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R. Lin et al. / Catalysis Communications 18 (2012) 168–175
Table 2
Atomic concentrations of different elements on glass and PDMS surfaces following immobilization of the nanoparticles in sealed microfluidic reactors (XPS characterization).
Atomic concentrations on glass, %
Atomic concentrations on PDMS, %
Elements
Blank
Aminosilanization
NDS-Ru
NDS-Pd
NDS-Pt
Blank
Aminosilanization
NDS-Ru
NDS-Pd
NDS-Pt
C
N
O
Si
S
Ru
Pd
Pt
22.7
1.0
53.0
10.6
24.0
12.0
N/A
N/A
N/A
N/A
55.5
6.2
24.0
13.9
0.1
0.3
N/A
N/A
54.2
5.0
24.3
16.2
0.2
N/A
0.1
N/A
57.3
8.7
23.7
9.9
45.7
N/A
28.4
25.9
N/A
N/A
N/A
N/A
45.8
6.0
47.0
1.7
30.0
20.0
0.2
0.1
N/A
N/A
47.7
1.9
46.2
1.8
32.0
18.9
0.1
N/A
N/A
1.0
50.7
25.6
N/A
N/A
N/A
N/A
29.0
19.0
N/A
N/A
N/A
N/A
28.3
21.9
0.05
N/A
0.1
0.3
N/A
N/A
0.1
N/A
substrate concentration (Fig. 6), which may be an indication of
physical limits on catalyst performance over the extremely short
residence time (approximately two seconds) over which these
one-pass reactions were conducted in the microfluidic reactor.
By contrast, the conversion achieved with Ru increased significantly
at the highest substrate concentration over the nearly identical levels
observed at the two lower concentrations. The reason for this is not
entirely clear to us at this point. One could speculate that this may be
an indication that Ru has a higher performance saturation ceiling for
conversion of the substrate than either Pd or Pt, even though its overall
conversion is lower. It is also possible that the rate of reaction is a much
stronger function of concentration for Ru than for the other catalysts.
For example, the total amount of substrate converted (estimated simply
as the product of reactant concentration and percent conversion)
increased from low to high substrate concentrations for all three
catalysts, but much more significantly for Ru (Table 3). We are in the
process of acquiring the kinetic data required to fully address these
issues, by conducting similar experiments in Parr reactors. Overall, the
catalyst effectiveness for this reaction may be characterized as
Pd>Pt>Ru, in agreement with other reports in the published literature
We investigated catalyst reactivity upon recycling at all three
substrate concentrations, with each catalyst reused a minimum of
three times. Pd achieved a complete conversion over three consecutive
runs at a substrate concentration at 1 mM (Fig. 8 a). However, the
conversion decreased significantly by the third recycle at substrate
concentrations of 5 and 10 mM. Pt activity remained relatively stable
at a substrate concentration of 5 mM, although there were decreased
conversions after the first run at the other two substrate concentrations
(Fig. 8 b). Ru was recycled three times without significant loss in activity
at substrate concentrations of 1 and 5 mM, but the conversion level
dropped by about 50% after the first run at the substrate concentration
of 10 mM (Fig. 8 c). One possible reason for these decreases is that the
immobilization scheme was unstable, and that the catalyst was leaching
from the interface. To investigate this issue, we did an ionic coupled
plasma-optical emission spectroscopy (ICP-OES) characterization of all
the reactor effluents. We did not detect any metals in the product
mixtures, indicating zero or negligible catalyst leaching and demon-
strating the robustness of the immobilization protocol. Since we ruled
out catalyst leaching as the cause of the observed reductions in catalytic
activity, we are now investigating the possibility of fouling of catalyst
sites and/or catalyst poisoning.
[18,20–23].
We assessed the effect of substrate flow rates on conversion by
keeping the gas flow rate constant at 2.4 mL/min and doubling the
liquid flow rate to 0.2 mL/h, using Pt at substrate concentration of
We observed partial agglomeration of nanoparticles following
their re-dispersion in methanol after synthesis. The formation of
nanoparticle clusters would have the effect of decreasing the overall
surface area and, correspondingly, the number of available catalytic
sites. This would decrease both the reaction rates and conversion
levels. This would mean that the TOF values we estimated for the
microfluidic reactor are low which, in a sense, provides further
evidence of the high efficiency at which the system operates. We
are currently working on improving the transfer of nanoparticles
from synthesis media to solvents friendly to PDMS, to avoid the
possibility of nanoparticle aggregation. We are also investigating the
use of ligands that provide better NP stability upon transfer to
PDMS-friendly solvents, to ensure improved particle dispersion
upon immobilization in the microreactors. This platform significantly
reduces the time required for complete reactions, making the system
a convenient and inexpensive tool for high throughput screening of
catalysts for a variety of purposes.
1
0 mM as an example. We still observed the desired annular flow
pattern, with H in the middle of the channel and the reactant along
2
the walls. However, as would be expected, the liquid film thickness
along the channels increased. We observed a decrease in substrate
conversion at the higher liquid flow rate (Fig. 7), which we attributed
to the shorter residence time in the channel.
We calculated the turnover frequency (TOF), defined as the moles
of product per mole of active catalyst per hour, for each catalyst, and
compared the results to reactions with the same catalysts in a batch
reactor under the same reaction conditions. We calculated the metal
dispersion using particle sizes estimated from HRTEM images, assuming
spherical particles under closed-packed conditions. In all situations, the
TOF values were hundreds of times higher in the microfluidic reactor
than in the batch reactions we ran in flasks at the same temperature
and hydrogen pressure (Table 4). We recognize that, while temperature
and hydrogen pressure were identical in both reactors, the reactant
concentration at any location in the microreactor was essentially
constant with respect to time, whereas it continuously changed in the
flask. So, this TOF comparison is not to imply that the reaction proceeds
in an identical fashion in the two systems. Rather, it is an indication of a
much more efficient system for catalyst evaluation, in terms of both
materials and time. In essence, the much higher TOF value provides
validation that the high surface area to volume ratios afforded by the
combination of nanocatalysts and microfluidics promotes much better
access to catalytic sites. Coupled with the much shorter residence
times required for complete reactions (on the order of seconds rather
than hours), the system has great potential for high throughput screening
of catalysts.
4. Conclusions
We have integrated catalytic nanoparticles with microfluidics, and
developed a reliable protocol for immobilization of nanocatalysts in
sealed microreactors. The immobilization procedure is reproducible
and robust, and promotes catalyst recovery and reuse. We have
demonstrated that the system can be used with great efficiency to
evaluate intrinsic catalytic activity for multiphase hydrogenation
reactions, and to assess kinetic parameters such as catalyst turnover
frequencies. The integration of well-defined nanocatalysts and micro-
fluidics provides an excellent platform with great potential for high
throughput screening of catalysts and for mechanistic studies of reaction
kinetics.