Guowu Zhan1, Hua Chun Zeng1. 1. Department of Chemical and Biomolecular Engineering, Faculty of Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260.
Abstract
Particulate catalysts with streamline shapes have important impacts on fluid-related reactions, and they need to be properly characterized. However, utilization of streamline-shaped catalysts for heterogeneous catalysis has remained an unexplored area due to the lack of easy-to-use techniques to produce such shaped catalysts, especially at the small length scale of the submicron to micron regime. Herein, we report our recent development of a class of prototype nanocatalysts with streamline shapes. In this research, the kinetic control is adapted to obtain streamline-shaped supports, followed by functionalizing such supports with catalytically active metal nanoclusters (e.g., Au, Pd, Pt, and Ag or their combinations) in a stepwise manner. Advantages related to the streamline morphology of catalysts have been demonstrated with a number of solid-solution systems such as alcohol oxidation, olefin hydrogenation, and Suzuki-Miyaura coupling. We believe these findings will promote new research on the design and synthesis of functional materials with additional fluid-advanced features.
Particulate catalysts with streamline shapes have important impacts on fluid-related reactions, and they need to be properly characterized. However, utilization of streamline-shaped catalysts for heterogeneous catalysis has remained an unexplored area due to the lack of easy-to-use techniques to produce such shaped catalysts, especially at the small length scale of the submicron to micron regime. Herein, we report our recent development of a class of prototype nanocatalysts with streamline shapes. In this research, the kinetic control is adapted to obtain streamline-shaped supports, followed by functionalizing such supports with catalytically active metal nanoclusters (e.g., Au, Pd, Pt, and Ag or their combinations) in a stepwise manner. Advantages related to the streamline morphology of catalysts have been demonstrated with a number of solid-solution systems such asalcohol oxidation, olefin hydrogenation, and Suzuki-Miyaura coupling. We believe these findings will promote new research on the design and synthesis of functional materials with additional fluid-advanced features.
When
an object moves through a viscid fluid, it experiences a drag
force, which usually consists of pressure drag and frictional drag
(scaling with the Reynolds number).[1,2] It is broadly
accepted that the shape of a particle has a great effect on the amount
of drag produced. A streamline body represents a superior geometry
since it faces minimum fluid resistance; well-known examples of this
type are submarines in seawater or airplanes in air. Systems of heterogeneous
catalysis can be viewed as dispersed solid–liquid (or solid–gas)
flows. It has been well established that an optimal shape configuration
of catalysts can promote the transport processes and thus enhance
catalytic activity in the fixed bed reactors.[3] However, to date, no studies have been attempted to adopt streamline
catalysts in liquid phase heterogeneous catalytic reactions. This
is perhaps due to the lack of easy-to-use techniques to produce catalyst
particles with a streamline morphology.As shown in Figure a, streamline catalyst
particles may align themselves according to
a solvent flow, just like a school of fish swimming against the current,
and the fast movement of fluid over the particles (equivalent to the
fast motion of particles) benefits a rapid mass exchange, which may
exert a strong impact on their performance. The velocity vector plots
and pressure fields for catalyst objects with various geometric shapes
operating in a water flow can be described conveniently by computational
fluid dynamics (CFD) simulation (ANSYS Fluent 15.0 software), as illustrated
in Figure b-f and Figures S1–S3. As shown, the more streamline
the particle is, the lower the disruption of the flow patterns and
a higher flow rate on the particle surface are found. The computational
results show that a streamline body gives the lowest drag (i.e., pressure
drop), followed by sphere, circular cone, cube, and the last is a
flat plate.
Figure 1
Geometric consideration (also see Figures S1–S3) and synthesis of streamline catalysts. (a) The alignment of streamline
catalyst particles in the presence of solvent flow. (b–f) Velocity
vector plots of catalyst objects with various body shapes (flow rate
0.1 m·s–1 (water) and temperature 25 °C).
Geometrical shapes investigated include streamline body, cube, circular
cone, flat plate, and sphere, which share the same projected frontal
area. Color-code is used to indicate the strength of the flow velocity.
(g) Schematic illustration of stepwise preparations of TCOS support
and the derived catalysts (see Supporting Information).
Geometric consideration (also see Figures S1–S3) and synthesis of streamline catalysts. (a) The alignment of streamline
catalyst particles in the presence of solvent flow. (b–f) Velocity
vector plots of catalyst objects with various body shapes (flow rate
0.1 m·s–1 (water) and temperature 25 °C).
Geometrical shapes investigated include streamline body, cube, circular
cone, flat plate, and sphere, which share the same projected frontal
area. Color-code is used to indicate the strength of the flow velocity.
(g) Schematic illustration of stepwise preparations of TCOS support
and the derived catalysts (see Supporting Information).Generally, a lower drag endows
catalyst particles with a greater
fracture resistance during the reaction, whereas the tubular, cylindrical
extrudates have the disadvantage of low crushing strength and abrasion
resistance.[4] We observe that there are
narrow elongated wake regions right after the nonstreamline particles,
as formed of a swirling or eddy flow. It should be pointed out that
fluid–particle mass transfer in the wake region is very low
because the flow is separated from the body surface (the phenomenon
is termed as separation of boundary layer).[5] In contrast, the uniformity of the velocity fields is clear after
passing through the streamline particle, and hence the separation
of flow is eliminated, suggesting a full usage of catalyst surface.
What is more, another advantage of streamline catalysts is that they
have a larger active surface per unit volume than their spherical
counterparts and can load more active sites for catalysis. In a simple
estimation, it is calculated that streamline catalysts can give 16%
more surface area than a spherical catalyst of equivalent volume (see Table S1). Therefore, it is highly desirable
to add streamline features to catalysts and elucidate the impact of
particle shape on their catalytic performance.
Results and Discussion
Herein, as depicted in Figure g, we report our present work on using core–satellite
structured Cu2O@Au nanospheres as a template/precursor
for hydrolysis and polycondensation of 3-mercaptopropyl trimethoxysilane
(MPTMS) to construct tadpole-shaped copper organosilicate (denoted
as TCOS, Table S2 and Figure S4). The sol–gel
derived TCOS materials have a streamline shape. First, monodisperse
Cu2O nanoparticles with an average size of 126 nm (please
see Supporting Information for details, Figure S5) were synthesized as a template for Au deposition. Because
the standard reduction potential of AuCl4–/Au (1.00 V vs standard hydrogen electrode (SHE)) is higher than
that of Cu2+/Cu2O (0.22 V vs SHE),[6] Au nanoparticles (size of 5.1 ± 0.7 nm)
can be deposited on Cu2O crystals by spontaneous galvanic
replacement at ambient temperature, resulting in a composite material
of surface decorated Cu2O@Au (Figures S6 and S7). In general, the sol–gel process of organosilane
RSi(OR’)3 (e.g., MPTMS) is based on the hydrolysis
and followed by condensation under acidic or alkaline conditions.[7] Rather surprisingly, we found that Cu2O@Au nanoparticles
can act as catalysts for the sol–gel reaction of MPTMS and
thereby construction of polysiloxane frameworks. Most intriguingly,
the product (i.e., TCOS) has a streamline shape (Figure a–f and Figures S8 and S9), which is the streamline geometry
we described in Figure b. The monodisperse TCOS particles, with ca. 100% morphological yield,
have a maximal head width of ca. 380 nm and a tail that tapers along
its longitudinal axis of ca. 800 nm. Their tilted diameter increases
abruptly (from 0 to 330 nm) and then gradually decreases (from 330
to 0 nm) from head to tail along the longitudinal axis (stereographs
of atomic force microscope (AFM) in Figure b and Figure S10), resembling the vivid appearance of a tadpole. Three main compositional
characteristics are found in the TCOS product (Figure f and Figures S11–S15): (i) copper was distributed across the entire structure, accounting
for 19% by weight (inductively coupled plasma (ICP) measurement),
(ii) the streamline structure contained organic groups (including
sulfur element), originated from mercaptopropyl groups of MPTMS, and
(iii) gold element existed largely in the globose head of this streamline
body, with a mass percentage of 2% (ICP measurement); thus, hereafter,
TCOS can also be read as MA@TCOS (MA = Au, unless
otherwise specified). Additionally, we further optimized synthetic
parameters (e.g., reaction temperature, duration, and precursor concentration)
in order to produce TCOS samples in good quality (Figures S16–S18) and a high morphological yield (∼100%, Figure S9). For instance, the average tail length
of TCOS can be varied from 0.3 to 1.25 μm simply by adjusting
the concentration of MPTMS in synthesis.
Figure 2
Characterizations of
the streamline catalysts. (a) Scanning electron
microscopy (SEM) image, (b) atomic force microscopy (AFM) image, (c)
transmission electron microscopy (TEM) image, (d, e) high-angle annular
dark field scanning TEM (HAADF-STEM) images, and (f) energy dispersive
X-ray (EDX) elemental maps of TCOS particles. (g–i) Photographs
of water droplets on different substrates of TCOS (g), COS (h), and
the conventional organosilica (i).
Characterizations of
the streamline catalysts. (a) Scanning electron
microscopy (SEM) image, (b) atomic force microscopy (AFM) image, (c)
transmission electron microscopy (TEM) image, (d, e) high-angle annular
dark field scanning TEM (HAADF-STEM) images, and (f) energy dispersive
X-ray (EDX) elemental maps of TCOS particles. (g–i) Photographs
of water droplets on different substrates of TCOS (g), COS (h), and
the conventional organosilica (i).Although extensive research has been pursued in the synthesis
of
organosilica (also known aspolysilsesquioxane),[8−11] no control over product shapes
has been achieved owing to the difficulty in auto-organization of
the sol–gel process at a mesoscopic length scale (10–1000
nm). Moreover, typically, the organosilica network with hydrocarbon
groups exhibits hydrophobic properties.[12] However, a highly hydrophilic surface was formed in our TCOS system
(water contact angle of 38°; Figure g). As proven by X-ray diffraction (XRD)
analysis (Figure S19), all Cu2O phase was absent in the TCOS product, suggesting the total transformation,
but the Au phase was still preserved. The TCOS has a layered structure
with discernible layered clay-like reflections. The d-spacing of the layered structure determined to be 1.62 nm is interpreted
as the sum of the tetrahedral siloxane layer thickness plus the interlayer
distance created by the alkylthiol spacers (refer to the structural
models in Figure S19c, where the alkyl
chains are in bilayer arrangements[13,14]). On the other
hand, the 0.42 nm periodicity displayed in the XRD pattern can be
attributed to alkylthiol chains packing within the layer (via van
der Waals interactions).[14,15] The observed reflections
are generally broad, suggesting some degree of intralayer disorder/defects
due to the sorption of copper ions. Furthermore, evidence for copper
coordination with the alkylthiolate group through forming covalent
Cu–S bonds is provided by X-ray photoelectron spectroscopy
(XPS) characterization (Figures S20–S25).[16] In contrast, no XPS signal due to
Au was observed in the TCOS sample, indicating that Au nanoparticles
(located in the head portion) were totally confined underneath the
copper organosilicate layer, as also evidenced from their corresponding
high-resolution transmission electron microscopy (HRTEM) images in Figure S26. Furthermore, XPS spectra in Figure S21 and Figure S24 indicate that the copper species mainly exist asCu(I). A small
amount of Cu2+ should be attributed to the spontaneous
surface galvanic replacement reaction during the preparation of Cu2O@Au. It was found that Cu(I) was quite stable in our synthetic
solution because thiols were able to stabilize Cu+ ions
by protecting them from further oxidation to Cu2+.[17] Fourier transform infrared spectroscopy (FTIR)
spectrum (Figure S27) of TCOS shows that
the Cu(I)–O vibrational band (at 630 cm–1)[18] in the Cu2O template disappeared
completely and a new organosilicate phase (featured with alkylsiloxane
network) formed, consistent with the conclusion derived from XRD analysis.
Specifically, the thiol groups (S–H stretching vibration, 2557
cm–1)[19] in TCOS are missing,
again supporting the binding of thiol group to copper.[16] In addition, solid-state 29Si magic-angle
spinning (MAS) nuclear magnetic resonance (NMR) spectroscopy (Figure S28) confirms the presence of organosiloxane
units (T = RSi(OSi)(OH)3–, m = 1–3) in the TCOS, which reveals two distinct resonances:
the peaks at −67 and −58 ppm were assigned to the fully
condensed T3 and the partially condensed T2 species,
respectively, also indicating that Si–C bonds were not cleaved
during the reaction.[9] Besides, the organic
constituents of TCOS were also determined by thermogravimetry and
FTIR (combined TGA–FTIR; Figure S29). The mesoporosity of TCOS was confirmed by N2 physisorption
measurements. The N2 sorption isotherm (Figures S30 and S31) of TCOS displays type IV hysteresis,
which shows a large BET surface area of 234 m2·g–1, a total pore volume of 0.42 mL·g–1, and well-defined mesopores with an average pore size of 3.7 nm
(BJH model). In addition, the shape of TCOS can be maintained even
after hydrothermal treatments (160 °C for 24 h, Figure S32) or calcination under air (500 °C for 6 h, Figure S33); it is indeed structurally and thermally
robust.To shed light on the formation mechanism of singular
TCOS and to
understand the role of Cu2O@Au precursor, two solid analogues
were also made in this work. Copper organosilicate (COS) was prepared
in a similar manner as the TCOS, but bare Cu2O particles
(i.e., without gold) were used instead. Our TEM images and energy-dispersive
X-ray spectroscopy (EDX) elemental maps show that the COS is in a
flexible sheet form with irregular shapes (Figures S34 and S35). In addition to the COS, an organosilica sample
was also obtained directly from the hydrolysis of MPTMS using triethylamineas a base catalyst. As shown in Figures S36 and S37, the as-synthesized organosilica particles are spherical
in shape (similar to Stöber silica). The hydrophobic surfaces
of these two solid analogues are evident from the water contact angles
of 84° (COS) and 140° (organosilica) in Figure h,i. Importantly, the dynamic
viscosity of TCOS in ethanol (suspension concentration: 0.5 g·L–1) was determined as 1.171 cP (at 25 °C), which
was smaller than the values of COS (1.178 cP) and organosilica (1.191
cP) in ethanol. Again, XRD results indicate that the d-spacing values of the layered structure in TCOS (1.62 nm) were relatively
larger than that of organosilica (1.12 nm), due to the incorporation
of copper ion in the organic layer (Figure S19). It is worth noting that the space difference is close to two times
of the theoretical value of Cu–S bond (2.2 Å).[20] The enlargement of interlayer spacing will affect
the porosity of TCOS; indeed, the TCOS samples are more porous, compared
with COS (BET surface area of 58 m2·g–1), organosilica (3 m2·g–1), and
the Stöber silica (16 m2·g–1).On the basis of the above characterizations, the origin
of the
streamline shape is unlikely to lie in thermodynamics but on reaction
kinetics, as illustrated in Figure a. First, Cu2O acted as a catalyst for the
hydrolysis and polycondensation of MPTMS. We found that the catalytic
effect of Cu2O is induced by releasing protons in solution
via the metal–thiol complexation RSH + Cu+ →
RSCu(I) + H+,[21] as evidenced
by the solution pH value changes from 6.7 to 4.3 after mixing Cu2O with MPTMS. These protons will promote the construction
of the organosilicate framework through three steps: hydrolysis of
MPTMS to form the silanol species RSi(OH)3, followed by
a chain bilayer self-organization process, and then Si–O–Si
condensation.[14] The released H+ can also directly etch Cu2O phase via Cu2O
+ 2H+ → 2Cu+ + H2O. It has
been reported that the stability of Cu2O crystal planes
in weak acid solution follows the order {100} ≫ {111} >
{110}.[22,23] In our present work, the pristine Cu2O spheres were quite
reactive as they were aggregated from small crystallites.[24] To validate the effect of this surface reactivity,
we selected the {100}-faceted Cu2O (i.e., nanocubes) to
replace the spherical Cu2O and used the resultant Cu2O@Auas a precursor. Nevertheless, we found that the product
Cu2O@Au@organosilica from this process still maintained
the cubical shape with some interior voids (Figures S38 and S39). Because the {100} crystal planes are more stable,
less Cu+ ions can be liberated in the latter case and the
deposition of pure organosilica is kinetically preferred. To further
address the formation process, time-dependent pH change upon the synthesis
was recorded in Figure a, which provides significant insight into the Cu2O etching
behavior. In particular, the pH value decreases drastically at the
onset of MPTMS addition, and then it proceeds for two stages of decrease
before it stabilizes. Decorating the Cu2O spheres with
Au nanoparticles seems to be efficient in preventing Cu+ ions from rapid leaching. AsMPTMS approaching the Cu2O spheres, Cu+ would be liberated. Because of uneven distribution
of Au nanoparticles on the Cu2O spheres, the reaction was
always commenced at a surface spot where the Au nanoparticles were
less dense (i.e., the Cu2O was less protected). Therefore,
MPTMS and H+ could break through the layer of Au nanoparticles
and result in a breach on the Cu2O surface (refer to the
models in Figure a).
The breaching process on the surface was actually captured in our
TEM observation, especially at a low reaction temperature (Figure S17a–c). We noted that the side
view of distribution of Au nanoparticles in TCOS appears as a 270°
arc in the TEM image (inset, Figure a). The second stage pH-decrease corresponded to the
formation of breaches. As such, the anisotropic growth of copper organosilicate
was induced. Further growth and shape-control of the organosilicate
phase would then be driven by the minimum free-energy structures accessible
in the stirred solvent (Figure a), which spontaneously adopted the streamline geometry as
a result of minimizing fluid resistance (Figure b). In terms of elaborated lamellar mesophase,
the steric and van der Waals type interactions among the organic units
and the hydrogen bonding among the silanols were the major driving
forces.[25] However, in the case of employing
bare Cu2O spheres for the fabrication of COS, there were
no breaches on the Cu2O; thus an isotropic growth would
be followed. The Cu2O evolved into irregular platelets
of COS, instead of a streamline product. This indicates that differentiated
surface activity is essential for a desired anisotropic growth. It
should also be mentioned that no surfactant was required in our synthesis,
and the kinetically controlled growth of TCOS has thus suggested new
possibilities on the scope of self-assembly of nanomaterials.[26]
Figure 3
Formation mechanism and catalytic application of streamline
catalysts.
(a) The pH value change of the reaction solution (Cu2O@Au
in brown line, and bare Cu2O in purple line) after adding
MPTMS. The schematic illustration depicts the two transformative routes
related to the synthesis (i.e., Cu2O@Au → TCOS and
bare Cu2O → COS upon the addition of MPTMS). (b)
Time-dependent UV–Vis spectra of the reaction mixture of reduction
of 4-nitrophenol by using NaBH4 as a reducing agent and
TCOS (with a long tail) as a catalyst. (c) The linear relationship
between ln(Ct/C0) and reaction time during the course of the reaction by using TCOS
(having long and short tails) and spherical Cu2O@Au@mSiO2 as catalysts. The kinetic data without
using catalysts are also plotted (line (4)) for comparison. Insets
show the corresponding TEM images and structural models of the particles.
Formation mechanism and catalytic application of streamline
catalysts.
(a) The pH value change of the reaction solution (Cu2O@Au
in brown line, and bare Cu2O in purple line) after adding
MPTMS. The schematic illustration depicts the two transformative routes
related to the synthesis (i.e., Cu2O@Au → TCOS and
bare Cu2O → COS upon the addition of MPTMS). (b)
Time-dependent UV–Vis spectra of the reaction mixture of reduction
of 4-nitrophenol by using NaBH4as a reducing agent and
TCOS (with a long tail) as a catalyst. (c) The linear relationship
between ln(Ct/C0) and reaction time during the course of the reaction by using TCOS
(having long and short tails) and spherical Cu2O@Au@mSiO2as catalysts. The kinetic data without
using catalysts are also plotted (line (4)) for comparison. Insets
show the corresponding TEM images and structural models of the particles.Knowledge of the formation mechanism
of TCOS enables us to further
engineer other streamline materials. For example, our strategy for
synthesizing TCOS has been extended to using Cu2O@Pd and
Cu2O@Ptas the precursors. Because the standard reduction
potentials of both PdCl42–/Pd (0.56 V
vs SHE) and PtCl42–/Pt (0.84 V vs SHE)
are also higher than that of Cu2+/Cu2O (0.22
V vs SHE),[6] Cu2O crystals in
aqueous suspension could be immediately oxidized by these metal ions
at room temperature according to the galvanic replacement reactions
(see Figures S40–S43). Likewise,
the above mechanism for TCOS formation is also valid; that is, surface-anchored
Pd or Pt nanoparticles have a similar protecting role for Cu2OasAu nanoparticles. Accordingly, streamlined MA@TCOS
(MA = Pd, Pt) could be produced, as illustrated in Figures S44–S47, wherein Pt@TCOS has shorter
tails as compared to Pd@TCOS. Again, EDX elemental maps exhibit similar
compositional profiles in these MA@TCOS (MA =
Pd, Pt), except for the different noble metal nanoparticles residing
in their head portions (i.e., MA).As described earlier,
the scientific interest in the streamline
materials is placed on their lower drag in flowing fluids. In this
regard, MA@TCOS (MA = Au, Pd, and Pt) samples
can serve as smart nanocatalysts because the head portion (MA) is catalytically active while the TCOS body ensures a minimum fluid
resistance. To demonstrate such advantages, we used Au@TCOS for catalytic
reduction of 4-nitrophenol to 4-aminophenol.[27] As compared in Figure b,c and Figure S48, the catalysts with
varied geometrical shapes possess different activities: Au@TCOS (long
tail) > Au@TCOS (short tail) > spherical counterpart. In terms
of
rate constants, assuming a pseudo-first-order reaction, Au@TCOS with
a long tail (0.224 min–1) is about two times their
spherical counterpart (0.118 min–1). These findings
are understandable: (i) Au@TCOS experienced a lower drag than the
spheres, leading to a higher relative swimming speed in the stirred
reaction medium, and (ii) the active metal (Au nanoparticles) located
in the Au@TCOS head tended to be refreshed more continuously during
the reactions, thereby facilitating the mass exchange for reactant
and product species on the active sites of the catalyst surface.It is important to recognize that MA@TCOS (MA = Au, Pt and Pd) themselves own a high degree of mesoporosity as
well asthiol functionality which provides strong affinity to other
noble metals (MB). Therefore, streamline MA@TCOS
can be assembled into even more complex nanocatalysts, MA@TCOS@MB, on which multiple metal components MB can be further integrated on their external surfaces. Using Au@TCOS
as a primary support, our investigation has shown that noble metal
clusters of Au, Pd, Pt, and Ag can be further deposited on the MA@TCOS via in situ reduction of metal precursors (e.g., HAuCl4, H2PdCl4, H2PtCl6, and AgNO3) with sodium borohydrideas a reductant, giving
rise to a wide array of MA@TCOS@MB (MA = Au; and MB = Au, Pd, Pt and Ag). For instance, in Au@TCOS@Au
sample, the formed Au nanoclusters (diameter: 1.7 ± 0.2 nm) were
dispersed uniformly on the surface of TCOS (TEM images; Figure f and Figures S49–S51). The (111) lattice fringes of Au are clearly
visible (d111 = 0.23 nm). Similarly, other
MA@TCOS@MB (MA = Au; and MB = Pd, Pt, and Ag) catalysts with excellent controllability were
also prepared (Figures S52–S54).
EDX elemental mappings in Figure a–d clearly indicate the presence of the respective
metals on the entire TCOS surface. In addition, we found that increasing
the concentration of meal precursor yielded larger sized metal clusters
(Figures S55–S57), due to a fixed
amount of thiol groups available for binding the metals.[28] Under the optimal condition, the average size
of Pd, Pt, and Ag nanoclusters immobilized on TCOS support was 1.6
± 0.3, 2.1 ± 0.9, and 2.1 ± 0.3 nm, respectively. Reexamination
of the XPS S 2p spectra shows that the relative intensity ratio of
S–metal to S–H increased drastically after the metal
anchorage (Figure S58). The actual metal
loadings in the final catalysts were analyzed with the ICP method,
which revealed a metal content of 9.85, 4.16, 8.77, and 3.55 wt %
for Au, Pd, Pt, and Ag, respectively. Chemical states of metal in
MA@TCOS@MB catalysts were also investigated
by XPS (Figure g and Figure S59). For all the noble metal species,
two symmetrical 3d or 4f core level peaks were observed, and no other
components could be deconvoluted, revealing that the ionic metals
were completely reduced to their metallic states. For example, the
binding energies of Au 4f7/2 and 4f5/2 were
84.2 and 87.9 eV, respectively, which can be assigned to only Au(0).[29] Moreover, binary Au/Pd clusters, ternary Au/Pd/Ag
clusters, and quaternary Au/Pd/Ag/Pt clusters could also be deposited
by treating TCOS support with a series of metal precursors in sequence.
The resultant integrated nanocatalysts (MA@TCOS@MB, where MB = Au + Pd + Ag + Pt ···; refer
to Table S2) were validated by using TEM,
STEM, and EDX elemental mapping (see Figure e for EDX elemental maps of quaternary Au/Pd/Ag/Pt
clusters on the TCOS and other characterizations in Figures S60–S65), showing a good flexibility of TCOS
to prepare streamlined assemblages of a great number of noble metals
that can work as multifunctional materials.[30,31] On the basis of this work alone, we have studied 48 combinations
of MA and MB for this type of MA@TCOS@MB catalysts (Table S3).
Figure 4
Further compositional
tailoring and performance of streamline catalysts.
(a–d) EDX elemental maps of monometallic Au, Pd, Pt, and Ag
nanoclusters loaded on Au@TCOS support; the photograph in (a) is the
MA@TCOS@MB (MA = MB =
Au) powder catalyst held inside a mortar. (e) EDX elemental maps of
quaternary Au/Pd/Ag/Pt nanoclusters dispersed on Au@TCOS support.
(f) A representative high resolution TEM image of Au@TCOS@Au catalyst;
the inset is the corresponding size distribution of Au nanoclusters
on the external surface. (g) XPS spectra of the different MA@TCOS@MB (MB = Au, Pd, Pt, and Ag, respectively)
catalysts; the spectrum of Au@TCOS is labeled as “support”.
(h) Oxidation of benzyl alcohols catalyzed by different TCOS-supported
metal nanoclusters. (i) Oxidation of seven different aromatic alcohols
catalyzed by Au@TCOS@Au. (j) Catalytic stabilities of Au@TCOS@Pt (for
hydrogenation of n-hexene) and Au@TCOS@Pd (for Suzuki–Miyaura
coupling of iodobenzene and phenylboronic acid). See more TEM images,
XPS spectra, and catalytic data in Supporting Information.
Further compositional
tailoring and performance of streamline catalysts.
(a–d) EDX elemental maps of monometallic Au, Pd, Pt, and Ag
nanoclusters loaded on Au@TCOS support; the photograph in (a) is the
MA@TCOS@MB (MA = MB =
Au) powder catalyst held inside a mortar. (e) EDX elemental maps of
quaternary Au/Pd/Ag/Pt nanoclusters dispersed on Au@TCOS support.
(f) A representative high resolution TEM image of Au@TCOS@Au catalyst;
the inset is the corresponding size distribution of Au nanoclusters
on the external surface. (g) XPS spectra of the different MA@TCOS@MB (MB = Au, Pd, Pt, and Ag, respectively)
catalysts; the spectrum of Au@TCOS is labeled as “support”.
(h) Oxidation of benzyl alcohols catalyzed by different TCOS-supported
metal nanoclusters. (i) Oxidation of seven different aromatic alcohols
catalyzed by Au@TCOS@Au. (j) Catalytic stabilities of Au@TCOS@Pt (for
hydrogenation of n-hexene) and Au@TCOS@Pd (for Suzuki–Miyaura
coupling of iodobenzene and phenylboronic acid). See more TEM images,
XPS spectra, and catalytic data in Supporting Information.Importantly, the synthetic
route for the MA@TCOS@MB is free of using any
capping agents, which ensures the presence
of catalytically active metal surfaces (especially for MB). Along with many ancillary properties (such as highly hydrophilicity,
high mesoporosity, and low form drag, etc.), the as-made TCOS based
catalysts were further tested in several catalytic reactions in order
to show their wide range of applicability in heterogeneous catalysis
with liquid-solution systems. First, we demonstrated their performance
for selective alcohol oxidation to aldehyde (or ketone, acid, etc.),
an important process in pharmaceutical and fine chemical industry.[32] Herein, seven different aromatic alcohols were
used as substrates (Figure h,i and Tables S4–S11).
It was found that Au@TCOS@Au catalyst was effective for most of the
oxidation reactions, especially for the case of benzyl alcohol. For
a given substrate (e.g., benzyl alcohol, Figure h), the catalyst activities are associated
with noble metals in the sequence of Ag > Au > Pd > Pt, based
on comparing
the turn over frequency (TOF). In addition, substituents with different
electronic properties in the phenyl ring and the length of the hydrocarbon
chain in the alcohol substrates were found to exert a certain influence
on the reactivity of the catalytic system (Figure i). Moreover, in Figure j, the 1.6 nm Pd nanoclusters supported on
TCOS showed a very high activity for Suzuki–Miyaura coupling
of iodobenzene and phenylboronic acid, and a high stability of catalyst
was achieved (conversion = 97%, 95%, 96%, 95%, and 94% over five consecutive
runs; Figure S66). Also in Figure j, a similar catalytic performance
was also achieved using the Au@TCOS@Pt for hydrogenation of n-hexene (conversion = 99%, 96%, 96%, 92%, and 92% for the
same repeated runs; Figure S66). The final
morphology of these catalysts was well reserved after the catalytic
reactions (Figure S67). The above examples
demonstrate that our TCOS works well as a support material for noble
metal based integrated nanocatalysts with minimum fluid resistances.
Conclusions
In summary, the roles of particle geometry on fluid-related gas–solid
and solid–solution systems are fundamentally important. Our
current work represents the first example of synthetic preparation
of streamlined nanocomposites (e.g., with a tadpole morphology) with
complex chemical compositions in a tailorable fashion. Significantly,
such streamline-shaped nanocatalysts indeed can reduce fluid resistance
and have elucidated their structural benefits in catalytic applications
compared to other commonly used counterparts. Therefore, we envision
that future development of streamline-based hybrid materials (e.g.,
TCOS), in combination with various functional nanostructured materials
(e.g., MA and MB in MA@TCOS@MB), will play a greater role in the design and synthesis of
new generation catalysts or sorbents for multiphase processes. Apart
from the heterogeneous catalysis studied in the current work, sorptive
separation and chemical sensing could also be future research topics
using this class of materials.
Authors: Yiming Wang; Michael J Counihan; Jeffrey Wayjer Lin; Joaquín Rodríguez-López; Hong Yang; Yi Lu Journal: J Am Chem Soc Date: 2020-11-18 Impact factor: 16.383