Izabela S Pieta1, Barbara Gieroba2, Grzegorz Kalisz2, Piotr Pieta1, Robert Nowakowski1, Mu Naushad3, Anuj Rathi4, Manoj B Gawande5,6, Anna Sroka-Bartnicka2, Radek Zboril5,7. 1. Institute of Physical Chemistry Polish Academy of Science, Kasprzaka 44/52, 01-224 Warsaw, Poland. 2. Independent Unit of Spectroscopy and Chemical Imaging, Medical University of Lublin, Chodzki 4a, 20-093 Lublin, Poland. 3. Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia. 4. Chemistry Innovation Research Center, R&D, Jubilant Biosys, Knowledge Park II, Greater Noida, Uttar Pradesh 201310, India. 5. Regional Centre of Advanced Technologies and Materials, Czech Advanced Technology and Research Institute, Palacký University, Slechtitelu 27, 77900 Olomouc, Czech Republic. 6. Department of Industrial and Engineering Chemistry, Institute of Chemical Technology, Mumbai-Marathwada Campus, Jalna 431 203, India. 7. Nanotechnology Centre, Centre of Energy and Environmental Technologies, VŠB-Technical University of Ostrava, 17 listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic.
Abstract
This research discusses the CO2 valorization via hydrogenation over the non-noble metal clusters of Ni and Cu supported on graphitic carbon nitride (g-C3N4). The Ni and Cu catalysts were characterized by conventional techniques including XRD, AFM, ATR, Raman imaging, and TPR and were tested via the hydrogenation of CO2 at 1 bar. The transition-metal-based catalyst designed with atom-economy principles presents stable activity and good conversions for the studied processes. At 1 bar, the rise in operating temperature during CO2 hydrogenation increases the CO2 conversion and the selectivity for CO and decreases the selectivity for methanol on Cu/CN catalysts. For the Ni/CN catalyst, the selectivity to light hydrocarbons, such as CH4, also increased with rising temperature. At 623 K, the conversion attained ca. 20%, with CH4 being the primary product of the reaction (CH4 yield >80%). Above 700 K, the Ni/CN activity increases, reaching almost equilibrium values, although the Ni loading in Ni/CN is lower by more than 90% compared to the reference NiREF catalyst. The presented data offer a better understanding of the effect of the transition metals' small metal cluster and their coordination and stabilization within g-C3N4, contributing to the rational hybrid catalyst design with a less-toxic impact on the environment and health. Bare g-C3N4 is shown as a good support candidate for atom-economy-designed catalysts for hydrogenation application. In addition, cytotoxicity to the keratinocyte human HaCaT cell line revealed that low concentrations of catalysts particles (to 6.25 μg mL-1) did not cause degenerative changes.
This research discusses the CO2 valorization via hydrogenation over the non-noble metal clusters of Ni and Cu supported on graphitic carbon nitride (g-C3N4). The Ni and Cu catalysts were characterized by conventional techniques including XRD, AFM, ATR, Raman imaging, and TPR and were tested via the hydrogenation of CO2 at 1 bar. The transition-metal-based catalyst designed with atom-economy principles presents stable activity and good conversions for the studied processes. At 1 bar, the rise in operating temperature during CO2 hydrogenation increases the CO2 conversion and the selectivity for CO and decreases the selectivity for methanol on Cu/CN catalysts. For the Ni/CN catalyst, the selectivity to light hydrocarbons, such as CH4, also increased with rising temperature. At 623 K, the conversion attained ca. 20%, with CH4 being the primary product of the reaction (CH4 yield >80%). Above 700 K, the Ni/CN activity increases, reaching almost equilibrium values, although the Ni loading in Ni/CN is lower by more than 90% compared to the reference NiREF catalyst. The presented data offer a better understanding of the effect of the transition metals' small metal cluster and their coordination and stabilization within g-C3N4, contributing to the rational hybrid catalyst design with a less-toxic impact on the environment and health. Bare g-C3N4 is shown as a good support candidate for atom-economy-designed catalysts for hydrogenation application. In addition, cytotoxicity to the keratinocyte human HaCaT cell line revealed that low concentrations of catalysts particles (to 6.25 μg mL-1) did not cause degenerative changes.
In
recent years, technologies that facilitate the creation of clean
energy from renewable and sustainable resources have attracted increased
attention.[1−3] Much research and pilot work is dedicated to developing
efficient, cost-effective synthetic fuel/biofuel production methods
in a carbon-neutral or carbon-negative manner.[3−9] In search of potential starting candidates for future chemical building
blocks, CO2, one of the greenhouse gases (GHGs), has captured
industrial interest because it is an abundant, inexhaustible, and
inexpensive carbon feedstock.[2,10−13] At the same time, its hydrogenation to energy-rich products can
offer diverse hydrocarbon compounds such as methane, methanol, formic
acid, formaldehyde, and C1–C2 ethers.[7−9,12,14,15] Because of the variety of possible applications, including the rubber
industry, pharmacy, agriculture, and food technology, they are considered
to be highly attractive products. They can also be directly employed
as a hydrogen-rich source/energy vector for fuel cells.[8,15−17]CO2 hydrogenation is a highly exothermic
process, where
the reaction equilibrium is significantly influenced by pressure and
temperature.[8,14,16,18] The hydrogenation reaction research concentrates
mainly on C1 or short-chain products CO, HCOOH, CH3OH, CH4, and C2–C4 olefins.[12,19] For that, two kinds of mechanisms
have been proposed. The first one involves CO2-to-CO conversion
via a reverse water–gas shift (RWGS) reaction and subsequently
CO methanation according to eqs and 2, respectively.[2,14]The second proposed mechanism
considers the direct hydrogenation
of CO2 (eq ) via intermediate species formation, i.e., formate species.[18]Materials development plays
an essential role in extensive technological
innovation for clean energy conversion and storage. Mostly used in
the hydrogenation process, transition-metal-based catalysts are loaded
with active phases and are considered to be toxic materials, with
dedicated disposal protocols.[20] Considering
the vast amounts of spent catalysts worldwide, especially fluid catalytic
cracking (FCC) catalysts, an alternative is needed to prevent extensive
traditional landfill disposal, reduce environmental contamination,
and reduce hazardous solid wastes.[21] Current
research activities focus on a new catalyst preparation methodology
that applies solvent-free protocols ideally, atom economy principles,
new catalyst compositions, catalyst stability, and durability. Both
noble-metal-based catalysts, i.e., Pt, Rh, Ru, and Ir, and transition-metal
monometallic catalysts, i.e., Ni and Ni–V bimetallic systems,
were found to be effective for the CO2 valorization process.[8,14,17,22−25] However, non-noble-metal small clusters or single-atom catalysts
(SACs) for the hydrogenation of CO2 to gas or liquid products,
including fuels/drop-in fuels, remain rare.[5,26,27] For CO2 methanation reactions,
Ni-based catalysts (usually up to 20–30% Ni content) are usually
applied in real-scale industrial lines because of their good catalytic
performance and for economic reasons.[14] However, their application potential is limited, both at high and
low temperatures, because of catalyst coking and Ni nanoparticle (NPs)
sintering and poor activity, respectively.[14] Recently, vanadium-modified Ni 2D nanocatalysts have been reported,
delivering exceptional conversions for low-temperature hydrogenation.[8] Moreover, the NiV catalyst, obtained from a hydrotalcite
precursor, outperformed the best-known catalyst and presenting at
the same time high durability and selectivity (the equilibrium conversion
occurred at 623 K, and the primary product of the reaction was CH4 (>97% CH4 yield)). Copper is another transition
metal considered for hydrogenation reactions both as (1) a Cu-based
catalyst with a high specific surface area and semiconductor properties
(usually up to 60–70% Cu content), i.e., Cu–ZrO2 and Cu/ZnO/ZrO2 for the CO2-to-methanol
reaction, and (2) Cu complexes, i.e., copper(I) complex LCu(MeCN)PF6 for CO2 hydrogenation to formate/formic acid in
the presence of DBU as the base.[28,29] Applying higher
pressure, usually 5–40 atm, supported Cu-based catalysts being
used in various industrially relevant hydrogenation processes, i.e.,
methanol synthesis, the low-temperature water–gas shift, and
various organic compounds’ selective hydrogenation or fine
chemical synthesis.[30] Here, the metal/oxide
interface, the synergy between Cu0 sites and −OH
groups, and basic Lewis sites shape the overall catalyst activity
and selectivity.[31,32] For example, in the case of Cu/ZnO/ZrO2 catalysts, hydrogen adsorption and dissociation are carried
out by Cu sites. The basic sites of ZnO and ZrO2 are responsible
for CO2 adsorption (as a mixture of carbonate and bicarbonate
species). Because both sites are in close proximity to each other,
the reaction is facilitated. The atomic hydrogen spills over from
the Cu0 surface to the surface of basic sites, hydrogenating
the adsorbed carbonate species to formate, methoxide species, and
methanol.[33]For the efficient adsorption
and activation of CO2,
various carriers are investigated that exhibit the desired structural
properties due to oxygen vacancies and reversible valence shifts.
Carbon materials, including doped carbons, graphene oxide (GO), reduced
graphene oxide (rGO), and carbon nanostructures (i.e., carbon nanofibers
CNFs), are also studied because of their exceptional morphological
and chemical properties, adjustable surface chemistry, high thermostability,
electrical conductivity, and high adsorption of hydrogen.[3,34−37] Among those materials, graphitic carbon nitride (g-C3N4) possesses unique chemical properties and great mechanical
and chemical stability. g-C3N4 sites that can
serve as Brønsted acids (N–H sites) and Lewis bases (N
lone electron pairs) are present, which can be further modified by
alkanization or protonation.[15,38] Besides, within this
material, the catalyst nanoparticles can be anchored, and sulfur,
boron, or metal particles (e.g., Fe, Cu, and Ni) can be doped to enhance
the electrical conductivity as well as the photo- and electrocatalytic
activity[15,38] Pristine g-C3N4 is
a semiconductor with a 2.5–2.8 eV band gap. Structurally, g-C3N4 is similar to some degree to the N-substituted
graphite framework with a very high level of nitrogen doping. It comprises
π-conjugated graphitic planes formed from sp2-hybridized
carbon and nitrogen atoms.[13,15,35,37,38] Pristine or doped g-C3N4 is tested in various
applications in hydrogen evolution, the oxidation of C–H, C–C,
N–H bonds, the degradation of organic pollutants, sensing,
bioimaging, and gas storage.[15,38]In this work,
graphitic carbon nitride (g-C3N4) has been used
to prepare a transition-metal-based catalyst (Ni,
Cu, and Cu–Ni) with improved stability in CO2 hydrogenation.
The hypothesis is that, similar to other carbon materials, g-C3N4 offers a variety of sites type and can promote
the reaction by stabilizing metal clusters/nanoparticles and providing
good CO2 adsorption and H2 storage. Moreover,
in the current work, the Cu influence on the catalysts’ selectivity
and durability in CO2 hydrogenation is shown. The catalysts’
performances were compared with those of commercially available best-performing
reference material (NiREF).[39,40] Their toxicities were
evaluated using an in vitro study of keratinocyte
cell lines from histopathologically normal adult human skin. Because
of numerous reports on the cytotoxicity of Cu, Ni catalysts, and their
oxides, we decided to estimate the influence of these particles on
human skin cells (HaCaT line). The morphological changes were determined
microscopically, and metabolic disorders of cells were estimated in
the MTS assay over a wide range of concentrations (3.125–500
μg mL–1). This allowed for assessing the biological
safety of the use of synthesized catalysts particles.
Results and Discussion
Physicochemical
Characterization
The physicochemical
data that apply the procedures described in the SI are presented in Table and Figure . All homemade g-C3N4 samples were characterized
by a roughly constant SBET of ±20
m2g–1, while the SBET of NiREF industrial full-grain samples was very low 2 m2 g–1 (specific for α-Al2O3).
Table 1
Physicochemical Properties Data Resume
of Studied Catalysts
catalyst
description
Ni or/and
Cu content, %
SBET, m2/gcat
H2 consumption T, K
DpNiO, nma
Ni-V/α-Al2O3
NiREF
13.2
2.0
603, 673, >750
<12
g-C3N4
CN
0
179
Cu/g-C3N4
Cu/CN
4
157
650, >730
<20
Cu-Ni/g-C3N4
Cu-Ni/CN
4
161
>730
<4/130
Ni/g-C3N4
Ni/CN
4
167
>730
<1
Obtained from a XRD study.[38]
Figure 1
(A) XRD patterns of the calcined samples with
(B) the assignment
of the corresponding XRD peaks (based on SI(15)). (C) HRTEM and (D) ATR spectra of
CN-supported catalysts.
Obtained from a XRD study.[38](A) XRD patterns of the calcined samples with
(B) the assignment
of the corresponding XRD peaks (based on SI(15)). (C) HRTEM and (D) ATR spectra of
CN-supported catalysts.The XRD patterns of the
catalysts displayed in Figure are dominated by a sharp peak
at 2θ = 27.4°, characteristic of graphitic materials and
ascribed to π-conjugated layers stacked with index (0 0 2).[37,41] Consistent with previous studies, the interlayer spacing of the
stacked nanosheets is 0.32–0.35 nm, and the size range is 1.1–1.5
nm.[38,42,43] Moreover,
in all prepared hybrid catalysts, fine-scale nanostructures have been
evidenced, as all corresponding patterns exhibit the broad features
in the low 2θ region. In Figure B, the peaks assignment of the respective CuO, NiO,
and CuNi(1– phases is summarized. Clear signals from the transition-metal-containing
phase were observed for Cu/CN and Cu–Ni/CN catalysts, suggesting
some extent of segregation and agglomeration of CuO and NiO particles,
which was also confirmed by HRTEM Figure C. For Ni/CN, the data suggested a fine distribution
of Ni/NiO over the CN support. In general, those phases were beyond
the XRD detection limit. The obtained particles sizes are shown in Table . In all studied materials,
2D sheetlike structure with wrinkles characteristic of pure CN (Figure C) was observed via
HRTEM. This structure was unchanged for the samples modified with
Ni, Cu, or both incorporated metals (Figure C), in agreement with the literature.[13,15,38]For the CN support (Figure D) and all investigated
hybrid catalysts, five main regions
were identified as being indicative of (i) −N–H stretching
(3000–3200 cm–1), (ii) terminal C–N
bonds (2100–2700 cm–1), (iii) aromatic conjugated
C–N stretching (1400–1200 cm–1), and
(iv) C=N stretching vibrations (1650–1540 cm–1) and CN heterocycle vibrations of the triazine ring (800–700
cm–1).[15,44,45] The broad bands at 3000–3500 cm–1, most
pronounced for the Cu–Ni/CN catalyst and assignable to the
OH stretching mode ν(OH)−, were due to physisorbed
water on the catalyst surface.[33,36,46]Figure A shows
the optimized structure of g-C3N4. The heptazine
(tri-s-triazine) units are highlighted in pink in Figure A. They are linked
by N–H groups on their edges and bridging −NH–
groups to form condensed heptazine rings. In bare CN, the interplanar
pores and the 6-fold cavity size stay close to 3.2 and ca. 7.3 Å,
respectively.[7,28,29] The dimension of Ni NPs was shown to be <1 nm, indicating possible
Ni insertion and NP stabilization within the CN cavity, as was suggested
before.[38] A similar effect was observed
for Pd and Pt atoms deposited on g-C3N4.[47] The 6-fold cavity of g-C3N4 was estimated by DFT calculation to stabilize Pd and Pt atoms, and
the binding energies were given as −2.17 and −2.95 eV,
respectively. Furthermore, it was shown and evidenced by STM microscopy
that, very similar in chemical structure to CN, the porphyrin cavity
(i.e., comprising N, C and H), although smaller in dimensions compared
to the CN cavity, was able to stabilize Ni and Co.[30] However, within the CN cavity, atoms such as V, Cr, Mn,
and Fe were shown to be more stable than their bulk phases.[7] At the same time, preferential segregation and
metal cluster formation for Co, Ni, Cu, and Zn were reported.[7] This tendency has also been evidenced in this
work by an AFM microscopy study for fresh and after-reaction catalyst
samples. The AFM topography images of the graphitic nitride support
deposited on the HOPG surface are displayed in Figure B for fresh samples and in Figure B′ for after-reaction
samples (samples after catalytic study in the hydrogenation reaction).
Graphitic nitride islands of hundreds of nanometers are evidently
distinguished in the presented images. They are characterized by relatively
smooth surfaces with characteristic linear steps suggesting a layer
structure (with a layer thickness in the range of 5–10 nm).
These typical elements are also visible for all studied samples containing
Cu, Ni, and both transition metals (Figure C–E for Ni/CN, Cu/CN, and Cu–Ni/CN,
respectively). Moreover, the investigated layers consist of another
element with more undefined (cloudlike) character, which can be related
to the amorphous carbon residue. The amount of this phase increases
(is more visible) in the samples after reaction (Figure C′–E′
for Ni/CN, Cu/CN, and Cu–Ni/CN, respectively). Moreover, for
the Cu–Ni/CN catalyst, segregated Cu and Cu–Ni phases
in the form of nanotubes/nanowires were evidenced at sizes of hundreds
of nanometers (Figure F,G).
Figure 2
(A) Optimized structural elements of graphitic carbon nitride:
heptazine (tri-s-triazine) units (marked) linked
by bridging −NH– groups and N–H groups on their
edges forming condensed heptazine rings. (B−G) AFM topography
images of CN before (B) and after reaction (B′), Ni/CN before
(C) and after reaction (C′), Cu/CN before (D) and after reaction
(D′), and Cu−Ni/CN before (E−G) and after reaction
(E′). The films were deposited on HOPG, images were acquired
in air at room temperature.
(A) Optimized structural elements of graphitic carbon nitride:
heptazine (tri-s-triazine) units (marked) linked
by bridging −NH– groups and N–H groups on their
edges forming condensed heptazine rings. (B−G) AFM topography
images of CN before (B) and after reaction (B′), Ni/CN before
(C) and after reaction (C′), Cu/CN before (D) and after reaction
(D′), and Cu−Ni/CN before (E−G) and after reaction
(E′). The films were deposited on HOPG, images were acquired
in air at room temperature.The chemical and structural changes in the CN sample were evaluated
by Raman imaging spectroscopy, and the results are presented in Figure . The typical bands
for sp2 carbon materials were assigned to G (for graphite)
and D (for disordered) at ca. 1570 and 1370 cm–1, respectively.[5,15,38] Using the ID/IG peak intensity ratio, the level of disorder in the bare CN
and hybrid material can be characterized as described previously.[15,16,38] Moreover, from the I750/I705 ratio (or the I543/I479 ratio),
the degree of exfoliation (extent of exfoliation) can be obtained.[38] In all studied catalysts, the I750/I705 ratio indicated the
presence of bulk g-C3N4; i.e., in the case of
pure CN and hybrid Ni/CN, the I750/I705 ratios were ca. 0.2–0.5 but they
increased to 0.4–0.5 for Cu/CN and Cu–Ni/CN samples.
Figure 3
Raman
images of catalyst nanoparticles with a 50 μm pinhole
aperture and 50× magnification. In the ROI region, distributions
of 705 and 750 cm–1 for the D band (1347 cm–1) and G band (1580 cm–1) were visualized
with intensity ratios of extent of exfoliation (I705/I750) and level of disorder
(I1347/I1580). Intensity ratios are presented with 3D images on the right side
of the panel.
Raman
images of catalyst nanoparticles with a 50 μm pinhole
aperture and 50× magnification. In the ROI region, distributions
of 705 and 750 cm–1 for the D band (1347 cm–1) and G band (1580 cm–1) were visualized
with intensity ratios of extent of exfoliation (I705/I750) and level of disorder
(I1347/I1580). Intensity ratios are presented with 3D images on the right side
of the panel.The structural morphology with
the surface samples (Figure ) and its changes for after-reaction
samples were studied by detailed Raman mapping. This allows for visualizing
any chemical changes in the studied material. High scattering for
bands located at 705 and 750 cm–1 was evidenced
for all samples, which are indicative of π-conjugated graphitic
planes in g-C3N4, specifically for the overall
layer numbers, layer-stacking configurations, and interlayer coupling.[15] As shown in Figure , the intensity of the band at 705 and 750
cm–1 was the same within the whole sample (described
as the ratio of bulk coplanar g-h-heptazine-C3N4), confirming the homogeneous distribution of investigated surface
species within gCN material. The derived maps (Figure ), acquired with the pinhole aperture, enabled
the surface samples to be characterized at a specific depth of about
ca. 2 μm. These maps (Figure ) demonstrate periodic spots, and the uniform distribution
of bands confirms the interval variation of the intensity of each
band and thus the homogeneity of the samples throughout the region
as well as the lack of significant changes in morphology for the postreaction
samples. This is consistent with the sample morphology results obtained
by HRTEM and AFM analysis.The temperature-programmed reduction
(TPR) profiles for hybrid
catalysts and reference samples are presented in Figure . The reducibility of the catalysts
was examined in the temperature range of 298–773 K at a ramp
rate of 10 K min–1. In Figure , the H2 consumptions as a function
of temperature are presented. The TPR profiles demonstrated considerable
differences between the CN-supported catalyst samples and the reference
catalyst described elsewhere.[8,16] It can be noticed that
the catalyst support determines the TPR profiles in general, particularly
the onset of the reduction temperature and the amount of hydrogen
consumed. For the NiREF reference catalyst, in the TPR profile, peaks
with maxima at 600, 673, and above 773 K are visible. They can be
linked to the reduction of selected phases, namely, (i) NiO bulk and
small NiO crystallites at ca. 600 K, (ii) noncrystalline NiO species
at ca. 673 K, and (iii) NiAl2O4 above 773 K.[10,11,39] It is recognized that the reducibility
of the sample is strongly governed by metal–support interactions.[3] Free NiO that interacts weakly with the support
is usually readily reducible at lower temperatures (α-type species;
low reduction temperature of 573–623 K), and the nickel species
that are not fully attached to the spinel are reducible at intermediate
temperatures (β-type species; intermediate temperature, 623–773
K). Nickel aluminate spinels (γ-type Ni species) undergo reduction
at high temperatures, i.e., above 973 K.[16]
Figure 4
TPR
profiles of the catalysts (5% H2 in He).
Figure 5
(A) CO2 conversion. (B) MS profiles of CH4 and
CO. (C) Catalyst activity measured as CO2 conversion
at 600 K with (C′) the product distribution for Cu/CN and Cu–Ni/CN.
(D) Concentrations as a function of temperature and for Ni/CN- and
NiREF-supported catalysts (NiREF performance given for comparison).
Reaction conditions GHSV = 1.2 × 104 h–1, 1 atm, 293 K, and CO2/H2 in a 1/5 molar ratio.
TPR
profiles of the catalysts (5% H2 in He).(A) CO2 conversion. (B) MS profiles of CH4 and
CO. (C) Catalyst activity measured as CO2 conversion
at 600 K with (C′) the product distribution for Cu/CN and Cu–Ni/CN.
(D) Concentrations as a function of temperature and for Ni/CN- and
NiREF-supported catalysts (NiREF performance given for comparison).
Reaction conditions GHSV = 1.2 × 104 h–1, 1 atm, 293 K, and CO2/H2 in a 1/5 molar ratio.The observed reduction temperature for CN-supported
Ni (Figure ) differs
from that
reported for NiREF. This discrepancy can most probably be linked to
the catalyst composition, namely, the metal–support interaction
and the presence of small Ni particles <1 nm.[14,16] The peak of H2 consumption approaches maxima above 773
K. This is in good agreement with the literature, where the NiO bulk
and noncrystalline NiO reduction are typically observed at temperatures
of ∼650 and ∼750 K, respectively.[23,48,49] For Cu-containing samples, the peak maxima
related to H2 consumption are less intense. For Cu/CN,
maxima at 625 and ∼750 K can be distinguished, while for Cu–Ni/CN,
the broad signal at ∼750 K occurred again. This can be connected
to noncrystalline CuO and Cu(Ni(1– binary phase reduction in Cu/CN
and Cu–Ni/CN, respectively. The evidenced slight shift of the
reduction peak for Cu/CN can be indicative of a weakening NiO–support
interaction, which improves the Ni reducibility.[50]Usually, one broad band above 523 K is observed for
a Cu-containing
carbon-supported catalyst, indicating CuO to Cu reduction. Typically, this band can be deconvolved into two
α and β peaks, attributable to the highly dispersed CuO species reduction at a lower temperature
(α-peak) and the bulk CuO species
reduction at a higher temperature (β peak), respectively.[51] Apparently, for the Cu/CN sample, studied, the
percentage of the highly dispersed CuO species is significantly lower than that of the bulk species, which
is consistent with microscopic and XRD studies.
Catalyst Activity
The catalytic activity results for
the CN-supported catalysts and NIREF samples reduced at 773 K are
given in Figure .
The calculated equilibrium data for the CO2 methanation
reaction for NiREF are displayed together with the MS profiles of
the reactor exit gases. Before hydrogenation, all catalyst samples
were activated by in situ NiO-to-Ni reduction in a stream of H2. An identical procedure was used for Cu/CN for comparative
purposes. Online MS was used for the continuous monitoring of relevant
C species, such as CH4 (m/z = 16), CO (m/z = 28), CH2O (m/z = 30), CO2 (m/z = 44), and H2O (m/z = 18). For the studied process, the
primary products were selected on the basis of the reaction outlined
in eqs –3. These reactions were taken into account owing to
their higher relevance resulting from the enthalpy values.[8,16] For Ni/CN, CO2 conversion is initiated at 500–520
K, while in Cu-containing catalysts (Cu–Ni/CN and Cu/CN), on
the other hand, it is shifted to temperatures higher than 550 K. It
must be noted that CO2 conversion is kinetically constrained
below 573 K. Because of that, all observed CO2 conversion
profiles are significantly below the thermodynamic equilibrium curve
(Figure A). At the
same time, for the NiREF sample, the activity increases, reaching
almost equilibrium values.For Ni/CN and NiREF catalysts, the
maxima in CO2 conversion and CH4 yield are observed
between 620 and 750 K (Figure A,B) and remain below the thermodynamic limits. Moreover,
for all CN-supported catalysts, RGWS is significant, as indicated
by the respective CO profiles. According to the former study, small
cubic Ni nanocrystals (nanoparticles NPS) are found to be highly selective
in the hydrogenation of CO2 to methane, while larger Ni
particles are reported to be more active in the RWGS reaction leading
to CO formation.[8,14,16] However, this is valid for the particular support, which is characterized
by rather weak basicity, as in the case of the NiREF sample, where
alumina is used as a support.In the cases Cu–Ni/CN and
Cu/CN, although small CuO, the CuNi(1– mixed phase, and NiO crystallites were formed,
the overall activity toward methanation is low (Figure C). CO2 conversions stayed far
below the values allowed by equilibrium even in the higher temperature
range (Figure A).
As shown in Figure A,B compared to the Ni/CN- for Cu–Ni/CN-based catalysts, an
increase in temperature has led to a CH4 formation drop,
which was accompanied by enhanced CO formation.[16] For these catalysts, CO formation commences at 500–550
K and increases with increasing temperature, reaching a maximum above
720 K. During the CO2 methanation process, CO has the potential
to be formed mainly via the reverse water–gas shift reaction
(RWGS) (eq ).[16] Compared to the alumina-supported NiFER catalyst,
for Ni/CN the CN support decreases the selectivity to methane. Besides,
in the presence of a CN support, the RWGS reaction onset was shifted
at a temperature lower by 200 K. Significant amounts of CO were detected
from 600 K for all Ni/CN, Cu–Ni/CN, and Cu/CN catalysts. For
these catalysts, the active phase is composed of very fine and stable
nanoclusters/nanoparticles stabilized within the g-C3N4 cavity, as shown by the XRD study. The NPs size follows the
order Cu (20 nm) > Cu–Ni (4, 130 nm) > Ni (ca. 1 nm).
Besides,
in Ni/CN and Cu/CN, Ni and Cu phases are defined by XRD as mainly
Ni(111) and Cu(111), respectively. For those types of surfaces presented,
the DFT study considered another hydrogenation mechanism for the difference
between surface and subsurface H.[17,52] Over an alumina-supported
catalyst, the CO2 methanation reaction is accepted to occur
through an adsorbed CO intermediate via (i) the transformation of
CO2 to CO prior to methanation or (ii) gas-phase transformation
pathways not first requiring the transformation of CO2 to
CO on the catalyst surface,[53] with the
WGS reaction possibly occurring via (i) the formate, (ii) the redox,
or (3) the carbonate mechanism.[54] Ni(111)
CO2 hydrogenation to a formate intermediate was found to
be more favorable than hydrogenation to a carboxyl intermediate.[17,52] Furthermore, the hydrogenation to formate proceeds through a univalent
structure that is promptly transformed to a bivalent structure.[17,52] The formation of the formate species (HCOO–) involves
at least three bond rearrangements, namely, (i) the cleavage of the
O–H bond followed by (ii) the formation of the O–C and
(iii) C–H bonds.[55] The once-formed
HCOO– is relatively stable because its subhydrogenation
to formic acid (FA) is energetically not as favorable as the formation
of formate. Similar monovalent formate has been shown to be stable
on Cu(111).[32,56] Despite these species being difficult
to further hydrogenate to FA, they undergo almost spontaneous transformation
to bidentate formate, as the energetic barrier for this reaction was
reported ca. 0.06 eV.[17,52] Nevertheless, the presence of
formate species is suggested to decrease the number of available sites
for H2 dissociation as well as partially/completely block
the path for hydrogen surface transport.[57] The formate coverage decreases with increasing temperature because
of formate decomposition.[57,58] Accordingly, two different
pathways have been proposed for that: (i) dehydrogenation producing
CO2 and H2 and (ii) dehydration where CO and
H2O are formed.[12] It was suggested
that CO is usually released during dehydration while terminal OH (OH
groups) are restored.[59] Our activity profiles
over a CN-supported catalyst (Figure A,B) suggest that a similar mechanism can govern the
CO2 hydrogenation because the dehydroxylation process is
observed in a similar temperature range, also with CO present in the
gas phase.[55]The comparison of catalyst
activity at 600 K is shown in Figure C. A relatively high
activity of NiREF catalysts was related to the support basicity and
its CO2 adsorption ability.[14,16] The Cu/CN
catalyst has the lowest activity in CO2 hydrogenation among
the CN-supported samples studied. For Cu-containing catalysts, an
increase in CO selectivity was observed with traces of methanol and
FA species (Figure C′). Cu is considered to be a relatively efficient catalyst
for selective C–O bond hydrogenolysis and an excellent WGS
catalyst, facilitating the conversion of CO to CO2 and
vice versa.[32,56] It is also reported as an efficient
methanol synthesis catalyst, using both CO2 and/or CO as
a carbon source, even at atmospheric pressure.[33]Although the CN catalysts’ activity is much
lower than that
noted for NiREF (Figure C), i.e., with a 40% drop in CO2 conversion for CN-supported
material, the Ni content is far less in all studied CN-supported catalysts.
In comparison to NiREF, Ni content is 70% lower for Ni/CN, Cu–Ni/CN,
and Cu/CN catalysts. Besides, compared to standard commercial hydrogenation
catalysts, the content of Ni is lowered by almost 90%, but still the
CO2 conversion is maintained at ca. 20% at 600 K.[14,16] This, on the contrary, would suggest a much higher atom economy
efficiency for CN-supported catalysts. This issue could also most
likely be connected to the ease of hydrogen diffusion and access to
the Ni or Cu sites, as was mentioned earlier for the 2D g-C3N4 structure with well-described cavities, porous structure,
and interlayer distances.[13,15,19,27,30,38] Similarly, graphitic carbon nitride nanotubes
were considered to be a promising hydrogen sorbent because of their
highly porous structure and doubly bound nitrogen at the edges of
the pores.[60,61] These reasons may be responsible
for facilitating hydrogen diffusion into the interior of the nanotubes,
thus providing active sites for hydrogen adsorption and/or functionalization
with metal catalysts.The stability test for Ni/CN was carried
out at 623 K over 72 h,
and the results were compared with NiREF (Figure D). Ni/CN catalysts exhibit a CO2 conversion barely reaching 50%, with CH4 selectivity
declining from 43.0 to ca. 41.0% over the whole on-stream test (Figure D). The catalysts
were characterized after the 72 h on-stream reaction. An AFM study
showed no relevant changes in support morphology (Figure B′). More amorphous
material was detected in the samples after reaction (Figure C′,D′), suggesting
some extent of coking. However, no agglomeration of active phase/crystallites
was observed.Generally, nickel-based catalysts show high activity
and selectivity
in the CO2 methanation reaction, but they are easily sintered
under the reaction conditions. On the other hand, Cu-based catalysts
are found to be efficient for the hydrogenation of CO2 to
hydrocarbons.[62] Regardless of the type
of catalyst used, at low CO2 conversions, high methanol
selectivity is reported, according to eq . The methanol synthesis described by eq is competitive with RWGS (eq ), and the increase in
reaction temperature favors the endothermic RWGS reaction.A previous study shows that
the Cu facets exposed to the reaction determine the dominant path
of CO2 methanation. On the pristine Cu(100) surface, the
CO2 adsorption was found to be thermodynamically unstable,
yet the Cu(100) surface for the adsorption of CO2 molecules
is reported to be more favorable than the Cu(111) surface.[63] Besides, the preadsorbed H atoms are accessible
at each step of CO2 hydrogenation, as H2 molecule
dissociation proceeds easily over Cu under the reaction conditions.
According to the DFT study, a low activation barrier was predicted
for thermocatalytic CO2-to-methanol reduction on small
Cu nanoclusters. Introducing a second metal, i.e., Zn, Ni, or Co,
onto the Cu surface can enhance the catalytic activity. Here, a promoting
effect was demonstrated for Zn doped on the Cu surface for Zn coverage
below 0.2 mL. The increased yield of methanol production was also
observed for Ni/Cu(100) and Co/Cu(100) surfaces as well as for Rh-,
Pt-, Pb-, and Au-substituted Cu atoms on the top layer of the Cu(111)
surfaces. For Cu–Zn–Zr catalysts, it has been demonstrated
that the CO2–adsorbent interaction can be weakened
by Cu–O bond formation.[63] Therefore,
the low conversion rates and CO2 reduction selectivities
appear to be due to the thermodynamically unstable adsorption of crucial
intermediates such as H2CO and H2COO on the
clean Cu surface. Besides, both Cu+ and Cu0 species
were reported to be essential for methanol selectivity, while the
Cu+/Cu0 ratio determines the specific activity.[64] The second metal that is doped can inhibit or
promote the desired reaction pathway. For example, Zn in the case
of the Cu/ZnO-based catalyst was shown to have a considerable promoting
effect in methanol synthesis, whereas RWGS was not influenced. In
the case of CN-supported catalysts for all systems, the formation
of FA or methanol stayed below 5 ppm, and Ni addition to Cu enhanced
the CO2 methanation and increased the amount of CO formed
at a higher temperature likely via RWGS. This could also suggest that
methane is mainly formed from CO2 rather than CO hydrogenation.
Catalyst Toxicity Study
Influence of Catalysts on the Morphology
of HaCaT Cells
The microscopic images showed that the HaCaT
cells incubated for
24 h with catalyst samples demonstrated dose-dependent alterations
in the morphology and that at the highest concentrations (250 and
500 μg mL–1) there was a reduction in their
number (Figure ).
In contrast, the untreated control cells were characterized by morphology
that was normal and typical for this cell line and a proper high density
(Figures –9). Cells treated with
a low concentration of studied catalysts particles (3.125–25
μg mL–1) elicited only minor morphological
changes compared to the control cells, which showed only a reduced
number of cell-division-dependent spherical floating cells. At higher
concentrations, HaCaT cells also demonstrated medium deviations in
size, shape, volume, and structure, and cytoplasmic vacuolization
occurred (Figure ),
indicating a moderate cellular degeneration process. Some cells are
swelled and even lysed; thus, catalysts could induce the permeability
disorders of the cell membrane. The precipitation of catalyst particles
in the form of aggregates (dark spots) is also visible. These morphological
abnormalities were the most pronounced at a 100 μg mL–1 concentration, but they can also be seen at 25 μg mL–1. The results (images) are presented for the Cu/CN sample, but other
samples caused similar changes, except the CN sample, where no symptoms
of cell degeneration were observed.
Figure 6
Determination of HaCaT cell morphology.
The cells were incubated
for 24 h alone or treated in the presence of increasing concentrations
of nanoparticles. The white scale bar corresponds to 100 μm.
Figure 7
HaCaT cell viability determined using the MTS assay after
24 h
of coculture with increasing concentrations of catalyst particle solutions
compared to control cells cultured in SFM. *p <
0.05, **p < 0.01, and ***p <
0.001 in comparison to the control.
Figure 9
Influence of catalysts on HaCaT cell viability/proliferation
(dose–response
curves). The data are expressed as the mean ± SD, n = 18. The IC50 values are marked with a dashed line. *p < 0.05, **p < 0.01, and ***p < 0.001 in comparison to the control.
Determination of HaCaT cell morphology.
The cells were incubated
for 24 h alone or treated in the presence of increasing concentrations
of nanoparticles. The white scale bar corresponds to 100 μm.HaCaT cell viability determined using the MTS assay after
24 h
of coculture with increasing concentrations of catalyst particle solutions
compared to control cells cultured in SFM. *p <
0.05, **p < 0.01, and ***p <
0.001 in comparison to the control.Influence
of catalysts on HaCaT cell viability/proliferation (log
dose–response curves). The data are expressed as the mean ±
SD, n = 18. The log IC50 values are marked with a
dashed line. *p < 0.05, **p <
0.01, and ***p < 0.001 in comparison to the control.Influence of catalysts on HaCaT cell viability/proliferation
(dose–response
curves). The data are expressed as the mean ± SD, n = 18. The IC50 values are marked with a dashed line. *p < 0.05, **p < 0.01, and ***p < 0.001 in comparison to the control.
Impact of Catalysts on the Viability/Proliferation of HaCaT
Cells
The viability of the HaCaT cells treated with catalysts
was determined with the MTS assay after 24 h of incubation (Figure ). The HaCaT cells
cultured by the addition of catalysts particles (Cu/CN, Cu–Ni/CN,
and Ni/CN samples) in the 3.125–500 μg mL–1 concentration range showing a dose-dependent proliferation decrease
in comparison to the control, which constitutes untreated cells. They
contrasted with cells subjected to the vehicle (CN sample), which
did not induce a cytotoxic effect. A statistically significant effect
(p < 0.05) was observed at concentrations of 50
μg mL–1 in the Cu/CN sample, 12.5 μg
mL–1 in the Cu–Ni sample, and 25 μg
mL–1 in the Ni/CN sample.Interestingly, a
statistically significant increase in cell proliferation was reported
in the case of treatment with the CN sample at the highest tested
concentration (500 μg mL–1). Incubation with
100 and 250 μg mL–1 Cu/CN, Cu–Ni/CN,
and Ni/CN resulted in a decrease in the number of viable/proliferating
HaCaT cells by 76.82–33.63, 21.56–12.47, and 55.48–39.70%,
respectively. A 50% reduction (IC50) in HaCaT cell viability was observed
at catalyst particle concentrations of 157.00 μg mL–1 (log IC50 = 2.196), 40.10 μg mL–1 (log IC50
= 1.603), and 53.93 μg mL–1 (log IC50 = 1.732)
in Cu/CN, Cu–Ni/CN, and Ni/CN samples, respectively. IC50 values
were calculated on the basis of the log dose–response (Figure ) and dose–response
curves (Figure ).
In the CN sample, the determination of IC50 was impossible because
of the lack of 50% growth inhibition. The most pronounced cytotoxicity
of catalysts was observed at doses from 100 to 500 μg mL–1 in tested samples. The HaCaT cells were the most
sensitive to the Cu–Ni/CN treatment.
Figure 8
Influence
of catalysts on HaCaT cell viability/proliferation (log
dose–response curves). The data are expressed as the mean ±
SD, n = 18. The log IC50 values are marked with a
dashed line. *p < 0.05, **p <
0.01, and ***p < 0.001 in comparison to the control.
Contact with catalyst
particles may occur through inhalation, ingestion,
and dermal contact,[65,66] and for this reason, we have
chosen the HaCaT human keratinocyte cell line derived from normal
skin. Ni nanoparticles (NPs) are the most frequently studied among
the metallic NPs in relation to cell culture.[67]Previously, it was found that Ni/NPs induced cytotoxicity
in a
dose-dependent manner in the 10–100 μg mL–1 concentration range in human breast carcinoma MCF-7 cells.[68] The Ni/NPs caused mostly cyto-genotoxicity and
oxidative stress, manifested by ROS production and GSH depletion.[68] It was also demonstrated that nickel oxide nanoparticles
(NiO NPs) at levels above 10 μg mL–1 exhibited
cytotoxicity in human liver cancer HepG2 cells via an apoptotic pathway
and reactive oxygen species (ROS) generation.[69] For Ni/NPs, a concentration of approximately 30 μg mL–1 evoked a concentration-dependent morphology alteration
and a cytotoxic effect after 24 h of treatment with bluegill sunfish
BF-2 cells.[70] Various abnormalities have
been reported there, including lysosomal, mitochondrial, and lactate
dehydrogenase activity and oxidative stress manifested by the escalation
in the peroxidation of lipids (LPO), protein carbonyl (PC), glutathione
sulfotransferase (GST), and glutathione peroxidase (GPX). However,
the catalase (CAT) and total glutathione content (TGSH) were dose-dependent
and diminished when the dose decreased.[70] Pietruska et al. proved that Ni-containing NPs are cytotoxic to
human lung carcinoma H460 and human bronchial epithelial NHBE cells
at doses of up to 20 μg cm2 by activating the HIF-1α
pathway and inducing hypoxia.[71] Interestingly,
metallic Ni nanoparticles showed less toxicity than NiO NPs, whereas
Ni microparticles were nontoxic toward these cells. Furthermore, the
cytotoxicity evoked by all Ni species was associated with the apoptotic
response activation, which can suggest substantial carcinogenic potential
due to the dose- and time-dependent caspases and polypolymerase (ADP-ribose)
cleavage.[71]Nevertheless, Ni NPs
at concentrations of as low as 2 μg
mL–1 induce the occurrence of the cytotoxic effect
(oxidative stress and apoptosis activation) in human lung epithelial
A549 cells.[68,69] It has been reported that in
normal human immortalized bronchial epithelial HBEC3-kt cells Ni and
NiO NPs at a concentration above 10 μg mL–1 caused a release of inflammatory cytokines from exposed macrophages
and inflammation-driven genotoxicity as a consequence.[72] Ni NPs have been shown to enhance platelet-derived
growth factor (PDGF) activity in modulating the production of chemokines
in average rat pleural mesothelial 2 NRM2 cells via a mechanism that
includes ROS generation and prolonged activation of protein kinase
ERK-1,2.[73] Ni NPs caused high toxicity
starting at concentrations of 1–10 μM in human coronary
artery endothelial cells (hCEC) and human coronary artery smooth muscle
cells (hCASMC), disturbing their metabolic activity.[74] In the human cervix epithelioid carcinoma cell line (HeLa),
NiO NPs caused 20% of cells apoptosis.[75] The cytotoxicity was determined in the concentration range of 50–200
μg mL–1 for 16 h, whereas the time was shortened
by up to 2–6 h for the highest (i.e., 400–500 μg
mL–1) concentration. A 400 μg mL–1 concentration of NiO NPs caused the lysis of the cell membrane and
cell detachment from the culture plate surface due to the induction
of apoptosis and necrosis.[75] In leukemia,
K562-cell-functionalized Ni NPs with positively charged groups enhanced
the permeability of the cell membrane, and besides causing apoptosis,
they also induced necrosis.[76] In human
fibroblasts, WI-38 cells demonstrated that nickel cylindrical nanostructures
nanowires (Ni NWs) induced endoplasmic reticulum (ER) stress and,
as a result, ER swelling in concentrations ≥2.25 μg mL–1 after 72 h of incubation.[77]On the other hand, Cu NPs induce mutagenic changes and cause
a
significant increase in the number of binucleated cells with micronuclei.[77] This can be indicative of a genotoxic risk associated
with Cu/NPs exposure because bare Cu/NPs have the potential to promote
DNA strand breaks and cause oxidative DNA damage. The in vitro studies suggest that Cu/NPs can decrease cell viability, leading
to cell death. Thus, the Cu/NPs’ possible neurotoxic potential
and neurodegenerative activity were demonstrated. This effect has
been related to dopamine depletion, the alteration of dopaminergic
gene system expression, and oxidative stress in the neurons of rats.
Apart from that, Cu/NPs exert toxicological effects on the liver,
kidney, and spleen in mice.[77] However,
the IC50 dose for Cu/NPs against ca. 1.71 μg mL–1 has been reported for human skin cancer cell A-375. Cu/NPs reduced
the cell membrane rigidity, causing a genotoxic effect via DNA degradation
and chromosomal condensation. They were found to induce cell cycle
arrest in the G2/M phase, leading to depolarization of the mitochondrial
membrane and finally to cells apoptosis.[78] A similar action model was observed in CuO NPs toward TIC-enriched
PANC1 human pancreatic cancer cell cultures. The IC50 value was 10
μg mL–1.[79] A549
lung adenocarcinoma cells were found to be considerably more sensitive
to the cytotoxic effects of CuO/NPs than HBEC human bronchial epithelial
cells.[80] The in vitro toxic
potential of increasing concentrations of the Cu/NPs obtained using
green chemistry (1–500 μg mL–1) in
the proliferation and morphological characteristics of the human HepG2
cancer cell line was estimated to be 54.5%.[81] However, another study over surface-modified Cu/NPs with broccoli
green extract did not exhibit cytotoxicity in the 0.5–1.5 μM
concentration range for the prostate PC-3 cancer cell lines.[82]Bimetallic Cu–Ni NPs possess antibacterial
activity and
could be used in dental materials, although there are some reports
that monometallic Cu/NPs also exhibit high antibacterial potency.[83−85]The data obtained for the CN-containing material are consistent
with literature data because reduced viability and morphological changes
in HaCaT cells were observed from concentrations of 12.5, 25, and
50 μg mL–1 for Cu–Ni/CN, Ni/CN, and
Cu/CN NPs samples, respectively. Indeed, in most studies that evaluated
the cytotoxicity of Ni NPs or NiO NPs, cells from mammals, especially
cells derived from human lungs, have been involved. This is because
Ni is well recognized to cause several pulmonary diseases, including
fibrosis and lung cancer.[86,87] It is worth remembering
that different cells have different cell viability under comparable
conditions when exposed to Ni and Cu/NPs, but the mode of NP action
seems to be similar. NP-mediated toxicity includes oxidative stress,
inflammation, genetic damage, and the inhibition of cell division,
consequently leading to cell degeneration and apoptosis.[77,88] Generally, Cu/CN NPs were proven to be highly cytotoxic compared
to other metal NPs.[88] The next step should
be to trace the mode of action of Ni and Cu/CN NPs in HaCaT cells
and to determine whether in the case of this cell line NPs induce
the same effects.By exerting cytotoxicity on cancer cells,
they exhibit great potential
in oncology clinical and (bio)medical applications; they may constitute
promising drug carriers by enhancing the proper cellular uptake.
Conclusions
The technology needed to valorize CO2 via hydrogenation
has been identified as a possible pathway to transform one GHG gas
into value-added products such as chemicals, fuel feedstocks, and
drop-in fuel. This makes CO2 a likely alternative in climate
change mitigation. Although the CO2–methanol process
is recognized as a reasonably well-established and mature approach,
a vital concern for increasing the process efficiency is to identify
a durable and nontoxic catalyst that ideally demonstrates high low-temperature
activity.The results presented by 2D graphitic carbon nitride-supported
catalysts revealed a stable performance. All studied hybrid catalysts
with active phase loading of ∼4 (wt %) were active in the CO2 hydrogenation reaction. Although the Ni loading in Ni/CN
is lower by more than 90%, compared to the reference NiREF catalyst
a conversion of close to 20% was achieved at ∼623 K, with CH4 being the primary reaction product (>80% CH4 yield).Moreover, considering the toxicological profiles,
the hybrid catalysts
provide a direction for catalyst design with less toxicity to the
environment and health. Twenty-four hours of treatment with Cu/CN,
Cu–Ni/CN, and Ni/CN reduced the viability of HaCaT keratinocytes
cells, causing degenerative morphological changes. Only CN bare g-C3N4 did not disturb the appropriate cell structure
but positively affected their proliferation, even at the highest studied
concentrations. Surprisingly, it shows great potential for clinical
and (bio)medical applications in the fields of oncology and pharmacy
as a drug carrier. All samples were nontoxic toward HaCaT cells at
a concentrations of 6.25 μg mL–1. The highest
toxicity was found for the Cu–Ni/CN sample, which caused a
decrease in the viability of cells at a concentration of 12.5 μg
mL–1. At the same time, the least toxic was the
Cu/CN sample, where the antiproliferative effect was present at a
50 μg mL–1 concentration.
Authors: Priti Sharma; Subodh Kumar; Ondrej Tomanec; Martin Petr; Johnny Zhu Chen; Jeffrey T Miller; Rajender S Varma; Manoj B Gawande; Radek Zbořil Journal: Small Date: 2021-03-19 Impact factor: 13.281