Aqueous proton transport plays a key role in acid-base neutralization and energy transport through biological membranes and hydrogen fuel cells. Extensive experimental and theoretical studies have resulted in a highly detailed elucidation of one of the underlying microscopic mechanisms for aqueous excess proton transport, known as the von Grotthuss mechanism, involving different hydrated proton configurations with associated high fluxional structural dynamics. Hydroxide transport, with approximately 2-fold-lower bulk diffusion rates compared to those of excess protons, has received much less attention. We present femtosecond UV/IR pump-probe experiments and ab initio molecular dynamics simulations of different proton transport pathways of bifunctional photoacid 7-hydroxyquinoline (7HQ) in water/methanol mixtures. For 7HQ solvent-dependent photoacidity, free-energy-reactivity correlation behavior and quantum mechanics/molecular mechanics (QM/MM) trajectories point to a dominant OH-/CH3O- transport pathway for all water/methanol mixing ratios investigated. Our joint ultrafast infrared spectroscopic and ab initio molecular dynamics study provides conclusive evidence for the hydrolysis/methanolysis acid-base neutralization pathway, as formulated by Manfred Eigen half a century ago. Our findings on the distinctly different acid-base reactivities for aromatic hydroxyl and aromatic nitrogen functionalities suggest the usefulness of further exploration of these free-energy-reactivity correlations as a function of solvent polarity. Ultimately the determination of solvent-dependent acidities will contribute to a better understanding of proton-transport mechanisms at weakly polar surfaces and near polar or ionic regions in transmembrane proton pump proteins or hydrogen fuel cell materials.
Aqueous proton transport plays a key role in acid-base neutralization and energy transport through biological membranes and hydrogen fuel cells. Extensive experimental and theoretical studies have resulted in a highly detailed elucidation of one of the underlying microscopic mechanisms for aqueous excess proton transport, known as the von Grotthuss mechanism, involving different hydrated proton configurations with associated high fluxional structural dynamics. Hydroxide transport, with approximately 2-fold-lower bulk diffusion rates compared to those of excess protons, has received much less attention. We present femtosecond UV/IR pump-probe experiments and ab initio molecular dynamics simulations of different proton transport pathways of bifunctional photoacid7-hydroxyquinoline (7HQ) in water/methanol mixtures. For 7HQ solvent-dependent photoacidity, free-energy-reactivity correlation behavior and quantum mechanics/molecular mechanics (QM/MM) trajectories point to a dominant OH-/CH3O- transport pathway for all water/methanol mixing ratios investigated. Our joint ultrafast infrared spectroscopic and ab initio molecular dynamics study provides conclusive evidence for the hydrolysis/methanolysisacid-base neutralization pathway, as formulated by Manfred Eigen half a century ago. Our findings on the distinctly different acid-base reactivities for aromatic hydroxyl and aromatic nitrogen functionalities suggest the usefulness of further exploration of these free-energy-reactivity correlations as a function of solvent polarity. Ultimately the determination of solvent-dependent acidities will contribute to a better understanding of proton-transport mechanisms at weakly polar surfaces and near polar or ionic regions in transmembrane proton pump proteins or hydrogen fuel cell materials.
Aqueous
acid–base neutralization involves a proton exchange
with the strong involvement of water solvent molecules. The current
understanding of proton exchange between Brønsted acids and Brønsted
bases originated from seminal studies by Eigen[1] and Weller[2] more than half a century
ago. The general kinetic scheme has been described in Eigen’s
review of the field.[3] According to the
scheme, the proton transfer converting the acid–base reactant
pair to its conjugate acid–conjugate base product pair is considered
to follow either a concerted or sequential pathway (Figure a). In the sequential (proton-hopping)
case, two possible directions for proton transport can in principle
occur: either a forward excess proton transfer from acid via intermediate
hydrated protons to the accepting base (protolysis pathway) or an
inverse proton-defect transport (hydrolysis pathway) where the base
extracts a proton from the solvent, generating hydrated hydroxide
anions that ultimately react with the acid.[4,5] A
third pathway involves a direct proton exchange between acid and base,
with an underlying concerted proton transfer mechanism. Which proton
transfer pathway prevails depends on the relative reaction rates of
the individual proton transfer steps. The relevance of proton transport
in cases as diverse as hydrogen fuel cells and biochemical environments,
including transmembrane protein channels,[6−9] necessitates a further exploration
of the underlying proton transport mechanisms for conditions clearly
distinct from those of bulk water (i.e., for lower-polarity solvent
media and possible crucial roles of hydrophobic alkyl- and hydrophilic
alcohol functionalities).
Figure 1
(a) Eigen’s reaction scheme. (b) Eigen’s
scheme adapted
to 7HQ. (c) Forward excess proton transfer vs inverse proton defect
transfer with the sequence of proton transfer events along the solvent
bridge for 7HQ.
(a) Eigen’s reaction scheme. (b) Eigen’s
scheme adapted
to 7HQ. (c) Forward excess proton transfer vs inverse proton defect
transfer with the sequence of proton transfer events along the solvent
bridge for 7HQ.Experimental and theoretical results
point to a water-mediated
proton transfer mechanism on ultrafast time scales between aromatic
alcohols and carboxylatebases.[10−15] A limited number of intermediate water molecules connecting these
acid and base molecules facilitate the protolysis pathway through
a hydrogen-bonded “water bridge” or “water wire”.
These findings can be compared to theoretical studies on proton transport
in bulk water, where the transport mechanism of the excess proton
has been intensively explored.[16−18] It has been found that different
conformations of hydrated protons play a key role in the sequential
von Grotthuss-type proton hopping mechanism, with Eigen-type (hydronium,
H3O+) or Zundel-type (H5O2+) hydrated protons often found to occur at distinct phases
of the elementary proton hopping events.[19−22] Hydroxide (OH–) transport has been considered only in a small number of ab initio
molecular dynamics studies,[23−25] where for OH– transport in bulk water two different hydrated forms of OH– have been found. These studies found OH– transfer
to occur by either 4- or 5-fold hydrated configurations, with OH– donating one and accepting three or four hydrogen
bonds to first solvation shell water molecules, respectively.In this report, we present the results of a joint experimental
and theoretical study of proton transfer between the proton-donating
OH group of an acid and the proton-accepting aromatic N-moiety of
a base. To avoid a possible variation of the distance between the
acid and base, thus maintaining a well-defined number of solvent molecules
forming the solvent bridge, we use a so-called bifunctional photoacid,[26] 7-hydroxyquinoline (7HQ)[27−32] (Figure b). This
bifunctional compound has both the photoacid properties of 2-naphthol
and the photobase properties of quinoline. Excitation to the first
electronically excited state results in a pKa jump from 8.67 to around 0.4 for the OH group and from 5.64
to around 11.1 for the N side (Table ). As a result, both the acidity of the OH group and
the basicity of the N-group strongly increase, initiating a net proton
transfer from the neutral (N*) to the zwitterionic (Z*) form with
a time constant of ∼37 ps in water[28] and 170 ps in methanol.[29] In a previous
study, we characterized 7HQ dissolved in deuterated methanol (CD3OD)[33] and found the IR-active fingerprint
patterns of N*, Z*, and intermediate A* or C* that are expected to
occur when the reaction proceeds through a forward or an inverse proton
transfer pathway, respectively (Figure c). We have assigned the IR-active fingerprint modes
measured for tautomers N* and Z* and charged species A* and C* with
quantum chemical calculations using time-dependent density functional
theory.
Table 1
Comparison of Previously Reported
Time Constants Obtained from Ultrafast Spectroscopic Measurements
on 7HQ and Derived Values for ΔpKa = pKa(Donor) – pKa(Protonated Acceptor)
CD3OD
CH3OH
H2O
equilibrium
functionality
time constant τ (ps)a
–log10[kr]
ΔpKa
time constant τ (ps)b
–log10[kr]
ΔpKa
time constant τ (ps)c
–log10[kr]
ΔpKa
C* + ROH ⇆ Z* + ROH2+
2-naphthol
160
9.80
1.0
114d
18
10.74
–1.0
N* + ROH ⇆ C* + RO–
1-quinolinium
320
9.49
1.4
170
9.77
1.0
37
10.43
–0.25
N* + ROH ⇆ A* + ROH2+
2-naphthol
A* + ROH ⇆ Z* + RO–
1-quinolinium
600
9.22
1.75
428d
180
9.74
1.0
Reference (33) from femtosecond UV/IR
measurements.
Reference (29) from time-correlated single
photon counting (TCSPC) measurements.
Reference (28) from TCSPC measurements.
Assuming a regular H/D kinetic isotope
effect.
Reference (33) from femtosecond UV/IR
measurements.Reference (29) from time-correlated single
photon counting (TCSPC) measurements.Reference (28) from TCSPC measurements.Assuming a regular H/D kinetic isotope
effect.Clearly the results
obtained on the different tautomers and charged
species of 7HQ are not sufficient to draw decisive conclusions on
the following questions: (1) Are there distinct changes when going
from methanol to water solution in terms of reaction rates, and if
affirmative, can particular trends be specified? (2) Would a change
from methanol to water facilitate the observation of possible intermediates?
(3) If the results of ultrafast UV/IR pump–probe experiments
are necessarily ensemble-averaged, then would state-of-the-art ab
initio molecular dynamics simulations be sufficient to provide key
insight into the underlying microscopic mechanisms of the proton exchange?
(4) Ultimately, is it possible to determine which reaction pathway
of Figure b dominates
the proton exchange dynamics. To answer these questions, we follow
in this work the conversion of N* → Z* in real time for different
water/methanol mixtures, further exploring the N* → Z* conversion
kinetics with ultrafast UV/IR pump–probe spectroscopy. We characterize
the reaction rates as a function of the XH:XCH molar
fraction ratio and look for the possible presence of transient species.
To substantiate the observed reaction rates, we derive the differences
in acidity of reactants and products and possible intermediates through
the respective pKa/pKa* values using well-established free-energy reactivity
correlations.[12,34−37] We conclude that for ensemble-averaged
population kinetics upon photoexcitation of 7HQ, the proton transfer
follows general rules for acidities when going from methanol to water.
To further substantiate our findings that the proton transfer pathway
through a sequential hydroxide/methoxide transport occurs for all XH:XCH molar fraction ratios, we use quantum mechanics/molecular
mechanics (QM/MM) molecular dynamics simulations applied to the S1 state of 7HQ using time-dependent density functional theory
(TD-DFT) calculations. We infer that the primary event of proton transfer
for 7HQ involves a proton abstraction from the nearest solvent molecule
to the quinoline N-side. Our combined experimental and theoretical
results demonstrate that the hydrolysis/methanolysis pathway of acid–base
neutralization through a water/methanol bridge consisting of three
solvent molecules is the dominant pathway. Our results on the 7HQ
model system have direct relevance not only for proton transport in
water-rich solutions but also for less polar water-poor media, which
are ubiquitous in the important cases of proton transport channels
in transmembrane proteins or ion exchange regions within hydrogen
fuel cells.
Results and Discussion
Femtosecond
UV/IR Pump–Probe Results
In Figure , we
show the absorption and fluorescence spectra of 7HQ in water/methanol
mixtures. The gradual shift in equilibrium constants with increased
water fraction leads to a pronounced change in the relative populations
of N and Z, and N* and Z*, in the S0 and S1 states,
respectively. Femtosecond pump pulses tuned to 340 nm lead to the
electronic excitation of 7HQ from the S0 state of N to
the S1 state of the N* tautomer.
Figure 2
(a) Absorption and (b)
emission spectra recorded for 7HQ in water/methanol
mixtures with molar fractions XH:XCH as indicated.
The emission spectra, measured with a 330 nm excitation wavelength,
reflect both the solvent-mixture-dependent chemical speciation of
N and Z and a solvent-dependent fluorescence quantum yield.
(a) Absorption and (b)
emission spectra recorded for 7HQ in water/methanol
mixtures with molar fractions XH:XCH as indicated.
The emission spectra, measured with a 330 nm excitation wavelength,
reflect both the solvent-mixture-dependent chemical speciation of
N and Z and a solvent-dependent fluorescence quantum yield.We have measured the transient response of the
vibrational marker
modes of 7HQ in the IR-active fingerprint spectral region between
1400 and 1550 cm–1. In a previous publication,[33] we have reported on the distinct vibrational
patterns for different charged species N*, C*, A*, and Z* dissolved
in neat CD3OD. We have used deuterated methanol as a solvent
to facilitate direct access to the most important vibrational marker
modes in this spectral region, which for normal methanol, CH3OH, would be inaccessible under our experimental conditions. We have
concluded that the deuteron transfer process occurs from N* to Z*
with a 330 ps time constant. Figure a shows our transient IR-absorption spectra, with basic
features similar for all water/methanol mixtures studied (i.e., for
the XD:XCD molar ratio ranging from 0.0:1.0 to 0.7:0.3).
Indeed, we identify the N* marker mode located at 1475 cm–1 and the Z* marker mode at 1440 cm–1 to let us
observe a profound increase in overall conversion rates from N* to
Z* with increasing water content (Figure b). For all water/methanol solvent mixtures,
the time scale of the decay of the N* population is equal to the rise
of the Z* population. We have not observed significant spectral features
indicative of transient population buildup of either the C* or A*
species upon increased molar fraction of water. From these results,
we conclude that the underlying proton transport mechanisms for 7HQ
in water/methanol mixtures must be similar to those in neat methanol,
up to the highest water molar fraction investigated here. An in-depth
kinetic analysis of the transient IR spectra can be found in the Supporting Information. We summarize our findings
of this kinetic analysis in Table and compare the obtained time constant values with
those previously reported. Apart from a fast, broad, spectrally featureless
component (that occurs on a time scale of up to a few picoseconds)
that may be caused by multiphoton/cross-phase modulation effects in
the solvent and hydrogen bond rearrangements around the solute,[13,38−40] we note here that the population decay of N* follows
the same temporal behavior on a time scale of hundreds of picoseconds
as the population rise of Z* (i.e., no significant transient population
of C* has been detected). This may suggest that either direct “concerted”
proton transfer pathway III describes the proton exchange or that
the first step in proton abstraction to or from the solvent is the
rate-determining step. From our previous study, we determined a time
constant of 320 ps for the N* → Z* conversion in deuteratedmethanol while the C* → Z* reaction occurs with a time constant
of 160 ps.[33] This would imply a transient
population build-up for C* of only 25% of the initially excited population
for N*. However, it can be argued that the C* → Z* conversion
will be much faster because the last step will be a neutralization
reaction, C* + CD3O– → Z* + CD3OD, rather than a deuteron donation to the solvent, C* + CD3OD → Z* + CD3OD2+.
The results presented here suggest that this explanation holds for
water/methanol mixtures.
Figure 3
(a) Transient UV/IR spectra
measured on 7HQ dissolved in D2O/CD3OD mixtures.
(b) Population kinetics of the
N* and Z* species, as measured through the 1475 and 1440 cm–1 marker bands, respectively.
Table 2
Free-Energy Reactivity
Results Obtained
on 7HQ in Deuterated Water/Methanol Mixtures
pathway I
pathway
II
XD2O:XCD3OD
N* decay
time constant (ps)
–log10 [kr]
ΔpKa
calculated pKa (N* species)
pKa (solvent species D3O+ or CD3OD2+)
pKa (solvent species D2O or CD3OD)
calculated pKa (C* species)
0.0:1.0
361
9.44
1.40
1.4
0.0
17.5
16.1
0.3:0.7
180
9.74
1.00
1.0
0.0
15.4
14.4
0.5:0.5
158
9.80
0.86
0.9
0.0
15.0
14.1
0.7:0.3
110
9.96
0.65
0.7
0.0
15.0
14.3
1.0:0.0
51a,b
10.28
0.0
0.0
0.0
15.0
15.0
Reference (28) from TCSPC measurements.
Assuming the regular H/D kinetic
isotope effect.
Reference (28) from TCSPC measurements.Assuming the regular H/D kinetic
isotope effect.(a) Transient UV/IR spectra
measured on 7HQ dissolved in D2O/CD3OD mixtures.
(b) Population kinetics of the
N* and Z* species, as measured through the 1475 and 1440 cm–1 marker bands, respectively.
Free-Energy Reactivity Analysis
To
understand our observations we first discuss the reactivity of acids
and bases as a function of the solvent medium. Typically, acidities
in the condensed phase are quantified with pKa values (i.e., −log10Ka, with Ka = [B][H+]/[HB+], where “H+” is a common
indicator of the solvated proton species present in the particular
solvent used and B is the conjugate base of acid HB), for the water
solvent. Empirical data in other solvents (such as methanol, dimethyl
sulfoxide, and acetonitrile as well as for particular solvent mixtures)
now have been gathered, and solvent-dependent acidity relationships
have been reported. In particular, a comparison of pKa values of particular types of acids in water to those
in methanol has shown that a strong variation occurs for phenol-type
acids, but a significantly smaller solvent dependence happens for
protonated nitrogenbases[41−43]where for phenols m = 1.08
and c = 3.66 and for protonated nitrogenbases m = 1.02 and c = 0.72. Hence, for phenol-type
compounds the pKa value is observed to
increase by ∼3.5 to 4 units when going from H2O
to CH3OH as a solvent, whereas for protonated nitrogenbases (amines, anilines, and N-heterocycles such as pyridines) the
pKa value increases only by about 0.5
to 1 unit.Photoacid research has matured to a general understanding
that the photoacidity effect results from an increase in acidity upon
electronic excitation (i.e., pKa* = pKa(S1) decreases by ∼6 to 7
units compared to the electronic ground state pKa(S0) value for aromatic alcohols (phenols, naphthols,
and hydroxypyrenes)). A large number of time-resolved fluorescence
measurements, femtosecond UV/vis, and UV/IR pump–probe experiments
have led to the conclusion that a free-energy–reactivity correlation
of photoacids connects the thermodynamic quantities of acidity in
the electronic excited state (i.e., pKa* values) to proton transfer reaction rates. This free-energy–reactivity
correlation holds for photoacid dissociation to the solvent water,
proton abstraction from the solvent water by a photobase, and photoacid–base
neutralization in aqueous solution and has even been shown to hold
for the proton transfer of photoacids in methanol solution.[12,34−37,44,45]The free-energy–reactivity correlation can be rationalized
in terms of Marcus theory adapted to the case of proton transfer,[46] where solvent reorganization plays a dominant
role, or by use of the bond-energy bond-order (BEBO) model[47] for proton transfer along a pre-existing hydrogen
bond, which is valid for the opposite extreme condition reminiscent
of nonadiabatic electron-transfer reactions. In the free-energy (ΔGa) and accordingly ΔpKa parameter value range relevant here (i.e., in the endothermic
branch of the proton transfer reactions), these two descriptions lead
to similar results. We summarize here only the main equations following
the BEBO model. In the free-energy relationshipwhere kr is the
first-order rate constant and (k*)−1 is the frequency factor of this type of reaction, R is the gas constant, and T is the absolute temperature.
We have set the parameter value for (k*)−1 = 1012 s–1 as found to be the most
appropriate for numerous photoacid dissociation and photoacid–base
neutralization reactions in protic solvents.[12,34−37,44,45] This is relatively slow compared to the inertial and librational
motions in protic solvents water and methanol, which have about an
order of magnitude shorter intrinsic time scales. The effective activation
energy of the proton transfer reaction, ΔGa, has been estimated using the Marcus BEBO equation:[48]Here ΔGo# is the solvent-dependent
activation energy
of the charge-exchange reaction when the total free-energy change
is ΔG° in the proton transfer reaction
is equal to zero.In principle, 7HQ can exhibit acid–base
reactivity as an
aromatic alcohol (through its 2-naphthol functionality) and as a protonated
nitrogenbase (through its quinolinium functionality). Free-energy–reactivity
correlations can be used to derive an unknown pKa value of one of the acids/conjugate acids of bases in the
acid–base neutralization reactions, as has been demonstrated
for carbonic acid.[35] Here we have applied
these now well-established free-energy–reactivity correlation
relationships to conclude that proton transfer hydrolysis/methanolysis
pathway II dominates for 7HQ in water/methanol solvent mixtures. For
this, we use the reported free-energy–reactivity relationship,[35] and use experimentally determined rate constants
as input to derive values for ΔpKa = pKa(donor) – pKa(protonated acceptor) (Tables and 2, and Figure ).
Figure 4
Free-energy–reactivity
correlation of the different charged
forms of photoexcited 7HQ in (a) H2O, CH3OH,
or CD3OD and (b) D2O/CD3OD mixtures.
The Marcus bond energy bond order (BEBO) relationship is shown as
a solid line.
Free-energy–reactivity
correlation of the different charged
forms of photoexcited 7HQ in (a) H2O, CH3OH,
or CD3OD and (b) D2O/CD3OD mixtures.
The Marcus bond energy bond order (BEBO) relationship is shown as
a solid line.Table summarizes
our findings using literature values for 7HQ in either aqueous or
methanol solution.[28,29,33]Table shows the
resulting values for ΔpKa = pKa(donor) – pKa(protonated acceptor) from the time constants derived from the kinetic
analysis of the ultrafast UV/IR pump–probe measurements on
7HQ in the deuteratedwater/methanol mixtures (Supporting Information), using the Marcus BEBO free-energy–reactivity
relationship. For 7HQ in neat D2O, we have derived a value
for the ΔpKa value from the reported
value obtained by Bardez in neat H2O,[28] assuming a regular H/D kinetic isotope effect (i.e., τD = 1.4τH). Figure depicts our findings
on 7HQ dissolved in neat CD3OD as well as the XD:XCD solvent mixtures using our femtosecond UV/IR pump–probe measurements
for the overall N* ⇆ ΔZ* proton transfer
reaction as well as for the C* ⇆ ΔZ*
and A* ⇆ ΔZ* steps in neat CD3OD.[33] For comparison, we also have added
previously reported results by other research groups obtained with
time-correlated single-photon counting (TCSPC) measurements.[28,29] It follows that the measurements performed in H2O, in
CH3OH, and in CD3OD all follow the same free-energy–reactivity
correlation, provided that the N* ⇆ ΔZ* reaction underlies a change in value of ΔpKa = pKa(donor) – pKa(protonated acceptor) by increasing by about
1.2–1.3 units when going from H2O to CH3OH (or, equivalently, from D2O to CD3OD) as
the solvent. This result strongly points to the quinoline unit dominating
the overall proton transfer dynamics for the N* → Z* conversion
because for the naphthol unit a shift of 3–5 units is expected.[41−43] Hence we conclude that our experimental results are indicative of
a proton transport mechanism via N* → C* → Z* pathway
II (i.e., an inverse proton transfer mechanism by hydroxide/methoxide
transfer). An additional increase in magnitude of 0.3–0.5 unit
for ΔpKa = pKa(donor) – pKa(protonated
acceptor) occurs when one exchanges CH3OH for CD3OD.[34] Because we do not observe any irregularities
in the free-energy–reactivity correlation for 7HQ in the water/methanol
mixtures, we derive that at the level of our ensemble-averaged observations
of the proton/deuteron transfer reaction dynamics, no preference can
be concluded for proton transfer via either water or methanol.Figure shows the
derived effective ΔpKa values for
the D2O/CD3OD solvent mixtures as a function
of molar fraction of CD3OD. From ΔpKa = pKa(donor) – pKa(protonated acceptor), we are able to assess
the reactivity of N* as a deuteron acceptor (when ΔpKa = pKa(D2O or CD3OD) – pKa(C*))
or of N* as a deuteron donor (when ΔpKa = pKa(N*) – pKa(D3O+ or CD3OD2+)). Results are shown in Table . We use reported values for the autoprotolysis
constants of H2O, D2O, and CH3OH
as well as for water/methanol mixtures[43,49−51] to specify the acidities of D3O+ or CD3OD2+ and of D2O/CD3OD in the deuteratedwater/methanol mixtures. Here pKa(D3O+) = pKa(CD3OD2+) = 0 (i.e., we use
the acidity value of D3O+/CD3OD2+ without taking into account the self-concentration
of water or methanol[36,52]). From these reported values,
we also learn that the acidity of the solvent molecules in the deuterated
solvent mixtures remains close to that of neat D2O, down
to molar fractions of D2O of as low as 0.2, and significantly
changes–albeit modestly in absolute magnitude–only when
reaching the neat CD3OD case. For either proton transfer
scenario, as shown in Figure , the resulting derived changes for the pKa* value for either N* (as the deuteron donor in the N*
→ A* step in pathway I) or C* (as the deuteron acceptor in
the N* → C* step in pathway II) as a function of solvent composition
remain modest in magnitude. The overall change of only 1.4 pKa units when going from D2O to CD3OD as a solvent is compatible only with the protonated nitrogenbase character of C* and not with the naphthol acid character of N*.
We conclude that the almost linear dependence of ΔpKa as a function of the molar fraction of CD3OD, with a slope consistent for proton abstraction by the quinoline
moiety, reflects a rate-determining N* → C* reaction step in
the N* → C* → Z* dominating pathway for the whole range
of D2O/CD3OD solvent mixtures.
Figure 5
Effective ΔpKa values derived
from the reaction kinetics of 7HQ in D2O/CD3OD solvent mixtures, using the free-energy–reactivity relationship
as defined by the Marcus BEBO model (shown in Figure b).
Effective ΔpKa values derived
from the reaction kinetics of 7HQ in D2O/CD3OD solvent mixtures, using the free-energy–reactivity relationship
as defined by the Marcus BEBO model (shown in Figure b).
Microsolvation around 7HQ
To investigate
further the underlying microscopic mechanisms of proton transport
between donating and accepting groups of 7HQ in water/methanol mixtures,
we have performed equilibrium molecular dynamics (MD) simulations
to investigate the microscopic solvation of 7HQ, adiabatic MD calculations
using a TD-DFT molecular mechanics (MM) approach to identify the propensity
of particular ultrafast protonation events of 7HQ in the S1-state, and ab initio molecular dynamics (AIMD) simulations to obtain
key insight into the proton transport along a solvent bridge, following
the initial proton transfer between 7HQ and the solvent. In this Section
we first investigate the distribution of water and methanol around
7HQ.The local distribution of H2O and CH3OH molecules in direct proximity of the 7HQ chromophore differs significantly
from the homogeneous distribution. As a consequence, the C* or A*
formation, the migration of intermediate solvent ions, and the formation
of the N* state might occur at local densities and mixing ratios that
are different from the bulk. To analyze the extent of this effect,
we computed radial pair distribution functions (RDFs) that inform
about radial density variations relative to the bulk from AIMD simulations
of N in the electronic ground state. The RDFs in Figure a indicate a slightly locally
increased methanol density for both mixing ratios that extends up
to 8–10 Å from the 7HQ center of mass. This effect is
more pronounced for the XH:XCH = 0.7:0.3 solution,
indicating that larger solvation-induced changes occur in this case
to accommodate 7HQ in the more polar solvent environment. By contrast,
partial density variations of water molecules are much less pronounced.
The most significant feature in the RDFs of water is seen in the case
of the XH:XCH = 0.5:0.5 solutions. Here, the RDF between
wateroxygen atoms and the 7HQ center indicates a slightly increased
density, which can be explained by hydrogen bonding of water molecules
to the 7HQ hydroxyl moiety. To conclude the RDF analysis, the solvation
of 7HQ alters the spatial distribution of solvent molecules, especially
of methanol molecules; however, the effect is rather moderate. This
can be seen by comparing the “local” mixing ratios as
calculated from the cumulative number of oxygen atoms up to a radius
of 7 Å from 7HQ. The resulting values of 46:54 and 64:36 show
little deviation from the overall bulk ratio of XH:XCH= 0.50:0.50 and 0.70:0.30 simulations, respectively.
Figure 6
(a) Radial pair distribution
functions g7HQ-O(r) (RDFs) of water
(Ow) and methanol (OM)
oxygen atoms and the center of mass of 7HQ. (b) Histograms of the
solvent wire composition for BLYP ab initio MD simulations (AIMD),
classical MD simulations (CMD), and the analytical distribution arising
from counting the various combinations of finding three methanol and
zero water molecules (3M/0W) etc. in the solvent
wire for the given molar ratios (analytical).
(a) Radial pair distribution
functions g7HQ-O(r) (RDFs) of water
(Ow) and methanol (OM)
oxygen atoms and the center of mass of 7HQ. (b) Histograms of the
solvent wire composition for BLYP ab initio MD simulations (AIMD),
classical MD simulations (CMD), and the analytical distribution arising
from counting the various combinations of finding three methanol and
zero water molecules (3M/0W) etc. in the solvent
wire for the given molar ratios (analytical).Although this site-unspecific microsolvation is not expected to
significantly affect the migration of solvent ions in proximity to
the chromophore, 7HQ is able to accept and donate hydrogen bonds at
its photoacidic and photobasic moieties, which might alter the solvation
structure more site specifically. Most importantly, the well-defined
separation of these groups allows for the formation of stable hydrogen-bonded
chains of solvent molecules. It has been previously shown by us that
“solvent wires” which are comprised of three water molecules
are particularly stable over several tens of picoseconds.[53] Hence, these configurations might serve as a
potential channel for a subpicosecond tautomerization reaction. In
this case, the system would be in a resting state until a solvent
wire forms at which point the tautomerization reaction would take
place on a subpicosecond time scale, involving the concurrent transfer
of all protons within the wire.[22] For this
reason, information regarding to what extent these wires are already
present in the ground state might provide important clues about whether
this ultrafast mechanism might play a role at all in the case of more
complex solutions than neat water, such as the current water/methanol
mixtures. To this end, we analyzed ab initio and classical MD trajectories
of N and investigated the presence of three-membered solvent wires.
As shown in Table , wires are formed in 7% of the simulation time in the case of the
classical MD simulations, and 9–17% in the case of the AIMD
simulations. The discrepancy between the two simulation approaches
is likely due to imperfect sampling in the case of the AIMD simulations
as converged statistics require simulations in the nanosecond regime.
Besides the existence of solvent wires, it is compelling to ask whether
these configurations are preferably composed of a specific solvent
type (i.e., either water or methanol) or whether the distribution
of methanol versus water molecules reflects the overall bulk mixing
ratio. To answer this, we computed the distribution of water and methanol
molecules within the wire, shown in Figure b, and compared it to the distribution one
would expect by merely counting the various possibilities to form
wires of a specific type. As becomes apparent, there is a clear preference
for water molecules over methanol molecules to be in the solvent wire
than one would expect from plain statistics. Most of the wires consist
either of two or three water molecules, whereas wires containing two
or three methanol play only a minor role.
Table 3
Average
Percentages of the Formation
of Solvent Wires for BLYP Ab Initio (AIMD) and Classical MD (CMD)
Simulations for Two XH:XCH Molar Ratios
0:5:0:5
0.7:0.3
AIMD
17%
9%
CMD
7%
7%
Apart from the solvation structure in vicinity to
the chromophore,
the charge migration crucially depends on the hydrogen-bonding network
between solvent molecules. One obvious difference between water and
methanol is that the latter has one hydrogen bonding donor site less.
Therefore, the resulting network will exhibit fewer branches the more
methanol molecules are present in the solution. Moreover, the higher
the number of methanol molecules relative to water molecules becomes,
the lower the density will be (cf. ρ(H2O) = 0.997
g/mL; ρ(CH3OH) = 0.791 g/ml at T = 298 K and p = 1 atm.).For a comparison
of the density differences for the two mixing
ratios, see the RDFs between water and methanoloxygen atoms and all
solvent oxygen atoms, respectively, in Figure . It can be seen that only the first solvation
shell differs, whereas the remaining part of the RDF is almost identical
for the two mixing ratios. The number of particles in the first solvation
shell, as measured from r = 0 Å until the first
minimum, is 3.7 and 4.0 for water and 2.4 and 2.6 for methanol for
the XH:XCH = 0.5:0.5 and 0.7:0.3 mixtures, respectively.
It is clear, that the lower coordination number in the case of the XH:XCH = 0.5:0.5 solutions is a consequence of the lower
density. Interestingly, in the case of methanol there is a pronounced
difference between the ideal coordination number of 3 and the actual
coordination number observed in the MD.
Figure 7
Radial pair distribution
functions between oxygen atoms of a specific
solvent type (water or methanol) and all the solvent oxygen atoms
based on BLYP AIMD simulations in the electronic ground state.
Radial pair distribution
functions between oxygen atoms of a specific
solvent type (water or methanol) and all the solvent oxygen atoms
based on BLYP AIMD simulations in the electronic ground state.Summarizing this Section: Microsolvation around
7HQ, in particular
along the solvent bridge connecting the OH and N moieties, appears
to show a bias to a larger number of water molecules than the statistical
value given the XH:XCH molar fractions used, even
though the actual numbers depend on using either ab initio molecular
dynamics (AIMD) or classical molecular dynamics (CMD) routines to
determine this. For the XH:XCH mixtures investigated
here, 0.5:0.5 and 0.7:0.3, the dominant configurations involve two
or three water molecules, with ones consisting of methanol only playing
a minor role. From our simulations we deduce that solvent bridges
with full hydrogen bonds (“solvent wires”) are only
a minor part (7–17%) for the XH:XCH = 0.5:0.5 and
0.7:0.3 molar fraction ratios. Hence the most typical solvent bridge
configurations involve two to three water molecules with partially
broken hydrogen bonds. Further details are provided in the SI.
Primary Proton Transfer
Events upon Photoexcitation
of 7HQ
To investigate the mechanism of N* to Z* conversion,
we carried out first-principles adiabatic MD simulations of the fully
solvated 7HQ in the first electronically excited state, employing
TD-DFT. The main focus was on whether the reaction proceeds concertedly
via a solvent wire or sequentially in a von-Grotthuss-type hopping
mechanism. In the case of a sequential reaction, there are two further
possibilities, namely H3O+/MeOH2+ or OH–/CH3O– transport. For this reason, we prepared the system in two initial
conditions that were based on AIMD snapshots of N in the ground state:
(I.) C* with a hydrogen bonded OH–/CH3O– at the nitrogen site, and (II.) A* with an H3O+ molecule hydrogen bonded to the A*–O– site (cf. Figure ). Moreover, to allow for the possibility of a concerted
reaction, all of the selected initial configurations exhibited a solvent
wire which connected the photobasic and photoacidic sites of 7HQ.
The system was propagated adiabatically on the excited-state potential
energy surface for the duration of about 1 ps, while the migration
of the excess charge was followed. This approach allows us to assess
the temporal stability of C* and A* protonation states inside a realistic
solvent environment and helps to address the question which of the
possible reaction pathways is the most likely.
Figure 8
TD-DFT MD snapshots of
(a) A* and (b) C* with surrounding solvent
molecules. Molecules forming the wire are shown in orange. Only a
limited number of QM atoms are shown for simplicity.
TD-DFT MD snapshots of
(a) A* and (b) C* with surrounding solvent
molecules. Molecules forming the wire are shown in orange. Only a
limited number of QM atoms are shown for simplicity.The simulations reveal that for most trajectories with C*
as the
initial state, no back transfer of the proton to the adjacent negatively
charged solvent ion was observed, that would lead to the formation
of the neutral N* form. Instead, the C* form remained stable over
the course of these simulations and proton transfer reactions were
only observed within the solvent resulting in the migration of a negatively
charged solvent ion. In contrast, the proton was transferred back
to the basic 7HQoxygen atom already within the first 200 fs for trajectories
if the initial state was A*. For one of the A* trajectories, we observed
the transient formation of C*, that was formed after back-protonation
of the 7HQ hydroxyl group. Hence, an anionic charge transfer through
the solvent (i.e., based on OH– and CH3O– ions) is favored, whereas the cationic variant,
featuring H3O+ or CH3OH2+ species, is clearly disfavored. Although our MD simulations
yield a consistent picture with our experimental results, we emphasize
here that significantly longer MD simulations are necessary to unequivocally
assess whether there exists a pathway for a concerted transfer.
Charge Migration through the Water/Methanol
Solvent Bridges
To follow the picosecond dynamics of the
negative solvent ion (OH–/CH3O–) beyond the ultrafast time scales accessible by the TD-DFT MD simulations,
we carried out further AIMD simulations by employing the revPBE0 hybrid
functional and D3 dispersion corrections. The goal of our simulations
was to trace the charge migration through the solvent in close proximity
to the 7HQ chromophore and to elucidate the role of the hydrogen-bonding
network of the solvent on the charge migration mechanism. For this,
the definition of asymmetry parameter δ for proton location
along a hydrogen bond between donating and accepting sites is shown
in Figure . Here,
7HQ was modeled by classical force field potentials, where we reparametrized
the 7HQ partial charges with a restrained electrostatic potential
fit using the S1 electron density as a reference. This
treatment implicitly assumes successful acid–base dissociation
(i.e., no back-donation to the solvent occurs after the protonation
of the nitrogen site). After a short equilibration phase, the charge
migration was simulated for 10 ps starting from five different initial
conditions.
Figure 9
Definition of asymmetry parameter δ for proton location along
a hydrogen between donating and accepting sites, as used to determine
the average number of donating hydrogen bonds along the solvent bridge
as a function of δ.
Definition of asymmetry parameter δ for proton location along
a hydrogen between donating and accepting sites, as used to determine
the average number of donating hydrogen bonds along the solvent bridge
as a function of δ.The MD trajectories reveal that the negative charge (i.e., CH3O– or OH–) migrates through
the solution with the participation of both methanol and water molecules. Table presents the averaged
occurrences of all possible partial reactions. Here, a pronounced
difference between the two mixing ratios is observed: in the case
of the XH:XCH = 0.5:0.5 solutions, the charge migrates
dominantly between methanol or methoxide species, whereas for the XH:XCH = 0.7:0.3 solutions, charge transfer is almost exclusively
observed between water molecules. Therefore, at higher water concentrations
the charge migrates preferentially via water molecules whereas methanol
species play only a minor role.
Table 4
Average Occurrences
of Distinct Transfer
Reactions in Simulations Derived for Two XH:XCH Molar
Ratios
transfer
reaction
average count
for XH2O:XCH3OH = 0.5:0.5
average count
for XH2O:XCH3OH = 0.7:0.3
H2O + OH– → OH– + H2O
0.5
9
MeOH + MeO– → MeO– + MeOH
5
0.3
MeO– + H2O → MeOH + OH–
3
3
MeOH + OH– → MeO– + H2O
4
1.3
To elucidate the underlying transfer mechanism, the
hydrogen bonding
configurations of the reacting species at various times during the
transfer were analyzed. The left panel of Figure shows the average number of hydrogen bonds
for the proton-donating solvent molecule (Figure a) and the solvent ion (Figure b), respectively. It was not
distinguished as to whether the solvent ion was methoxide or hydroxide.
It can be seen that because of the lower density in the case of the XH:XCH = 0.5:0.5 mixture, the number of accepting hydrogen
bonds is reduced by about 0.2. However, when the proton is shared
between the two solvent molecules (i.e., for structures close to the
transition state), the number of hydrogen bonds is the same for both
water/methanol ratios. Therefore, the simulations strongly support
that the same underlying transfer mechanism exists in both cases.
During the transfer, the number of accepted hydrogen bonds at the
donor molecule increases to its ideal number, 2. On the other hand,
the number of accepting hydrogen bonds at the solvent ion drops on
average to 2.9 at the transition state. This has important consequences.
In the case of the XH:XCH = 0.5:0.5 solution, larger
changes in the hydrogen-bonding network are required at the donor
molecule because the number of accepting hydrogen bonds is less because
of the lower density. The situation is reversed for the XH:XCH = 0.7:0.3 mixtures. Here, the changes in the hydrogen bonding configuration
are most pronounced at the solvent ion. This is because at higher
water concentrations there is an increasing number of hypercoordinated
methanolate or hydroxide ions (i.e., structures that accept four hydrogen
bonds). Consequently, the coordination number difference between solvent
ions in their minimum free energy and their transition-state configuration
also increases. Therefore, our simulations reveal that two mechanistically
counteracting effects are occurring when altering the water/methanol
ratio. Notably, the changes in hydrogen bonding are larger in the
case of the XH:XCH = 0.5:0.5 solutions, which may be one
reason for the lower conductivities in this case.
Figure 10
Average number of accepted
hydrogen bonds of (a) the proton-donating
solvent molecule and (b) the solvent ion (OH– or
CH3O–) as a function of the proton transfer
time. The time origin is the time when the proton is symmetrically
shared between donating and accepting oxygen atoms. Note that the
proton-donating solvent molecule and the solvent ion definitions interchange
their respective roles for times >0. (c) Average number of donating
hydrogen bonds of the OH– ion as a function of the
asymmetry parameter δ (as defined in Figure ) for the two mixing ratios. A small δ
value indicates structures close to the transition state, where the
proton is symmetrically shared between the two oxygen atoms, whereas
larger values indicate structures close to free-energy minima.
Average number of accepted
hydrogen bonds of (a) the proton-donating
solvent molecule and (b) the solvent ion (OH– or
CH3O–) as a function of the proton transfer
time. The time origin is the time when the proton is symmetrically
shared between donating and accepting oxygen atoms. Note that the
proton-donating solvent molecule and the solvent ion definitions interchange
their respective roles for times >0. (c) Average number of donating
hydrogen bonds of the OH– ion as a function of the
asymmetry parameter δ (as defined in Figure ) for the two mixing ratios. A small δ
value indicates structures close to the transition state, where the
proton is symmetrically shared between the two oxygen atoms, whereas
larger values indicate structures close to free-energy minima.Our results are in line with what one would expect
from the presolvation
concept proposed by Tuckerman et al.[23,24] However, these
studies pointed out that in the dynamical hypercoordination mechanism
of hydroxide ion migration in water, a donating hydrogen bond of the
hydroxide ion plays an important role. To investigate this for our
water/methanol mixtures, we computed the average number of donating
hydrogen bonds of the hydroxide ion for different stages of the reaction.
Note that methoxide lacks the possibility to donate a hydrogen bond.
The results are shown in Figure c. It can be seen that with increasing water concentration
the average number of hydrogen bonds increases drastically. The relative
frequency more than doubles when going from XH:XCH = 0.5:0.5 to 0.7:0.3 molar fraction ratios. Moreover, it increases
significantly for structures that share the proton symmetrically (low
δ values), but the relative frequencies of a donating hydrogen
bond are still low for both ratios. Hence, the donating hydrogen bond
of the hydroxide ion plays only a minor role in the case of the investigated
concentration ratios and therefore is not a necessary condition for
the charge transfer in water/methanol mixtures at the concentrations
investigated here.
Conclusions
We have
studied, in a combined femtosecond UV/IR pump–probe
spectroscopic and ab initio molecular dynamics study, proton exchange
dynamics between the proton-donating naphtholOH group and the proton-accepting
quinoline N-moiety of bifunctional photoacid7HQ in water/methanol
solvent mixtures. We can exclude the major role of the sequential
proton excess (protonated water/methanol) transport mechanism (pathway
I in Figure b) because
our findings on solvent-composition-dependent changes in reaction
rates are not compatible with those with respect to the acidities
of the proton-donating naphthol unit in 7HQ. We can also exclude that
direct “concerted” proton transfer occurs for a fraction
of 7HQ (pathway III in Figure b), as even though for about 10% of the ensemble a full hydrogen-bonded
solvent network exists that connects proton-donating and -accepting
sides upon electronic excitation, and our detailed kinetic analysis
of the transient UV/IR pump–probe spectra does not show any
significant early time components that would support a transfer event
within the lifetimes of this “solvent wire” (that will
not extend beyond several picoseconds[54,55]). One may
argue that a direct proton exchange occurs on ultrafast (femtosecond/few
picosecond) time scales only when an intact hydrogen-bonded network
is formed, and the ensemble-averaged reaction time constants of tens
to hundreds of picoseconds are merely a result of long waiting times
between the breaking and formation of these “solvent wires”.
Both free-energy–reactivity correlations (complying with values
observed for proton transfer in the bulk solvent) and trajectories
resulting from the ab initio molecular dynamics simulations point
to a sequential transfer mechanism, with proton abstraction from the
solvent event being the first as well as the rate-determining step.
Hence, we conclude that proton exchange between the proton-donating
naphtholOH group and the proton-accepting quinoline N-moiety of the
bifunctional photoacid7HQ, linked together by a water/methanol solvent
bridge, occurs by a sequential hydroxide/methoxide transport mechanism
taking place on ensemble-averaged time scales of tens to hundreds
of picoseconds (pathway II in Figure b).The observation that charge migration along
a preformed solvent
bridge at the hydrophobic 7HQ–solvent interface proceeds in
a stepwise manner has direct implications for the understanding of
charge migration along other hydrophobic interfaces, such as in proton
channels, where there is still an ongoing debate as to whether concerted
proton transfer is the reason for the high efficiencies of biological
proton channels. Free-energy–reactivity correlations show that
for all XH:XCH mixing ratios bulk acidities (pKa values) follow general trends in solvent polarity,
strongly advocating for further studies of the applicability of such
correlations between acidities and reaction time scales for proton
transport near apolar regions, as well as polar or ionic functionalities
within transmembrane proteins and hydrogen fuel cells. In this context,
our results may be of use in both accurate pKa value determination[56,57] under solvent conditions
clearly different from those of bulk water[58] and detailed studies of particular proton-donating or -accepting
groups in proton-pump transmembrane proteins[8,59−61] or proton-exchange membrane fuel cells.[62−64] Finally, our combined experimental and theoretical study shows the
equal importance of hydrolysis/methanolysis as possible alternative
pathway to the more intensively studied protolysis pathway for acid–base
neutralization in protic solvents as originally formulated by Eigen.
Authors: Ali Hassanali; Federico Giberti; Jérôme Cuny; Thomas D Kühne; Michele Parrinello Journal: Proc Natl Acad Sci U S A Date: 2013-07-18 Impact factor: 11.205
Authors: Hyun Ju Lee; Emelie Svahn; Jessica M J Swanson; Håkan Lepp; Gregory A Voth; Peter Brzezinski; Robert B Gennis Journal: J Am Chem Soc Date: 2010-10-21 Impact factor: 15.419
Authors: Felix Hoffmann; Maria Ekimova; Gül Bekçioğlu-Neff; Erik T J Nibbering; Daniel Sebastiani Journal: J Phys Chem A Date: 2016-11-18 Impact factor: 2.781
Authors: Christian Spies; Shay Shomer; Björn Finkler; Dina Pines; Ehud Pines; Gregor Jung; Dan Huppert Journal: Phys Chem Chem Phys Date: 2014-05-21 Impact factor: 3.676
Authors: Ellen M Adams; Hongxia Hao; Itai Leven; Maximilian Rüttermann; Hanna Wirtz; Martina Havenith; Teresa Head-Gordon Journal: Angew Chem Int Ed Engl Date: 2021-10-04 Impact factor: 16.823
Authors: Jurick Lahiri; Mehdi Moemeni; Ilias Magoulas; Stephen H Yuwono; Jessica Kline; Babak Borhan; Piotr Piecuch; James E Jackson; G J Blanchard; Marcos Dantus Journal: Phys Chem Chem Phys Date: 2020-09-02 Impact factor: 3.676
Authors: Sebastian Eckert; Marc-Oliver Winghart; Carlo Kleine; Ambar Banerjee; Maria Ekimova; Jan Ludwig; Jessica Harich; Mattis Fondell; Rolf Mitzner; Ehud Pines; Nils Huse; Philippe Wernet; Michael Odelius; Erik T J Nibbering Journal: Angew Chem Int Ed Engl Date: 2022-04-27 Impact factor: 16.823