P. Valvekens et al. / Journal of Catalysis 317 (2014) 1–10
3
[44], followed by a single point energy computation at the PBE-D3
level of theory. The projector augmented wave approximation
(PAW) [45] was used. Brillouin zone sampling was restricted to
the U-point. Gaussian smearing [39] was applied to improve con-
vergence: 0.05 eV for cell optimizations and energy calculations.
For the cell optimizations, the convergence criterion for the elec-
tronic self-consistent field (SCF) problem was set to 10À6 eV, while
the atomic forces were converged below 0.01 eV/Å (structures are
reported in Supporting information). For the further applications,
the cell parameters were kept fixed, the kinetic energy cutoff
was lowered to 400 eV, and the atomic force criterion was set on
0.03 eV/Å (for the adsorption and deprotonation reactions).
Furthermore, we used spin polarization throughout all calculations
applying the most stable spin state for the metal in gas phase for
every metal atom in the crystal. The reported adsorption and
deprotonation energies do not include zero-point vibrational ener-
gies or thermal corrections.
Scheme 1.
In a first exploratory survey of the nature of the active site,
adsorption energies of some basic probe molecules on the coordin-
atively unsaturated sites (cus) were calculated. Therefore, we used
the methodology as outlined above for the periodic structure cal-
culations. Another bulk property, which is indicative for the base
strength, is the proton affinity of the material (PA). Periodic calcu-
lations fail in reproducing accurate proton affinities or deprotona-
tion energies of periodic materials, due to the charge of the proton
induced in the unit cell when adding or removing a proton from
the framework; therefore, cluster calculations were preferred.
The cluster models were cut from the optimized periodic struc-
tures (see Fig. S.2), which in turn are further optimized with the
Gaussian09 package [46], using the B3LYP hybrid functional
[47,48] including D3 Grimme corrections for the van der Waals
interaction [44]. The double-zeta Pople basis set 6–31g(d) was
used for all atoms. By fixing the outer carboxyl oxygen atoms, we
maintained the rigidity of the cluster model as in the crystal. The
manipulation of the periodic structure files and the cluster models
was performed using ZEOBUILDER, an in house developed software
tool for building complex molecular structures [49]. Partial Hessian
vibrational analysis has been post-processed using the program
TAMKIN [50].
Knoevenagel condensation, we found experimentally an overall
order of activity of Ni > Cu > Mg ꢀ Zn > Co. Replacing MN by the
more weakly acidic ECA as donor, the conversion occurs signifi-
cantly more slowly, and after 2 h, no clear discrimination between
the yields over the various catalysts can be extracted. Very roughly,
we found following order of activity: Ni ꢀ Mg ꢀ Zn > Co ꢀ Cu (see
Table 1). The lower reactivity of ECA vs. MN was also observed in
other catalytic studies [54,56,57].
To investigate whether similar activity trends can be observed
in other base-catalyzed reactions, an additional Michael addition
of ethyl cyanoacetate to methyl vinyl ketone (Scheme 1) was
attempted with the same series of catalysts (Table 1). Despite the
relatively weak acidity of ethyl cyanoacetate, high conversions
are observed, with again the Ni variant as the most active member
of the catalyst series.
3.2. Detailed study of reactions with the Ni2dobdc catalyst
In view of its high activity, the Ni2dobdc catalyst was employed
for studying the reactivity of different starting compounds, in an
attempt to obtain more insight in how the reactants are activated.
To this end, both the Knoevenagel condensation and the Michael
addition reactions were performed in toluene at 110 °C. In the
Knoevenagel condensations with benzaldehyde (Table 2), active
methylene compounds were tested with pKa values ranging
between 11.1 and 16.4. When varying the donor molecules, their
pKa is clearly decisive for the conversion rates (entries 1–4); the
highest conversion was observed for the most acidic compound,
MN, while both ethyl acetoacetate and diethyl malonate show
much lower conversions. Variation in the acceptor molecules
shows that the presence of a methyl substituent on the carbonyl
group, like in acetophenone, decreases the reactivity of this mole-
cule, which is probably due to steric hindrance (entry 5). Reactions
with cyclopentanone and cyclohexanone (entries 6 and 7) demon-
strate the possibility to use also cyclic aliphatic ketones as reac-
tants in Knoevenagel condensation reactions catalyzed by
Ni2dobdc.
While the reactivity of the donor molecules in the Knoevenagel
condensation is dominated by the pKa of these molecules, the
donor reactivity order in the Michael addition reactions over Ni2-
dobdc is more complex (Table 3). At first glance, there appears to
be a reversal in the expected, pKa-based reactivity order: in these
Michael reactions, the lowest conversions were observed for the
most acidic donor molecule, malononitrile (entry 1), whereas the
highest conversion, even after short time, was observed for the
not so acidic ethyl acetoacetate (entry 4). The conversion of diethyl
malonate, the least acidic compound (entry 5), is, however, again
3. Results and discussion
3.1. Activity of M2dobdc materials with various structural cations
All materials were synthesized and pretreated according to lit-
erature procedures, and PXRD patterns and BET surface areas of the
synthesized materials can be found in Fig. S.1 and Table S.1.
Knoevenagel condensations are widely studied for MOFs, and some
excellent catalysts have already been reported. These range from
purely basic MOFs with N-functionalized groups [4,9,51], to MOFs
featuring Lewis acid active sites such as Cu3(BTC)2, Fe3(BTC)2 or
Ni4(MTB)2 (H3BTC = trimesic acid, H4MTB = methanetetrabenzoic
acid) [52–55]. The catalytic activity of M2dobdc in some typically
base-catalyzed reactions was therefore first evaluated via the
Knoevenagel condensation of malononitrile (MN) and benzalde-
hyde (BA) (as shown in Scheme 1) and of ethyl cyanoacetate
(ECA) and benzaldehyde. In order to take into account the lower
atomic weight of magnesium compared to the transition metal
ions tested, the amount of Mg2dobdc used in these tests was
adapted accordingly. The catalytic data (Table 1) show a distinct
influence of the metal ion on the performance of the catalyst, with
a clear preference for Ni2dobdc (entry 3) as the most active mate-
rial in the reaction of MN and BA. These trends are based on initial
rates (X2h), which should be only minimally affected by the
possible adsorption of the reaction products. For the MN + BA