The structural heterogeneity of water at various interfaces can be revealed by time-resolved sum-frequency generation spectroscopy. The vibrational dynamics of the O-H stretch vibration of interfacial water can reflect structural variations. Specifically, the vibrational lifetime is typically found to increase with increasing frequency of the O-H stretch vibration, which can report on the hydrogen-bonding heterogeneity of water. We compare and contrast vibrational dynamics of water in contact with various surfaces, including vapor, biomolecules, and solid interfaces. The results reveal that variations in the vibrational lifetime with vibrational frequency are very typical, and can frequently be accounted for by the bulk-like heterogeneous response of interfacial water. Specific interfaces exist, however, for which the behavior is less straightforward. These insights into the heterogeneity of interfacial water thus obtained contribute to a better understanding of complex phenomena taking place at aqueous interfaces, such as photocatalytic reactions and protein folding.
The structural heterogeneity of water at various interfaces can be revealed by time-resolved sum-frequency generation spectroscopy. The vibrational dynamics of the O-H stretch vibration of interfacial water can reflect structural variations. Specifically, the vibrational lifetime is typically found to increase with increasing frequency of the O-H stretch vibration, which can report on the hydrogen-bonding heterogeneity of water. We compare and contrast vibrational dynamics of water in contact with various surfaces, including vapor, biomolecules, and solid interfaces. The results reveal that variations in the vibrational lifetime with vibrational frequency are very typical, and can frequently be accounted for by the bulk-like heterogeneous response of interfacial water. Specific interfaces exist, however, for which the behavior is less straightforward. These insights into the heterogeneity of interfacial water thus obtained contribute to a better understanding of complex phenomena taking place at aqueous interfaces, such as photocatalytic reactions and protein folding.
Understanding
the dynamic properties of aqueous interfaces is important not only
for a fundamental understanding of aqueous interfaces but also because
the water interface constitutes the site for a variety of important
chemical reactions. Examples for water interfaces as reactive environments
are abundant: ions at the air/water interface are important oxidants
at the marine boundary layer and provide a reaction site for heterogeneous
chemical reactions.[1,2] Chemical reactions “on
water” have been shown to exhibit drastic acceleration of reaction
rates.[3−5] The interface between water and surfactants impacts
a variety of processes, varying from corrosion and wetting to drug
delivery.[6] Moreover, water is involved
in biological processes, such as protein folding.[7] Understanding the fundamental dynamics of the water interface,
e.g., interfacial hydrogen-bond dynamics and energy relaxation pathways,
is the gateway to understanding the impact of interfacial water on
a broad range of biological, chemical, and physical processes.The unique properties of interfacial water arise from the termination
of the network of hydrogen bonds at the interface. Depending on the
nature of the interface—specifically, whether it is able to
accept and/or donate hydrogen bonds (i.e., hydrophilic) or not (i.e.,
hydrophobic)—the interfacial properties of water at the interface
will be substantially different from water in bulk. In order to determine
the structure of specifically interfacial water, a surface-selective
technique is required. Sum frequency generation (SFG) is a surface-selective
technique with the ability to investigate the structure of interfacial
water.[8−11] While SFG spectroscopy is a powerful tool to study the structure
of molecular systems, the spectral complexity of water is overwhelming.
Time-resolved SFG and multidimensional SFG spectroscopies are capable
of disentangling the structural anomalies of interfacial water, utilizing
vibrational dynamics as a probe. Recent advances in SFG spectroscopy
provide the means to experimentally determine the vibrational dynamics
of interfacial water in real time using time-resolved SFG spectroscopy.Decades of bulk studies have laid the foundation for the surface-selective
experiments. In bulk, the third-order nonlinear optical techniques
of pump–probe and 2D IR spectroscopies have been extensively
used to probe the structure and both structural and vibrational dynamics
of water.[12−17] Many of these studies have focused on the O–H stretch vibration
in the broad spectral region from 3100 to 3500 cm–1. The large width of the O–H stretching band is due to variations
in the hydrogen-bond strength for different O–H groups[19] but has also been attributed to inter- and intramolecular
coupling of O–H groups of water. Specifically, the two O–H
groups in a single H2O molecule generate the symmetric
and antisymmetric O–H stretch modes. Furthermore, the O–H
stretching mode exhibits a Fermi resonance resulting from a mixing
of the O–H stretch mode with the H–O–H bending
overtone mode. Since these occur in a single water molecule, this
Fermi resonance can also be considered as intramolecular coupling.[18] In addition, intermolecular coupling causes
a delocalization of O–H stretch quanta over several O–H
groups.[20,21] These intra/intermolecular couplings of
the O–H stretch modes critically affect the vibrational dynamics
of bulk water. The effects of this coupling on the vibrational dynamics
have been elucidated by comparing results for pure H2O
and isotopically diluted water, in which coupling between different
OH groups is reduced. For instance, in bulk water, following the excitation
of OH groups oriented preferentially along the polarization direction
of the exciting infrared field, the loss of the transient anisotropy
induced by the excitation pulse can be followed using polarized probe
pulses. The anisotropy decay depends strongly on the concentration
of OH groups in water: in pure water, the anisotropy decays under
180 fs,[14,15,22] while it takes
between 0.5 and 1.0 ps[23−26] for isotopically dilute water. In pure water, near-resonant energy
transfer between (slightly) differently oriented OH groups gives rise
to fast anisotropy decay, while anisotropy decay in isotopically dilute
water requires slower molecular reorientation.Differences exist
between bulk water and interfacial water. First, the surface contains
a lower density of water molecules and therefore reduces the number
of coupled modes, which is expected to change the rate and pathway
of energy flow. In addition, the interface may consist of free O–H
molecules that terminate the end of the hydrogen-bonding network.
The free O–H stretching mode is at 3700 cm–1, a higher frequency compared to the bonded O–H stretching
mode due to the unhindered O–H vibrational motion. Thus, interfacial
water deviates structurally from bulk water, potentially leading to
different vibrational dynamics as well. Moreover, changing the type
of interface—water in contact with a hydrophobic or hydrophilic
medium—may change the interactions and thereby alter the dynamics
of the interfacial water.In this Feature Article, we highlight
recent work aimed at obtaining structural details of water from time-resolved
SFG spectroscopy. The time scales of the vibrational dynamics can
be used to assess the nonuniformity of water; i.e., the frequency
dependence of the vibrational dynamics of bulk and interfacial water
can report on the structural differences or heterogeneity of water.
While time-resolved SFG spectroscopy experiments on interfacial water
can be used to determine the rate and mechanism of energy dissipation,
intra- and intermolecular coupling of the O–H vibrational modes,
and the rotational dynamics of the O–H vibrational modes in
real time, the scope of this article is centered on using vibrational
lifetimes as a probe for structural heterogeneity of water. A comprehensive
review on time-resolved SFG can be found in the literature[27] as well as a review on 2D vibrational spectroscopies
at surfaces.[28] Note that, additionally,
there exists a wealth of literature reporting studies using bulk-sensitive
techniques of the dynamics of confined, non-bulk-like water in reverse
micelles (see, e.g., refs (29−32)).
Methods
Principles of Time-Resolved
SFG
SFG spectroscopy is ideally suited to probe the structure
of water at interfaces. As an even-, second-order (χ(2)) nonlinear spectroscopy, SFG has as a selection rule that, in the
dipole approximation, the SFG signal cannot originate from the bulk
of centrosymmetric media: symmetry must be broken in order for SFG
to be generated, and symmetry breaking by definition occurs at an
interface. In the SFG experiments, a broadband infrared (IR) pulse,
typically 400–700 cm–1, and a narrowband
visible pulse, ranging from sub-1 cm–1 to 20 cm–1,[33] are overlapped spatially
and temporally at the surface of the sample. If the IR pulse is resonant
with vibrational modes of interfacial molecules, for example, the
hydrogen-bonded O–H stretch region in the case of water, the
generation of the sum frequency of the two incident fields (i.e.,
the SFG signal) will be resonantly enhanced. As such, the vibrational
response of molecules specifically at the interface can be obtained.
This vibrational response can then be used to understand the structure
of the molecules at the interface.Time-resolved SFG (TR-SFG)
spectroscopy is an extension of conventional SFG spectroscopy. Where
SFG is a second-order (χ(2)) nonlinear spectroscopy,
TR-SFG is also an even-order (fourth-order) spectroscopy,
therefore equally surface specific. Conventional and heterodyne-detected
SFG are both second-order spectroscopies, which provide the surface
analogue of bulk infrared or Raman spectroscopy through the second-order
nonlinear optical response. TR-SFG is a fourth-order spectroscopy,
which allows disentangling the different contributions to the second-order
nonlinear optical response, e.g., by the possibility to burn spectral
holes in the second-order line width. This provides information that
cannot be obtained from conventional SFG spectroscopy. The vibrational
energy lifetime T1, for instance, is a
quantity that cannot be inferred from the static SFG spectrum. TR-SFG
involves adding an additional IR pulse, known as the IR excitation
pulse, to a SFG experiment (Figure a). The IR excitation pulse excites molecular vibrations
(in a non-surface-specific manner) from the ground state to the first
vibrational excited state (Figure b), thereby producing population in the first vibrational
excited state. Subsequently, the SFG probe pair, an IR detection pulse
and a visible pulse, are used to interrogate changes in the vibrational
response of the surface molecules as a result of the IR excitation. Figure c illustrates the
difference between the signal with and without the excitation pulse.
Since the IR excitation pulse reduces the population in the ground
state, less ground state oscillators are available for generating
SFG, causing a decrease in the SFG signal. Simultaneously, SFG generated
from the excited state becomes detectable and may appear red-shifted
relative to the fundamental, due to the anharmonicity of the vibrational
potential. The spectrum of interest in a TR-SFG experiment is the
difference spectrum between the excitation pulse on and off or the
ratio between the spectra with and without the excitation pulse. The
resulting difference spectrum reflects the bleach of the fundamental
vibrational transition and the excited state SFG signal (Figure c). The time evolution
of the population can be followed by changing the time delay between
the IR excitation pulse and the visible/IR SFG probe. Therefore, the
IR pulses must be short in the time domain to provide sub-picosecond
time resolution. A typical scheme for TR-SFG, as shown in Figure a, reflects different
incident angles for each incoming beam in order to spatially separate
the desired SFG signal.
Figure 1
TR-SFG spectroscopy schematic: (a) the experimental
geometry, (b) the energy level diagram of the pump–probe process,
and (c) an example of the SFG signals with the excitation on, the
excitation off, along with the difference spectrum.
TR-SFG spectroscopy schematic: (a) the experimental
geometry, (b) the energy level diagram of the pump–probe process,
and (c) an example of the SFG signals with the excitation on, the
excitation off, along with the difference spectrum.
Homodyne vs Heterodyne
Detection
In analogy to conventional SFG spectroscopy, TR-SFG
experiments can be performed in two manners: using homodyne detection,
i.e., simply measuring the SFG intensity, or using phase-resolved,
also known as heterodyne, detection. On the one hand, the homodyne
detection TR-SFG experiments evaluate the change in intensity ΔI(t) of the SFG signal, i.e.,where
χexc(2) = χ0(2) + Δχ is the second-order nonlinear susceptibility with
the excitation pulse and χ0(2) is the second-order nonlinear susceptibility
without the excitation pulse. On the other hand, phase-resolved detection
measures the imaginary part of χ(2), Imχ(2), which provides information on the absolute orientation
of interfacial molecules. Phase-resolved detection, also known as
heterodyne detection, utilizes a local oscillator, and the interference
between the local oscillator and the SFG signal is detected, yielding
the phase information on the molecular vibration.[34] The phase-resolved signal Imχ(2) can be
compared to the infrared and Raman bulk spectra. The (time-resolved)
phase-resolved spectrum is obtained from the difference between the
excitation off and excitation on spectraIt is important
to note that the different detection techniques result in significantly
different spectra. The intensity of the spectral features varies on
the basis of the detection method. In order to understand the discrepancies
in intensity, we begin the discussion with the relationship between
the second-order nonlinear susceptibility and the number density byIf 10% of a population is excited from the ground state to the first
excited vibrational state, a fraction of 0.9 (out of 1) remains in
the ground state. The intensity is roughly equal for the bleach and
the excited state peaks in the difference spectra for the phase-resolved
detection regime. In contrast, for homodyne detection, the SFG intensity
is given by the square of χ(2). Thus, the 0–1
transition intensity is proportional to the square of the difference
between the population in the ground and first excited states: (N0 – N1)2 = (0.9 – 0.1)2 = 0.64, while the 1–2
transition intensity is significantly lower, being proportional to
the excited state population squared, corrected for the twice larger
transition dipole moment of the excited state: (2N1)2 = (2 × 0.1)2 = 0.04. As
such, the peaks corresponding to the 0–1 transition dominate
the homodyne spectrum. Beyond the intensity differences, one expects
the vibrational dynamics inferred from homodyne and phase-resolved
experiments to be very similar. Briefly, eq can be expanded towhere (Δχ(2)(t))2 is negligibly small compared
with the other terms. The homodyne signal can be compared to the phase-resolved
signal, where the χ(2) is separated into real and
imaginary components, as follows:Since the real and imaginary components are related
via the Kramer–Kronig relations, the time dependences of the
real and imaginary components are not independent. Therefore, the
extracted time components should roughly be the same between homodyne
and heterodyne detections. Details of the theoretical treatment of
both intensity and phase-resolved TR-SFG can be found in ref (35).TR-SFG experiments
can also be performed using multiple excitation frequencies, similar
to 2D IR and 2D NMR experiments. Combining the spectra from the different
excitation frequencies allows for the construction of a 2D SFG spectrum.
A wealth of knowledge can be extracted from a 2D SFG spectrum; the
additional dimension in the frequency axis can clarify ambiguities
in linear spectra and provide further details on the structure and
dynamics of the system. A brief overview of 2D SFG spectroscopy, illustrated
in Figure a and b,
is given below to facilitate the understanding of the data and to
elucidate the differences in 2D SFG spectra reported in the literature.
2D SFG was first reported by Bredenbeck et al.,[36] and subsequently first applied to the study of aqueous
surfaces by Zhang et al.[37,38] Further developments
to TR-SFG, including pulse shaping technologies[39,40] and non-collinear setups,[41] have demonstrated
increasingly widespread applications and improvements in the signal-to-noise.
Figure 2
Schematics
of (a) an intensity, or homodyne-detected, 2D SFG spectrum and (b)
a phase-resolved, or heterodyne-detected, 2D SFG spectrum. (c) Model
of energy relaxation with a four-level system.
Schematics
of (a) an intensity, or homodyne-detected, 2D SFG spectrum and (b)
a phase-resolved, or heterodyne-detected, 2D SFG spectrum. (c) Model
of energy relaxation with a four-level system.The 2D spectrum in Figure a is representative of a homodyne-detected 2D spectrum
and has two types of peaks: peaks that lie along the diagonal (peaks
1 and 3) and peaks (2 and 2) that are not on the diagonal, known as
cross-peaks, or off-diagonal peaks.[42,43] The peaks
along the diagonal (1 and 3) originate from the response of the system
at the same frequency where the excitation has occurred: exciting
and probing with the same frequency. Cross-peaks (2) result from a
response at frequencies different from the excitation frequency. Cross-peaks
originate from coupled oscillators—exciting one affects the
other—and can provide structural details on the system or provide
insight into energy transfer and/or anharmonic coupling between different
vibrational modes.The 2D spectrum in Figure b, a cartoon of a heterodyne-detected 2D
spectrum, appears different from the 2D spectrum in Figure a. The blue peaks correspond
to a combination of a bleach of the fundamental vibrational state
and stimulated emission, and the red peaks originate from an excited
state absorption, i.e., 1–2 transition. As mentioned previously,
while the intensity of the 1–2 transition peak is less intense
for the homodyne detection compared to the heterodyne detection, it
is approximately equal in intensity for the heterodyne signal. Therefore,
the excited state peaks, i.e., the red peaks in Figure b, are visible and have the same intensity
as the peaks for the 0–1 transition, while absent in Figure a. Due to anharmonicity,
the 1–2 transition frequency differs by an amount Δ from
the 0–1 transition frequency, resulting in peak pairs with
one negative peak (blue) and one positive (red) peak.[42] The excited-state response would be located at ω1–Δ along the detection (SFG) frequency axis.
Vibrational Dynamics
2D SFG spectra recorded
as a function of time between excitation and probe pulses give access
to the vibrational dynamics of aqueous interfaces. Upon changing the
time delay between the excitation IR and probe IR pulses, vibrational
dynamics on sub-picosecond to hundreds of picosecond time scales can
be investigated. The waiting time (or population time) is commonly
displayed in 2D spectra, as illustrated in Figure a and b. Collecting spectra at multiple time
delays is equivalent to TR-SFG experiments. The aim of the time-resolved
experiments is to determine the dynamics of the system, such as energy
transfer or energy dissipation as well as the structural heterogeneity
of water.The time-resolved measurements have several varieties;
the simplest time-resolved experiment is a one-color pump–probe
experiment. In this measurement, the pump and probe pulses are at
the same frequency, which is equivalent to measuring the time evolution
of peak 1 (Figure a and b). The process of energy relaxation from the excited state
to the ground state is measured in such experiments, for which the
signal, however, could also contain contributions from spectral diffusion
(see below). Figure c is a typical model used to describe the energy relaxation of the
O–H stretch vibration of hydrogen-bonded water, where the molecular
vibration relaxes to an intermediate state, followed by relaxation
from the intermediate state to a heated ground state. This heated
ground state is characterized by the steady-state response of the
system at slightly elevated temperatures (normally 3–5 K),
as the result of dissipation of the excess vibrational energy.[15,44] Determining the vibrational modes that form the intermediate state
for energy relaxation is complicated due to the strong coupling in
water. Experimental and theoretical studies show that the dominant
energy relaxation pathway is from the hydrogen-bonded O–H stretching
modes to the O–H bending vibrations of the same molecule, i.e.,
intramolecular vibrational relaxation (IVR).[45−47] The overtone
of the bending vibrational mode is similar in energy to the O–H
stretch vibration, which makes the Fermi resonance a viable relaxation
pathway. From the bending mode overtone, the relaxation continues
to a broad distribution of delocalized low-frequency modes.[48] Vibrational conical intersections are expected
to play a role in the vibrational relaxation dynamics due to the coupling
between the O–H stretch vibration and the low frequency hydrogen-bonding
modes.[49] The one-color pump–probe
experiment reports on the vibrational relaxation time(s) of the excited
state. Differences in the T1 lifetimes
with respect to excitation frequency can report on the heterogeneity
of the O–H groups in the bulk or at the surface.However,
not only could vibrational relaxation cause the disappearance of the
bleach signal, but reorientation can also contribute. Thus, the bleach
relaxation, with time scale τ, could have contributions from
the vibrational relaxation, molecular reorientation dynamics, and
spectral diffusion. The reorientation dynamics can in principle be
obtained using polarization controlled pump–probe experiments.[50,51] The excitation pulse excites molecules aligned along the polarization
axis of the excitation pulse, either s- or p-polarization. The molecules are subsequently probed with
polarized light, either parallel or perpendicular to the excitation
pulse. The polarized pump excitation produces an anisotropic distribution
of excited molecules. For bulk water, the decay of this pump-induced
anisotropy can be obtained from polarization-resolved pump–probe
measurements.[52] This experimental approach,
as well as calculations of reorientation dynamics in the bulk, relies
on the fact that the solutions are isotropic, where the molecules
are oriented randomly. At the surface, the interfacial molecules are
not in an isotropic environment. As a result, the orientation of interfacial
water molecules is anisotropic under steady state already, and extracting
the reorientational dynamics from the additional anisotropy induced
by the excitation is substantially more complicated for the interface
than the bulk.[53] The mechanism for reorientation
in the bulk consists of three steps: a hydrogen bond is broken, the
water molecule rotates, and a new hydrogen bond is formed.[54] The reorientation dynamics of HDO in bulk D2O occurs on an effective time scale of ∼2.5 ps.[55,56] For interfacial water, reorientation dynamics of the free O–H
stretch, which is the part of the water molecules that terminate the
hydrogen-bond network, has been shown to reorient 3 times faster than
the bulk.[50,57]It should be noted that most of the
literature assigns the bleach relaxation directly to vibrational relaxation.[58−60] This could be due to the fact that the reorientation dynamics are
fast and the bleach relaxation is dominated by the vibrational relaxation.
However, in order to remain consistent and clear in this Feature Article,
we will refer to the bleach relaxation (τ), rather than vibrational
relaxation (T1), for all experiments where
reorientation and/or spectral diffusion have not been taken into account.Indeed, the bleach relaxation also contains contributions from
spectral diffusion. Spectral diffusion is the time variance in the
vibrational frequency of a molecular oscillator and can be used to
quantify the time-dependent variations in the hydrogen-bond strength
and near-resonant vibrational energy transfer in water. Energy can
flow between differently hydrogen-bonded O–H stretch modes
that constitute the broad O–H peak, as seen in bulk studies.[61] The inhomogeneous broadening of the peaks in
a 2D spectrum can be used to report on the heterogeneity of the O–H
groups. The slope of a peak in a 2D spectrum, illustrated as the white
line in peak 3 from Figure a, reveals the structural heterogeneity of the O–H
modes. When the ensemble is homogeneous, i.e., when all of the O–H
groups are indistinguishable, the oscillators respond similarly regardless
of the excitation frequency, and as a result, the slope of the on-diagonal
response in the 2-D spectrum is zero. For a completely inhomogeneous
system, i.e., when all O–H groups have a slightly different
vibrational frequency, the infrared absorption line is inhomogeneously
broadened, and only those O–H groups that are resonant with
the excitation pulse will respond to that excitation. In this case,
the response of the O–H groups in the two-dimensional spectrum
will lie along the diagonal; i.e., the slope equals 1. The effects
of spectral diffusion can contribute to the bleach relaxation lifetimes
in TR-SFG experiments, and often, it is difficult to separate the
effects of spectral diffusion from intramolecular vibrational relaxation
and reorientation dynamics, especially when the full spectral and
time-domain response are not completely recorded.However, even
with complete spectrally and time-resolved measurements, it can remain
challenging to unravel the details of the dynamics, as a result of
the intermixing of the different relaxation pathways. One way to simplify
the vibrational relaxation pathways is to study isotopically diluted
water. Isotopic dilution of water can exclude the contribution of
the energy splitting of the two identical O–H groups, the Fermi
resonance, and the intermolecular coupling, differentiating the spectra
of the O–H stretch modes at the water–air and isotopically
diluted water–air interface.[8,62,63] This allows us to determine if the two peaks in the
hydrogen-bonded water region are from two different types of water
or two coupled vibrational modes.[11,64] Transitioning
from H2O to HDO can also be used to differentiate between
relaxation pathways. An HDO molecule does not have the same intramolecular
coupling inherent to a H2O molecule due to a lack of degeneracy
between the O–H and O–D stretching modes with the bending
overtone. Thus, specific IVR pathways are eliminated from the relaxation
scheme and the relaxation time of other processes, such as reorientation,
can be measured.It should be noted that differences in the
vibrational dynamics of bulk H2O and D2O have
been reported, beyond the anticipated longer vibrational lifetimes
for heavy water. 2D IR spectroscopy results suggest the molecular
vibrations in D2O are more localized than those in H2O.[47] A recent study discovered
that nuclear quantum effects influence the reorientation and hydrogen-bond
dynamics for H2O but are negligible in D2O.[65] The differences in the vibrational dynamics
of D2O and H2O should be accounted for in the
interpretation of time-resolved experiments.A summary of the
three main physical phenomena accessible using time-resolved SFG is
listed in Table .
While each experiment explores important observations and chemical
dynamics, the focus of this Feature Article is on the structural heterogeneity
of interfacial water. Thus, we concentrate on IVR and the change of
vibrational relaxation lifetimes with respect to the excitation frequency.
As mentioned previously, the T1 lifetimes
are convoluted with other relaxation dynamics, and thus, we discuss
the bleach decay lifetime. The conversation begins by exploring the
water–air interface (section ). Subsequently, we explore inhomogeneous
water structures at various interfaces, including biologically relevant
surfaces (section ) and solid surfaces (section ).
Table 1
List of the TR-SFG Experiments Discussed
Here, the Data Obtained, and the Overall Significance of the Observations
time-dependent 2-D response reflecting frequency–frequency correlation function
structure fluctuations/structural reorganization
intra/intermolecular coupling
Förster energy transfer
Discussion
Water/Air Interface
The static IR absorption spectrum
of bulk water is composed of a broad band. Likewise, the static SFG
spectrum at the water–air interface contains a comparably broad
band in addition to a sharp peak at 3700 cm–1.[66,67] For the Imχ(2) spectra, the sign of the signal,
negative or positive, provides details about the absolute orientation
of the interfacial water molecules. A negative peak, centered at 3450
cm–1, reveals that the hydrogen atoms of the H-bonded
water O–H groups are pointing toward the bulk (down). Conversely,
a positive peak, centered at 3700 cm–1, corresponds
to free O–H groups oriented with hydrogen atoms directed toward
the surface (up). It should be noted that a positive peak at lower
frequencies was revealed in many phase-resolved SFG spectra.[8,62,66,68] However, a recent study determined there is no positive peak at
or below 3100 cm–1 and an apparent resonance appeared
due to phase inaccuracy in measurements.[67,69] This is also confirmed by ab initio MD simulations[70−72] as well as force field MD simulations.[73,74] Regardless, the static phase-resolved SFG spectra of the water/air
interface already reveal different structures of interfacial water
when comparing the 3450 and 3700 cm–1 vibrational
modes.The heterodyne-detected 2D SFG (HD-2D-SFG) response of
the surface of pure H2O is depicted in Figure . With HD-2D-SFG, two peaks
appear in the 2-D spectrum, one for the 0–1 transition and
a red-shifted 1–2 transition, as illustrated in Figure b. The nodal line (thick black
line in Figure ) is
the line between the 0–1 peak and the 1–2 peak. The
temporal evolution of the tilt of the nodal line provides a measurement
for spectral diffusion.[42] On the basis
of nodal line analysis, the HD-2D-SFG spectra indicated there are
two different spectral diffusion rates for water molecules at the
water/air interface: one below 3400 cm–1 and one
above 3400 cm–1 in the spectral region from 3200
to 3500 cm–1.[75] Thus,
there are at least two subensembles of water molecules in the hydrogen-bonded
region. This heterogeneity cannot be captured in the phase-resolved
static SFG measurements.
Figure 3
HD-2D-SFG experimental spectrum of the water/air
interface. The thick black line represents the nodal line, and the
green line represents a linear fit to the nodal line slope for excitation
frequencies in the spectral range 3200–3400 cm–1. Reprinted with permission from ref (75). Copyright 2014 John Wiley and Sons.
HD-2D-SFG experimental spectrum of the water/air
interface. The thick black line represents the nodal line, and the
green line represents a linear fit to the nodal line slope for excitation
frequencies in the spectral range 3200–3400 cm–1. Reprinted with permission from ref (75). Copyright 2014 John Wiley and Sons.The next question that presents itself is how heterogeneous
are the hydrogen bonds of interfacial water molecules. This question
can be answered by extracting vibrational lifetimes from time-resolved
experiments due to the correlation between vibrational lifetime and
hydrogen-bond strength.[76] Discrepancies
exist in the literature as to whether or not the lifetime of the O–H
stretch is frequency-dependent. Some studies at the water/air interface
revealed no frequency dependence to the IVR in the spectral region
from 3100 to 3500 cm–1.[77−79] However, other
studies illustrated the relaxation time of bulk water and interfacial
water is dependent on frequency. The discrepancies have been attributed
in part due to the effects from different excitation pulse powers.[79] Furthermore, the extent of the blue shift in
the spectrum depended upon the excitation frequency.We have
recently reported results of experiments to determine the vibrational
lifetimes of bulk and interfacial water measured with ultrafast vibrational
spectroscopic techniques. The data are reproduced in Figure a and b.[66] For the bulk experiments, the excitation pulses ranged
from 3200 to 3700 cm–1 and the frequency of the
probe pulse was centered at the 1–2 transition at 2900 cm–1. For the data shown in Figure a, the heat has been subtracted from the
data and single exponential fits were applied to extract the τ1 lifetimes. A similar approach was applied for the TR-SFG
experiments. The pump and probe frequencies were specifically chosen
to eliminate heat contributions, allowing only the bleach decay to
be observed with no effect from a heated ground state. A four-level
model was used to fit the data (see Figure c). The thermalization equilibrium time,
τeq, was fixed at 550 fs.
Figure 4
Time evolution plots
of (a) infrared pump–probe experiment for bulk water with different
excitation frequencies and detected at 2900 cm–1 and (b) SFG for the air/water interface with different excitation
and probe frequencies. (c) Experimental relaxation times of bulk (blue)
and interfacial water (red) with model calculations accounting for
spectral diffusion from energy transfer, summarized in Figure . The dashed and dotted lines
are for, respectively, relaxation rates calculated with intermolecular
energy transfer rates amounting to 1/2 and 1/3 of bulk rates, to account for the reduced water
density at the interface. Reprinted with permission from ref (66). Copyright 2015 Nature
Publishing Group.
Time evolution plots
of (a) infrared pump–probe experiment for bulk water with different
excitation frequencies and detected at 2900 cm–1 and (b) SFG for the air/water interface with different excitation
and probe frequencies. (c) Experimental relaxation times of bulk (blue)
and interfacial water (red) with model calculations accounting for
spectral diffusion from energy transfer, summarized in Figure . The dashed and dotted lines
are for, respectively, relaxation rates calculated with intermolecular
energy transfer rates amounting to 1/2 and 1/3 of bulk rates, to account for the reduced water
density at the interface. Reprinted with permission from ref (66). Copyright 2015 Nature
Publishing Group.
Figure 5
Schematic
of vibrational energy relaxation. Near-resonant vibrational Förster
energy transfer between different O–H (or in this case O–D)
groups with slightly different frequencies gives rise to spectral
diffusion within the inhomogeneously broadened absorption band. The
rate of energy transfer is given by the spectral overlap (pink areas).
The bend overtone spectrum is shown schematically in purple below.
For OD groups that overlap spectrally with the bend overtone (purple
areas), coupling to that bend overtone allows for vibrational relaxation
to occur. Reprinted with permission from ref (81). Copyright 2016 American
Chemical Society.
The inferred bulk and
interfacial water bleach decay time constants are shown in Figure c. The results illustrate
a variation of vibrational decay time with the excitation frequency
over the spectral range from 3100 to 3700 cm–1 for
both bulk and interfacial water. The bulk vibrational lifetimes increase
from 250 to 550 fs with excitation frequencies increasing from 3300
to 3700 cm–1. The change in vibrational lifetime
with respect to excitation frequency is even more pronounced at the
interface across the same 3300–3700 cm–1 frequency
range, varying from 350 to 750 fs for hydrogen-bonded O–H groups. Figure c shows a strong
frequency dependence of the bleach relaxation and thus indicates water
in both the bulk and at the interface is heterogeneous.Figure c clearly illustrates
a trend of increasing vibrational decay time with increasing frequency,
but the question is why τ varies. The free O–H vibration
differs from the hydrogen-bonded O–H groups, since the rate
of energy dissipation is correlated to the number of coordinated water
molecules.[46] Fewer water molecules in the
inner hydration shell lead to slower energy relaxation. Thus, a free
O–H vibration has slower energy relaxation than an O–H
oscillator in the hydrogen-bond network. Within the broad hydrogen-bonded
O–H region, faster vibrational decay at lower frequencies has
been attributed to the increasing proximity, with decreasing frequency,
to the transition frequency of the bend overtone. In H2O, the bend overtone frequency is around 3240 cm–1.[80] The O–H stretch vibrations
transfer their excess energy to the bend mode, as illustrated in Figure . When the O–H modes overlap with the bend overtone,
there is direct energy transfer. The other oscillators (Lorentzians
in pink) transfer energy via Förster transfer or change in
the hydrogen-bond strength. As such, the efficiency of the energy
transfer from the O–H stretch mode to the HOH bending mode
depends on the integral overlap, illustrated in the shaded pink regions.
Therefore, oscillators with frequencies that overlap more with the
bend overtone are expected to exhibit faster vibrational energy relaxation.Schematic
of vibrational energy relaxation. Near-resonant vibrational Förster
energy transfer between different O–H (or in this case O–D)
groups with slightly different frequencies gives rise to spectral
diffusion within the inhomogeneously broadened absorption band. The
rate of energy transfer is given by the spectral overlap (pink areas).
The bend overtone spectrum is shown schematically in purple below.
For OD groups that overlap spectrally with the bend overtone (purple
areas), coupling to that bend overtone allows for vibrational relaxation
to occur. Reprinted with permission from ref (81). Copyright 2016 American
Chemical Society.
Water–Biosurface
One might imagine that the water structure at the interface could
change if molecules are absorbed on water. Biomolecules add an additional
level of complexity to the water–air interface; the measured
interface is water in contact with lipids or surfactants at the air
interface, as overviewed below. One reason for the increased complexity
of these systems is the addition of charged molecules to the surface.
The surface charge can induce an electric field, which not only aligns
water but also gives rise to a contribution to the SFG intensity from
a possible χ(3) contribution.[82,83] The additional signal source can affect the effective probing depth.Using phase-resolved SFG measurements, it can readily be shown
that the water in contact with positively and negatively charged lipids/surfactants
has opposite net orientation; i.e., the spectral features have opposite
signs (Figure ). The
static phase-resolved spectra of positively charged lipids in aqueous
solution reveal negative spectral features in the region from 3100
to 3500 cm–1, indicating the O–H groups of
the water molecules are on average aligned with their hydrogens pointing
toward the bulk.[84,85] On the basis of the phase-resolved
spectra, water in contact with positively charged lipids at the air
interface aligns in a similar fashion as water at the water–air
interface for the hydrogen-bonded O–H groups. The water at
the negatively charged biomolecule surface is oriented with the hydrogens
of the O–H modes pointing on average toward the air (up).[86]
Figure 6
Phase-resolved SFG spectra in the O–H stretch region
for positively charged DPTAP (blue) and negatively charged DMPS (red)
lipids/surfactant interfaces. Adapted with permission from ref (84). Copyright 2011 American
Chemical Society.
Phase-resolved SFG spectra in the O–H stretch region
for positively charged DPTAP (blue) and negatively charged DMPS (red)
lipids/surfactant interfaces. Adapted with permission from ref (84). Copyright 2011 American
Chemical Society.A fundamental question
is whether such an ordered structure of water near positively and
negatively charged surfaces affects the heterogeneity of the interfacial
water. In order to investigate the structural heterogeneity of the
water in contact with differently charged biosurfaces, we review the
TR-SFG results.
Positively Charged Lipid/Surfactant
Interface
Positively charged lipids/surfactant, such as DPTAP
and CTAB, have been studied with homodyne- and heterodyne-detected
TR-SFG spectroscopies.[34,81,86−88] Homodyne-detected TR-SFG measurements for isotopically
diluted water as well as the neat D2O in contact with DPTAP
were completed, and the τ1 values were measured.
These are plotted with respect to the infrared frequency for three
DPTAP samples with different isotopic dilutions of HOD in H2O, illustrated in Figure . The bleach recovery times for all samples vary with respect
to frequency, which again demonstrates the heterogeneity of interfacial
water in contact with a positively charged lipid.
Figure 7
Plot of the τ1 decay versus excitation frequency of DPTAP in different isotopic
dilutions of water. The results were modeled (solid lines), with the
model depicted in Figure , with energy transfer rates given by the concentration of
O–D groups. Adapted with permission from ref (81). Copyright 2016 American
Chemical Society.
Plot of the τ1 decay versus excitation frequency of DPTAP in different isotopic
dilutions of water. The results were modeled (solid lines), with the
model depicted in Figure , with energy transfer rates given by the concentration of
O–D groups. Adapted with permission from ref (81). Copyright 2016 American
Chemical Society.This time-resolved data
for water in contact with DPTAP could be described with a four-level
system (Figure c)
in a similar manner to the time-resolved data at the water/air interface.[66] Since D2O was used in this study,
the relaxation time scale from the intermediate state to the heated
ground state, τeq, was set to 700 fs,[89] instead of 550 fs used for pure H2O. The frequency-dependent lifetimes were modeled with a kinetic
model. The model (depicted in Figure ) incorporates Förster energy transfer and vibrational
relaxation through the bend overtone.[66] The results of the kinetic model are represented by the solid lines
in Figure and also
illustrate the frequency dependence of the bleach decay lifetimes.
Isotopic dilution experiments were also performed to test the robustness
of the model. Isotopically diluted water changes the static SFG spectra,
since the overlap of the bending overtone and OH stretch mode is missing
and the intra/intermolecular couplings are absent. This missing overlap
of the bending overtone and OH stretch mode critically affects the
τ1 values, where the vibrational relaxation times
are elongated for isotopic diluted systems.In this study, a
change in the vibrational relaxation decay with frequency, i.e., structural
heterogeneity, was observed. Since the lifetime versus frequency can
be modeled with the same model as the water–air interface,
the results imply that water at a positively charged lipid monolayer/air
interface behaves in a similar manner to bulk water.
Negatively Charged Lipid/Surfactant Interfaces
We have
seen that positively charged biointerfaces behave in a manner similar
to bulk water based on TR-SFG experiments, but what about negatively
charged lipid/surfactants? The phase-resolved spectra for positive
and negative biomolecules reveal different net orientations of the
water molecules, yet the spectra do not provide information on the
heterogeneity within each system. How does the heterogeneity of water
in contact with a positive biomolecule differ from water in contact
with a negative biomolecule?The answer can be obtained from
2D SFG spectra such as those shown in Figure . There is one elongated feature along the
diagonal in the 2D SFG spectrum of water at the DPTAP/air interface
(Figure a). For water
at the SDS/air interface, there are two distinct peaks, indicating
two subsets of O–H groups (Figure b). Additionally, cross-peaks are not observed
for the positive lipids or the water/air interface yet clearly visible
for the negative surfactant. The cross-peaks reveal that there are
two coupled ensembles of water.
Figure 8
2D SFG spectra in the O–D stretch
spectral region of water underneath monolayers of (a) positively charged
DPTAP and (b) negatively charged SDS in D2O at 0 fs time
delay. The 2D SFG spectrum of DPTAP reveals one elongated feature
along the diagonal, whereas the 2D SFG spectrum of SFG has two separate
peaks along the diagonal. Adapted with permission from refs (81) and (89), respectively. Copyright
2016 and 2015 American Chemical Society.
2D SFG spectra in the O–D stretch
spectral region of water underneath monolayers of (a) positively charged
DPTAP and (b) negatively charged SDS in D2O at 0 fs time
delay. The 2D SFG spectrum of DPTAP reveals one elongated feature
along the diagonal, whereas the 2D SFG spectrum of SFG has two separate
peaks along the diagonal. Adapted with permission from refs (81) and (89), respectively. Copyright
2016 and 2015 American Chemical Society.The two types of water at the SDS/water interface were probed
with excitation pulses centered at 2380 and 2510 cm–1, and the time evolution plots are shown in Figure . The traces cannot be fit with the four-level
model described previously, since there are two types of water. A
slightly more complex model, shown in Figure d, is used to incorporate two different ground
states and two different vibrational excited states. Excess vibrational
energy can be transferred between the two vibrational excited states,
ν = 1 and ν = 1*. The authors concluded that energy transfer
with time scales τdown from the higher frequency
O–D stretch mode to the lower frequency O–D stretch
mode is a major relaxation pathway for the higher frequency mode.
In contrast, energy transfer from the lower frequency O–D stretch
mode to the higher frequency mode is less favorable, in accordance
with Boltzmann’s law. Furthermore, converting the vibrational
quanta delocalized over several chromophores to a localized mode can
only occur at the cost of an entropic penalty.[89] The vibrationally excited O–D group relaxes through
an intermediate state to a hot ground state, similar to the four-level
model. On the basis of the fits, the time scales of the bleach relaxation
were found to vary with excitation frequency. Again, the frequency-dependent
variations in the vibrational relaxation dynamics expose the structural
heterogeneity of water in contact with a negatively charged surfactant.
Figure 9
SDS/water
interface showing different vibrational relaxation dynamics when the
excitation pulse is centered at (a) 2380 cm–1 and
(b) 2510 cm–1. The spectra shown in part c are obtained
from heat-correcting and normalizing the spectra from part b, with
excitation pulses centered at 2510 cm–1. The experiments
were performed in 100% D2O. Lines in panels a–c
are the results of model calculations using the model shown in part
d, which shows the energy levels used to describe the SDS/water interface.
Reprinted with permission from ref (89). Copyright 2015 American Chemical Society.
SDS/water
interface showing different vibrational relaxation dynamics when the
excitation pulse is centered at (a) 2380 cm–1 and
(b) 2510 cm–1. The spectra shown in part c are obtained
from heat-correcting and normalizing the spectra from part b, with
excitation pulses centered at 2510 cm–1. The experiments
were performed in 100% D2O. Lines in panels a–c
are the results of model calculations using the model shown in part
d, which shows the energy levels used to describe the SDS/water interface.
Reprinted with permission from ref (89). Copyright 2015 American Chemical Society.In conclusion, the dynamics of
interfacial water at a positive lipid/air interface resembles the
dynamics of bulk-like water and water at the water/air interface,
while there are two types of water in contact with negative surfactant
molecules, as evident from the 2D SFG and TR-SFG results. The TR-SFG
results showed both positively and negatively charged surfactant-covered
interfaces exhibit structural heterogeneity of the water molecules
on the basis of the frequency dependency of the bleach lifetimes.Having established the molecular level insight into the interfacial
dynamics near positively/negatively charged lipids and surfactants,
current studies focus on more complex biointerfaces. One focus is
on the water dynamics near the zwitterionic lipid/water interfaces;
the structure and dynamics of water near a zwitterionic lipid[90−93] can be similar to the structure and dynamics of water near a mixed
positively/negatively charged lipid monolayer.[44] This can be accessed using 2D SFG and TR-SFG spectroscopy.[94,95] These results help shed light on the structure of water in contact
with biosurfaces containing both cationic and anionic groups, a complex
system that is a major component of biological membranes.
Water–Silica
The dynamics of water
in contact with mineral surfaces plays a role in a broad range of
processes, including chemical weathering and radioactive nuclear waste
storage.[96] Thus, elucidating the dynamics
of water in contact with mineral substrates, in particular, metal
oxides, is essential and has also been probed with TR-SFG spectroscopy.
The inhomogeneity of water and the effects of surface charge on the
dynamics of interfacial water were studied with aqueous solutions
in contact with solid substrates. In fact, McGuire and Shen[60] completed the very first femtosecond TR-SFG
experiments on the water–silica interface. The system studied
was silica in contact with H2O at pH 5.7. The data was
fit to a biexponential decay, with 300 fs for the bleach relaxation
and 700 fs for the thermalization time constant. There was no frequency
dependence observed for τ1 when excited with 3200
and 3400 cm–1 excitation pulses.Further experiments,
by the Borguet group, explored the vibrational dynamics of the silica/water
interface at different pHs for pure water and isotopically diluted
water.[58,59] For the pure water experiments,[58] the time evolution plots were fit to a four-level
model, as described in Figure c. For the isotopically diluted experiments,[59] the time-resolved evolution plots were fit to single exponentials
to extract the bleach lifetimes. Isotopically diluted water time-resolved
experiments have shown that the temperature increase following vibrational
relaxation is negligible and, thus, a three-level model suffices.[24,97] The lower pH solutions revealed slower dynamics than the higher
pH samples, as illustrated in Figure . Moreover, the vibrational relaxation time scales
drastically differ with excitation frequency for both negative (pH
12) and neutral (pH 2) silica surfaces. The dashed lines are from
a theoretical model that correlates the intramolecular vibrational
relaxation with the hydrogen-bond strength of O–H stretch vibration,
i.e., the O–H stretch frequency.[76] This model was first introduced to describe frequency-dependent
vibrational lifetimes obtained from SFG experiments on water underneath
lipid monolayers.[98] The experimental and
theoretical data are in good agreement and illustrate the inhomogeneity
of water at the silica–water interface, seen for both pH 2
and pH 12. Similar to the water–air interface, the bleach relaxation
lifetimes increase as a function of excitation frequency.
Figure 10
Vibrational
dynamics of the O–H stretch mode at the HDO/silica interface
at pH 12 (green squares) and pH 2 (pink triangles). The dashed lines
represent the fit based on a theoretical model. The vibrational relaxation
lifetimes in the plot do not take into account reorientation or spectral
diffusion and, thus, are referred to as bleach relaxation lifetimes
in this review. Reprinted with permission from ref (58). Copyright 2010 American
Chemical Society.
Vibrational
dynamics of the O–H stretch mode at the HDO/silica interface
at pH 12 (green squares) and pH 2 (pink triangles). The dashed lines
represent the fit based on a theoretical model. The vibrational relaxation
lifetimes in the plot do not take into account reorientation or spectral
diffusion and, thus, are referred to as bleach relaxation lifetimes
in this review. Reprinted with permission from ref (58). Copyright 2010 American
Chemical Society.
Conclusion
and Future Directions
TR-SFG spectroscopy provides a means
to measure the vibrational dynamics of aqueous interfaces. As highlighted
here, the obtained bleach relaxation lifetimes can serve as a probe
for structural heterogeneity of interfacial water. The newly developed
tools that have enabled these measurements have so far been applied
to reveal the heterogeneity of water at relatively simple interfaces,
yet there is no fundamental impediment to studying water at more complex
interfaces that are relevant for important technologies. In many of
these technologies, the same questions appear relevant: How is water
arranged at extended surfaces? What is the role of surface charge
on that arrangement? How, and to what extent, do counterions screen
that charge? These are central questions in membrane biophysics, electrochemistry,
and electrocatalysis, and are equally relevant for water at mineral
surfaces in atmospheric systems as well as water at the surface of
photocatalysts. While many continuum models exist to describe water
at (charged) interfaces, in which water is represented as a dielectric
continuum,[99] insights into the molecular-level
details of the water arrangement are crucial to eventually predict
reactivity (electrochemistry, electrocatalysis, atmospheric processes)
and transport (biomembranes, lining fluids) at, and across, the interface,
respectively. The potential of TR-SFG spectroscopy is nicely illustrated
by a recent study of the partially hydrated electrons at the air/water
and air/indole solution interface utilizing TR-SFG spectroscopy.[100] The
samples were excited with UV-excitation and probed with TR-SFG spectroscopy
to understand the structure of the surrounding water molecules and
“follow” the dynamics of the partially hydrated electron.
Further understanding of hydrated electrons can provide insight into
electron-driven processes on water surfaces. In the same way that
TR-infrared spectroscopy on bulk aqueous systems has led to breakthroughs
in our understanding of those systems,[52,101,102] TR-SFG spectroscopy on aqueous surfaces is expected
to lead to breakthroughs in our understanding of interfacial water.
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