The unknown influence of inelastic and elastic scattering of slow electrons in water has made it difficult to clarify the role of the solvated electron in radiation chemistry and biology. We combine accurate scattering simulations with experimental photoemission spectroscopy of the hydrated electron in a liquid water microjet, with the aim of resolving ambiguities regarding the influence of electron scattering on binding energy spectra, photoelectron angular distributions, and probing depths. The scattering parameters used in the simulations are retrieved from independent photoemission experiments of water droplets. For the ground-state hydrated electron, we report genuine values devoid of scattering contributions for the vertical binding energy and the anisotropy parameter of 3.7 ± 0.1 eV and 0.6 ± 0.2, respectively. Our probing depths suggest that even vacuum ultraviolet probing is not particularly surface-selective. Our work demonstrates the importance of quantitative scattering simulations for a detailed analysis of key properties of the hydrated electron.
- solvated electron
- electron scattering
- liquid water
- photoelectron spectroscopy
- radiation chemistry
The broad attention the hydrated electron eaq− has attracted over many decades is attributed to its important role in a wide range of fields, including radiation damage in aqueous systems (1–4), and to the fact that even though it is one of the simplest quantum solutes, several of its properties remain controversial. Substantial progress has been made in recent years regarding its structural and electronic properties (5–21) and the excited-state relaxation dynamics over a broad time window, ranging from femtoseconds to beyond picoseconds (9, 10, 13, 22–32). The most controversial issues concern the ground-state structure (cavity-forming versus non–cavity-forming), the relaxation mechanisms from electronically excited states (adiabatic versus nonadiabatic), the existence of a long-lived surface electron, accurate values for electron binding energies (eBE), and the influence of electron scattering. Although evidence has been provided in favor of an s-like ground-state wave function (11, 15, 17) [presumably in a quasi-spherical solvent cavity (11, 15)] and for a nonadiabatic relaxation mechanism after s→p excitation (22, 24–26), the existence of a long-lived surface electron with distinct energetics and its potential influence on DNA damage are still discussed controversially (6, 9, 13, 14, 16, 27, 28, 33).
A still unresolved issue concerns the influence of elastic and inelastic electron scattering on the measurement of key properties of the hydrated electron (8, 23, 28, 34–41). Electron scattering determines the probing depth in photoelectron spectra of water microjets and water droplets (35, 42) and is thus crucial to clarify which region of the aqueous sample—the top molecular layer, the interfacial region, or the bulk—is primarily probed. There were no reliable estimates of the probing depths for eaq− in the electron kinetic energy (eKE) region below 10 eV, and it has been only speculated to be on the order of 1 nm (7, 8, 23–25, 28, 34, 36, 37)—which resulted in ambiguities in the interpretation of experimental data. For lack of detailed scattering data for very slow electrons in liquid water, no attempt has been made to retrieve genuine eBE spectra of eaq− [referred to in the following as eBE(g)], namely spectra that are not distorted by scattering of the electron in the solvent (Fig. 1). This in turn has hampered the determination of vertical electron binding energies (VBEs) and the interpretation of photoelectron angular distributions (PADs). VBEs are defined as the most probable eBEs (position of band maxima) observed in the photoelectron spectra of solvated electrons. Most reported VBEs for the ground-state hydrated electron vary between 3.3 and 3.9 eV with quoted uncertainties of typically ~0.1 eV (table S1 and fig. S1) (6–8, 27). The variation arises, in part, from the streaming potential of the liquid microjet (43), which has often been ignored, and from the influence of the work function difference between the liquid and the apparatus (44). However, a more essential problem is elastic and inelastic electron scattering in the liquid before photoemission (8). Without detailed scattering parameters and simulations, the actual effect of scattering remained unclear so that no genuine VBE(g) could be extracted from the experimental spectra. Similarly, the importance of electron scattering for the interpretation of experimental PADs was recognized (22, 23, 34, 45), but without accurate scattering simulations, its quantification remained elusive. PADs are very sensitive to the actual values of the scattering cross sections. Isotropic PADs are expected for large elastic and inelastic electron scattering cross sections, whereas small cross sections may partly preserve the genuine photoelectron anisotropy [PAD(g)]. Here, we combine photoelectron spectroscopy of eaq− in liquid water microjets with detailed electron scattering simulations with the aim of resolving ambiguities concerning the influence of electron scattering on key properties of the hydrated electron.
For lack of liquid water data, previous scattering simulations of the liquid bulk used scattering parameters of amorphous ice at low eKEs (38), which have existed for some time (39), whereas corresponding values for liquid water have only very recently become available through photoelectron imaging of liquid water droplets (35). In the past, estimates regarding the influence of scattering on the hydrated electron (6, 8, 23, 24, 28) were based on approximate or extrapolated values of the electron attenuation length (EAL) retrieved from water microjet studies (28, 36, 40, 41). At an eKE of ~3 eV, an approximate EAL of ≥5 nm was suggested in an ultraviolet microjet photoemission study (28). Further, EAL data for eKEs below 10 eV were obtained from extrapolations of EAL data recorded at eKEs of >10 eV in soft x-ray water microjet studies (36, 40, 41). Resulting EAL values ranged from “at least a few nanometers” (41) to subnanometers (36). However, rather than the variation in the reported EALs, the major challenge arises from the fact that single quantities, such as EALs, do not allow quantitative predictions of scattering effects, which are the result of the complex interplay of various contributions. The EAL, for example, describes the average damping effect of various types of scattering events with different angular and energy loss characteristics, which cannot be extracted from EALs alone (46). Here, we address this issue with a detailed, probabilistic electron transport model (35, 39) using our recently retrieved scattering parameters for low eKEs from the work of Signorell et al. (35). These scattering parameters were obtained from photoemission imaging measurements of water droplets (35) and are independent of the present liquid jet data. Our simulations explicitly take into account the cross sections, energetics, and angular-dependences of all relevant scattering processes (inelastic electron-phonon, electron-vibron, and electron-electron scattering and isotropic elastic scattering; note that forward elastic scattering does not contribute here) as well as the intensity distribution of the ionizing radiation in the microjet (see Materials and Methods, section S2, and figs. S2 and S3).
RESULTS AND DISCUSSION
Hydrated electron formation and detection
The experimental setup comprises a water microjet, a femtosecond laser system (1 kHz), and a magnetic bottle photoelectron spectrometer (fig. S4) (8, 23). Hot hydrated electrons (eaq−)* are formed by charge transfer–to–solvent (CTTS) excitation of precursor anions [I− or Fe(CN)64−] at pump energies hνpump between 215 and 270 nm. After a time delay Δt of several hundred picoseconds, (eaq−)* relax to their thermalized ground-state eaq−, from which they are excited into vacuum (e−) by the ionization (probe) laser with photon energy hν(1)
Influence of electron scattering on photoelectron spectra
Figure 2 (A and B) shows experimental and simulated eKE distributions, respectively, for 3.6 eV ≤ hν ≤ 13.6 eV (fig. S5) (8). For all different ionization energies, the experimental spectra (Fig. 2A) are perfectly reproduced by our detailed scattering model (Fig. 2B and fig. S5). Without scattering, by contrast, the agreement with the experiment is unsatisfactory (fig. S6). The band shapes cannot be reproduced if scattering is neglected, highlighting its importance. In a sensitivity analysis of the simulations, we find virtually identical results for variations of the scattering parameters within their respective uncertainties (section S5) (35), indicating that robust values for binding energies, probing depths, and PADs can be derived from the simulations shown in Fig. 2.
For ionization laser energies hν ≤ 5.8 eV, both the experimental and the simulated eKE distribution in Fig. 2 show a pronounced dependence on the photon energy. The eKE distribution gradually shifts toward higher energy with the probe photon energy hν, as anticipated. However, the eBE distribution calculated using eBE = hν − eKE (Fig. 3 and fig. S9) also varies with the probe photon energy, manifesting a strong influence of inelastic scattering. The position of the band maxima in the eBE spectra, that is, the apparent VBEs, increases with increasing hν, making it difficult to determine the true VBE(g) directly from the experimental spectra. As we have previously suggested, the true VBE(g) could be obscured by the influence of energy-dependent inelastic electron scattering in the liquid, leading to an apparent dependence of the experimental VBEs on the ionization energy (8).
Genuine electron binding energy
The present work resolves the ambiguities in determining VBE(g) from experimental spectra by analyzing them in terms of detailed scattering calculations. Inelastic electron scattering reduces the eKE before the escape into vacuum. Because the scattering parameters (differential cross sections and energy loss) are energy-dependent, scattering depends on the initial kinetic energy distribution and thus on hν. This leads to an additional, explicitly energy-dependent scattering correction Esca(hν) in the expression that relates measured eKEs and genuine eBEs(g) (Fig. 1)(2)
Esca(hν) is not a simple function of hν, but it shows a complicated hν dependence that can only be captured by detailed modeling of the various scattering processes (see Materials and Methods, section S2, and fig. S3). Although probe energy dependencies of eBE spectra are not uncommon, particularly at the very low eKEs of interest here, our scattering analysis reveals as its most intriguing result the existence of a distinct genuine eBE(g) spectrum that is independent of the probe energy. In liquid water, the hν dependence of eBE spectra is apparently completely described by transport properties. The genuine eBE(g) spectrum is shown in Fig. 3 (figs. S9 and S10) as open stars together with the eBE spectra measured for 3.6 eV ≤ hν ≤ 13.6 eV. At this point, it remains unclear whether the asymmetric shape of the eBE(g) spectrum arises from initial state or final state (conduction band) contributions. The latter would reflect a structured density of final states. The fact that the shape of the eBE(g) spectrum does not depend on hν makes this explanation less plausible. Alternatively, the asymmetric band shape could result from a distribution of different initial states, for example, different types of cavities with different ionization energies and different ionization cross sections. The deviations of the 12 eBE spectra from the eBE(g) spectrum indicate a complex dependence on hν, which arises from a combination of energy-dependent scattering and limited photon energy. The latter is primarily responsible for the narrow bandwidths and the shift toward lower VBEs (maxima) of the spectra recorded at hν < 4.4 eV, whereas all other deviations arise from energy-dependent electron scattering. This includes the shift toward higher VBEs of the spectra recorded at hν ≥ 4.4 eV. An increase of the most probable eBE value compared with the eBE(g) spectrum is expected because inelastic scattering reduces the kinetic energy, thus increasing the apparent binding energy. This shift is neither linear nor monotonous in hν. For example, the maximum of the spectrum (Fig. 3; dashed line) lies close to the maximum of the spectrum but below that of the spectrum. This is an immediate consequence of the energy dependence of scattering cross sections. The retrieval of a genuine eBE(g) spectrum finally allows us to determine an unambiguous value of 3.7 ± 0.1 eV for the genuine VBE(g) of the hydrated electron in liquid water. This value is independent not only of scattering contributions but also of the specific experimental settings (photon energy) so that the same VBE(g) describes the experimental spectra recorded at different ionization laser energies. A substantial part of the spread in the experimentally observed apparent VBEs (3.3 to 4.5 eV; table S1) originates from electron scattering in the liquid.
The complex role of scattering is also reflected in the probing depths in Fig. 4 (fig. S11). For photon energies of ≤5.8 eV, the probing depth increases with hν because higher ionization energies result in higher eKEs. Electrons with higher eKEs can travel further away from their point of origin, which results in a larger probing depth. The nonlinear trend in the probing depths in Fig. 4 reflects the energy dependence of the scattering parameters, whereas the penetration depth of the ionizing radiation (fig. S2A) is much larger than the scattering mean free path of a few nanometers and does not affect the probing depth. This remains true at hν = 38.7 eV, where the probing depth decreases below the value at hν = 3.6 eV, solely as a result of scattering. The penetration depth of the ionizing radiation is still on the order of 25 nm. The influence of scattering is more pronounced at higher hν of 38.7 eV compared with hν of ≤5.8 eV because of electron attachment and electronic scattering channels, which come into play at eKEs above 6 eV, resulting in a much larger energy loss per scattering event (stopping power). The energy dependence of the probing depth influences the surface sensitivity of eBE spectra and their shape (fig. S12). The probing depth at hν = 38.7 eV is of particular relevance to the question of whether a highly preferential detection of surface-bound electrons, as suggested by Siefermann et al. (6), is feasible. Unless surface-bound electrons have a much higher photoionization cross section, such a high surface sensitivity appears inconsistent with our data (fig. S11), which predict that even at hν = 38.7 eV, 50% of the total electron signal still originates from eaq− solvated deeper in the liquid than three monolayers from the surface.
Influence of electron scattering on PAD
Finally, let us consider the influence of electron scattering on the PAD. Our recent angle-resolved liquid microjet photoemission study revealed an almost isotropic PAD for eaq− [see Fig. 4D of Yamamoto et al. (23)] at hν = 4.8 eV. The experimentally measured anisotropy parameter was extremely small. The simulation of the minute anisotropy enabled us to derive an anisotropy parameter β(g) = 0.6 ± 0.2 for the PAD(g) at hν = 4.8 eV (section S8), which is consistent with an s-like ground-state wave function of eaq− (11, 15, 17). In contrast to the liquid jet, the decrease of β(g) by scattering is almost negligible for eaq− in small water anion clusters with ~50 H2O molecules. For this cluster (0.7-nm radius), we calculate a reduction of β(g) by less than 0.1 (fig. S14) in the same eKE range, which is in agreement with the experimental value βcluster ≈ 0.7 ± 0.1 from the study of Bragg et al. (45). The value of β(g) = 0.6 ± 0.2 we drive for liquid water at hν = 4.8 eV provides PADs that are consistent with the experimental observations, namely, isotropic PADs for eaq− in liquid microjets (23) and anisotropic PADs for anion clusters (45).
The unknown contribution of electron scattering to key properties of eaq− has led to controversial discussions in the past. Our detailed analysis has now revealed the existence of a distinct genuine eBE(g) spectrum and PAD(g) for eaq−. The result of this work provides the missing link between experimentally measurable quantities and genuine properties. The merit of the latter, that is, of properties undistorted by scattering, is twofold. They are independent of experimental conditions so that they can be directly compared between different experiments resolving ambiguities in the determination of hydrated electron properties. As an additional advantage, genuine properties offer the possibility of a straightforward comparison with quantum chemical calculations (13), for example, to provide insight into the origin of the shape of the eBE(g) spectrum. Of particular relevance to unraveling the role of eaq− in radiation and aqueous solution chemistry (1–4) is the extension of scattering cross sections to very low kinetic energies for liquid water.
MATERIALS AND METHODS
The experimental photoelectron spectra of the hydrated electron in the liquid water microjet were recorded with a magnetic bottle photoelectron spectrometer after formation of the hydrated electron by CTTS excitation (see section S3 for details) (8, 23). The calculated photoelectron spectra were based on detailed electron scattering simulations using a Monte Carlo solution of the transport equations (35). The initial spatial distribution of photoelectrons was obtained from the light intensity distribution across the profile of the liquid jet, which we calculated from the wavelength-dependent complex index of refraction of water by numerically solving Maxwell’s equations. For a given hν, the choice of eBE(g) spectrum and anisotropy β(g) then determined the initial velocity distribution of the photoelectrons. Their subsequent transport through the liquid consisted of a random succession of scattering events until the electrons were either absorbed or left the jet and were detected. The differential scattering cross sections end electron loss parameters by Signorell et al. and Michaud et al. (35, 39) were used for the description of elastic and all different types of inelastic scattering (see section S2 for details). Integral scattering cross sections for liquid water at low eKEs are provided in fig. S3. The eBE(g) spectrum shown in Fig. 3 was obtained by maximizing the cross-correlation between the complete set of experimental and simulated eKE spectra. We performed an explicit sensitivity analysis to derive the quoted uncertainties of the final result (see section S6 and fig. S10 for details).
Supplementary material for this article is available at http://advances.sciencemag.org/cgi/content/full/3/4/e1603224/DC1
Supplementary Materials and Methods
section S1. Experimental values for the VBE of the bulk hydrated electron
section S2. Description of scattering calculations
section S3. Description of experimental setup
section S4. Additional eKE distributions
section S5. Sensitivity of eKE distributions to scattering parameters
section S6. Additional electron binding energy spectra
section S7. Probing depth and surface sensitivity
section S8. Photoelectron angular distribution
table S1. Previously reported values of the VBEs for the bulk hydrated electron.
fig. S1. Experimental VBEs by Yamamoto et al. (8).
fig. S2. Light intensity distribution in the liquid microjet.
fig. S4. Scheme of the experimental setup.
fig. S5. Direct comparison of the experimental and calculated photoelectron kinetic energy distributions from Fig. 2 for all probe energies hν.
fig. S6. The influence of scattering on the eKE distributions.
fig. S7. Sensitivity of eKE distributions to an increase in the inelastic mean free path (IMFP) of +40%, which corresponds to the upper uncertainty limit of the IMFP (35).
fig S8. Sensitivity of eKE distributions to a change in the angular distribution of the inelastic scattering events (section S2).
fig. S9. Experimental eBE spectra for the different photon energies between 3.6 eV ≤ hν ≤ 13.6 eV.
fig. S10. Uncertainty of the eBE(g) spectrum.
fig. S11. Fraction of the total electron intensity that originates from cylindrical shells of various thickness for photon energies 3.6 eV ≤ hν ≤ 13.6 eV and for a photon energy hν = 38.7 eV (red, dashed line) (6).
fig. S12. Surface contribution to the eBE spectra for (A) hν = 3.6 eV and (B) hν = 5.8 eV.
fig. S13. Calculated angle-dependent liquid jet photoelectron spectra for different ionization laser polarization directions 0° ≤ θ ≤ 90° (section S2 and fig. S4) and a photon energy of hν = 4.8 eV (23).
fig. S14. Calculated velocity map photoelectron image for hydrated electrons in an anion cluster with ~50 H2O molecules for a genuine anisotropy parameter β(g) = 0.6 and a photon energy of hν = 3.1 eV (45).
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REFERENCES AND NOTES
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