Vanessa Solsona1, Silvia Morales-de la Rosa2, Oreste De Luca3, Harrie Jansma1,4, Bart van der Linden1,4, Petra Rudolf3, José M Campos-Martín2, María Emma Borges5,6, Ignacio Melián-Cabrera1,6. 1. DelftChemTech, Faculty of Applied Sciences, Delft University of Technology, Julianalaan 136, 2628 BL Delft, The Netherlands. 2. Sustainable Energy and Chemistry Group, Instituto de Catálisis y Petroleoquímica, CSIC, Marie Curie, 2 Cantoblanco, 28049 Madrid, Spain. 3. Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands. 4. Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands. 5. Department of Chemical Engineering, School of Engineering and Technology, University of La Laguna, Avenida Astrofísico Francisco Sánchez, s/n, P.O. Box 456, 38200 San Cristóbal de La Laguna, S/C de Tenerife, Spain. 6. Applied Photochemistry and Materials for Energy Group, University of La Laguna, Avenida Astrofísico Francisco Sánchez, s/n, P.O. Box 456, 38200 San Cristóbal de La Laguna, S/C de Tenerife, Spain.
Abstract
This work reports initial results on the effect of low concentrations (ppm level) of a stabilizing agent (2,6-di-tert-butyl-4-methylphenol, BHT) present in an off-the-shelf solvent on the catalyst performance for the hydrogenolysis of γ-butyrolactone over Cu-ZnO-based catalysts. Tetrahydrofuran (THF) was employed as an alternative solvent in the hydrogenolysis of γ-butyrolactone. It was found that the Cu-ZnO catalyst performance using a reference solvent (1,4-dioxane) was good, meaning that the equilibrium conversion was achieved in 240 min, while a zero conversion was found when employing tetrahydrofuran. The deactivation was studied in more detail, arriving at the preliminary conclusion that one phenomenon seems to play a role: the poisoning effect of a solvent additive present at the ppm level (BHT) that appears to inhibit the reaction completely over a Cu-ZnO catalyst. The BHT effect was also visible over a commercial Cu-ZnO-MgO-Al2O3 catalyst but less severe than that over the Cu-ZnO catalyst. Hence, the commercial catalyst is more tolerant to the solvent additive, probably due to the higher surface area. The study illustrates the importance of solvent choice and purification for applications such as three-phase-catalyzed reactions to achieve optimal performance.
This work reports initial results on the effect of low concentrations (ppm level) of a stabilizing agent (2,6-di-tert-butyl-4-methylphenol, BHT) present in an off-the-shelf solvent on the catalyst performance for the hydrogenolysis of γ-butyrolactone over Cu-ZnO-based catalysts. Tetrahydrofuran (THF) was employed as an alternative solvent in the hydrogenolysis of γ-butyrolactone. It was found that the Cu-ZnO catalyst performance using a reference solvent (1,4-dioxane) was good, meaning that the equilibrium conversion was achieved in 240 min, while a zero conversion was found when employing tetrahydrofuran. The deactivation was studied in more detail, arriving at the preliminary conclusion that one phenomenon seems to play a role: the poisoning effect of a solvent additive present at the ppm level (BHT) that appears to inhibit the reaction completely over a Cu-ZnO catalyst. The BHT effect was also visible over a commercial Cu-ZnO-MgO-Al2O3 catalyst but less severe than that over the Cu-ZnO catalyst. Hence, the commercial catalyst is more tolerant to the solvent additive, probably due to the higher surface area. The study illustrates the importance of solvent choice and purification for applications such as three-phase-catalyzed reactions to achieve optimal performance.
Catalyst stability and deactivation are fundamental properties
that largely determine industrial applicability. In importance, stability
can be considered comparable to selectivity. However, it tends to
receive less attention than new selective synthesis routes or improved
productivity. A high yield combined with stability is what makes a
catalyst a case for further consideration in a development program.[1] Heterogeneous catalysts can deactivate in a variety
of manners such as poisoning (i.e., irreversible chemisorption), fouling
or coking, thermal degradation (sintering or evaporation), mechanical
strength-related phenomena, and corrosion-leaching under the reaction
medium. There are in-depth studies on heterogeneous catalyst’s
deactivation, among which to cite a few,[2−9] mostly on gas-phase reactions.Fundamentally, there exists
a better understanding of gas–solid
(two-phase) reactions than that of gas–liquid–solid
reactions (also denoted as three-phase reactions). This can be justified
by the higher complexity of the interaction between the liquid and
the solid.[10−17] That also means that deactivation studies for these reactions are
scarce. Among the possible deactivation mechanisms in three-phase
reactions, there exists an area that has been hardly documented: the
effect of additives present in the solvent that may pass inadvertently
for the experimenter.In three-phase reactions, a solvent is
used to dilute the produced
heat from exothermal reactions. The solvent is usually employed in
a large quantity. This means that if it contains an impurity, even
at ppm level, the absolute amount can be comparable or higher than
the concentration of active sites in the employed heterogeneous catalyst.
A normal practice is to employ solvents without extensive additional
treatment, though well-documented purification protocols exist.[18,19] This study discusses the effect of low-concentration additives in
commercial solvents. These additives are incorporated in the final
formulation and are antioxidants that aim to prevent autoignition
or autopolymerization during transportation and handling. The reason
for their use is health and safety (H&S) for safe transportation
from the production site to the final consumer. The bottom line is
that such additives can have a negative impact on applications such
as heterogeneous catalysis.To illustrate this concept, we studied
an industrial catalysis
case study. 1,4-Butanediol (BDO) is a commodity of interest due to
wide-ranging applications in the chemical industry. Most of BDO is
produced by the multistage Reppe process.[20] Alternatives to Reppe’s process have been proposed.[21−23] Lately, a butane-based process was developed via maleic anhydride
esterification. A more process-attractive route would be the direct
hydrogenation of maleic anhydride, using noble metals, copper chromites,
and Cu–ZnO catalysts.[24−27]The original objective of this study was to
investigate alternative
solvents for the liquid-phase hydrogenation of γ-butyrolactone
(GBL), which constitutes one of the steps in the maleic anhydride
(MA) to 1,4-butanediol process via succinic anhydride (SA). The reaction
is sketched in eq .
Typically, 1,4-dioxane is used as a solvent; for simplicity, it will
be denoted as “dioxane” from now onwards. However, dioxane
has several disadvantages from the H&S point of view. The U.S.
EPA classifies dioxane as “likely to be carcinogenic to humans”
by all routes of exposure.[28]To tackle this
problem, we studied alternative
solvents. Solvent selection for a three-phase reaction can be done
by the inertness (i.e., weak adsorption on the active sites), safety,
and price. Tetrahydrofuran (THF) fulfills better such requirements
than dioxane. THF has a better H&S ranking as it has been classified
as “suggestive evidence of carcinogenic potential”.[29] In the CHEM21 solvent selection guide,[30] dioxane was rated as “hazardous”,
whereas THF scored better and was rated as “problematic”.
The former means “the constraints on scale-up are very strong.
The substitution of these solvents during process development is a
priority”, whereas the latter (problematic) means “these
solvents can be used in the lab or in the Kilolab, but their implementation
in the pilot plant or at the production scale will require specific
measures, or significant energy consumption”. Therefore, THF
is a better option for replacing dioxane from the H&S perspective.To assess THF’s suitability, both solvents were compared
in the GBL hydrogenation using a Cu–ZnO catalyst; the latter
has been claimed to be active and selective for this reaction.[24−26] In the course of such study, we found surprising results: the negative
effect of a stabilizing additive (2,6-di-tert-butyl-4-methylphenol)
present in the commercial THF. Studying this phenomenon therefore
became the scope of the present work. Preliminary insights are provided
on this undocumented deactivation, which can also play a role in other
applications where additives are present. The study was conducted
on two catalytic systems, a lab-made binary CuO–ZnO and a commercial
CuO–ZnO–MgO–Al2O3, upon
reducing the Cu species.
Experimental Methods
Materials
The commercial CuO–ZnO–MgO–Al2O3 material was purchased from Alfa Aesar (ref
number: 45776) and has a composition of CuO (60–68 wt %), ZnO
(22–26 wt %), Al2O3 (8–12 wt %),
and some MgO (1–3 wt %), according to the supplier. Table S1 describes the chemicals employed for
the synthesis of the binary catalyst. Tables S2 and S3 list the chemicals employed for the catalytic testing
of the binary Cu–ZnO and commercial catalysts, respectively.
All employed gases were of high purity, >99.995 vol %. Note that
the
commercial catalyst, upon reduction for the reaction, is denoted as
Cu–ZnO–MgO–Al2O3; however,
XPS revealed the presence of unreduced Cu(II) species. For simplicity,
the catalyst was denoted as Cu–ZnO–MgO–Al2O3 since the reduced Cu species are involved in
the active sites.
Preparation of the Binary
Catalyst
The binary CuO–ZnO oxide catalyst precursor
was synthesized
by coprecipitation at a constant pH of 7 (±0.1) using a tailor-made
rig, using a similar procedure described by Melian-Cabrera et al.[31] The process flow diagram can be found in Figure S1. A mixed aqueous solution of Cu(II)
and Zn(II) nitrates and an aqueous solution of Na2CO3 (2 M) were added simultaneously, but at different rates,
into a vessel containing 300 mL of distilled water at 70 °C.
The concentration of the metal nitrates was ca. 1 M, whereas the individual
concentrations of copper and zinc nitrates were adjusted to a copper
molar fraction of 0.7 (Cu/(Cu + Zn)). The suspension was stirred and
kept at pH ∼7 by automatically controlling the flow rate of
the sodium carbonate solution, whereas the metal nitrate solution
was pumped at a rate of ca. 2.5 mL/min using a peristaltic pump. The
final slurry was aged under stirring at 70 °C for 1.5 h.The solid was recovered by filtration and thoroughly washed with
Milli-Q water to remove impurities such as sodium to be below 0.05
wt % in the calcined material. Finally, the solid was dried overnight
at 90 °C and calcined in air at 350 °C for 6 h. The sample
was labeled as Cu70Zn30, where 70 indicates
the Cu mole percent and 30 is the Zn mole percent. The catalyst was
activated before the reaction; the procedure is described in Sections and 2.4.2. Figure S2 illustrates
the steps for the synthesis and activation as a block diagram.Two additional materials were prepared and used in this study for
the X-ray diffraction (XRD) phase assignment of the ternary catalyst,
namely, two oxide-based materials having a metal composition of Cu5Zn95 and Cu50Zn50. They were
analyzed by XRD after ex situ calcination. The preparation was identical
to the Cu70Zn30 described above.The composition
of the resulting oxidic materials after calcination
was controlled by inductively coupled plasma optical emission spectrometry
(ICP-OES) after digesting the solid in a HNO3 solution.
Catalyst Characterization
Nitrogen
Adsorption Measurements
The N2-adsorption measurements
(−196 °C) were
measured in a Quantachrome Autosorb-6B apparatus. Prior to the analysis,
the samples were dried in vacuum at 200 °C for 16 h. The specific
surface area was calculated by the Brunauer–Emmett–Teller
(BET) method from the N2 adsorption isotherms. The total
pore volume (VT) was determined from the
desorption branch at a P/P0 ∼ 0.97. The pore size distributions were obtained using the
Barrett–Joyner–Halenda (BJH) model. For all of these
methods, the recommendations given elsewhere were followed.[32] The texture of the commercial unreduced CuO–ZnO–MgO–Al2O3 catalyst was obtained in a Micromeritics ASAP
2420 equipment using a similar experimental protocol as described
above.
X-ray Diffraction
The powder XRD
patterns were acquired in a Bruker-Nonius D-5005 diffractometer equipped
with a graphite monochromator using a Cu Kα X-ray source. Data
were collected in the range of 20–70 (2θ, degrees) with
a step size of 0.02° and an accumulation time of 2 s (step mode).
Identification of the crystalline phases was done using the JCPDS
database. The Cu particle size was estimated by Scherrer’s
equation (eq )[33]where K is a constant parameter
that depends on the experimental conditions, λ is the wavelength
of the incident X-ray (Cu Kα), θ is the angular position
of the employed reflection, and the expression () is the corrected line broadening at half
the maximum intensity; B is the line broadening at
half the maximum intensity and b is a factor that
corrects instrumental deviation on the order of ∼10–6 rad. This approach is used for Gaussian-type peak line shapes as
in this case.[34]The XRD patterns
for the commercial Cu(O)–ZnO–MgO–Al2O3 catalysts were obtained in an X’Pert Pro PANalytical
diffractometer equipped with a Cu Kα radiation source (λ
= 0.15418 nm) and an X’Celerator detector based on real-time
multiple strip (RTMS). The samples were ground and placed on a stainless
steel plate. The diffraction patterns were recorded in steps over
a range of Bragg angles (2θ) between 4 and 90° at a scanning
rate of 0.04° per step and an accumulation time of 20 s. Diffractograms
were analyzed with X’Pert HighScore Plus software.
Determination of the Cu and ZnO Surface
Areas
The copper surface area for relevant binary catalysts
was measured by pulsed-N2O chemisorption at room temperature;[35] this temperature avoids the oxidation of bulk
Cu. Prior to analysis, the samples were reduced at 275 °C for
2 h in a flow of 20 vol % H2 in helium. After the reduction
step, the gas mixture was changed into pure helium, and the sample
was left at the same temperature for another 2 h to remove the physisorbed
H2 before it was cooled down. During the chemisorption
experiments, known amounts of N2O gas were pulsed into
the carrier gas that flows through the sample bed. At the surface,
metallic Cu was oxidized with the formation of Cu2O and
the release of N2 that was quantified with a thermal conductivity
detector (TCD). The chemisorption stoichiometry was assumed to be
O/Cus = 0.5. The unreacted N2O was frozen out
with a cold trap. The pulsing of N2O was continued until
no N2 was released. The total amount of N2 was
estimated by the cumulative area under the chromatographic peaks.
The atomic surface density for Cu was assumed to be 1.46 × 1019 atoms/m2; this value was proposed by Evans et
al.,[35] assuming that the surface contains
the three planes, (100), (110), and (111), equally present. The ZnO
surface area was estimated, as an approximation, using the pulsed-N2O chemisorption data and assuming that the Cu/Zn ratio remains
equal on the surface, which is a good assumption since these catalysts
are bulky.
Temperature-Programmed
Reduction
The reductive activation of the binary catalyst
was studied by temperature-programmed
reduction (TPR). The experiment was performed in a tailor-made fixed-bed
reactor (4 mm id) setup using pure gases (Figure S3). The reducing mixture (7.5 vol % H2 in Ar) was
obtained by mixing pure gases with mass flow controllers. The temperature
ranged from 25 up to 600 °C with a heating rate of 10 °C/min.
Samples were diluted with SiC (80 mesh) to improve the heat transfer
in the catalyst bed. Since the reduction profiles can be greatly perturbed
by the experimental conditions, the operating variables were chosen
in such a way that the line profile, peak position, peak resolution,
and H2 consumption are measured accurately. The P parameter[36] was employed as
a criterion, which is an amplification of a previous one established
by Monti and Baiker (parameter K),[37] since it considers the heating rate. The quantity, given
by eq , should be as
low as possible within the experimental sensitivity and, in any case,
lower than 20 K. Initial experiments resulted in a high signal-to-noise
ratio, and the resolution was insufficient to extract reliable information
from the peak profiles. The experiments were then redone using the P-criteriawhere S0 is the
initial amount of reducible oxide species (μmol); C0 is the initial hydrogen concentration (μmol/mL); V* is the total flow rate (mL/s), and β is the heating
rate (K/s). Calibration of the produced H2 was done using
a highly pure commercial CuO. The TPR pattern for the commercial CuO–ZnO–MgO–Al2O3 catalytic material was acquired in a Micromeritics
TPR 2900 apparatus with a TCD detector using a similar experimental
protocol as described above.
X-ray photoelectron
spectroscopy (XPS) data were collected using
a Surface Science SSX-100 ESCA instrument with a monochromatic Al
Kα X-ray source (hυ = 1486.6 eV). The pressure in the
measurement chamber was maintained at 1 × 10–9 mbar during data acquisition, while the electron take-off angle
with respect to the surface normal was 37°. The analyzed spot
had a diameter of 1000 μm, and the energy resolution was set
to 1.26 eV for both the survey spectra and the detailed spectra of
the Al 2s/Cu 3s, C 1s, Cu 2p, O 1s, and Zn 2p core level regions.
Furthermore, an electron flood gun in optimized conditions was used
during the XPS measurements to compensate for charging effects. Binding
energies are referenced to the C 1s peak centered at a binding energy
(BE) of 284.8 eV.[38] All XPS spectra were
analyzed using the least-squares curve-fitting program Winspec (developed
in the LISE laboratory of the University of Namur, Belgium). Deconvolution
of the spectra included a Shirley baseline subtraction and fitting
with a minimum number of peaks consistent with the chemical structure
of the sample, considering the experimental resolution. The profile
of the peaks was taken as a convolution of Gaussian and Lorentzian
functions; peak positions are reported ±0.1 eV when deduced from
a fit. The uncertainty in the peak intensity determination is 2% for
the Cu 2p, O 1s, and Zn 2p core level lines, 3% for the C 1s, and
4% for the Al 2s/Cu 3s core level regions.The (Cu0 + Cu+)/(Cu + Zn + Al) XPS-derived parameter was employed
as an alternative to pulsed-N2O data for the commercial
catalyst interpretation. It is known that XPS cannot distinguish between
Cu0 and Cu+ but for this particular case, this
parameter can be a good approach to assess changes in surface Cu0. TPR revealed that CuO-like domains reduce into Cu0 at 240 °C. Since the fresh commercial catalyst was reduced
at this temperature prior to the reaction, such species are in the
Cu0 state. This was confirmed by XRD by the disappearance
of the CuO and appearance of Cu0 in all spent catalysts.
During the handling and analysis of the spent catalysts, it is possible
that some Cu0 oxidizes into Cu+ at the surface,
but this fraction will be equal for all of the spent catalysts. Therefore,
it can be assumed that changes in the XPS contribution for Cu0 + Cu+ for the spent catalysts are due to changes
in Cu0 and comparable to the use of N2O data.
Having said that, the numerical values from the N2O data
cannot be quantitatively compared to this parameter. Therefore, we
compared values of this parameter for the commercial catalyst.
Catalytic Tests
Binary
Catalyst Testing
The hydrogenation
experiments were carried out in a semibatch autoclave 500 mL reactor
suite equipped with a gas-induced stirrer (Figure S4, Premex AG). A summary of the reaction conditions is given
in Table S4. Above the reactor, an injection
vessel was located to supply the reactant as soon as the reaction
temperature was reached. The catalyst was first activated ex situ in a dedicated setup for pretreatment; it was reduced
in a flow of 7 vol % H2/N2 (100 mL/min STP)
at a heating rate of 5 °C/min to 240 °C for 2 h. The reduced
catalyst was discharged into the stainless steel reactor containing
150 mL of the solvent; this delicate process was carried out within
a protector glovebox (nitrogen pressure of 0.35 MPa) to avoid the
oxidation of the catalyst by exposure to the ambient air. The activated
catalyst was prevented from oxidation as it was surrounded by the
solvent. The reactor was tightened and successively purged and vented
with N2 and H2 at room temperature. The reactor
was preheated under a hydrogen atmosphere (ca. 1 MPa) to the desired
temperature. At that time, the γ-butyrolactone/THF mixture (5
mL γ-butyrolactone and 45 mL THF) was injected into the reactor
through the reactant feeding system, after which the pressure was
immediately adjusted to the experimental conditions, which corresponds
to t = 0. The reactor was operated at a pressure
of 5.0 MPa and 180 °C. The gas-induced stirrer was operated at
a relatively high speed of 1500 rpm to guarantee a high gas–liquid
interfacial area. At various time intervals, liquid samples were withdrawn
from the reactor. These samples were analyzed offline using a Chrompack
CP 9001 gas chromatograph equipped with a CP Sil8 CB column, a CP
9050 liquid sampler, and a flame-ionization detector (FID).
Commercial Catalyst Testing
The
commercial catalyst was tested in an equivalent reactor rig as described
above and sketched in Figure S4, with the
main differences being (1) the nominal size of the reactor was 1 L;
for this reason, the amounts of reagents, solvents, and catalysts
were increased to 450 mL of solvent, 11.25 mL of γ-butyrolactone,
and 6.75 g of catalyst; (2) the catalyst was reduced in situ in the reactor before the reaction. The reduction of the catalyst
consisted of placing the oxidic catalyst inside the reactor. The closed
reactor was purged a few times with nitrogen to remove the atmospheric
gas. Finally, the catalyst was reduced under a flow of 10 vol % H2/N2, by heating it from room temperature with a
heating rate of 5 °C/min to 240 °C, and then keeping that
temperature for 2 h. Then, the temperature was decreased to 180 °C,
the system was pressurized with hydrogen, and then the reagent solution
was gradually added using an injection vessel.
Results and Discussion
Model Catalyst
The first tests were
carried out on a lab-prepared model Cu–ZnO catalyst. Below,
the main physicochemical features of the resulting material are described,
showing that the material’s quality is acceptable before performing
the catalytic tests. The CuO–ZnO catalyst precursor with a
Cu/Zn mole ratio of 70:30 was prepared by coprecipitation. The dried
hydroxycarbonate was calcined, and the oxidic material was characterized
by chemical analysis, N2 physisorption, XRD, and TPR. The
material displays a N2 physisorption isotherm having low-order
meso- and macroporosities (Figure A). A BET surface area of 19 m2/g and a
pore volume of 0.30 cm3/g were found. The BJH pore size
distribution was located at ∼30 nm (Figure B) though the pattern indicates the existence
of macropores as well (i.e., pores larger than 50 nm). The XRD profile
(Figure C) shows CuO
and ZnO as main phases; the relative intensity between the phases
agrees with the Cu/Zn ratio. The TPR pattern reveals a reduction of
the CuO starting at ∼160 °C and finishing at ∼270
°C (Figure D),
with two maxima at 217 and 240 °C. Reduction of bulk ZnO occurs
only at higher temperatures, but the baseline drift starting at 350
°C can be assigned to the start of the ZnO reduction (ZnO domains
in interaction with Cu) and the decomposition of a residual carbonate
phase.[39,40] The quantification of the TPR profile reveals
that all Cu(II) was reduced, with a H2/M molar ratio of
1.16. The higher value than unity is due to the partial reduction
of ZnO; ZnO species in close interaction with Cu can form a Cu–Zn
brass.[41] TPR data also give a basis for
selecting the reductive conditions to activate the CuO–ZnO
prior to the reaction. Based on the TPR pattern, a temperature of
240 °C was chosen to activate the catalyst, which corresponds
to the peak maximum of the second, and final, reduction step. Based
on the above, the lab-prepared CuO–ZnO catalyst precursor (Cu70Zn30) shows good features and is appropriate to
assess the solvent effect in the GBL hydrogenation.
Figure 1
Characterization of the
calcined Cu70Zn30 oxide catalyst precursor.
(A) Nitrogen adsorption isotherms (−196
°C). (B) BJH pore size distribution derived from the N2 sorption data. (C) XRD diffraction pattern. (D) Temperature-programmed
reduction.
Characterization of the
calcined Cu70Zn30 oxide catalyst precursor.
(A) Nitrogen adsorption isotherms (−196
°C). (B) BJH pore size distribution derived from the N2 sorption data. (C) XRD diffraction pattern. (D) Temperature-programmed
reduction.The performance of the Cu70Zn30 catalyst
was evaluated in the GBL hydrogenation using dioxane as the solvent
(Figure A). GBL was
selectively converted (100% selectivity) into BDO. The plateau with
an offset indicates that the reaction is equilibrium-limited. When
dioxane was replaced by THF (a commercial THF containing the BHT additive,
denoted as type A in this study), the outcome was completely different
(Figure B). No activity
was observed. While the physical appearance of the catalyst under
dioxane looked normal (a black material), in the case of THF, the
reddish color indicated that Cu in the catalyst might have sintered.
The color may also come from polymeric residues, as claimed elsewhere;[27] however, elemental analysis of the spent catalyst
(using THF, type A) did not show differences as compared to that of
a control case using dioxane, both ca. 3 wt % carbon.
Figure 2
Binary Cu–ZnO
catalyst performance. Hydrogenation of γ-butyrolactone
over Cu–ZnO. (Left) Concentration profiles of the reactants
and products as a function of time: γ-butyrolactone (filled
circles), 1,4-butanediol (empty circles), and carbon balance (filled
squares). Reaction conditions are given in Table S4. Solvents: (A) dioxane and (B) THF (type A). (Right) Appearance
of the catalyst after reaction. The physical appearance of the catalyst
under dioxane looked normal, a black-colored material. For the THF’s
catalyst residue (THF, type A), the color indicated that the Cu catalyst
might have sintered. The green-colored residue was unfamiliar to us.
In panel (B, right), the solvent was removed and the catalyst was
dried to better observe its appearance after reaction. GBL, γ-butyrolactone;
BDO, 1,4-butanediol.
Binary Cu–ZnO
catalyst performance. Hydrogenation of γ-butyrolactone
over Cu–ZnO. (Left) Concentration profiles of the reactants
and products as a function of time: γ-butyrolactone (filled
circles), 1,4-butanediol (empty circles), and carbon balance (filled
squares). Reaction conditions are given in Table S4. Solvents: (A) dioxane and (B) THF (type A). (Right) Appearance
of the catalyst after reaction. The physical appearance of the catalyst
under dioxane looked normal, a black-colored material. For the THF’s
catalyst residue (THF, type A), the color indicated that the Cu catalyst
might have sintered. The green-colored residue was unfamiliar to us.
In panel (B, right), the solvent was removed and the catalyst was
dried to better observe its appearance after reaction. GBL, γ-butyrolactone;
BDO, 1,4-butanediol.Notably, the catalyst
performance under this THF medium was catastrophic;
a zero conversion was found. Experiments with this THF were repeated
several times to be entirely sure that the effect was not just accidental;
the negative outcome was proven reproducible. At that point, we looked
at the specifications of the THF, in particular, at the additive 2,6-di-tert-butyl-4-methylphenol (BHT). This is a free-radical
scavenger that inhibits explosive-prone peroxides by autoxidation.
Without the stabilizer, peroxide formation can take place on storage
or exposure to air or light. Despite it providing safety during transportation
and handling, the effect of this additive in, e.g., a catalyzed reaction
was unknown to date. This compound is acidic and can be adsorbed on
the catalyst surface since ZnO is basic.Preliminary characterization
of the reduced (i.e., before reaction)
and spent (i.e., after reaction) catalysts was done by XRD to understand
the sintering phenomenon. An initial hypothesis was that the metallic
Cu had sintered during the reaction. Calculation of the Cu-crystallite
size using the XRD patterns showed an increase from 27 up to 47 nm
(Table ). Such an
increase can be due to a few reasons. It can be related to differences
in hydrogen solubility between dioxane and THF; a high hydrogen partial
pressure would make sintering more remarkable. Calculations of the
H2 solubility in the solvents at the reaction conditions
by the UNIQUAC[42,43] contribution method (Figure ) did not show relevant
differences between the solvents (highlighted area in Figure ). Therefore, that hypothesis
was ruled out. Another possible explanation is related to differences
in viscosity among solvents. The viscosity of THF is 2.6 times smaller
than dioxane (room-temperature data; Table S5). Hence, the shear force cannot explain the Cu agglomeration.
Table 1
Structural and Chemisorption Properties
of the Cu–ZnO Catalysts
catalyst
properties
CuXRD (nm)a
SCu (m2/g)b
CuN2O (nm)c
Cu70Zn30
reduced
27
8.4
4.2
Cu70Zn30
reduced, after reaction, THF type A
47
5.9
6.0
Cu70Zn30
reduced, after reaction, dioxane
32
7.3
4.9
The XRD patterns can be found in Figure S5.
Values determined by
room-temperature
N2O chemisorption. The samples were previously H2-reduced at 275 °C for 2 h. Chemisorption stoichiometry O/Cus = 0.5 and atomic surface density of Cu = 1.46 × 1019 atoms/m2.
N2O chemisorption-derived
data. Average equivalent Cu-crystallite size (in nm) according to
(600·XCu)/(8.92·SCu), where XCu is the copper
mass fraction and SCu is the copper surface
area determined by N2O chemisorption.
Figure 3
Hydrogen solubility
in different solvents (THF, tetrahydrofuran;
Dio, dioxane) as a function of pressure at 180 °C, calculated
by the UNIQUAC[42] contribution thermodynamic
gas/liquid binary equilibrium method (Aspen Plus, Aspen Technology,
Inc.).[43]
Hydrogen solubility
in different solvents (THF, tetrahydrofuran;
Dio, dioxane) as a function of pressure at 180 °C, calculated
by the UNIQUAC[42] contribution thermodynamic
gas/liquid binary equilibrium method (Aspen Plus, Aspen Technology,
Inc.).[43]The XRD patterns can be found in Figure S5.Values determined by
room-temperature
N2O chemisorption. The samples were previously H2-reduced at 275 °C for 2 h. Chemisorption stoichiometry O/Cus = 0.5 and atomic surface density of Cu = 1.46 × 1019 atoms/m2.N2O chemisorption-derived
data. Average equivalent Cu-crystallite size (in nm) according to
(600·XCu)/(8.92·SCu), where XCu is the copper
mass fraction and SCu is the copper surface
area determined by N2O chemisorption.A possible interpretation can be
found in differences of mechanical
stress, the stress of the suspended solid under mechanical stirring.
The Hüttig temperature for Cu is ca. 178 °C, while that
for ZnO is 476 °C (the Hüttig temperature is calculated
as 1/3 × Tm, where Tm is the melting temperature in K).[44] The Hüttig point is the temperature at which the
surface of the solids becomes mobile, facilitating metal surface diffusion.
At the reaction temperature, 180 °C, i.e. above the Cu’s
Hüttig point, it is plausible that the Cu crystallites become
mobile; smaller ones can merge with bigger ones by collisions between
the catalyst particles. A second aspect to be looked at is the system’s
turbulency. A comparison between the Reynolds impeller numbers (ReI) between dioxane and THF was done in eqs and Vwhere N is the
stirring speed, D is the impeller diameter, ρ
is the density, and
μ is the viscosity. After applying the corresponding data (Table S5), it leads toThis means that the fluid-dynamic regime when
employing THF is more turbulent than in dioxane, and the collisions
between the suspended catalyst particles are more intense (i.e., more
collisions per time leading to side effects as explained next). It
is proposed that the particle collisions during the reaction, under
THF, in combination with the low Hüttig temperature for Cu
might provoke small Cu clusters to merge with larger ones, leading
to bigger crystallites. This hypothesis is illustrated in Figure . In dioxane, such
a difference in Cu particle size was not observed by XRD (Table ); it slightly increased
from 27 (reduced) up to 32 nm (spent in dioxane). Hence, the solvent
fluid-dynamic properties appear to be related to such a sintering
effect.
Figure 4
Proposed mechanically induced sintering mechanism under turbulent
stirring conditions for a Cu–ZnO catalyst during the liquid-phase
hydrogenolysis of GBL under THF as solvent. GBL, γ-butyrolactone;
THF, tetrahydrofuran.
Proposed mechanically induced sintering mechanism under turbulent
stirring conditions for a Cu–ZnO catalyst during the liquid-phase
hydrogenolysis of GBL under THF as solvent. GBL, γ-butyrolactone;
THF, tetrahydrofuran.However, a more important
descriptor for this reaction is the exposed
metallic Cu that can be determined by pulsed-N2O chemisorption.
This parameter gives information about the small Cu particles, which
contribute most to the metallic surface area and therefore to the
reaction’s activity. Pulsed-N2O chemisorption is
a method employed to assess the exposed metallic surface area, which
is a good measure of the activity of Cu-based catalysts,[31,35] though there can be other descriptors. The freshly reduced catalyst
showed a surface area of 8.4 m2 Cu0/g (Table ). That would correspond
to particles of ca. 4.2 nm on average. The chemisorption result for
the THF-spent catalyst (type A) resulted in 5.9 m2 Cu0/g with an effective particle size of 6 nm, which means that
the particle size increased by ca. 40%, while according to the XRD,
it increased by ca. 75%. On the other hand, a particle size of 4.9
nm was found for the dioxane-spent catalyst; both N2O chemisorption
and XRD show a similar particle size increase of ca. 17–19%
when using dioxane. Overall, the chemisorption-derived particle sizes
range narrowly between 4.2 and 6.0 nm. The N2O-derived
Cu0 particle size for the THF experiment, compared to dioxane,
is not as large as to expect a total deactivation. Combining the XRD
and pulsed-N2O data, two phenomena seem to occur with the
additive-containing THF: (1) a sintering effect yielding larger Cu
particles (detected by XRD), while (2) the smaller Cu particles (pulsed-N2O) do not vary much between the solvents. As the small Cu
particles are a better descriptor for the reaction than XRD, since
they contribute most to the metallic Cu surface area, the only manner
to explain the total deactivation is BHT poisoning. A preliminary
explanation is given next.A control experiment was done using
BHT-free THF as solvent (denoted
as type B in this study). Under this ultrapure THF, the catalyst was
active though somewhat slower than dioxane (Figure ). Therefore, the reason for the total deactivation
under BHT-containing THF can be preliminarily ascribed to the presence
of BHT that acts as a poison.
Figure 5
Binary Cu–ZnO catalyst performance. Hydrogenation
of γ-butyrolactone
over Cu–ZnO. Concentration profiles of the reactants and products
as a function of time: γ-butyrolactone (filled circles), 1,4-butanediol
(empty circles), and carbon balance (filled squares). Reaction conditions
are given in Table S4. Solvents: (A) BHT-containing
THF (type A) and (B) BHT-free THF (type B). GBL, γ-butyrolactone;
BDO, 1,4-butanediol; and BHT, 2,6-di-tert-butyl-4-methylphenol.
Binary Cu–ZnO catalyst performance. Hydrogenation
of γ-butyrolactone
over Cu–ZnO. Concentration profiles of the reactants and products
as a function of time: γ-butyrolactone (filled circles), 1,4-butanediol
(empty circles), and carbon balance (filled squares). Reaction conditions
are given in Table S4. Solvents: (A) BHT-containing
THF (type A) and (B) BHT-free THF (type B). GBL, γ-butyrolactone;
BDO, 1,4-butanediol; and BHT, 2,6-di-tert-butyl-4-methylphenol.The effect may be initially rationalized considering
the reaction
mechanism and the structure of the active sites. Hamminga et al.[45] proposed for this reaction that the ZnO serves
as the basic adsorption site where the lactone is first adsorbed,
whereas the metallic Cu enables the dissociation of molecular H2; the ring-opening hydrogenolysis takes place, and the diol
is released (Figure ). Since BHT is an acidic compound, it can be expected that it adsorbs
on the ZnO or Cu–ZnO interfaces and therefore blocks the reaction
from going forward. The active site model requires therefore the presence
of Cu–ZnO interfaces. It is known that these interfaces are
available in limited quantity due to the bulky nature, or low surface
area, of these catalysts (among others, Nakamura et al.[46]). Therefore, as the absolute quantity of the
sites is low, these catalysts are expected to be prone to poisoning.
A calculation was made to evaluate if the poisoning hypothesis can
be considered solid. The total amount of BHT in a batch experiment
is ∼200 μmol. From the pulsed-N2O chemisorption
data, the amount of exposed ZnO can be calculated (see the calculation
in the Supporting Information), resulting
in ∼262 μmol of surface ZnO present in the catalyst for
a batch experiment. Due to the bulky catalyst nature, it can be said
that the Cu–ZnO interface is smaller in quantity than 262 μmol.
Therefore, BHT can quantitatively poison the interfacial Cu–ZnO
sites and the ring-opening hydrogenolysis does not proceed as it should
occur in a poison-free Cu–ZnO site.
Figure 6
Active site model and
reaction mechanism for the ring-opening hydrogenolysis
of γ-butyrolactone to 1,4-butanediol over Cu–ZnO. Adapted
with permission from Hamminga et al.[45]
Active site model and
reaction mechanism for the ring-opening hydrogenolysis
of γ-butyrolactone to 1,4-butanediol over Cu–ZnO. Adapted
with permission from Hamminga et al.[45]Another aspect is that water can hydrate/oxidize
the active site
with a negative impact. This has been discussed for Pd/Al2O3-based hydrogenation catalysts.[47] To the best of our knowledge, the employed commercial solvents and
reagents were of dried quality. Therefore, that effect will not be
discussed further.
Commercial Catalyst
In a final study,
we tried to understand the effect of the solvent additive when using
a commercial Cu-based catalyst. For this, we employed a Cu-based catalyst
containing 60–68 wt % CuO, while the rest is ZnO, Al2O3, and in minor proportion MgO. The experimentally determined
BET area is 137 m2/g (unreduced catalyst), a factor of
∼7 with respect to the binary CuO–ZnO catalyst precursor
(19 m2/g). The H2-TPR profile shows a broad
decomposition centered at 240 °C (Figure S6), which is comparable to the binary catalyst, as discussed
earlier due to CuO reduction. The XRD pattern displays broad reflections
of CuO and ZnO phases (Figure ), whereas no phases were observed for Al2O3 and MgO. For the XRD phase identification, the use of two
reference materials was required, in addition to the JCPDS files,
due to the broad peaks.
Figure 7
XRD diffraction patterns for the commercial
Cu(O)–ZnO–MgO–Al2O3 catalysts,
including the as-received oxidic
material (fresh) and the after-reaction catalysts. The patterns of
two CuO–ZnO reference compounds were included to help in the
identification since the commercial catalyst contains broad reflections:
(α) Cu5Zn95 and (β) Cu50Zn50, where the subscripts represent the relative mole
composition. Both were prepared using the method described in Section .
XRD diffraction patterns for the commercial
Cu(O)–ZnO–MgO–Al2O3 catalysts,
including the as-received oxidic
material (fresh) and the after-reaction catalysts. The patterns of
two CuO–ZnO reference compounds were included to help in the
identification since the commercial catalyst contains broad reflections:
(α) Cu5Zn95 and (β) Cu50Zn50, where the subscripts represent the relative mole
composition. Both were prepared using the method described in Section .The reaction was carried out using the same solvents, THF
and dioxane.
THF was used in two commercial grades, with BHT and an ultrapure type
without BHT. Pure dioxane was employed as received, as well as by
adding a certain amount of BHT mimicking the concentration in THF
type A, i.e., with 250 ppm BHT. In all cases, the selectivity was
100% with BDO as the sole reaction product (see the concentration
profiles in Figure S7); therefore, the
catalyst performance was assessed in terms of conversion. The performance
using both pure solvents (Figure A,B) was acceptable; the conversion increases with
reaction time toward achieving an equilibrium plateau. The performance
with pure dioxane was faster than with pure THF. It seems that the
active sites are suffering a sort of deactivation when using pure
THF. Perhaps, it is the same effect as that observed in the binary
system due to mechanically induced sintering (Figure ). XRD patterns of the spent catalysts (Figure ) show a sharpening
of the Cu0 reflections with pure THF. Quantification of
the XRD-particle size indicates, however, a moderate increase from
6.3 nm (dioxane) to 7.7 nm (THF type B) (Table S6). The study requires further insights with additional characterization
(e.g. XPS or pulsed-N2O) to assess sintering on the smallest
Cu particles. For this, an XPS study was carried out, where Cu 2p3/2, Zn 2p3/2, and Al 2s core level spectra were
evaluated (see Figure ). From those spectra, the atomic ratio of (Cu0 + Cu+)/(Cu + Zn + Al) in the probed volume can be determined. This
parameter can be used as an approximation to the N2O data
(see the explanation in Section ). XPS spectra of the Mg LMM Auger line, O 1s, and
C 1s core level regions before and after reaction treatments are shown
in Figure S8 (see the Supporting Information).
Figure 8
Performance of a commercial Cu–ZnO–MgO–Al2O3 catalyst in the hydrogenation of γ-butyrolactone
using (A) THF as a solvent, with and without BHT as an additive, and
(B) using 1,4-dioxane as a solvent, with and without BHT as additive.
For THF, BHT comes as an additive in one of the commercial grades,
whereas for 1,4-dioxane, the BHT was added by us to reach the same
concentration, 250 ppm. For the experiments containing BHT, the catalyst
was reused in a second cycle using fresh reagents after in
situ reduction. The concentration profiles can be found in Figure S7. GBL, γ-butyrolactone; THF, tetrahydrofuran;
BHT, 2,6-di-tert-butyl-4-methylphenol.
Figure 9
XPS spectra of the (1) Cu 2p3/2, (2) Zn 2p3/2, and (3) Al 2s core level regions for the various Cu(O)–ZnO–MgO–Al2O3 materials: (A) fresh commercial unreduced catalyst;
(B) after-reaction, pure THF; (C) after-reaction, pure dioxane; (D)
after-reaction, BHT-containing THF, and (E) after-reaction, BHT-containing
dioxane. THF, tetrahydrofuran; BHT, 2,6-di-tert-butyl-4-methylphenol.
Performance of a commercial Cu–ZnO–MgO–Al2O3 catalyst in the hydrogenation of γ-butyrolactone
using (A) THF as a solvent, with and without BHT as an additive, and
(B) using 1,4-dioxane as a solvent, with and without BHT as additive.
For THF, BHT comes as an additive in one of the commercial grades,
whereas for 1,4-dioxane, the BHT was added by us to reach the same
concentration, 250 ppm. For the experiments containing BHT, the catalyst
was reused in a second cycle using fresh reagents after in
situ reduction. The concentration profiles can be found in Figure S7. GBL, γ-butyrolactone; THF, tetrahydrofuran;
BHT, 2,6-di-tert-butyl-4-methylphenol.XPS spectra of the (1) Cu 2p3/2, (2) Zn 2p3/2, and (3) Al 2s core level regions for the various Cu(O)–ZnO–MgO–Al2O3 materials: (A) fresh commercial unreduced catalyst;
(B) after-reaction, pure THF; (C) after-reaction, pure dioxane; (D)
after-reaction, BHT-containing THF, and (E) after-reaction, BHT-containing
dioxane. THF, tetrahydrofuran; BHT, 2,6-di-tert-butyl-4-methylphenol.The detailed Cu 2p3/2 spectra of all
samples require
three components to obtain a good fit (see Figure (1)). The peak at a BE of 933.0 eV (marked
in red in Figure (1))
is ascribed to Cu0/Cu+ species, while the component
at 934.4–935.0 eV (blue) corresponds to Cu2+ species.[48,49] The additional peak at higher binding energy (green) can be assigned
to copper hydroxide (Cu(OH)2).[49] Furthermore, the shake-up features appearing at higher BEs (marked
in fuchsia and orange in Figure (1)) are evidence for the presence of Cu2+ species in all samples.[50,51] As the spent catalysts
were reduced at 240 °C, the presence of CuO-like species in those
catalysts can be attributed to a CuAl2O4 spinel
that has a similar binding energy to CuO.[52] The CuAl2O4 spinel reduces at a high temperature
of ca. 430 °C.[53] This spinel cannot
easily be detected in the XRD patterns (Figure ) since the peaks are quite broad in the
region where the spinel should appear.The detailed Zn 2p3/2 spectra for all samples, shown
in Figure (2), require
two components to obtain a good fit. The main peak at a BE of about
1022.2 eV (marked in purple in Figure (2)) corresponds to ZnO species, while the small component
at higher BE is assigned to Zn(OH)2 species.[54]Figure (3) presents
the Al 2s/Cu 3s core level region. The component located at a BE of
∼119.0 eV corresponds to the Al2O3 species
for the fresh sample (A); the same component can also be ascribed
to the formation of CuAl2O4 species (the Al2O3 and CuAl2O4 species cannot
be resolved as distinct components).[52] The
features at higher BEs in Figure (3) are the components of the Cu 3s peak, which correspond,
respectively, to the chemical species already shown in the detailed
Cu 2p3/2 spectra (see Figure (1)).The (Cu0 + Cu+)/(Cu + Zn + Al) parameter
for the pure THF catalyst is much lower than that for pure dioxane
(3% vs 21%; see Table ). This means that sintering of the small Cu particles occurs and
can explain the slower rate under pure THF.
Table 2
XPS-Derived
Surface Properties of
the Fresh and Spent Cu(O)–ZnO–MgO–Al2O3 Catalysts
catalyst
properties
a,b
commercial
fresh, oxidic
phases
0
commercial
spent, pure THF
3
commercial
spent, pure dioxane
21
commercial
spent, THF containing 250 ppm BHT
22
commercial
spent, dioxane containing 250 ppm BHT
26
This parameter was used as an alternative
to the pulsed-N2O data. See Section for more details.
Mg could not be quantified because
the Mg 2s core level region overlaps with the Zn 3p core level. Other
lines such as Mg 2p and Mg 1s displayed a high signal-to noise ratio.
Therefore, it was assumed that Mg is present in low concentration
at the surface.
This parameter was used as an alternative
to the pulsed-N2O data. See Section for more details.Mg could not be quantified because
the Mg 2s core level region overlaps with the Zn 3p core level. Other
lines such as Mg 2p and Mg 1s displayed a high signal-to noise ratio.
Therefore, it was assumed that Mg is present in low concentration
at the surface.The reaction
with the BHT-containing solvents revealed a significant
depletion of the conversion (Figure ) for both cases. A second cycle revealed the effect
to be reproducible. Note that between the reaction runs, the catalyst
was reduced; therefore, the adsorbed BHT on the catalyst may have
been eliminated during the thermal treatment of reduction under a
flow of 10% H2 in nitrogen. This explains the same trend
in the second run. In other words, it is a chemical inhibition of
the sites during the reaction without affecting the Cu crystallites.
There are smaller conversion levels with BHT-containing THF than with
BHT-containing dioxane. The reason may be related to the suggested
mechanically induced sintering (Figure ), which also occurs when BHT is present. In fact,
the (Cu0 + Cu+)/(Cu + Zn + Al) ratio for BHT-containing
THF was 22%, while it amounted to 26% for BHT-containing dioxane (see Table ); therefore, Cu sintering
seems to occur as well in the BHT-containing THF but less than in
pure THF. The reason can be associated with a possible stabilizing
role of BHT, which binds more strongly the Cu particles and reduces
sintering. These are preliminary observations using the XPS data primarily
showing trends. Further insights using pulsed-N2O chemisorption
data would be useful as it provides specific information of the Cu0. Moreover, the role of Zn may also be considered as it has
been claimed as having a role in the active site for methanol synthesis.[40,46,55−57]In general,
in the catalytic tests, there is a less severe effect
of BHT for the commercial catalyst, as compared to the binary counterpart;
the binary one showed no conversion at all, whereas the commercial
one showed a depletion. The better behavior may be related to the
higher surface area of the commercial catalyst, a factor 7. In other
words, its higher surface area tolerates better the 250 ppm BHT concentration
as there are more active sites available; some are poisoned, while
others are still free for the reaction. The XRD patterns of the spent
catalysts (with BHT) show similarity (Figure ), displaying Cu and ZnO as main reflections.
There seems to be some Cu2O overlapping the other reflections.
This phase arises from the surface oxidation of the metallic Cu after
exposure to air during the manipulation and analysis (this effect
is also visible for the pure solvent-derived materials). The metallic
Cu reflections for both catalysts (with BHT) are very similar, as
well as the particle size quantification, 5.8 nm vs 6.5 nm (Table S6). An important observation from XPS
is that the (Cu0 + Cu+)/(Cu + Zn + Al) ratio
remains high for the BHT-containing experiments and close to the pure
dioxane experiment (see Table ). This means that there are enough surface Cu species for
the reaction to occur at a higher rate. The explanation for the depletion
in the performance can be found in a poisoning of Cu sites by BHT.
At this stage, the results point at the same poisoning effect discussed
for the binary catalyst system.To put these results into a
general perspective, and to the best
of our knowledge, this is the first time that such a deactivation
mechanism is reported for Cu-based liquid-phase hydrogenation reactions.[58] The purity of the feedstock generally gets less
attention in heterogeneous catalysis than in, e.g., homogeneous catalysis.
Likely, this is because heterogeneous catalysis mainly focuses on
large-volume bulk processes, where purification is costly. In a recent
study, Du et al.[59] reported that the styrene
hydrogenation over Pd/Al2O3 was strongly influenced
by the presence of 4-tert-butylcatechol (TBC), with
a sharp decrease of the reaction rate for concentrations ranging from
15 to 150 ppm. TBC is a free-radical scavenger typically added at
the ppm level during transportation and handling. In that case, TBC
was a reagent’s additive and it gave rise to a comparable poisoning
deactivation as that reported here for BHT on Cu-based catalysts.
There is a striking difference; while the work of Du et al.[59] refers to a supported Pd/Al2O3 catalyst (0.5 wt % Pd), the effect reported in this study
is about catalysts having an enormous concentration of Cu (∼70
wt % for binary catalyst and 60–68 wt % for the commercial).
This indirectly proves that these Cu catalysts behave as supported
catalysts in the sense that the concentration of active sites is small.
Concluding Remarks
The hydrogenolysis of
γ-butyrolactone over a Cu–ZnO
catalyst was found to be dramatically influenced by the solvent’s
purity. The effect was preliminarily ascribed to a solvent additive,
2,6-di-tert-butyl-4-methylphenol (BHT), present in
commercial THF. Such a solvent additive is commercially added as a
free-radical scavenger that prevents the formation of peroxides due
to health and safety considerations for transportation. The catalyst
deactivation is complex to understand, and a preliminary explanation
is proposed, namely, BHT-induced poisoning. Though the binary catalyst
suffered Cu sintering yielding large particles, this cannot explain
the total deactivation. The latter is ascribed to BHT poisoning on
the Cu–ZnO interfaces; this explanation is supported by pulsed-N2O quantification and control experiments. The BHT effect was
also visible when assessing a commercial Cu–ZnO–MgO–Al2O3 catalyst, though the effect was less severe
than for the binary catalyst. This is likely due to the larger surface
area and higher active site concentration as compared to those of
the binary catalyst. Hence, the commercial catalyst is more tolerant
to that impurity. A BHT-induced poisoning was also proposed for the
commercial catalyst’s behavior. Generally speaking, the results
put forward the need for careful solvent selection and purification
in three-phase-catalyzed hydrogenation reactions to achieve optimal
performance.
Authors: Malte Behrens; Felix Studt; Igor Kasatkin; Stefanie Kühl; Michael Hävecker; Frank Abild-Pedersen; Stefan Zander; Frank Girgsdies; Patrick Kurr; Benjamin-Louis Kniep; Michael Tovar; Richard W Fischer; Jens K Nørskov; Robert Schlögl Journal: Science Date: 2012-04-19 Impact factor: 47.728
Authors: Hailiang Wang; Andras Sapi; Christopher M Thompson; Fudong Liu; Danylo Zherebetskyy; James M Krier; Lindsay M Carl; Xiaojun Cai; Lin-Wang Wang; Gabor A Somorjai Journal: J Am Chem Soc Date: 2014-07-15 Impact factor: 15.419
Authors: Andras Sapi; Fudong Liu; Xiaojun Cai; Christopher M Thompson; Hailiang Wang; Kwangjin An; James M Krier; Gabor A Somorjai Journal: Nano Lett Date: 2014-10-24 Impact factor: 11.189
Authors: Maxim Zabilskiy; Vitaly L Sushkevich; Dennis Palagin; Mark A Newton; Frank Krumeich; Jeroen A van Bokhoven Journal: Nat Commun Date: 2020-05-15 Impact factor: 14.919