Molecules containing vibrational Stark shift reporters provide a useful tool for measuring DC electric fields in situ. To quantify this effect theoretically, density functional theory (DFT) calculations are usually utilized in a uniform electric field. However, using a combined theoretical and experimental study, we demonstrate here that uniform field DFT cannot simultaneously model the behavior of the three strongest vibrational modes in molecules forming a monolayer on an electrode. We show, by directly modeling ionic movement, that the measured Stark shifts are explained by partial electrical double-layer penetration into the molecular layer. This effect is sensitive to the local environment, and the Stark shifts can be fully suppressed experimentally by introducing a mixed molecular layer that prevents ionic double-layer penetration.
Molecules containing vibrational Stark shift reporters provide a useful tool for measuring DC electric fields in situ. To quantify this effect theoretically, density functional theory (DFT) calculations are usually utilized in a uniform electric field. However, using a combined theoretical and experimental study, we demonstrate here that uniform field DFT cannot simultaneously model the behavior of the three strongest vibrational modes in molecules forming a monolayer on an electrode. We show, by directly modeling ionic movement, that the measured Stark shifts are explained by partial electrical double-layer penetration into the molecular layer. This effect is sensitive to the local environment, and the Stark shifts can be fully suppressed experimentally by introducing a mixed molecular layer that prevents ionic double-layer penetration.
In vibrational
spectroscopies
such as Raman, infrared, and sum-frequency generation, spectral peak
shifts can be observed in response to external static electric fields.
Vibrational energy levels are modified in electric fields because
of the vibrational Stark effect (VSE), which has been used to map
fields near roughened electrode surfaces with surface-enhanced Raman
spectroscopy (SERS).[1] While SERS is valuable
for studying interfacial chemical processes crucial for many applications,
such as catalysis and energy harvesting,[2] standard roughened gold (Au) electrodes complicate analysis because
of their surface inhomogeneity and variable morphology. Here, the
VSE is used to measure the electric fields on nanoparticle-on-mirror
(NPoM) electrodes. Each NPoM is a highly reproducible bottom-up geometry
that produces individual dimer-like nanocavities of optical volume <100 nm3 with Raman
enhancements >108, in which the mirror has a smooth,
homogeneous
surface.[3,4] Early electrochemical work with similar
geometries assigned bond shifts to Au–molecule bonding changes[5] or to molecular flexing,[6] not considering electrical double layer influences. Isocyanide groups,
which are effective VSE reporters, shift in response to electric fields
on NPoM electrodes[7] but report only groups
at the electrode/molecule interface, leaving the molecule/solution
interface environment unexplored. Understanding ionic movement at
both interfaces is crucial for surface-bound catalysis and molecular
electronics.To tackle this, we use a nitrile reporter and perform
extensive
density functional theory (DFT) calculations to explore the effect
of a single ion pair on the VSE. We find that the application of a
uniform field in DFT calculations is insufficient to describe our
experiments despite the sensitivity of this model to molecular orientation,
field direction, and field magnitude. We demonstrate instead the effectiveness
of a simple ionic model that considers the effect of local electric
fields induced by a single ion. Only including this allows DFT simulations
to capture the spectroscopic features of key vibrational modes and
to provide a physical depiction of the electrical double layer.Nitriles are well-known Stark reporters that exhibit strong VSE
shifts in response to electric fields,[8,9] hence our choice
of 4-mercaptobenzonitrile (MBN) here. Combined spectroscopic and electrochemical
measurements are performed using a custom-built spectro-electrochemical
cell (Figure a). Both
NPoM and roughened Au electrodes are compared to explore the influence
of nanoscale morphology on voltammetry, where the NPoMs form a precisely
determined architecture in comparison to the inhomogeneous rough surface
of crevices. Briefly, NPoMs are made by forming a self-assembled monolayer
(SAM) on smooth gold before dispersing Au nanoparticles (NPs) on top.
The result is a flat electrode appearing black in dark-field images
with many individual bright scattering rings corresponding to NP positions
(Figure b). By contrast,
Au electrodes are roughened by the standard oxidation and reduction
cycling (ORC) method in KCl electrolyte, and SAMs are directly formed
onto the rough surface.[10] Roughened Au
electrodes have many scattering features in dark field images that
correspond to a wide variety of Au structures on the surface (Figure c).
Figure 1
Spectro-electrochemical
experiments. (a) Cell shown for NPoM, with
contacted mirror forming the working electrode while the reference
electrode (3 M Ag/AgCl) and counter electrode (Pt mesh) are immersed
in solution. A 0.9 NA objective focuses light onto the sample and
collects SERS through the coverslip. (b and c) Dark-field images of
(b) NPoM and (c) roughened Au substrates (scale bars, 10 μm).
(d) Typical dark-field scattering spectrum for NPoM with MBN monolayer
and 60 nm AuNPs. Transverse () and coupled () plasmon modes are labeled; 633 nm laser
(dashed line) is used for SERS. (e) Cyclic voltammograms for roughened
Au (gray) and NPoM (black) substrates with MBN monolayers. Arrow indicates
scan start; scan rate, 100 mV s–1; performed in
N2-saturated 0.1 M KCl electrolyte. (f) SERS spectrum of
MBN NPoM (black), with DFT spectrum for MBN (blue, scaling factor
0.965). Highlighted modes identified by DFT correspond to local MBN
bond vibrations indicated by arrows.
Spectro-electrochemical
experiments. (a) Cell shown for NPoM, with
contacted mirror forming the working electrode while the reference
electrode (3 M Ag/AgCl) and counter electrode (Pt mesh) are immersed
in solution. A 0.9 NA objective focuses light onto the sample and
collects SERS through the coverslip. (b and c) Dark-field images of
(b) NPoM and (c) roughened Au substrates (scale bars, 10 μm).
(d) Typical dark-field scattering spectrum for NPoM with MBN monolayer
and 60 nm AuNPs. Transverse () and coupled () plasmon modes are labeled; 633 nm laser
(dashed line) is used for SERS. (e) Cyclic voltammograms for roughened
Au (gray) and NPoM (black) substrates with MBN monolayers. Arrow indicates
scan start; scan rate, 100 mV s–1; performed in
N2-saturated 0.1 M KCl electrolyte. (f) SERS spectrum of
MBN NPoM (black), with DFT spectrum for MBN (blue, scaling factor
0.965). Highlighted modes identified by DFT correspond to local MBN
bond vibrations indicated by arrows.Hundreds of NPoM junctions are characterized by automated dark
field spectroscopy (Figures d and S1).[11] Representative spectra show the expected NPoM scattering response,
including transverse and coupled modes. Modeling the coupled mode
resonance[12] gives estimates of gap refractive
index nMBN = 1.4 and dMBN = 0.9 nm, consistent with a near-upright aromatic
SAM of DFT-predicted MBN length 8.3 Å.Cyclic voltammetry
measurements of MBN monolayers between +0.2
V and −0.6 V vs Ag/AgCl show a mostly capacitive response with
the onset of reductive thiol desorption at potentials below −0.4
V (Figure e), albeit
with very low current density (μA cm–1). Increased
capacitive current on roughened Au is likely due to the larger surface
area of the roughened electrode. The capacitive region remains identical
before and after NP deposition (Figure S2), while the reductive wave decreases slightly. The SERS spectrum
(Figure f, black)
of MBN is characterized by three intense peaks assigned by DFT as
ν(C–S), ν(C=C), and ν(C≡N) bonds (insets
in Figure f). The
DFT-calculated Raman spectrum (Figure f, blue) reproduces these features well.VSE
is a modulation of vibrational energy levels by an external
electric field, and early electrochemical experiments utilized alkyl
nitriles in an attempt to electrically decouple the nitrile group
from the electrode.[13,14] More recent studies do not make
this distinction, and a range of molecules give little difference
in Stark tuning rates unless the probe is covalently bound to the
surface.[9,14−16] Bond shifting can be
caused by sources other than VSE, such as changes to bond character
by electrochemical reduction or by direct electron injection from
the electrode (analogous to electron-donating or electron-withdrawing
groups).[17] The MBN molecule can experience
either direct reduction of the Au–thiol bond or electron donation
to the nitrile group. To obtain a fuller picture of molecular changes
with potential, we track all three characteristic Raman modes of MBN.
We use a step-potential profile (Figures and S3) between
+0.2 V and −0.6 V vs Ag/AgCl during SERS measurements. As potential
becomes more negative, both ν(C=C) and ν(C≡N) clearly
redshift (2.5 and 5 cm–1, respectively)
while ν(C–S) experiences a smaller (∼1
cm–1) blueshift. Over 100 spectra
are recorded at each potential (including
both repeated observations on a single NPoM junction and different
NPoMs) to determine the variability of peak positions, with Lorentzian
peak fit positions then averaged (Figures d–f and S4). Peak intensities increase at negative potentials, consistent with
previous results that Raman cross sections increase in DC electric
fields as electron redistribution modifies the molecular polarizability.[18]
Figure 2
Potential-dependent SERS. (a–c) Averaged ( = 20) spectra of SERS peaks during
chronoamperometry
between 0.2 V and −0.6 V vs Ag/AgCl. Data is background subtracted
and smoothed for clarity. (d–f) Averaged (=100) peak center positions from
Lorentzian
fits vs potential, for 0.1 M KCl electrolyte. Labels in (e) and (f)
give Stark tuning rates in cm−1/V.
Potential-dependent SERS. (a–c) Averaged ( = 20) spectra of SERS peaks during
chronoamperometry
between 0.2 V and −0.6 V vs Ag/AgCl. Data is background subtracted
and smoothed for clarity. (d–f) Averaged (=100) peak center positions from
Lorentzian
fits vs potential, for 0.1 M KCl electrolyte. Labels in (e) and (f)
give Stark tuning rates in cm−1/V.While ν(C=C) and ν(C≡N) exhibit a linear
potential
response (Figures and S5), ν(C–S) shifts only
below −0.4 V where thiol reduction currents start (Figure e). In the reductive
desorption process, ν(Au–S) weakens
so ν(C–S) should strengthen, as seen. Because the nitrile
group follows a different trend from the ν(C–S) peak, thiol desorption is unlikely to contribute strongly to nitrile
shifts. In comparison, roughened Au (Figure S5, purple) gives large spot-to-spot ν(C–S) peak variability in spectral position when compared to much smaller
NPoM-to-NPoM variation, as well as less defined shift onsets and less
consistent reversibility, likely because of nanoscale inhomogeneities.The gradients (Figure e,f) give the Stark tuning rates, which match those expected
for the nitrile VSE.[15,19] Similar values from roughened
Au at supporting electrolyte concentrations >10 mM (Table S1) indicate that the DC field at the MBN/AuNP
interface
is identical to that at the MBN/solution interface. The tuning rate
of ν(C≡N) decreases at lower electrolyte concentrations
(Figure S5). The extent of the electrical
double layer increases as electrolyte concentration decreases, approximated
by the Debye length () as a function of solution permittivity
and concentration.[20] For KCl electrolyte 0.94
nm, 3.0
nm, and 9.5
nm. Using these values and the Gouy–Chapman–Stern
model of the double layer (not accounting for SAM effects), it follows
that a Stark probe will experience smaller values of electric field
(potential gradient) as electrolyte concentration decreases (Figure S6).[1]These effects cannot be accounted for by Ohmic potential drops.
Despite the expected large cell resistance (∼1 kΩ at 100 mM KCl) in these cells, the low
currents (<1 μA) give very small potential drop (<1 mV)
which hence does not affect measurements appreciably (see SI Note 1 for further discussion).The
structure of electrical double layers on bare electrodes is
still debated, with recent emphasis on specific ion effects.[21] The matter is even less clear when surface adsorbed
species are present on the electrode, and little consistency is to
be found in the literature. While some researchers assume that ions
do not penetrate the SAM layer,[22] or indeed
that the SAM acts as a dielectric,[23] others
have used a model where the double layer forms within the SAM relatively
unimpeded.[14,17]Our finding that the tuning
rate decreases with electrolyte concentration
implies that the electrical double layer at least penetrates the nitrile
moiety. This is further supported by repeating experiments using roughened
Au substrates (Figure S5), recovering similar
trends despite increased spot-to-spot variability.While nitrile
VSE is well-documented, to our knowledge no previous
works report experimental changes to ν(C=C) with potential.[6,15,19,24] Previous authors working with MBN pass no comment on this mode,
even when reporting changes to smaller spectral peaks such as ν(C–H).[6] We observe a strong, linear ν(C=C) shift
with both NPoM and roughened Au substrates. Strong VSE is not usually
expected for bonds without a large permanent dipole, although the
strong electronic delocalization in phenyl molecules may give this
mode more dipolar character. To test this, DFT calculations (see Computational Methods for details) were performed
in a simulated uniform DC electric field (Figure S7). While all three of ν(C–S),
ν(C=C), and ν(C≡N) are predicted to shift in a
DC field, those shifts occur in the wrong ratio (for example ν(C=C) > ν(C≡N)), or in opposing directions
to experiment (closest to our data is ref (19)). In addition, intense new modes are predicted
around 900 cm–1 that are not observed experimentally.To understand this further, exhaustive systematic DFT calculations
(see Computational Methods for details) are
performed in the presence of ions to explore the impact of a nearby
ion–counterion pair on the local charge distribution (Figure ). The counterion
(solid green) is placed at + 0.27 nm to ensure overall charge
neutrality
(where its exact lateral position has minimal effect on our results).
Figure 3
DFT-calculated
Raman shifts with ion movement. (a) Schematic of
MBN SAM and nearby ions, with axes for DFT calculations. (b) Schematic
depicting lateral movement of the ion (solid purple) in the direction, along with its counterion
(solid
green). (c–e) Calculated peak positions as ion and counterion
move together along the -axis. (f)
Schematic depicting vertical
movement of ion and counterion along the -axis. (g–i) Calculated
peak positions
(blue) as ion pair moves along z, overlaid with experiment
(orange). Experimental data rigidly offset by Raman shifts of (g)
+15.3 cm–1, (h) +3.65 cm–1, and
(i) +12.4 cm–1, scaled as zexpt [Å]= 2.5V[V] + 0.5, DFT scaling factor is 0.965.
DFT-calculated
Raman shifts with ion movement. (a) Schematic of
MBN SAM and nearby ions, with axes for DFT calculations. (b) Schematic
depicting lateral movement of the ion (solid purple) in the direction, along with its counterion
(solid
green). (c–e) Calculated peak positions as ion and counterion
move together along the -axis. (f)
Schematic depicting vertical
movement of ion and counterion along the -axis. (g–i) Calculated
peak positions
(blue) as ion pair moves along z, overlaid with experiment
(orange). Experimental data rigidly offset by Raman shifts of (g)
+15.3 cm–1, (h) +3.65 cm–1, and
(i) +12.4 cm–1, scaled as zexpt [Å]= 2.5V[V] + 0.5, DFT scaling factor is 0.965.The DFT model (depicted in Figure a) places the MBN upright along z,
with the electrode in the x−y plane, and the
phenyl rinxg at = 0 parallel to the y−z plane. The ion position is first varied along the x-axis (in all cases correspondingly also moving the counterion),
approximating a variation in local ion concentration (Figure b), limiting the closest ion
approach to be the sum of atomic and ionic radii.[25] The vibrational peaks change as the ion moves closer to
the molecule (Figure c–e) with charge distributions across MBN changing accordingly
(Figure S8). Modifying the DC field while
an ion is nearby (Figure S9) produces results
similar to calculations with no ion (Figure S7). To match the observed shifts, this lateral model implies that
Cl– ions approach the molecule for negative electrode
potentials, which is clearly unphysical (flipping the ion unit so
that K+ is closest gives a similar problem, Figure S10). Lateral ion movement is thus not
plausible to explain our observations.We therefore take a different
approach in our simulations. All
double-layer models agree that ions migrate toward the electrode as
the electrical double layer forms, which here is modeled as an ion
moving along the -axis besides
the MBN (Figure f).
Our calculations show that
all three peaks shift as the ion (K+ as shown in Figure f–i) moves
past the nitrile group and approaches the center of the ring region.
Comparing to experiment (Figure g–i, orange, using ), this model captures shifts in
ν(C=C)
and ν(C≡N) peaks in the correct ratio as the ion moves
past the nitrile group toward the phenyl group. Apart from the thiol
desorption effects discussed above, the ν(C–S) is correctly
predicted to shift only a little. Interpreted literally, these results
imply that at these potentials, ions are restricted from approaching
the bottom electrode any more closely than the phenyl ring group and
that the presence of a single electrolyte ion per molecule is sufficient
to induce the Stark shifts observed.Although this simple model
does not consider interactions such
as molecule–molecule, ionic screening, long-range interactions,
or ionic hydration, good quantitative agreement is found between calculations
and experiment. These effects can be modeled by the selected value for the average ion pair
position.
This implies that the main contributing factor to Stark shifts in
SAM layers can be better described by the local interactions of ions
than by an average linear field. Physically, it is certainly feasible
in a densely packed SAM that ions can closely approach the molecular
headgroups and in so doing, modulate their vibrational energies. We
emphasize that no other model can convincingly reproduce both ν(C=C)
and ν(C≡N) shifts in the MBN molecule. Repeating these
calculations now also including Au (Figure S11) gives no significant difference, showing that image charge effects
are not dominant.To demonstrate how the double-layer penetration
can be controlled,
two different molecules are now mixed within the SAM, combining MBN
and 4-biphenylthiol (BPT), which modifies the ionic landscape around
the MBN nitrile. Three MBN:BPT solution ratios are chosen when preparing
the mixed SAMs: 100:0, 50:50, and 05:95, giving SERS spectra with
the corresponding ratio of SERS intensities (Figure a). Because BPT is a longer molecule than
MBN, its upper phenyl group should extend beyond the MBN nitrile (as
depicted schematically in Figure b). Potential-dependent SERS measurements reveal a
marked difference in ν(C≡N) Stark tuning rate with MBN:BPT
ratio, decreasing from a maximum of 5.8 ± 0.2 cm–1/V in pure MBN to full suppression at 05:95 (Figure c). The MBN Stark tuning rate is thus very
sensitive to the local ion concentration and shows that phenyl groups
can form a barrier to ions penetrating inside a SAM.
Figure 4
Mixed SAM experiments.
(a) Representative SERS spectra on individual
NPoMs for mixed MBN:BPT SAMs, normalized to BPT line at 1585 cm–1. Labels give molar mixing fraction. (b) Schematic
of electrical double-layer ions in vicinity of pure and mixed MBN
SAMs. (c) Stark shift data for ν(C≡N) mode in pure and
mixed MBN SAMs. Colors correspond to spectra in panel a. Electrochemical
conditions match those in Figure . Tuning rates given in cm–1/V.
Mixed SAM experiments.
(a) Representative SERS spectra on individual
NPoMs for mixed MBN:BPT SAMs, normalized to BPT line at 1585 cm–1. Labels give molar mixing fraction. (b) Schematic
of electrical double-layer ions in vicinity of pure and mixed MBN
SAMs. (c) Stark shift data for ν(C≡N) mode in pure and
mixed MBN SAMs. Colors correspond to spectra in panel a. Electrochemical
conditions match those in Figure . Tuning rates given in cm–1/V.Taken together,
the combined DFT and experimental analysis of electrochemical
Stark effects show that the vertical movement of ions by ∼2
Å can account for substantial vibrational mode shifts throughout
the whole molecule. Further, the presence of another molecule at even
a 50:50 ratio can suppress this effect by modifying the local ionic
environment. We thus emphasize that caution must be taken when extracting
quantitative information about the local environment on electrode
surfaces from data on a single reporter bond using linear field models.
As we show, much more detailed models for the SAM–electrolyte
interaction must be considered. When modeled with care, the VSE can
be a successful tool for gauging even complicated heterogeneous electric
fields in biological systems.[16,26,27] Of particular interest will be future explorations of the ionic
penetration of organic electrolytes and ionic liquids into SAMs, about
which much less is currently known.In summary, we studied very
reproducible Stark shifts in MBN monolayers
and observed shifting of multiple vibrational modes that are not well-captured
by linear field models. By modeling the influence of an electrolyte
ion pair in close proximity to each molecule, we are able to reproduce
the experimental results and predict the localization of ions in the
molecular vicinity to <1 Å. Using mixed SAMs modifies the
local ionic distribution and prevents ions from penetrating the SAM.
This has important consequences for driving-force-sensitive surface
reactions taking place in mixed, multimolecular, or “dirty”
environments.
Experimental Methods
All chemicals
were purchased from Sigma-Aldrich, unless stated
otherwise, at the highest purity available and used as received.Au electrodes were fabricated by thermal evaporation. A 5 nm layer of Cr was evaporated onto
a rotating silicon wafer, followed by a 50–100 nm layer of
Au. Silicon wafers were then diced and cleaned by rinsing with EtOH
and drying in N2. To make NPoM samples, SAMs were formed
by immersing these chips in 1 mM MBN in EtOH for 22 h, then rinsing
with EtOH, and drying in N2. AuNPs were dispersed onto
the SAM by mixing 1 mM NaCl with 60 nm citrate buffered AuNPs (BBI
Solutions) in 1:6 v:v, then drop casting 40 μL onto the SAM
surface for 10 s before rinsing liberally with distilled water
and drying in N2. Mixed SAM layers were made by mixing
50:50 and 05:95 v:v MBN and BPT solutions of 1 mM and proceeding as
above.Electrochemically roughened gold electrodes were made
using an
established oxidation and reduction cycling method.[10] Briefly, Au films (before SAM deposition) were immersed
in 0.1 M KCl and held at −0.6 V versus Ag/AgCl
for 10 s, then swept to 1.1 V and held for 2 s.
The samples were swept back to −0.6 V, and these steps
were repeated 25 times. A SAM layer was then formed using the same
parameters as above.A 3D-printed 3-electrode cell was used
for all spectro-electrochemical
measurements. Au (NPoM or roughened Au) samples were used as the working
electrode, a platinum mesh (Alfa Aesar) as counter electrode, and
Ag/AgCl (3 M KCl, eDAQ ET072, Green Leaf Scientific) as reference
electrode. The cell was closed by a 25 × 25
× 0.2 mm3 glass coverslip. Sample-to-coverslip
distance is approximately 0.3 mm, to allow high-numerical-aperture
(NA) collection of SERS scattering. Electrochemical measurements were
recorded on an Autolab PGSTAT204 (Metrohm).Measurements were
recorded with a modified Olympus BX51 microscope
coupled to a 633 nm laser and an incoherent white light source. Excitation
and collection were performed through an Olympus 0.9 NA objective.
SERS spectra were recorded by an Andor CCD camera coupled to a Triax
320 spectrometer. Dark-field scattering spectroscopy was collected
by a fiber-coupled OceanOptics QE65000. Automated scans were performed
using a Python particle-tracking code.[11] A standard diffuser was used as a reference to normalize white light
scattering.
Computational Methods
The ground-state geometries of
MBN in the absence and presence
of ions and gold electrodes were obtained after performing geometry
optimization using the Gaussian g16[28] implementation
of density functional theory. B3LYP hybrid functionals with Def2QZVP
basis set and tight convergence criteria were used with a quadratically
convergent SCF procedure. We then calculate the Raman spectra as a
function of the combination of the following variables: (1) external
electric field with different
strength (0, 0.4, 0.8, 1.6
eV) parallel to the nitrogen–sulfur direction added to the
calculation using electric multipoles implemented in Gaussian g16,
(2) ion–counterion pairs with K and/or Cl facing the MBN, (3)
presence or absence of gold electrodes, and (4) different positions
of ion pairs relative to MBN. These results are discussed in the main
text and Supporting Information.
Authors: Felix Benz; Bart de Nijs; Christos Tserkezis; Rohit Chikkaraddy; Daniel O Sigle; Laurynas Pukenas; Stephen D Evans; Javier Aizpurua; Jeremy J Baumberg Journal: Opt Express Date: 2015-12-28 Impact factor: 3.894
Authors: Bart de Nijs; Richard W Bowman; Lars O Herrmann; Felix Benz; Steve J Barrow; Jan Mertens; Daniel O Sigle; Rohit Chikkaraddy; Anna Eiden; Andrea Ferrari; Oren A Scherman; Jeremy J Baumberg Journal: Faraday Discuss Date: 2015 Impact factor: 4.008
Authors: G Di Martino; V A Turek; A Lombardi; I Szabó; B de Nijs; A Kuhn; E Rosta; J J Baumberg Journal: Nano Lett Date: 2017-07-17 Impact factor: 11.189
Authors: Batyr Garlyyev; Song Xue; Sebastian Watzele; Daniel Scieszka; Aliaksandr S Bandarenka Journal: J Phys Chem Lett Date: 2018-04-03 Impact factor: 6.475
Authors: Marlous Kamp; Bart de Nijs; Nuttawut Kongsuwan; Matthias Saba; Rohit Chikkaraddy; Charlie A Readman; William M Deacon; Jack Griffiths; Steven J Barrow; Oluwafemi S Ojambati; Demelza Wright; Junyang Huang; Ortwin Hess; Oren A Scherman; Jeremy J Baumberg Journal: Proc Natl Acad Sci U S A Date: 2020-06-15 Impact factor: 11.205
Authors: Gal Schkolnik; Johannes Salewski; Diego Millo; Ingo Zebger; Stefan Franzen; Peter Hildebrandt Journal: Int J Mol Sci Date: 2012-06-18 Impact factor: 6.208