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The influence of the metal complex on the protonation of
Zirconium(IV) is a group one cation (high conversion, but
only 5% HMF) with a pKa value of À0.3 and empty d orbitals.
In aqueous solution, zirconium(IV) has the coordination
number 8 and is coordinated by water and hydroxyl ligands.[22]
The high Brønsted acidity should hinder the reaction, whereas
the empty d orbitals appear perfectly suited for the reaction.
Because zirconium(IV) has a high conversion rate but only
a low HMF yield [similar to copper(II) and iron(III)] and a high
yield of LA, we assumed, in view of the strong Brønsted acidity
of the cation complex, that the reaction is acid catalyzed and
thus takes a pathway different from the one described in this
study; there may also be subsequent acid-catalyzed reactions
that reduced the yield of HMF.
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O5 in PT1 was also plotted (Figure 6, ). Compared to the un-
catalyzed reaction, the protonation energy rises with decreas-
ing pKa values, but the influence of the metal cation is less ap-
parent than in the case of deprotonation. Acidic metal cations
that also have a high Lewis acidity better stabilize the depro-
tonated O1 atom of the glucopyranose complex. This results in
a longer C1ÀO1 and a shorter C1ÀO5 bond, which makes it
harder to protonate O5 [(C1ÀO5 bond lengths=1.41 (uncata-
lyzed)>1.38 ([MgO1O2(H2O)4]2+)>1.35 ([AlO1O2(H2O)4]3+)ꢀ1.35
([CrO1O2(H2O)4]3+)ꢀ1.36 ꢂ ([FeO1O2(H2O)4]3+). Again, the differ-
ence between the cations iron(III) and aluminum(III) is rather
small when the difference in their pKa values is considered
(DDG(PT1-prot)=2.6 kcalmolÀ1), whereas 5.9 kcalmolÀ1 are
gained for aluminum(III) versus copper(II).
Bismuth(III) is a group two cation. Experimentally, the cation
is coordinated in water with three hydroxyl and three water li-
gands at pH 7.[22] Its strong Brønsted acidity makes it likely that
the reaction again follows proton-catalyzed pathways.
Hydrogen transfer
Comparison with previous computational studies
Analogously to the deprotonation of O1, the TS2 barrier is
The only previous study performed in water[6g] employed
CPMD simulations to investigate two Cr3+ species [Cr-
(H2O)5OH]2+ together with one glucose molecule in a box of
water. Similar to our case, the first solvation shell around the
metal cation consisted of six oxygen atoms, with the O1 and
O2 hydroxyl groups of glucose able to bind to the metal
cation. For the monomeric complex, an association with glu-
cose was found to be more favorable than a hydrogen-bond-
ing interaction. The dimeric catalyst complex did not coordi-
nate to glucose, but separated into two monomers during the
course of the simulation. These results are in agreement with
our findings of an unfavorably high energy for dimer formation
and higher TS2 barriers for chromium(III) dimers compared to
monomers. However, there are also differences. In the previous
study,[6g] a metal complex with one hydroxyl ligand was pro-
posed as the active catalyst. The hydroxyl ligand was reported
to deprotonate O2 before TS2 and to protonate O1 after TS2,
analogous to our findings for the proton transfers DP2 and RP2.
From an Arrhenius plot, the activation energy was estimated
to be 15 kcalmolÀ1 at 413 K. In our calculations for a reasonable
analogue, the [CrO1O2(H2O)3OH]2+ catalyst, the deprotonation
step PT2 (after TS2) was found to require less energy than the
steps DP2, TS2, and RP2. Using thermodynamic cycles to treat
the proton transfers, we arrived at an activation barrier of
34 kcalmolÀ1 for the rate-determining step, with the hydrogen
transfer alone already requiring an activation of 27 kcalmolÀ1
(relative to an open-chain glucose molecule). Because our ex-
periments detected only slow or no conversion at tempera-
tures lower than 1208C, barriers around 30 kcalmolÀ1 would
seem reasonable, whereas a barrier of 15 kcalmolÀ1 could al-
ready be easily overcome at room temperature. There is no
clear explanation for the large difference between the two
computed activation energies (except for noting the obvious,
namely that the chosen computational procedures are quite
different).
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lower for metal complexes with a lower pKa value (Figure 6, ).
For pKa <6 the change in transition-state energy is less pro-
nounced than for higher pKa values. For example, 13.5 kcal
molÀ1 are gained when going from Cu2+ to Al3+ (DpKa =2.5),
whereas only 2.7 kcalmolÀ1 are gained between Al3+ and Fe3+
(DpKa =3.3).
The same analysis has been performed for ligand systems
with 0–3 chloride ligands (Figure 6). Chloride ligands increase
the energy for the deprotonation of O1 and for TS2, but slight-
ly lower the energy for the protonation of O5. This is to be ex-
pected because chloride ligands lower the Brønsted and Lewis
acidity of the catalysts. The same holds for hydroxyl ligands.
It seems that once a certain Lewis and Brønsted acidity is
reached (pKa =4–6), the influence of the metal cation on
a given ligand system is small and a limit of improvement is
approached. Low yields for acidic catalysts below this pKa
threshold must be explained by other factors, for example,
their ligand system or electron configuration. Catalysts with
lower pKa values can also access other pathways (mainly
proton catalyzed).
We conclude that aluminum(III) and chromium(III) cations
work successfully for the reaction, because their Brønsted and
Lewis acidity is high enough to catalyze the PT1 and TS2 steps
well, but not so high that they would exist mainly in their de-
protonated form and attract multiple chloride ligands. These
cations also have empty orbitals, which allows them to accept
electron density during the reaction (when needed). On the
other hand, iron(III) seems to be too acidic, thus favors com-
plexes with too many hydroxyl and chloride ligands, and its
prevalent high-spin complexes are not well suited to act as
electron acceptors. Copper(II) and magnesium(II) do not have
sufficient Lewis acidity to be effective.
To conclude this report, we return to the experimental re-
sults. More metal cations were investigated experimentally
than were explored in the computational study, thus we
checked if our qualitative notions could rationalize the results
for these additional cations.
All other previous computational studies were carried out in
ionic liquids.[7,8] In these solvents, there are different active spe-
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Chem. Eur. J. 2014, 20, 1 – 13
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ꢁ 2014 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim
ÝÝ These are not the final page numbers!