The reactions of [γ-SiW10O36](8-) represent one of the most important synthetic gateways into a vast array of polyoxotungstate chemistry. Herein, we set about exploring the transformation of the lacunary polyoxoanion [β2-SiW11O39](8-) into [γ-SiW10O36](8-) using high-resolution electrospray mass spectrometry, density functional theory, and molecular dynamics. We show that the reaction proceeds through an unexpected {SiW9} precursor capable of undertaking a direct β → γ isomerization via a rotational transformation. The remarkably low-energy transition state of this transformation could be identified through theoretical calculations. Moreover, we explore the significant role of the countercations for the first time in such studies. This combination of experimental and the theoretical studies can now be used to understand the complex chemical transformations of oxoanions, leading to the design of reactivity by structural control.
The reactions of [γ-SiW10O36](8-) represent one of the most important synthetic gateways into a vast array of polyoxotungstate chemistry. Herein, we set about exploring the transformation of the lacunary polyoxoanion [β2-SiW11O39](8-) into [γ-SiW10O36](8-) using high-resolution electrospray mass spectrometry, density functional theory, and molecular dynamics. We show that the reaction proceeds through an unexpected {SiW9} precursor capable of undertaking a direct β → γ isomerization via a rotational transformation. The remarkably low-energy transition state of this transformation could be identified through theoretical calculations. Moreover, we explore the significant role of the countercations for the first time in such studies. This combination of experimental and the theoretical studies can now be used to understand the complex chemical transformations of oxoanions, leading to the design of reactivity by structural control.
The chemistry of polyoxometalates
(POMs) has been the subject of
considerable interest since the 1960s.[1,2] However, the
true understanding of the processes by which these discrete metal-oxide
nanoclusters speciate and assemble remains one of the most challenging
analytical problems in the field. Compared to other well-known self-assembling
inorganic, supramolecular, and coordination clusters,[3−6] a rigorous mechanistic interpretation of the means by which POMs
can assemble—and more specifically, how this can be exploited—has
yet to be achieved. Such information would both aid in the design
of new syntheses and inform our understanding of their rich chemical
properties. This is still a somewhat distant goal and has attracted
substantially less attention in recent years than the often loosely
targeted synthesis of new and increasingly complex transition-metal-substituted
POM clusters.[7−9] Largely, this problem can be attributed to the lack
of appropriate analytical “handles” in these systems
or the availability of techniques possessing both the appropriate
resolution (i.e., those capable of discerning clearly between similar
species in solution) and time scale (i.e., seconds to minutes) to
follow these dynamic processes as they occur.One approach which
has emerged in recent years as a promising tool
to probe the assembly of POM species is the use of electrospray (ESI-MS)
and cryospray (CSI-MS) mass spectrometry.[10,11] These “soft-ionization” approaches are unique in that
they allow for well-defined resolution of multiple closely related
species (as opposed to other common spectroscopic techniques such
as UV–vis or IR) and can provide clear, well-resolved “snapshots”
of a given system on a time scale down to within tens of seconds if
necessary.[12−16] POMs, in particular, are especially well-suited for ESI-MS analysis
owing to their high charge and generally good solubility, and recent
years have seen a more concerted effort to apply these methods toward
unravelling some of the complex solution behavior, stability, and
self-assembly of these species.[17−19] It is nevertheless important
to note that previous successful studies have relied on the judicious
use of complementary techniques such as single-crystal X-ray diffraction
to achieve the greatest impact.However, while a detailed structural
understanding undeniably underpins
the majority of ESI-MS studies on POMs (as it does herein also), one
of the more effective strategies to have recently emerged is the combined
use of mass spectrometry and computational approaches to help both
identify and rationalize the behavior of these fascinating cluster
species.[20] To date, this dual approach
has been especially instrumental in helping to understand the early
stage aggregation and assembly of POM clusters,[21−23] though it is
noteworthy that the majority of these pioneering studies employed
a somewhat postfactual, fragmentation-based analysis rather than a
true, bottom-up or experimentally directed approach. This has, however,
hindered the study of more subtle or complex transformations between
distinct cluster species in solution—fundamental processes
which are becoming increasingly important as the application of POMs
in areas as diverse as biochemistry, energy storage, and electronic
engineering continues to grow.[24−26] Exploring the speciation and
transformation of these species is therefore neither trivial nor a
niche pursuit and should represent an important goal in the continued
development of this chemistry well into the 21st century.While
there is, therefore, a wide array of potentially functional
polyoxometalate species to target for study, one key system which
has long been exploited for its unusually rich structural diversity
and speciation behavior is that of the lacunary silicotungstates based
on the parent [SiW12O40]4– Keggin-type anion (Scheme ). In particular, the dilacunary [γ-SiW10O36]8– cluster has long been employed
as a structurally flexible precursor in the synthesis of an ever increasing
library of metal-functionalized POM clusters and possesses the richest
speciation chemistry of all lacunary polyoxoanions,[27] with products regularly including {SiW6},[28] {SiW8},[29−31] {SiW9},[19,32] {SiW10},[33,34] and {SiW11} fragments having been previously reported.[35] This structural flexibility has also been adopted
in the synthesis of an array of structurally unique, high nuclearity
transition-metal-substituted polyoxometalates (TMSPs).[36−40] Indeed, this precursor has been key in the development of several
state-of-the-art functional materials including the {Ru4(SiW10)2} water oxidation catalyst (WOC),[41] which has been studied in great detail as one
of the most promising Ru-based WOCs developed thus far.[42] This is in addition to the use of {γ-SiW10} for the direct epoxidation of olefins[43] or as a platform for the synthesis of single-molecule magnets,[44] while recent work has also demonstrated the
formation of self-assembled monolayers of silicotungstate derivatives
on Ag(111)[45] and the synthesis of catalytically
active Pt-incorporating derivatives.[46] Understanding
the fundamental behavior of these metal-oxide building blocks, particularly
in the solution state (where POMs are increasingly exploited as homogeneous
catalysts for instance), will therefore only increase in importance
as applications for these materials continue to grow.
Scheme 1
Diagram
Showing the Rich Structural Diversity, Applications, and
Speciation Behavior of the Dilacunary {γ-SiW10O36}
Top left: Ru-derived {Ru4Si2W20} is a highly promising water
oxidation catalyst, and Mn-derived compound {Mn6Si2W18} is a MnII/III-based single-molecule
magnet. Top right: several examples of high-nuclearity transition-metal-substituted
polyoxometalate clusters. Bottom: Remarkable isomerism of tungstosilicate
species showing the relationships between different known structures.
Color code for polyhedra: W = teal, Si = orange; ball-and-stick: O
= red, Ru = black, Mn = lavender, Cu = green, Ti = white.
Diagram
Showing the Rich Structural Diversity, Applications, and
Speciation Behavior of the Dilacunary {γ-SiW10O36}
Top left: Ru-derived {Ru4Si2W20} is a highly promising water
oxidation catalyst, and Mn-derived compound {Mn6Si2W18} is a MnII/III-based single-molecule
magnet. Top right: several examples of high-nuclearity transition-metal-substituted
polyoxometalate clusters. Bottom: Remarkable isomerism of tungstosilicate
species showing the relationships between different known structures.
Color code for polyhedra: W = teal, Si = orange; ball-and-stick: O
= red, Ru = black, Mn = lavender, Cu = green, Ti = white.Similarly, the synthesis of [γ-SiW10O36]8– is in itself interesting,[47] specifically in that the synthetically simple
one-pot transformation
from the [β2-SiW11O39]8– (see Scheme , bottom) precursor involves both a change in nuclearity and
an ill-defined β to γ isomerization step, which formally
involves the rotation of one {W3} triad unit in the cluster
shell (see Figure S1 for more information).
Despite the ubiquity of the [γ-SiW10O36]8– anion as a precursor in POM chemistry, however,
the formation of this cluster—and more significantly, the fundamental
processes and structural transformations by which it occurs—remains
remarkably understudied, and to the best of our knowledge, only one
attempt has thus far been made to rationalize this previously.[48]Herein, we present a comprehensive, bottom-up
study of the synthesis
of [γ-SiW10O36]8– from
the parent [β2-SiW11O39]8– anion by employing time-resolved ESI-MS as a means
to direct a complementary and detailed theoretical analysis. In this
way, we aim to unravel the mechanism by which this important precursor
species is formed in solution and, furthermore, discern new information
about the diverse chemistry of this anion.
Results and Discussion
Initial
Screening and Time-Resolved ESI-MS Studies
Time-resolved
electrospray ionization mass spectrometry (ESI-MS)
was employed to measure the transformation of K8[β2-SiW11O39] into K8[γ-SiW10O36] over the course of 20 min upon addition of
aqueous K2CO3 (following the method previously
reported by Canny et al. performed at one-quarter scale).[47] In order to ensure that the results of these
measurements were broadly comparable, a generalized procedure for
the sampling and analysis of the reaction was created. Twenty microliter
aliquots of the reaction mixture were collected at predetermined time
intervals, diluted in an additional 1.0 mL of H2O, and
immediately transferred to the spectrometer for subsequent measurement
under uniform instrument parameters. It is important to note at this
point that the ESI-MS data presented here are, at best, pseudoquantitative
in the strictest sense and should not be taken to give a precise overview
of the true solution composition. That said, however, the genuine
qualitative trends which emerge from these gas-phase measurements
are highly significant in helping to reveal the solution behavior
of these compounds and thus direct the additional computational studies
discussed below. Similarly, while absolute structural information
cannot be obtained by ESI-MS measurements alone, the stoichiometry
of the observed fragments is particularly useful in helping to infer
which possible isomeric configuration (i.e., β or γ) the
anionic fragments may possess.Prior to screening of the reaction
mixture, we performed initial control measurements in the m/z range of 1000–1500 in order
to account for both the in-source fragmentation of the {β2-SiW11} starting material under our chosen source
settings and any initial solution-phase speciation at the reaction
start point in order to provide a useful “baseline”
for comparison (Figure S2). Interestingly,
we were surprised to note the extensive fragmentation/speciation of
this cluster across multiple cone voltages (see Table S1), even prior to the addition of base (i.e., the notional
start point of the reaction), and several key observations can be
made from this alone. In particular, the very high abundance of those
envelopes falling in the range of m/z 1120–1180, which correspond to various mixed salts of [SiW9O34]10– fragments (see Table ).[49] This is in contrast to the very low initial abundance of
stoichiometrically correct [γ-SiW10O36]8– species in the mass spectrum, which, while
detectable in the range of m/z 1315–1345
(indicating that a small amount of product is present even before
addition of base), are far superseded by similarly stoichiometrically
correct [β-SiW10O37]10– fragments (in the range of m/z 1240–1300).
Table 1
Assignment of the
Key Species Identified
during the Course of the Time-Resolved ESI-MS Measurementsa
anion
m/z (obs)
z
assignment
m/z (calcd)
{SiW9}
1128.6
2–
{NaH7[SiW9O34]}
1128.7
1148.7
2–
{Na2H6[SiW9O34]·H2O}
1148.7
1156.6
2–
{KNaH6[SiW9O34]·H2O}
1156.7
1158.6
2–
{KNa2H5[SiW9O34]}
1158.7
1167.6
2–
{KNa2H5[SiW9O34]·H2O}
1167.7
1175.6
2–
{K2NaH5[SiW9O34]·H2O}
1175.7
{β-SiW10}
1244.6
2–
{NaH7[SiW10O37]}
1244.7
1254.1
2–
{NaH7[SiW10O37]·H2O}
1253.7
1264.6
2–
{Na2H6[SiW10O37]·H2O}
1264.7
1273.1
2–
{KNaH6[SiW10O37]·H2O}
1272.7
1283.5
2–
{KNa2H5[SiW10O37]·H2O}
1283.6
1291.5
2–
{K2NaH5[SiW10O37]·H2O}
1291.6
{γ-SiW10}
1319.5
2–
{K5H[SiW10O36]}
1319.6
1330.5
2–
{K5Na[SiW10O36]}
1330.6
1338.5
2–
{K6[SiW10O36]}
1338.5
{β-SiW11}
1399.5
2–
{KNa2H3[SiW11O39]·2H2O}
1399.6
1408.5
2–
{K3NaH2[SiW11O39]}
1408.6
1419.5
2–
{K3Na2H[SiW11O39]}
1419.6
1427.5
2–
{K4NaH[SiW11O39]}
1427.5
Both calculated and observed m/z values refer to the most intense, or
monoisotopic, peaks in the isotopic envelope.
Both calculated and observed m/z values refer to the most intense, or
monoisotopic, peaks in the isotopic envelope.From this initial screening, four key anion species
can therefore
be identified in the higher m/z range
of the spectrum, which correspond to the {β-SiW11} precursor, {γ-SiW10} product, and two possible
intermediate species, {β-SiW10} and {SiW9}. Interestingly, in the only previous discussion regarding the formation
of the {γ-SiW10} anion, Kortz et al. proposed a stoichiometrically
identical {β-SiW10} species as the key intermediate
based on the isolation of a disubstituted {β-Ni2SiW10} fragment from the reaction of {γ-SiW10} with Ni2+ cations.[37] While
this interesting hypothesis certainly follows logically, based on
these previous findings, the relative rarity of such fragments (suggesting
possible instability in solution) certainly does not preclude an alternative
mechanism. The relative overabundance of {SiW9} fragments
in our initial ESI-MS experiments is therefore of considerable interest,
and indeed, a plausible case can also be constructed for the formation
of {γ-SiW10} via a {SiW9} intermediate.
While this may at first-principles appear to be somewhat less favorable
owing to the necessity for the initial loss of two tungsten centers
rather than one (though we note that overall loss of a ditungstate
fragment in the reorganization of silicotungstate species has been
experimentally observed before),[19,31] the key isomerization
step between the β- and γ-conformations during the reaction
can, in fact, be postulated to occur by the breaking and re-forming
of a single W–O bond when proceeding through
a {SiW9} intermediate. This is in contrast to the rather
more convoluted β to γ isomerization associated with a
possible {SiW10} intermediate, which would require the
breaking and re-forming of two separate groups of W–O bonds
in tandem with the loss of an additional O atom (Figure S3). We are therefore presented with two possible mechanistic
pathways (Scheme )
whereby the likelihood of each can be interrogated by exploring the
behavior of these key species under a time-resolved ESI-MS approach.
Scheme 2
Hypothesized Mechanisms for the Transformation of [β2-SiW11O39]8– into [γ-SiW10O36]8–
Details: (i) The two-step
mechanism first proposed by Kortz et al., which proceeds through a
single {β-SiW10} intermediate and (ii) an alternative
three-step mechanism which involves an isomerization event between
two {SiW9} intermediate species. Solid lines highlight
speciation/nucleation events, whereas dotted lines represent isomerization
steps. Color code: W = teal, Si = orange, O = red. Gray polyhedra
are used to differentiate W centers belonging to rotated {W3} triads.
Hypothesized Mechanisms for the Transformation of [β2-SiW11O39]8– into [γ-SiW10O36]8–
Details: (i) The two-step
mechanism first proposed by Kortz et al., which proceeds through a
single {β-SiW10} intermediate and (ii) an alternative
three-step mechanism which involves an isomerization event between
two {SiW9} intermediate species. Solid lines highlight
speciation/nucleation events, whereas dotted lines represent isomerization
steps. Color code: W = teal, Si = orange, O = red. Gray polyhedra
are used to differentiate W centers belonging to rotated {W3} triads.A number of ESI-MS spectra were
thus obtained which allowed for
the construction of a series of pseudo-real-time “snapshots”
of the reaction progress over the course of 20 min from the first
addition of base to the precipitation of the product by addition of
KCl, that is, the notional start and end points of the reaction (Figure ). In this way, the
unique power of mass spectrometry to yield discrete signals for mixtures
of species with otherwise highly similar chemical/physical properties
allowed us to easily track the fate of each of the key species independently.
Indeed, since these are primarily delineated by the loss/gain of heavy
W atoms and, therefore, enjoy relatively broad separation in the corresponding
mass spectra, this allowed clusters of individual peak envelopes to
be grouped, in the main, by the identity of the anion itself. Note
that our analysis focused exclusively on the region of the spectra
in which intact, doubly charged cluster species could be identified
(see Table and Figure ) as this gave, by
far, the clearest picture of the key cluster species in the reaction.
Several triply charged species can be identified in the lower m/z region of the spectra; however, these
were often badly obscured by overlapping singly and doubly charged
fragements and thus presented a considerable analytical challenge.
Several interesting observations arise from these time-resolved measurements.
First, we are able to demonstrate the formation of {γ-SiW10} from the {β2-SiW11} precursor
directly as a function of time. Our results show that, while {γ-SiW10} appears to be present in low amounts even when the starting
material is simply dissolved in water, addition of base rapidly causes
conversion of {β2-SiW11} into {γ-SiW10}, and this process appears to effectively reach completion/equilibrium
after ca. 10 min at pH 9.1 (Figure ), at which point the combined ion count (CIC)[50] of both species is shown to essentially plateau
for the remaining reaction time.
Figure 1
Time-resolved ESI-MS spectra pertaining
to aliquots of the reaction
mixture during the formation of {γ-SiW10}.
Figure 2
Plot of combined ion count values for the {β-SiW11} starting material vs the {γ-SiW10} product
and
the proposed {SiW9} intermediate. The dashed vertical lines
on the plot indicate the point in the reaction coordinate at which
either base (left) or KCl (right) is added. The lines of best fit
are provided primarily as a guide for the eye.
Time-resolved ESI-MS spectra pertaining
to aliquots of the reaction
mixture during the formation of {γ-SiW10}.Plot of combined ion count values for the {β-SiW11} starting material vs the {γ-SiW10} product
and
the proposed {SiW9} intermediate. The dashed vertical lines
on the plot indicate the point in the reaction coordinate at which
either base (left) or KCl (right) is added. The lines of best fit
are provided primarily as a guide for the eye.More interestingly, a plot of the CIC values for the group
of related
envelopes identified as {SiW9} fragments (see Table ) shows markedly different
behavior when compared to both the precursor and product clusters
(Figure ). In this
case, the relative abundance of {SiW9} actually slightly
increases over the first few minutes of the reaction (up to t ≈ 3 min) before gradually decreasing (though only
by less than 10% total) up to t = 10 min. This is
in marked contrast to both the {β2-SiW11} and {γ-SiW10} envelopes, which change dramatically
in intensity over this time frame (by a factor of more than 3 and
4, respectively), indicating that the observed {SiW9} species
must be playing some other role in this system and cannot be explained
merely as a direct fragment of either the starting material or product
(Figure and Figure S4). Furthermore, from t = 10 min onward, the CIC of these {SiW9} species then
decreases significantly, though only once the abundance of both {β2-SiW11} and {γ-SiW10} appears
to have plateaued. Note that this is also in direct contrast to the
behavior of the other most significant fragment in the mass spectra,
{β-SiW10}, which decreases sharply and tracks well
with the same overall decrease in the parent anion {β2-SiW11} (see Figure S5).It is important to emphasize that we cannot say with absolute certainty
whether these fragments are simply ionization products or genuinely
reflective of the solution composition (or, as appears more likely,
arise as a combination of both effects), even at the relatively mild
ionization parameters used in these experiments. That said, the qualitative
trends in their abundance when viewed relative to each other are often
indicative of their origins. We can therefore reasonably propose that
the {β-SiW10} species is most likely attributed to
the direct fragmentation of the {β2-SiW11} precursor within the spectrometer and is thus significantly less
likely to be mechanistically relevant in the formation of the final
product, {γ-SiW10}. This would also suggest that
any {β-SiW10} species formed by the hydrolysis/fragmentation
of {β2-SiW11}—in which one of the
W atoms notionally has three terminal oxygen ligands—should
not be especially favorable or long-lived, and this appears to be
borne out in both our measurements and in the literature, where the
only known examples of {β-SiW10} moieties to date
have been found in transition-metal-substituted clusters in which
coordination of additional metal cations has stabilized the POM.This further strengthens the case for the hypothesis that the reaction
may be proceeding through a trilacunary {SiW9} intermediate
rather than more directly through the dilacunary {β-SiW10} species (though we would note that it cannot clearly be
ascertained through these data alone whether the hydrolysis of {β2-SiW11} proceeds via {β-SiW10}
as a short-lived intermediate or forms the {β-SiW9} species directly). Additionally, it is worth remarking that, in
a purely qualitative sense at least, this behavior is not too far
removed from the kinetic model one might expect of a classic first-order
consecutive reaction. Of course, additional in-source fragmentation
complicates this picture and must be taken into account to explain
the significantly higher abundance of intermediate {SiW9} species and the deviation these additional phenomena might cause
from a more realistic or quantitative model, which for these reasons
cannot be employed herein.It can therefore be argued that the
time-resolved ESI-MS measurements
reported herein suggest that a mechanism centered on a {SiW9} intermediate appears to be the most plausible; however, it also
highlights the limitations of the technique. Unfortunately, given
the identical stoichiometry of the potentially key {β-SiW9} and {γ-SiW9} intermediates involved in
the crucial isomerization step, no further information can be gained
by ESI-MS study alone. It does, however, allow us to perform a highly
targeted, complementary computational study which might otherwise
involve a potentially intractable (or at best highly time-consuming)
search through a large computational parameter space.
Theoretical
Validation of the Hypothetical Reaction Mechanism
To further
demonstrate the viability of the trilacunary {SiW9} intermediate
and gain insight in the isomerization mechanism,
we have performed theoretical calculations using both standard density
functional theory (DFT) and molecular dynamics (MD) (classical and
Car–Parrinello) approaches. As described above, the overall
reaction [β2-SiW11O39]8– → [γ-SiW10O36]8– can be formally separated into three distinct steps:
(1) removal of the formal fragment [W2O5]2+ from the monolacunary species,[51] (2) β to γ isomerization of the trilacunary {SiW9} species, and (3) formal addition of the [WO2]2+ unit to [γ-SiW9O34]10– to give the final anion [γ-SiW10O36]8– (Scheme ). As we have already shown in previous studies,[21,22,52] the coordination number of metal
ions in mononuclear and binuclear tungstates and molybdates is highly
variable, with many isomers coexisting in solution. In fact, a unit
such as [WO2]2+ cannot exist as-is in aqueous
solution, and coordination of W is completed via bonding to water
and/or hydroxyl groups depending on the pH of the solution. The complete
characterization of these species in solution is underway but is outside
the present scope of this work. Here, we have focused primarily on
identifying and analyzing the energy barrier of the isomerization
between the two hypothesized {SiW9} intermediates.Once the possible isomerization path for the proposed {SiW9} intermediate was analyzed, we realized that it was also necessary
to obtain a better understanding of the interplay between the associated
cations and the anionic clusters. The role of the countercation is
often neglected when performing mechanistic studies, especially when
heavy atoms are involved and, in this case, the interaction of the
cations with the main silicotungstate anions is shown to be of significant
importance.Indeed, early work on these clusters has shown how
the precise
nature of the cation cannot be overlooked, and that, for instance,
in the presence of monovalent cations smaller than K+,
{γ-SiW10} will spontaneously revert to a mixture
of {β-SiW11} clusters in solution.[52] We therefore chose to first study the behavior of the key
K10[β-SiW9O34] and K10[γ-SiW9O34] systems in explicit water
in order to evaluate the potential effect of the counterions in the
structural and electronic properties of the highly charged trilacunary
species. Idealized structures for [β-SiW9O34]10– and [γ-SiW9O34]10– were optimized using the BP86 functional (+Grimme
correction) and a Slater TZP basis set. In these calculations, the
stabilizing effects of the solvent and counterions were considered
with the COSMO approach (see Figure S6 and Table S2 for the most characteristic structural and electronic parameters).
Then, the distribution of countercations around each of the anions
was analyzed using classical MD simulations in a water box with dimensions
of 20 × 20 × 20 Å3 and containing 247 water
molecules. Figure plots the 10 K+···Si distances between
the K+ ions and the Si atom of the trilacunary {SiW9} anions for 0.5 ns long trajectories. The Si atom can be
generalized as occupying the notional center of the polyoxometalate
so that the plot provides an idea of the motion of the counterions
around the POM. In the two anions, it is interesting to remark that
once one of the free K+ cations reaches the lacuna, it
becomes trapped by the electrostatic attraction of the anion, displaying
a rather restricted mobility, at least at room temperature. The reader
can observe in Figure S7 that once the
attractive forces of the lacuna capture the cation, it hardly abandons
the area, and if another cation arrives to the region, the previous
one quickly moves away from the basin. This agrees well with what
we might expect given the observations of previous studies and may
help to explain why the size of the cation plays an important role
in stabilizing both the products and, presumably, based on the results
presented here, the key intermediate species involved in the transformation
of lacunary clusters such as these.
Figure 3
Left: K–Si distances for the 10
K+ ions for the
trivacant K10[β-SiW9O34] (top)
and K10[γ-SiW9O34] (bottom)
systems along 5 ps of Car–Parrinello MD trajectories. Right:
Polyhedral representation of a snapshot at t = 2.5
ps for both K10[β-SiW9O34]
and K10[γ-SiW9O34]. Color code:
W = teal, Si = orange, O = red. Gray polyhedra are used to differentiate
W centers belonging to rotated {W3} triads. Colored spheres
are used for the 10 K+ ions: yellow, dK–Si = ∼4 Å; purple, dK–Si = ∼5–7 Å; blue, dK–Si > 8 Å.
Left: K–Si distances for the 10
K+ ions for the
trivacant K10[β-SiW9O34] (top)
and K10[γ-SiW9O34] (bottom)
systems along 5 ps of Car–Parrinello MD trajectories. Right:
Polyhedral representation of a snapshot at t = 2.5
ps for both K10[β-SiW9O34]
and K10[γ-SiW9O34]. Color code:
W = teal, Si = orange, O = red. Gray polyhedra are used to differentiate
W centers belonging to rotated {W3} triads. Colored spheres
are used for the 10 K+ ions: yellow, dK–Si = ∼4 Å; purple, dK–Si = ∼5–7 Å; blue, dK–Si > 8 Å.In order to obtain a deeper understanding of the dynamic
processes
surrounding the lacunary species as might occur in solution, Car–Parrinello
MD simulations were also performed. Interestingly, though we are analyzing
a rather short time frame in comparison to the classical MD simulations,
we observe a similar distribution of K+ cations around
the POM. Due to the quite high q/M ratio for {SiW9} compared to that for other POMs,[53] we also explored if the POM could capture a
proton from solvent in order to compensate the high negative charge
on the anion. Despite the short time-scale simulation of the present
calculations (5 ps), we were able to successfully observe hydrolysis
of water in the case of the β-isomer. For the larger and less
charged {β2-SiW11} parent anion, hydrolysis
of the solvent was not observed even in somewhat larger simulations
(see Supporting Information). The Car–Parrinello
simulations also show that (i) the W atoms near the lacuna are more
flexible; and (ii) the lacuna O atoms are more effectively solvated
than the rest of the oxygens in the POM. The reader can find a deeper
analysis of these results in the Supporting Information (Figure S9 and S10). Similar results are found for the mono- {β2-SiW11} and dilacunary {β-SiW10} systems, which will be analyzed in detail elsewhere. In Figure S11, we have summarized the motion of
the K+ closer to the lacuna site for both K10[β-SiW9O34] and K10[γ-SiW9O34].With the knowledge obtained about the
anions in solution, we subsequently
attempted to directly analyze the isomerization of the {SiW9} intermediates. Given that the anions are synthesized in basic media,
our initial assumption was that the isomerization could be activated
by the coordination of an OH– ion to the polyoxometalate
framework. However, after an extensive exploration of the potential
energy surface at the DFT level (BP86/TZP) in implicit solvent (COSMO),
we were unable to characterize a transition state corresponding to
the β to γ transformation. Since our previous characterization
demonstrates that the K+ remains firmly in the vicinity
of the lacuna, we subsequently checked the potential influence of
the presence of the cation under the same simulation conditions; however,
we again failed to locate a transition state for the isomerization
process. We therefore decided to explore the transformation without
the presence of the hydroxyl group and with the incorporation of K+ in the lacuna. In this case, we were able to locate a stationary
point that could be characterized as a transition state linking the
β- and γ-isomers of the [SiW9O34]10– anion. As shown in Figure , the two isomers are found to have similar
energies (ΔE = 1.8 kcal mol–1) and are connected by a remarkably low-energy barrier of 3.5 kcal·mol–1. This result clearly indicates that these two open
species are indeed present in solution and that it should be possible
to effect a rapid transformation between them, strongly validating
our initial hypothesis from the time-resolved ESI-MS data that a {SiW9} intermediate may play a crucial role during the formation
of {γ-SiW10}. Car–Parrinello metadynamics
simulations were also conducted to further characterize the free-energy
barrier of the β to γ isomerization process in explicit solvent (water). The W–O distance that is
being broken in the β-isomer (between W1 and W2 in Figure S3) and the W–O distance that is
being formed in the γ-isomer (between W2 and W3 in Figure S3) were chosen as the variables to describe
the reaction path (collective variables, CVs). A rather long trajectory
(90 ps) and conservative parameters were used (for more details about
the settings of the metadynamics, see the computational details).
In this instance, the free-energy barrier for the isomerization is
estimated to be ∼14 kcal mol–1 (Figure ), a value that is
greater than the value predicted using the standard static methodology
(i.e., the difference between the TS and reactants, 3.6 kcal mol–1), including implicit solvent effects. The difference
might be attributed to a combined effect of two factors, the somewhat
different computational method and the influence that explicit solvent
might exert in the transformation.
Figure 4
Schematic energy profile (in kcal·mol–1)
for the {β-SiW9} to {γ-SiW9} transformation,
showing two perspectives of the transition state (TS) structure. Color
code: W = teal, Si = orange, O = red. Gray polyhedra are used to differentiate
W centers belonging to rotated {W3} triads.
Figure 5
Top: Structures for the {β-SiW9} starting
and
{γ-SiW9} end points of the metadynamics calculation,
with the structures showing the distances W–O1 and W–O2
corresponding to the collective variables. Middle: Free-energy surface
obtained from Car–Parrinello metadynamics for the [β-SiW9O34]10– to [γ-SiW9O34]10– transformation as a function
of the two selected CVs. Bottom: Detail of the trajectory of the two
CVs during the metadynamics; the red crosses represent the position
of the minima and transition structure at 0 K in the CV space. Energies
are in kcal·mol–1 and distances in Å.
Color code: W = teal, Si = orange, O = red, K= yellow. Gray polyhedra
are used to differentiate W centers belonging to rotated {W3} triads.
Schematic energy profile (in kcal·mol–1)
for the {β-SiW9} to {γ-SiW9} transformation,
showing two perspectives of the transition state (TS) structure. Color
code: W = teal, Si = orange, O = red. Gray polyhedra are used to differentiate
W centers belonging to rotated {W3} triads.Top: Structures for the {β-SiW9} starting
and
{γ-SiW9} end points of the metadynamics calculation,
with the structures showing the distances W–O1 and W–O2
corresponding to the collective variables. Middle: Free-energy surface
obtained from Car–Parrinello metadynamics for the [β-SiW9O34]10– to [γ-SiW9O34]10– transformation as a function
of the two selected CVs. Bottom: Detail of the trajectory of the two
CVs during the metadynamics; the red crosses represent the position
of the minima and transition structure at 0 K in the CV space. Energies
are in kcal·mol–1 and distances in Å.
Color code: W = teal, Si = orange, O = red, K= yellow. Gray polyhedra
are used to differentiate W centers belonging to rotated {W3} triads.Indeed, the O atoms involved in
the isomerization (O1 and O2; see Figure ) are efficiently
solvated by nearby water molecules, thus enhancing somewhat the barrier
for the transformation. In any case, the predicted barrier remains
remarkably small and therefore easily surmountable at ambient temperature.
Since the metadynamics was stopped when the system was back to reactants,
the reconstructed free-energy surface (Figure , middle) allows us to estimate the free-energy
difference between the β- and the {γ-SiW9}
isomer, which is 4 kcal mol–1 (γ lower than
β). This result indicates that the effect of the explicit solvent
in the relative free energies between isomers is not as important
as that for the isomerization barrier. The free-energy surface and
the trajectory followed by the two CVs during the metadynamics simulations
show that initially, while in the basin of the {β-SiW9} isomer, the W–O1 bond (the bond to be broken) oscilates
between 2 and 2.5 Å; meanwhile, the W···O2 distance
(the bond to be formed) oscillates between 3.0 and 6.5 Å. At
a given point, the W–O1 bond distance increases significantly
until arriving to a value near 3.5 Å, and then the new tungsten–oxygen
bond (W–O2) begins to form as the trajectory proceeds toward
the basin of the {γ-SiW9} isomer. This asynchronous
representation slightly differs with the more synchronous picture
suggested by the structure of the TS obtained from the static DFT
calculations (represented as a red cross in Figure ). The relative flatness of the energy surface
around the points near the TS structure makes the paths followed at
300 K more asynchronous than at 0 K. These detailed calculations thus
strongly support our initial, experimentally led hypothesis and suggest
that a three-step mechanism involving the loss and subsequent gain
of tungstate fragments, occurring either side of a remarkably low-energy
isomerization event, which occurs explicitly on a previously unforeseen
{SiW9} intermediate species, is responsible for the formation
of the {γ-SiW10} anion.
Conclusions
In
conclusion, we have demonstrated the use of time-resolved ESI-MS
measurements as a means to help unravel the assembly of the ubiquitous
polyoxometalate precursor species, [γ-SiW10O36]8–, at a level of detail unobtainable
by other analytical techniques. This study has thus allowed us to
shed light on the fundamental processes by which POM clusters speciate,
isomerize, and reassemble. Furthermore, the careful application of
ESI-MS has allowed us to clearly define a complex computational problem
based on the most likely hypothesis derived from our experiment: that
a hitherto unconsidered [SiW9O34]10– anion was acting as a “hidden” intermediate in the
synthesis of {γ-SiW10} from the parent [β2-SiW11O39]8– anion.
Computational studies are used to model the four key intermediate
species in a {SiW9}-derived mechanism and, crucially, identify
a remarkably low-energy transition state corresponding to the key
isomerism step. Furthermore, in the course of identifying this transition
state, we have also performed a comprehensive evaluation of the counterion
distribution in lacunary POM species for the first time.Though
this study has clear significance from a purely fundamental
standpoint, the somewhat unexpected conclusions we are able to draw
from our results can also be shown to be more widely applicable to
POM chemistry as a whole. While it has long been accepted that silicotungstate
species (and heteropolyoxometalate clusters more generally) are capable
of undergoing a remarkable (and often facile) array of speciation,
isomerization, and reassembly events in solution—processes
which have been the fundamental driving force behind a significant
body of the research published in this area over the past few decades—the
underlying mechanisms by which these processes occur are still somewhat
overlooked. In that regard, while the work we report here is presently
limited to a single well-known transformation, the counterintuitive
nature of the mechanism we propose herein (occurring via several steps
of disassembly and reassembly) does not appear to be inherently unique
to this reaction and, in fact, may also help to explain a plethora
of previously published results. Considering the attention that the
{γ-SiW10} anion receives is largely as a precursor
to new cluster species, due to its ability to readily reorganize into
a series of different lacuna, it is especially interesting to note
that among the most common products of such rearrangements are {β-SiW9}, {β-SiW10}, and {β-SiW11} fragments. All of these clusters may feasibly be accessed due to
the principle of microscopic reversibility and the remarkably low
barrier to the β/γ isomerization of the key {SiW9} intermediate identified above.This “rotational”
pathway to the isolation of new
isomeric fragments derived from the {γ-SiW10} precursor,
which explicitly occurs through a nonatungstate intermediate cluster,
can be contrasted against some recently reported results which hint
at contrasting, possibly transition-metal-driven, “speciation
and reassembly” pathways.[19,31] These, in
turn, may be progressing primarily through lower nuclearity octatungstate
or hexatungstate intermediates. This only further serves to highlight
the quite remarkable structural chemistry associated with just one
small subsection of the wider class of POM materials as a whole. We
therefore hope that these results can form the basis of a new predictive
approach to the selection of reactive intermediates capable of forming
nanoscale clusters which can be both predicted from this work and
whose assembly can be followed by mass spectrometry.
Experimental Section
Materials
K8[β2-SiW11O39]·12H2O was
synthesized according
to the previously reported literature procedure.[54] K8[γ-SiW10O36]·12H2O was synthesized according to the previously reported literature
procedure,[46] though on a one-quarter scale
(see Supporting Information for full details).
ESI-MS Analysis
All ESI-MS measurements were conducted
on a Waters Synapt G2 HDMS spectrometer operating in sensitivity mode,
equipped with a quadrupole time-of-flight (Q/ToF) module for MS analysis.
All samples were prepared as described in the following and injected
directly at a flow rate of 5 μL using a Harvard syringe pump.
All spectra were collected in negative mode and analyzed using the
MassLynx v4.1 software suite provided by Waters. Detailed instrument
parameters are provided in the accompanying Supporting Information. Time-resolved electrospray measurements were conducted
on 20 μL aliquots of the stirred reaction solution, taken at
predetermined time intervals, and immediately diluted in an additional
1 mL of H2O before subsequent filtration using 200 μm
syringe filters to ensure removal of any precipitated material, if
necessary, prior to injection into the spectrometer. Each sample was
measured within no more than 15 min of their initial collection; however,
control experiments performed on aged solutions showed minor changes
in the peak composition, indicating that minimal sample evolution
should occur over a realistic time frame corresponding to the measurement.
Note that while neat reaction solutions are generally incompatible
with ESI-MS analysis, the trends which hold true under diluted conditions
appear to conform to what we might expect of the concentrated reaction
(starting material consumption, product formation, and identification
of possible intermediates) and so are treated as representative herein.
This is also in excellent agreement with measurements performed by
us in a related previous work.[19]
Computational
Analysis
The static calculations were
carried out using DFT methodology with the ADF program.[55] The gradient-corrected functionals of Becke
and Perdew for the exchange and correlation energies, respectively,
were used to improve the description of the electronic density provided
by the local density approximation (X-alpha functional for the exchange
part and Vosko–Wilk–Nusair functional for the correlation
part).[56] A set of Slater-type basis functions
of triple-ζ + polarization quality was employed to describe
the valence electrons of all the atoms. Scalar relativistic corrections
were included by means of the zeroth-order regular approximation formalism.
All computed stationary points have a closed-shell electronic structure.
All the structures discussed through this work were fully optimized
in the presence of a continuous model solvent by means of the conductor-like
screening model (COSMO) implemented in the ADF code.[57] The dielectric constant (ε) was set to 78 to model
water as a solvent.The classical MD simulations were performed
by means of the DL_POLY program package. DL_POLY is a package of subroutines,
programs, and data files designed to facilitate MD simulations of
macromolecules, polymers, ionic systems, solutions, and other molecular
systems.[58] The Car–Parrinello MD
simulations were performed at the DFT level by means of the CPMD program
package.[59] The description of the electronic
structure is based on the expansion of the valence electronic wave
functions into a plane wave basis set, which is limited by an energy
cutoff of 70 Ry. The interaction between the valence electrons and
the ionic cores is treated through the pseudopotential (PP) approximation.
Norm-conserving Martins–Troullier PPs are employed, and nonlinear
core corrections are included in the W PP.[60] We adopted the generalized gradient-corrected Becke–Lee–Yang–Parr
(BLYP) exchange-correlation functional.[61] The validity of these computational settings for the study of isopolyanions
has been checked previously.[52] In the Car–Parrinello
MD simulations, the wave functions are propagated by integrating the
equations of motion derived from the extended Car–Parrinello
Lagrangian.[62] We use a time step of 0.144
fs and a fictitious electronic mass of 700 au. The Nosé–Hoover
thermostat for the nuclear degrees of freedom was used to maintain
the temperature constant around 300 K.[64] The cell boxes for all dynamics contain the POM, the 10 K+ cations, and 247 H2O molecules for classical and Car–Parrinello
simulations. The size of the boxes are a = b = c = 20 Å and are repeated periodically
in space by the standard periodic boundary conditions. The limited
simulation time afforded by standard Car–Parrinello MD runs
does not allow the observation of rare events like thermally activated
chemical reactions. For this reason, we use the metadynamics technique,
which is capable of efficiently reconstructing complex reaction mechanisms
and provides the free-energy profile, as demonstrated in previous
applications.[21,52,63] Two collective variables were considered, the W–O1 and W–O2
distances shown in Figure . For metadynamics, the cell boxes (a = b = c = 15 Å) contain the POM, one
K+ cation, 91 H2O molecules, and one OH– anion to simulate the basic medium of the system.
The parameters used in the extended Lagrangian scheme for these metadynamics
were as follows: k1 = k2 = 1 au, M1 = M2 = 10 amu. The height of the hills was 0.63 kcal mol–1; their perpendicular width was 0.1 au, and the deposition
rate was 0.0144 ps. The metadynamics simulations were stopped once
the system was back to reactants so that we could estimate the relative
free energies between the two isomers (total time = 90 fs).
Authors: Christoph Busche; Laia Vilà-Nadal; Jun Yan; Haralampos N Miras; De-Liang Long; Vihar P Georgiev; Asen Asenov; Rasmus H Pedersen; Nikolaj Gadegaard; Muhammad M Mirza; Douglas J Paul; Josep M Poblet; Leroy Cronin Journal: Nature Date: 2014-11-19 Impact factor: 49.962
Authors: Lindsay A Wills; Xiaohui Qu; I-Ya Chang; Thomas J L Mustard; Douglas A Keszler; Kristin A Persson; Paul Ha-Yeon Cheong Journal: Nat Commun Date: 2017-06-15 Impact factor: 14.919