.71
R20.996
55n0.597
k (g·L−1 min−1)0.908
R20.998
Table A3. Estimated parameters for the L–H model at 10 °C, 25 °C, 40 °C, and 55 °C.
Table A3. Estimated parameters for the L–H model at 10 °C, 25 °C, 40 °C, and 55 °C.
Temperature [°C]Estimated Parameters for L–H Model
10K (L·g−1)0.0852
k (g L−1 min−1)0.899
R20.999
25K (L·g−1)1.267
k (g·L−1 min−1)1.771
R2
40K (L·g−1)0.237
k (g L−1 min−1)4.553
R20.999
55K (L·g−1)0.071
k (g L−1 min−1)8.917
R20.999

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Figure 1. Hydrogen extraction apparatus for catalyzed NaBH4 hydrolysis.
Figure 1. Hydrogen extraction apparatus for catalyzed NaBH4 hydrolysis.
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Figure 2. XRD pattern of the sample synthesized in an air atmosphere at 500 °C for 2 h.
Figure 2. XRD pattern of the sample synthesized in an air atmosphere at 500 °C for 2 h.
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Figure 3. SEM image (A), low-magnification TEM image (B), high-resolution TEM (HRTEM) image with the spacing between the atomic planes of 0.486 nm, corresponding to the d value of (111) planes of CoFe2O4 (C), and selected area electron diffraction (SAED) pattern of the sample shown in image B with the structure indexed (D) of the sample calcinated at 500 °C for 2 h in air atmosphere. The index in (D) has been obtained with the standard powder X-ray diffraction pattern of CoFe2O4.
Figure 3. SEM image (A), low-magnification TEM image (B), high-resolution TEM (HRTEM) image with the spacing between the atomic planes of 0.486 nm, corresponding to the d value of (111) planes of CoFe2O4 (C), and selected area electron diffraction (SAED) pattern of the sample shown in image B with the structure indexed (D) of the sample calcinated at 500 °C for 2 h in air atmosphere. The index in (D) has been obtained with the standard powder X-ray diffraction pattern of CoFe2O4.
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Figure 4. STEM bright field image (A) and associated EDS maps of Co (B), Fe (C), and O (D) of CoFe2O4.
Figure 4. STEM bright field image (A) and associated EDS maps of Co (B), Fe (C), and O (D) of CoFe2O4.
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Figure 5. XPS signal for the catalyst sample of interest.
Figure 5. XPS signal for the catalyst sample of interest.
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Figure 6. XPS signal for the Fe binding energy region.
Figure 6. XPS signal for the Fe binding energy region.
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Figure 7. XPS signal for the Co binding energy region.
Figure 7. XPS signal for the Co binding energy region.
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Figure 8. Volume of hydrogen generated as a function of time from catalytic sodium borohydride hydrolysis, varying: NaOH concentration (a), catalyst mass (b), NaBH4 concentration (c), and temperature (d).
Figure 8. Volume of hydrogen generated as a function of time from catalytic sodium borohydride hydrolysis, varying: NaOH concentration (a), catalyst mass (b), NaBH4 concentration (c), and temperature (d).
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Figure 9. Specific hydrogen generation rate calculated as a function of time for temperatures varying between 10 and 55 °C.
Figure 9. Specific hydrogen generation rate calculated as a function of time for temperatures varying between 10 and 55 °C.
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Figure 10. Hydrogen evolution rate during catalyst reuse: (a) hydrogen volume as a function of time; (b) specific hydrogen generation rate.
Figure 10. Hydrogen evolution rate during catalyst reuse: (a) hydrogen volume as a function of time; (b) specific hydrogen generation rate.
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Figure 11. XRD patterns of the sample before and after three successive cycles of hydrogen generation from NaBH4 hydrolysis.
Figure 11. XRD patterns of the sample before and after three successive cycles of hydrogen generation from NaBH4 hydrolysis.
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Figure 12. Polynomial fit and linear plot for reaction data at 25 °C, 2% w/v NaBH4, 2.5% w/v NaOH, and 50 mg catalyst.
Figure 12. Polynomial fit and linear plot for reaction data at 25 °C, 2% w/v NaBH4, 2.5% w/v NaOH, and 50 mg catalyst.
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Figure 13. Fitting of the L–H model for reaction data at 25 °C for 2.0 wt% NaBH4, 2.5 wt% NaOH, and 50 mg catalyst.
Figure 13. Fitting of the L–H model for reaction data at 25 °C for 2.0 wt% NaBH4, 2.5 wt% NaOH, and 50 mg catalyst.
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Figure 14. Experimental and calculated NaBH4 concentration with empirical model at 25 °C (2.0 wt% NaBH4, 2.5 wt% NaOH, and 50 mg catalyst): (a) empirical model; (b) L–H model.
Figure 14. Experimental and calculated NaBH4 concentration with empirical model at 25 °C (2.0 wt% NaBH4, 2.5 wt% NaOH, and 50 mg catalyst): (a) empirical model; (b) L–H model.
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Figure 15. Arrhenius plot for global activation (Ea) evaluation: (a) Empirical model; (b) L–H.
Figure 15. Arrhenius plot for global activation (Ea) evaluation: (a) Empirical model; (b) L–H.
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Table 1. Comparison of atomic fractions from XRD and XPS analysis.
Table 1. Comparison of atomic fractions from XRD and XPS analysis.
ElementXPS Atomic Fraction (%)XRD Atomic Fraction (%)
Fe71.375.1
Co29.724.9
Table 2. Comparison of the synthesized catalyst with other reported cobalt-containing catalysts.
Table 2. Comparison of the synthesized catalyst with other reported cobalt-containing catalysts.
CatalystCatalyst TypeNaBH4NaOHSolution Volume [mL]HGR
(L min−1 gcat−1)
Temperature (°C)Ref.
CoFe2O4/oxidized grapheneCobalt ferrite anchored in GO nanoribbons2.0 wt% 2.0 wt%503.735[34]
CoFe2O4/grapheneCobalt ferrite anchored nitrogen and sulfur co-doped graphene architecture0.75 MN/S208.525[33]
CoFe2O4/PdNanospheres modified with Pd0.1 MN/S1074.830[48]
CH3COOH-kaolin-CoBCoB catalyst on acetic acid-activated kaolin support5.0 wt%1.0 wt%101.5330[30]
Co-FeIron and cobalt metal complex2.5 wt%10 wt%100.6930[49]
AC (Ni1/Co3/AC)Core–shell Co-Ni bimetallic oxides on activated carbon10 wt%10 wt%N/S0.6630[31]
Co3O4Hollow microspheres10 wt%2.0 wt% 3.05.3425[50]
M2.5U10Co3O4-400Sheet-like structure with Co3O4 anchored1 wt%N/S502.0425[51]
CNSs@Pt0.1Co0.9Pt and Co anchored in carbon nanospheres0.945 g1.0 g6.08.9430[52]
CoO/CaOCobalt-doped catalyst from chicken eggshell powder biowaste1.0 wt%1 wt%100.4330[53]
Ni-Co-BNickel–cobalt–boride alloy (annealed)0.16 g15 wt%5.02.6028[54]
(Pd0.5-Pt0.5)n(SG)m/Co3O4Single-alloy Pd/Pt quantum dots over Co3O4 nanoparticles1 wt%N/S1008.3025[55]
CoFe2O4/Fe2O3Cobalt ferrite nanocorals 2.0 wt%2.5 wt%101.8925This work
Table 3. Global activation energy for H2 extraction from NaBH4 hydrolysis for different cobalt-containing catalysts.
Table 3. Global activation energy for H2 extraction from NaBH4 hydrolysis for different cobalt-containing catalysts.
CatalystActivation Energy (kJ mol −1)Reference
CoFe2O4/oxidized graphene31.4[34]
CoFe2O4/Pd63.1[48]
CoBFe74.0[22]
CH3COOH-kaolin-CoB49.4[30]
AC (Ni1/Co3/AC)50.0[31]
Co3O4 hollow microspheres42.5[50]
CNSs@Pt0.1Co0.938.0[52]
CoO/CaO16.7[53]
Plasma-treated Co-B-P49.1[28]
Ni-Co-B62.0[54]
CoFe2O4/Fe2O338.4 ± 5.3This work (empirical model)
CoFe2O4/Fe2O342.2 ± 5.8This work (L–H model)
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Teixeira, L.T.; Medeiros, M.; Liu, L.; Park, V.N.; Valente-Rodriguez, C.; Letichevsky, S.; Fajardo, H.V.; de Siqueira, R.N.C.; Maia da Costa, M.E.H.; Botelho Junior, A.B. Sustainable Synthesis of CoFe2O4/Fe2O3 Catalyst for Hydrogen Generation from Sodium Borohydride Hydrolysis. Catalysts 2025, 15, 943. https://doi.org/10.3390/catal15100943

AMA Style

Teixeira LT, Medeiros M, Liu L, Park VN, Valente-Rodriguez C, Letichevsky S, Fajardo HV, de Siqueira RNC, Maia da Costa MEH, Botelho Junior AB. Sustainable Synthesis of CoFe2O4/Fe2O3 Catalyst for Hydrogen Generation from Sodium Borohydride Hydrolysis. Catalysts. 2025; 15(10):943. https://doi.org/10.3390/catal15100943

Chicago/Turabian Style

Teixeira, Lucas Tonetti, Marcos Medeiros, Liying Liu, Vinicius Novaes Park, Célio Valente-Rodriguez, Sonia Letichevsky, Humberto Vieira Fajardo, Rogério Navarro Correia de Siqueira, Marcelo Eduardo Huguenin Maia da Costa, and Amilton Barbosa Botelho Junior. 2025. "Sustainable Synthesis of CoFe2O4/Fe2O3 Catalyst for Hydrogen Generation from Sodium Borohydride Hydrolysis" Catalysts 15, no. 10: 943. https://doi.org/10.3390/catal15100943

APA Style

Teixeira, L. T., Medeiros, M., Liu, L., Park, V. N., Valente-Rodriguez, C., Letichevsky, S., Fajardo, H. V., de Siqueira, R. N. C., Maia da Costa, M. E. H., & Botelho Junior, A. B. (2025). Sustainable Synthesis of CoFe2O4/Fe2O3 Catalyst for Hydrogen Generation from Sodium Borohydride Hydrolysis. Catalysts, 15(10), 943. https://doi.org/10.3390/catal15100943

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