Proton transfer in water is ubiquitous and a critical elementary event that, via proton hopping between water molecules, enables protons to diffuse much faster than other ions. The problem of the anomalous nature of proton transport in water was first identified by Grotthuss over 200 years ago. In spite of a vast amount of modern research effort, there are still many unanswered questions about proton transport in water. An experimental determination of the proton hopping time has remained elusive due to its ultrafast nature and the lack of direct experimental observables. Here, we use two-dimensional infrared spectroscopy to extract the chemical exchange rates between hydronium and water in acid solutions using a vibrational probe, methyl thiocyanate. Ab initio molecular dynamics (AIMD) simulations demonstrate that the chemical exchange is dominated by proton hopping. The observed experimental and simulated acid concentration dependence then allow us to extrapolate the measured single step proton hopping time to the dilute limit, which, within error, gives the same value as inferred from measurements of the proton mobility and NMR line width analysis. In addition to obtaining the proton hopping time in the dilute limit from direct measurements and AIMD simulations, the results indicate that proton hopping in dilute acid solutions is induced by the concerted multi-water molecule hydrogen bond rearrangement that occurs in pure water. This proposition on the dynamics that drive proton hopping is confirmed by a combination of experimental results from the literature.
Proton transfer in water is ubiquitous and a critical elementary event that, via proton hopping between water molecules, enables protons to diffuse much faster than other ions. The problem of the anomalous nature of proton transport in water was first identified by Grotthuss over 200 years ago. In spite of a vast amount of modern research effort, there are still many unanswered questions about proton transport in water. An experimental determination of the proton hopping time has remained elusive due to its ultrafast nature and the lack of direct experimental observables. Here, we use two-dimensional infrared spectroscopy to extract the chemical exchange rates between hydronium and water in acid solutions using a vibrational probe, methyl thiocyanate. Ab initio molecular dynamics (AIMD) simulations demonstrate that the chemical exchange is dominated by proton hopping. The observed experimental and simulated acid concentration dependence then allow us to extrapolate the measured single step proton hopping time to the dilute limit, which, within error, gives the same value as inferred from measurements of the proton mobility and NMR line width analysis. In addition to obtaining the proton hopping time in the dilute limit from direct measurements and AIMD simulations, the results indicate that proton hopping in dilute acid solutions is induced by the concerted multi-water molecule hydrogen bond rearrangement that occurs in pure water. This proposition on the dynamics that drive proton hopping is confirmed by a combination of experimental results from the literature.
Proton
transport in water is a central step in many natural and
technological processes. In aqueous systems, protons can diffuse much
more rapidly than water molecules or small cations owing to proton
relay in the structural diffusion mechanism, as opposed to a vehicular
mechanism for other metal cations.[1] Structural
diffusion describes proton diffusion as occurring via hops between
water molecules.[1] The anomalously rapid
diffusion of protons in water was first noted by Grotthuss in an 1806
paper,[2] and hence the mechanism is frequently
referred to as the Grotthuss mechanism, although he did not present
the molecular-level picture. The atomistic details of this mechanism
have been the focus of extensive experimental and theoretical work
to elucidate the structures the proton forms in solution, the mechanisms
for their interconversion, and how to probe them spectroscopically.[3−22] In a simplified physical picture, the fundamental event is proton
transfer from a hydronium cation (H3O+), which
is a water molecule with an extra proton (proton defect), to one of
the water molecules to which it is hydrogen bonded. The newly formed
H3O+ then transfers a proton, which is not necessarily
the same proton, to another water molecule. This process is referred
to as proton hopping. For over 200 years, there has been no direct
observation of the time it takes a proton to move from a hydronium
cation to the water molecule which receives the proton. Experimental
determination of this proton transfer time has proven to be a major
challenge. Here, we overcome this challenge by experimentally obtaining
the proton hopping times in concentrated hydrochloric (HCl) acid solutions
and demonstrate that this hopping time can be extrapolated to the
dilute limit. Within error, the dilute limit hopping time obtained
here is the same as that inferred from measurement of the proton diffusion
constant.[6,23,24] In addition,
the proton hopping time is the same as the time for concerted hydrogen
bond (H-bond) rearrangement in pure water, suggesting that it is the
water H-bond rearrangement that induces proton hopping.In solution,
the proton defect is solvated by water molecules which
form H-bonds that stabilize it in its local environment. Within a
given solvation environment, transient local deformations such as
proton rattling and bending and stretching of the hydronium occur
on a time scale of ∼100 fs.[7,9,16,25] Over longer picosecond
time scales, structural reorganization of the H-bond network occurs,[6,19,26] which alters the solvation environment
of the proton defect and allows proton transfer to neighboring water
molecules to occur when they can better stabilize the proton. The
longer time scale has previously been determined using static NMR
measurements with line width analysis[6] and
ionic mobility experiments based on a Gaussian diffusion model,[26] both of which are heavily model dependent. Hence,
direct time-resolved measurements of the proton transfer dynamics
are important and useful to elucidate details of the proton hopping
process.H-bond dynamics of pure water[27] as well
as water–ion complex dynamics[28] have
been successfully addressed using ultrafast nonlinear infrared experiments
performed on the OD or OH hydroxyl stretch of HOD vibrational probes
in H2O or D2O. However, to perform experiments
on the hydronium ion requires a hydronium concentration that approaches
that of water; i.e., the experiments require using highly concentrated
acid solutions. In such solutions, time-dependent infrared measurements
of the proton transfer rate have not been possible due to the extremely
broad and heavily overlapping IR absorption spectra of the water and
hydronium species[5,15] and the short vibrational lifetimes
of the OH or OD vibrational probes, usually of less than 1 ps in acidic
solution.[7,16] As such, recent experiments were only able
to place a lower bound of 480 fs on the time scale[17] and suggest an upper limit of ∼2.5 ps.[16]Here, a new approach was successfully
applied. Two-dimensional
infrared (2D IR) chemical exchange experiments were performed on a
long-lived vibrational probe with a well-defined absorption line shape.
The chemical exchange experiments yielded the time for a hydronium
ion to transfer a proton and become a water molecule and for a water
molecule to receive a proton and become a hydronium. Ab initio molecular
dynamics (AIMD) simulations provided molecular-level understanding
of the observables and are the key to understanding and determining
the proton hopping time. Experimental and simulation concentration
studies permitted the measured transfer times to be extrapolated to
infinite acid dilution. The results presented here are consistent
with the previous indirect determinations of the single step proton
hopping time,[6,26] and utilization of experimental
results from the literature[23,29,30] leads to the conclusion that proton hopping is driven by the concerted
hydrogen bond (H-bond) rearrangement that occurs in pure water.
Results and Discussion
Experiments
Water
and hydronium are
in equilibrium in concentrated HCl solutions. Hence when looking at
a particular oxygen atom, sometimes it forms part of a water molecule
and sometimes it forms part of a hydronium cation, which interconvert
as protons move on and off the oxygen. The key questions are how long
does it take for a proton to move off the oxygen (hydronium to water), and how
long does it take for a proton to move onto the oxygen atom (water
to hydronium)?2D IR chemical exchange spectroscopy has been
applied to a variety of systems.[28,31] For two species,
A and B, with different vibrational spectra for a given vibrational
mode, at short time (Tw) the 2D spectrum
has two peaks on the diagonal. Because the system is in equilibrium,
A converts to B and vice versa, with no net change in the A and B
concentrations. The interconversion of species causes off-diagonal
peaks to grow in as Tw is increased, one
peak for A → B and the other for B → A. Detailed analysis
of the off-diagonal and diagonal peak volume time dependences, combined
with the equilibrium constant, gives the two rate constants.There are four pulses in a 2D IR experiment. The first pulse labels
the molecules with their initial vibrational frequencies, and the
second pulse stores this information. The third pulse, after a variable
waiting time Tw, stimulates the emission
of the echo pulse, which reads out the final frequencies. When Tw is very short, final frequencies are the same
as the initial frequencies, so the 2D spectrum has only diagonal peaks.
As Tw becomes longer, because of the chemical
exchange there are new final frequencies, the off-diagonal peaks.
Providing that the peaks in the FT-IR spectrum can be assigned to
the species, then chemical exchange data can be extracted from the
2D spectra even if the Fourier transform IR (FT-IR) spectra of the
two species overlap extensively.[28] To use
2D IR chemical exchange spectroscopy to measure the water-hydronium
chemical exchange, we have employed a new vibrational probe, the CN
stretch of methyl thiocyanate (MeSCN). The N lone pair is an H-bond
acceptor for both water and hydronium. Figure A shows FT-IR spectra of the CN stretch as
a function of HCl concentration. The blue curve, a narrow symmetric
peak centered at 2162 cm–1, is the spectrum in pure
H2O. The inset shows the results of 2D IR spectral diffusion
experiments on H2O using MeSCN. For a single component
system, spectral diffusion reports on the dynamics of the system,
i.e., water H-bond dynamics.[27] The data
were fit with a biexponential, yielding time constants that are identical
to those measured using the OD stretch of HOD in H2O.[32] Simulations show that the 0.4 ps time constant
arises from small local H-bond motions, while the 1.7 ps time constant
is the H-bond rearrangement time.[27] Therefore,
the CN stretch of MeSCN accurately reports on the H-bond dynamics
in water. This also indicates that MeSCN induces negligible perturbation
to the dynamics of the hydrogen bond network, which further validates
the application of this probe in concentrated acid solutions.
Figure 1
(A) CN stretch
spectra of MeSCN in water and in several HCl solutions
of high concentration. As the HCl concentration increases, the shoulder
on the high-frequency side increases in amplitude. Inset: Spectral
diffusion data from the CN stretch in pure water. The decay constants
are the same as those reported previously using the water hydroxyl
stretch (OD of HOD in H2O) showing the MeSCN is an accurate
reporter of water dynamics. (B) CN stretch spectrum decomposed into
bands corresponding to water H-bonded to the N of CN (red curve) and
hydronium H-bonded to N (green curve).
(A) CN stretch
spectra of MeSCN in water and in several HCl solutions
of high concentration. As the HCl concentration increases, the shoulder
on the high-frequency side increases in amplitude. Inset: Spectral
diffusion data from the CN stretch in pure water. The decay constants
are the same as those reported previously using the water hydroxyl
stretch (OD of HOD in H2O) showing the MeSCN is an accurate
reporter of water dynamics. (B) CN stretch spectrum decomposed into
bands corresponding to water H-bonded to the N of CN (red curve) and
hydronium H-bonded to N (green curve).Recently, the use of MeSCN in lithium chloride (LiCl) solutions
in which the CN stretch has two distinct absorption peaks, one corresponding
to the nitrogen lone pair H-bonded to water (water-associated state)
and the other related to the Li+-associated MeSCN, was
reported. The two distinct peaks in the spectrum arise because of
substantial electrostatic interaction.[32] The observations on the LiCl solutions and the concentration dependence
shown in Figure A
demonstrate that the growing absorption shoulder on the high-frequency
side as HCl concentration increases corresponds to an emergent hydronium-associated
state (H), while the peak position of the original water-associated
state (W) remains unchanged within experimental error. Assuming that
the two components’ absorption line shapes are constant for
the three HCl concentrations, scaled subtraction leads to the separation
of H and W states. Figure B shows the spectrum of 10.8 M HCl (1:4 HCl/water) and the
two component fit to the spectrum (see Supporting Information). The red curve, water H-bonded to the nitrogen,
is almost identical to the peak in pure water. The green curve, hydronium
H-bonded to the nitrogen, is broader and shifted to a higher frequency
by 7.9 cm–1. The sum of these two components reproduces
the absorption spectra of the other two HCl solutions very well. While
the two peaks overlap substantially, the spectral separation is sufficient
to perform the chemical exchange experiments.Figure presents
representative chemical exchange data for the 10.8 M HCl solution.
The two columns show short time (Tw =
0.6 ps, left) and long time (Tw = 25 ps,
right) data and calculations. The top row is experimental data. At
0.6 ps, there has been insufficient time for water and hydronium to
interconvert to any significant extent, and there are at most very
small indications of the initial growth of off-diagonal peaks. By
25 ps, substantial chemical exchange has occurred, and the off-diagonal
exchange peaks are prominent. The data were quantitatively analyzed
at many Tw’s as described in the Supporting Information and previously.[32] The second row shows modeled data using rate
equations and 2D Gaussian functions, which do an excellent job of
reproducing the experimental data. Modeled data are used to extract
the diagonal and off-diagonal peak volumes at each Tw. The third row contains calculated data but with chemical
exchange turned off in the calculations. Comparing the right-hand
panel of the third row to the first and second rows clearly demonstrates
the influence of chemical exchange on the 2D spectra. The chemical
exchange can be modeled with the following equationwhere kHW and kWH corresponds to the rates for
the interconversion
between H and W. With additional consideration of vibrational lifetimes,
one can use a general rate scheme (see Supporting Information) to fit the experimental population evolution data.
Because the relation between kHW and kWH is fixed by an equilibrium constant, which
was measured separately, there are only three adjustable parameters:
the exchange rate, the CN stretch lifetime for water-bound CN, and
the lifetime for hydronium-bound CN. The lifetimes were obtained by
fits to all three concentrations to improve accuracy; i.e., only the
exchange rate (kHW or kWH) changes with the HCl concentration.
Figure 2
Two-dimensional IR experimental
and calculated spectra at two times
showing the effects of chemical exchange. Top: The off-diagonal chemical
exchange peaks have grown in by Tw = 25
ps. Middle: Spectra calculated using the chemical exchange kinetic
equations, which reproduce the data very well. Bottom: Spectra calculated
leaving the chemical exchange terms out of the kinetic equations.
The off-diagonal peaks are absent.
Two-dimensional IR experimental
and calculated spectra at two times
showing the effects of chemical exchange. Top: The off-diagonal chemical
exchange peaks have grown in by Tw = 25
ps. Middle: Spectra calculated using the chemical exchange kinetic
equations, which reproduce the data very well. Bottom: Spectra calculated
leaving the chemical exchange terms out of the kinetic equations.
The off-diagonal peaks are absent.Figure displays
the time dependence of the 2D spectra for the three HCl concentrations
(see Figure ), namely,
the molar ratio of HCl to water being 1:4, 1:5, and 1:6. The circles
are the data. The solid curves are the simultaneous fits of the parameters
in the rate scheme (see Supporting Information) with one set of parameters for all of the data in each panel. The
diagonal peaks (black and red data and fits) decay because of the
vibrational lifetimes and chemical exchange. The off-diagonal peaks
(blue data and fits) increase because of chemical exchange and decay
because of the lifetimes. The kinetic model involves the following
chemical equilibriumwhere kf is the
rate constant for hydronium H-bonded to CN switching to water being
H-bonded to CN, and kb is for the opposite
process. From the comparison between eqs and 2, the hydronium to water
rate is and the water to hydronium rate
is . For the water concentrations
corresponding
to the 1:4, 1:5, and 1:6 solutions, kf = 4.1 ± 0.8, 5.0 ± 0.9, and 4.4 ± 0.7 ns–1 M–1, respectively. Within experimental error, kf is independent of the water concentration
over the range studied, with the average kf = 4.5 ns–1 M–1. This independence
of kf on concentration reinforces the
validity of the rate scheme.
Figure 3
Chemical exchange data (points) for three HCl/water
concentrations.
τHW and τWH: times for the species
H-bonded to MeSCN to switch, hydronium to water and water to hydronium,
respectively. The solid curves through the data in each panel are
fits to the data with one set of fitting parameters giving all three
curves. The fits yield the chemical exchange rates.
Chemical exchange data (points) for three HCl/water
concentrations.
τHW and τWH: times for the species
H-bonded to MeSCN to switch, hydronium to water and water to hydronium,
respectively. The solid curves through the data in each panel are
fits to the data with one set of fitting parameters giving all three
curves. The fits yield the chemical exchange rates.The exchange rate constants in LiCl solution are
about 7 times
smaller than those of HCl solution.[32] This
large difference resembles the anomalous proton ion mobility compared
to Li+ cations in aqueous solution. There are two mechanisms
of proton transport in aqueous solution: vehicular (Stokes) diffusion
in which the oxygen atom carrying the extra proton moves through the
water and structural diffusion (proton relay) in which the proton
hops from one oxygen atom to another with associated hydrogen bond
reorganization.[1]Proton transfer
(hopping) is observable as chemical exchange (see Figure , left side). There
is another mechanism that can also give rise to the observed chemical
exchange, replacement (see Figure , right side). Replacement can involve movement of
the hydronium ion as a whole, but not necessarily. Both proton hopping
and replacement convert the N lone pair H-bonded to hydronium (N-hydronium)
to an N H-bonded to water (or vice versa) but differ in how this occurs.
For proton hopping the N-hydronium is converted to an N-water by transfer
of a proton from the hydronium bound to the N lone pair to another
water molecule. This leaves the same oxygen H-bonded to the N, and
thus the original H-bond is not broken. For replacement, starting
with an N-hydronium, a water molecule moves in and forms an H-bond
to the N while breaking the one to the hydronium. The hydronium that
was bonded to the N is thus physically replaced by a water, but it
is still a hydronium. The experimentally observed chemical exchange
cannot distinguish between proton hopping and replacement, but this
can be elucidated using AIMD simulations.
Figure 4
Depiction of the proton
transfer and water replacement mechanisms
described in the text. Both of these mechanisms result in the N of
MeSCN converting from being hydrogen bonded to a hydronium hydrogen
(H*) to being hydrogen bonded to water hydrogen (H), but how this
occurs differs between them. In the case of proton transfer, the blue
shaded H* atom that is initially bound to the N of MeSCN is still
hydrogen bonded to N after the transition, but is no longer an H*
as it has become an H. A proton has hopped to a different oxygen.
In the case of water replacement, the blue shaded H* atom is still
an H*, but is no longer hydrogen bonded to the probe. A water has
moved in and replaced the hydronium.
Depiction of the proton
transfer and water replacement mechanisms
described in the text. Both of these mechanisms result in the N of
MeSCN converting from being hydrogen bonded to a hydronium hydrogen
(H*) to being hydrogen bonded to waterhydrogen (H), but how this
occurs differs between them. In the case of proton transfer, the blue
shaded H* atom that is initially bound to the N of MeSCN is still
hydrogen bonded to N after the transition, but is no longer an H*
as it has become an H. A proton has hopped to a different oxygen.
In the case of water replacement, the blue shaded H* atom is still
an H*, but is no longer hydrogen bonded to the probe. A water has
moved in and replaced the hydronium.
Simulations
To elucidate the mechanisms
observed in the chemical exchange experiments, AIMD simulations were
conducted (see Supporting Information).
As an initial test of the simulations, orientational relaxation of
the probe molecule in neat water was measured and simulated. The experimental
and simulated orientational relaxation times of the probe in neat
water are 4.7 ± 0.2 ps[32] and 4.8 ps,
respectively. In the concentrated HCl solution, the average orientational
relaxation time of all probe molecules independent of bonding partner
is 5.9 ± 0.4 ps at 10.8 M from experimental and 6.4 ps at 9.8
M from the simulations (see Supporting Information), in excellent agreement. As has been shown previously,[5,33] protons in aqueous solution exist in a wide range of proton-sharing
environments between the Eigen and Zundel complexes. Statistically,
few protons sit right in the middle between two water molecules as
in a standard Zundel complex, and few belong to a strict concept of
Eigen complex.[5] However, most protons are
closer to one oxygen atom than to another. Therefore, we view the
proton defect as a hydronium cation, H3O+, and
the proton belongs to whichever oxygen it is closest to. A proton
hopping event corresponds to a transfer of a proton defect from one
oxygen to another, which should be distinguished from the proton rattling
events happening on an ∼100 fs time scale and leads to the
H returning to the same oxygen. In the simulations, we observed fast
proton rattling events on the time scale of ∼100 fs.Figure A shows the
joint probability distribution of the CN stretch frequency and the
distance of the closest H atom of a hydronium (H*) to the N (see Supporting Information). Two maxima are observed
in this distribution at 1.7 and 3.15 Å, with the former corresponding
to H* being H-bonded to the N of the probe and the latter corresponding
to a water H-bonded to the N. These maxima correspond to the positions
of the first two peaks in the N–H* radial distribution function
(RDF) for MeSCN in HCl solution (see Supporting Information). When H* is H-bonded to the N, a higher CN frequency
is observed than when it is bound to water. Figure B shows the simulated CN stretch vibrational
spectrum (blue curve), and the water-bound (red curve) and hydronium-bound
(green curve) components. The simulated CN spectrum peak in the acid
solution is at 2143 cm–1, which is shifted by −20
cm–1 from the experimental spectrum (Figure B). Decomposing the peak into
the water-bound and hydronium-bound components, using the first minimum
in the N–H* RDF to define whether a hydronium is bound or not,
gives a splitting between the two species of 7.8 cm–1, compared to the experimental splitting of 7.9 cm–1. To compare the peak intensities obtained from experiment and simulation,
the intensity of the hydronium component was multiplied by 1.6 to
account for its larger transition dipole determined experimentally
(see Supporting Information). Even with
this correction included, the hydronium bound peak obtained from the
simulation is comparatively lower in intensity than the water one
when compared to experiment. This discrepancy is because the simulations
predict a slightly lower binding of the hydronium to the probe (20%
of the time) than experimentally observed (36% of the time), which
corresponds to a ∼0.5 kcal mol–1 difference
in the free energy between the water and hydronium bound states relative
to experiment (see Supporting Information).
Figure 5
(A) 2D probability distribution of the CN stretch frequency and
the distance of the N atom of MeSCN to the closest hydronium hydrogen
(H*), obtained from AIMD simulations. (B) Simulated CN stretch spectrum
decomposed into water and hydronium bound components.
(A) 2D probability distribution of the CN stretch frequency and
the distance of the N atom of MeSCN to the closest hydronium hydrogen
(H*), obtained from AIMD simulations. (B) Simulated CN stretch spectrum
decomposed into water and hydronium bound components.To assess the H-bonds formed by the probe, Figure shows the simulated
probability distributions
of distance vs angle for water and hydronium H-bonding to the MeSCNnitrogen or a wateroxygen. For water H-bonding to water or to MeSCN
(top panels), the distributions are almost the same. The H-bond of
water to N is slightly longer than to oxygen, 1.83 vs 1.78 Å,
showing that a MeSCN–water H-bond is only slightly weaker than
a water–water H-bond. The angular distributions are almost
the same. For hydronium H-bonding to water or MeSCN (bottom panels),
the differences are larger; the length of the hydronium–N H-bond
is 1.66 Å, while the H-bond to a wateroxygen is 1.48 Å,
and the hydronium-N H-bond has a broader angular distribution. Therefore,
the simulated MeSCN–hydronium H-bond is weaker than the water-hydronium
H-bond. The small difference in hydrogen bonding strength causes at
most a secondary effect on the observed proton hopping kinetics, as
proton hopping occurs between the hydronium and the two water molecules
bound to hydronium hydrogens rather than to the nitrogen of the MeSCN.
In addition, the actual hydrogen bonding difference is smaller than
suggested by the simulations because simulations somewhat underestimate
the hydronium-bound population as shown by comparison of the experimental
and simulated amplitudes of the spectra displayed in Figures and 5, respectively.
Figure 6
AIMD simulations of distance vs angle, 9.8 M HCl. (A)
H of water
H-bonded to water. (B) H of water H-bonded to N of MeSCN. (C) H of
hydronium H-bonded to water. (D) H of hydronium H-bonded to N of MeSCN.
AIMD simulations of distance vs angle, 9.8 M HCl. (A)
H of water
H-bonded to water. (B) H of water H-bonded to N of MeSCN. (C) H of
hydronium H-bonded to water. (D) H of hydronium H-bonded to N of MeSCN.In the simulations the off-diagonal
peaks grow in with the relaxation
to equilibrium with a time constant,For the 10.8 M HCl concentration,
the experimental
value is τeq = 4.9 ps, while the
simulated value for 9.8 M HCl is 2.2 ps. The faster time constant
in the simulations is again consistent with the 0.5 kcal mol–1 discrepancy observed in the equilibrium state populations of being
bound to water vs hydronium, which, if also applied to the barrier
for dissociation, would account for a ∼2.3 fold speed-up in
the dynamics.As has been mentioned in the Experiments subsection and illustrated in Figure , the dynamics reflected in τeq can have two contributions, proton
hopping and replacement. Our
simulations provide a way to assess the relative sizes of these contributions
to the rate. In 9.8 M HCl, hopping accounts for 80% of the rate at
which a proton defect bound to the MeSCN probe becomes a water bound
to the probe (see Supporting Information). Simulations of HCl solutions without the probe present were performed
from 0.8 to 10.5 M. In these simulations, with a water replacing the
MeSCN as the probe, a hopping component of 90% was obtained at every
HCl concentration using the same analysis. The lower hopping percentage
when the MeSCN probe is bound to the defect is likely due to the weaker
H-bond of hydronium to MeSCN compared to water (Figure ). The structure and dynamics of concentrated
HCl solutions have previously been examined extensively.[34−40] It was suggested that proton structural diffusion may not be the
main proton transport mechanism in concentrated HCl due to the low
proton conductivity, which could be explained by a regular vehicular
mechanism.[40] However, this does not rule
out local proton hopping, which our simulation has shown to dominate
the chemical exchange kinetics. The low proton conductivity may result
from the slowed hydrogen bond rearrangements due to the crowded ionic
environment and less extended hydrogen bond network. In pure water,
the structural diffusion mechanism is ∼5–6 times faster
than the vehicular mechanism. As will be shown later, the hydrogen
bond rearrangement dynamics, which drive the structural diffusion,
are slowed by a factor of around 2 in concentrated HCl solution. Therefore,
at high concentration, it is not surprising that the vehicular mechanism
provides a larger proportion of the diffusion relative to the structural
component.
Extrapolation to Infinite
Dilution and Determination
of the Hopping Time
To determine the proton hopping rate
at low acid concentration, several factors must be taken into account.
First, the experimental kf obtained from
the probe is concentration independent (4.5 ns–1 M–1) within error at the high HCl concentrations
studied (10.8, 9.1, and 7.8 M). When extrapolating to the dilute limit
using kHW = kf [H2O], the change of water concentration is required.
Second, at low concentration, a hydronium is H-bonded to three water
molecules, giving three pathways for a proton to leave the hydronium.
However, with the probe present, at most two of these H* leaving pathways
are available since the proton cannot transfer onto the probe itself.
In addition, at high concentrations some proton defects are coordinated
by Cl– counterions present in the solution, which
also reduces the number of pathways. By performing simulations of
aqueous HCl without the probe present from 0.8 to 10.5 M (see Supporting Information), we found that although
the total kf observed varies as a function
of acid concentration, the kf per leaving
pathway, or per coordinated water molecule, is independent of concentration (see Supporting Information). For example, for acid without the probe present at 0.8, 2, and
10.5 M, the number of leaving paths obtained from our simulations
was 3, 2.94, and 2.14, respectively. In the experiments, only proton
defects that are bound to MeSCN are observed. Simulations at 9.8 M
HCl concentration including the MeSCN probe show that proton defects
coordinated to the probe have 1.7 available pathways on average. Overall,
the extrapolation from concentrated HCl solution to the dilute limit
needs to account for the fraction that is due to hopping (80%), the
water concentration increase, and the increase in pathways from 1.7
to 3. Using these factors gives,Using the pure water concentration,This value is then increased by 3/1.7 to account
for the increase in the number of leaving pathways at low concentration,
i.e., kHWhop = 0.35 ps–1, and the hopping
time, τhop = 2.9 ps.In addition
to the three straightforward modifications made above to extrapolate
to infinite dilution, there is a physical argument indicating that
another correction is in order. Strong experimental support for this
argument will be presented below. The water molecules that are H-bonded
to the hydronium cation are part of the extended H-bond network. For
the proton to hop requires H-bond rearrangement.[5,10,19,21] In pure water,
2D IR spectral diffusion experiments[27,32] (Figure A inset) and simulations[27] show that H-bond network rearrangement, which
is a concerted process involving many water molecules,[41] is the slowest component of the spectral diffusion.
The H-bond network rearrangement in pure water occurs with a time
constant of 1.7 ± 0.1 ps (Figure ). 2D IR measurements of the spectral diffusion of
the water peak (Figure ) for all three HCl concentrations and pure water are shown in Figure . Because of the
overlap of the bands in the HCl solutions, the data are somewhat noisy.
The decays for the three data sets are the same within experimental
error. The data were fit as one data set. The long time component,
3.1 ± 0.5 ps, indicates that the H-bond network rearrangement
is ∼2 faster in pure water than in the HCl solutions. In the
dilute limit, a hydronium will be embedded in the extended water H-bond
network, which is undergoing rearrangement with a 1.7 ps time constant.
Assuming that these water H-bond rearrangements induce the proton
hop, it is reasonable that the dilute kHWhop will be a factor
of 3.1/1.7 larger than in the HCl solutions, giving kHWhop ≅
0.64 ps–1, or the hopping time, τhop = 1.6 ps.
Figure 7
2D IR data and fits of H-bond structural dynamics
in concentrated
HCl solutions and pure water showing a factor of ∼2 slowing
of the H-bond network rearrangement in the HCl solutions (3.1 ps vs
1.7 ps).
2D IR data and fits of H-bond structural dynamics
in concentrated
HCl solutions and pure water showing a factor of ∼2 slowing
of the H-bond network rearrangement in the HCl solutions (3.1 ps vs
1.7 ps).This value can be compared to τhop obtained from very low acid concentration
conductivity measurements
of the proton diffusion constant[23,24] and by NMR.[6] These measurements gave values of τhop = 1.6–1.8 ps.[6,23,24] The values from mobility and NMR measurements are,
within error, the same as the extrapolated value in the dilute limit
obtained from the 2D IR chemical exchange experiments.The chemical
exchange measurements of proton hopping extrapolated
to infinite dilution gave the same hopping time as determined from
proton mobility measurements[23,24] and NMR measurements
within error.[6] One of the factors in the
extrapolation was the assumption that it was necessary to scale the
high HCl concentration hopping time results by the ratio of H-bond
rearrangement time in pure water to the time at high HCl concentration
as determined by the 2D IR spectral diffusion measurements displayed
in Figure . This factor
with the other factors necessary to go from high acid concentration
to the dilute limit gave a hopping time that agreed with the prior
more indirect measurements. The agreement suggests that for dilute
acid solutions concerted H-bond rearrangement occurring in water is
responsible for driving the proton defect to hop from one oxygen to
another.Figure displays
the results from temperature-dependent ion mobility measurement determinations
of the proton hopping times (red points).[23,29] The black squares are the slowest component of the spectral diffusion
(concerted H-bond rearrangement times) measured with 2D IR using the
OD stretch of HOD as the vibrational probe in pure H2O.[30] Within the relatively small experimental error,
the temperature-dependent mobility determined hopping times are the
same as the pure water H-bond rearrangement times.[30] Therefore, the structural fluctuations that cause the proton
to hop are the H-bond rearrangements that occur in the waterhydrogen
bonded network. In pure water, there are fast local fluctuations of
the H-bond network and on a longer time scale, 1.7 ps, the H-bonds
of the extended network of water molecules rearrange by the essentially
simultaneous switching of the H-bond connectivity among the water
molecules (concerted rearrangement). The data in Figure indicate that when a hydronium
is part of the extended H-bond water network, it does not have a substantial
effect on the switching time, and the process of concerted H-bond
rearrangement moves the proton defect from the initial oxygen atom
to a different oxygen; i.e., the proton has hopped.
Figure 8
Proton hopping times
determined from temperature-dependent ion
mobility measurements.[23,29] Slowest component of the spectral
diffusion (concerted H-bond rearrangement times) measured with 2D
IR using the OD stretch of HOD as the vibrational probe in pure H2O (black squares).[30]
Proton hopping times
determined from temperature-dependent ion
mobility measurements.[23,29] Slowest component of the spectral
diffusion (concerted H-bond rearrangement times) measured with 2D
IR using the OD stretch of HOD as the vibrational probe in pure H2O (black squares).[30]
Safety Statement
No unexpected or
unusually high safety
hazards were encountered.
Concluding
Remarks
We have studied proton hopping in concentrated HCl
solutions using
2D IR chemical exchange spectroscopy, spectral diffusion measurements,
and ab initio molecular dynamics simulations. To overcome the complexity
of the high HCl concentration water spectrum, we employed the CN stretch
of MeSCN as the vibrational probe. The CN stretch infrared absorption
spectrum can be decomposed into two components, the lower-frequency
and higher-frequency sides corresponding to water and hydronium species
H-bonded to the nitrogen of the CN, respectively. The 2D IR chemical
exchange experiments between the water and hydronium bound states
provided the time-dependent kinetics for the hydronium bound species
to convert to water and vice versa. This kinetics, as shown by AIMD
simulations, is dominated by proton transfer. Therefore, we directly
observed the proton hopping, watching a proton defect move from one
oxygen atom to another. The experiments gave rates for a hydronium
to become a water and for a water to become a hydronium as a function
of HCl concentration in concentrated acid solutions. Within experimental
error, the rate constants were independent of concentration at high
concentration.The AIMD simulations further showed that the
rate constant per
proton transfer pathway remains the same from 10 M concentrated HCl
solution to low concentration conditions. This enabled extrapolation
of the experimental data to the dilute limit. The AIMD simulations
provided necessary factors for the extrapolation, i.e., the fraction
of chemical exchange events that were caused by proton hopping (80%)
rather than replacement (see Figure ), and the increase in proton defect leaving pathways
from 1.7 at high HCl concentration with a bound vibrational probe
to 3 in the dilute limit with no probe bound. It was also argued that
the H-bond rearrangement necessary for a proton to move between oxygen
atoms in the dilute limit has the same time constant as the pure water
H-bond rearrangement (see Figure ). The time constant, which has been determined as
the slowest component of the 2D IR spectral diffusion decay, is slower
in the concentrated HCl solutions (see Figure ). Therefore, the hopping rate constant is
further increased by the ratio of these time constants (3.1/1.7).
With these factors taken into account, the chemical exchange measurements
yielded a proton hopping time in the dilute limit of 1.6 ps. This
time constant is the same as previously reported determinations using
NMR line shape[6] and proton mobility measurements
(1.6–1.8 ps).[23,24,29]The proposition that in the dilute limit the proton defect
moves
from one oxygen atom to another with a time constant determined by
concerted hydrogen bond rearrangement with the time constant (1.7
ps) that occurs in pure water was confirmed by experiments. Comparing
the temperature dependence of the proton hopping time from mobility
measurements to the concerted H-bond rearrangement time in pure water
determined by 2D IR measurements showed that they are identical.[23,29,30]In summary, direct measurements
of proton hopping with 2D IR chemical
exchange experiments and AIMD simulations yields the proton hopping
time in highly concentrated HCl solutions. These results were extrapolated
to the dilute limit, and the results explicated the driving mechanism
for proton hopping.
Authors: Jeffrey M Headrick; Eric G Diken; Richard S Walters; Nathan I Hammer; Richard A Christie; Jun Cui; Evgeniy M Myshakin; Michael A Duncan; Mark A Johnson; Kenneth D Jordan Journal: Science Date: 2005-06-17 Impact factor: 47.728
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