Possible modifications in electrochemical reaction kinetics are explored in a nanostructured plasmonic environment with and without additional light illumination using a cyclic voltammetry (CV) method. In nanostructured gold, the effect of light on anodic and cathodic currents is much pronounced than that in a flat system. The electron-transfer rate shows a 3-fold increase under photoexcitation. The findings indicate a possibility of using plasmonic excitations for controlling electrochemical reactions.
Possible modifications in electrochemical reaction kinetics are explored in a nanostructured plasmonic environment with and without additional light illumination using a cyclic voltammetry (CV) method. In nanostructured gold, the effect of light on anodic and cathodic currents is much pronounced than that in a flat system. The electron-transfer rate shows a 3-fold increase under photoexcitation. The findings indicate a possibility of using plasmonic excitations for controlling electrochemical reactions.
Plasmonic
metamaterials and metasurfaces can provide unprecedented
control of light[1−3] and bring new possibilities for modifying and controlling
various physical and chemical phenomena. The range of such phenomena
is very broad, including strong modifications in the spontaneous emission
rate and spectrum,[4−10] change in the Förster energy transfer rate,[11,12] modification of van der Waals forces, and new or accelerated chemical
reactions[13−18] in the vicinity of plasmonic structures, metasurfaces, and metamaterials.
The mechanisms of these effects are often related to the modified
density of photonic modes, which can be very significant (reaching
infinity in hyperbolic metamaterials).[2,19−22] However, depending on the process, other factors can play a defining
role. These factors are also specific for nanostructured or/and plasmonic
media, such as enhanced roles of surface and surface effects, charging
of nanofeatures,[23,24] or emission of hot electrons[25−30] under plasmon resonance conditions.Recently, it was found
that the charge-transfer process and charge
transport kinetics can be significantly altered in a plasmonic environment.[13,31−38] In experiments with electrochromic polymers such as polyaniline
(PANI)[39−41] and Prussian blue,[42] acceleration
of the color switching and high color contrast have been demonstrated
in plasmonic cavities, single-slit waveguides, and gold nanomesh substrates.
In refs (40, 43), PANI deposited on
the plasmonic gold nanomesh substrate demonstrates the behavior significantly
different from that in flat gold: a very steep color switching is
observed at a small increment of the voltage over some threshold value,
and an additional peak is recorded in the cyclic voltammetry curves.
These effects are tentatively ascribed to a possible interface-related
charging and Schottky barrier formation;[40] however, the full picture of the observed effects is not yet fully
clear.Studies of electrochemical reactions in a plasmonic environment
are still at the initial stage, and more experiments are needed to
explore opportunities for controlling or modifying this process with
plasmonic systems and metamaterials. Note that charge transport in
the electrochromic reactions of PANI is rather complicated due to
its multistep process with varied voltage; therefore, in this case,
identifying plasmonic-related effects involved in the modification
of the heterogeneous charge-transfer process is complicated. In this
work, we consider a much simpler process: a single-electron-transfer
oxidation–reduction reaction of hexacyanoferrite iron(II) state
to hexacyanoferrate iron(III) state in the K3 Fe(CN)6/KNO3 aqueous media.In the
current work, we investigate how the
vicinity to a nanostructured metallic surface affects this single
electron-transfer process and modifies the charge transport kinetics.
We use the same type of nanostructured environment that had been used
in previous experiments with PANI.[40] Similar
to previous work done, we employ the cyclic voltammetry (CV) method
and perform a comparative study of the reaction using two different
electrodes, flat gold and gold nanomesh. In addition, we explore the
possible effects of laser light illumination. The CV data will be
used to analyze the kinetics of the reaction, specifically the heterogeneous
electron-transfer rate (HET), which characterizes the electron transfer
between electroactive species and an electrode surface. The information
acquired on the kinetics of heterogeneous electron transfer for different
types of the electrode surface and the possibility to control or modify
this process is of great importance for various applications.
Experimental
Section
The schematics of nanoporous and flat gold electrodes
are shown
in Figure a. Glass
and nanoporous anodic aluminum oxide (AAO) substrates (with a pore
diameter of about 40 nm) are precleaned and precoated with an adhesion
layer of 3 nm thick Cr. Gold with a thickness of 40 nm is deposited
with the thermal evaporation method. The deposition of gold onto the
AAO substrate produces highly nanostructured surfaces, with optical
properties mainly defined by plasmonic resonances that are observed
as a broad dip in transmission[40] or reflection
spectra around λ = 548 nm, Figure b.
Figure 1
(a) Schematic of the gold nanomesh and flat
gold substrate; (b)
SEM (top) and the reflection spectrum (bottom) of nanomesh (taken
from the sample in the electrolyte); (c) schematic of the experimental
setup; and (d) typical cyclic voltammogram of iron(II) to (III) exchange
in K3[Fe(CN)6]/KNO3 aqueous
media with the potentiodynamic sweep (flat gold, 60 mV/s, dark field).
(a) Schematic of the gold nanomesh and flat
gold substrate; (b)
SEM (top) and the reflection spectrum (bottom) of nanomesh (taken
from the sample in the electrolyte); (c) schematic of the experimental
setup; and (d) typical cyclic voltammogram of iron(II) to (III) exchange
in K3[Fe(CN)6]/KNO3 aqueous
media with the potentiodynamic sweep (flat gold, 60 mV/s, dark field).The experimental setup is shown in Figure c. A transparent quartz cuvette
with dimensions
of 30 mm × 20 mm × 10 mm is filled by two-thirds with the
K3Fe(CN)6 electrolyte solution. The solution
is prepared from distilled water, 100 mM K3Fe(CN)6 (99.99%, Scientific Fisher), and 1 M KNO3 (99.99%, Sigma-Aldrich).The CV data are collected with a Biologic SP-300 potentiostat,
employing a standard three-electrode system: (1) the flat gold or
gold nanomesh substrate under study (with the surface area of about
0.2 cm2) is used as the working electrode, (2) a saturated
Ag/AgCl calomel electrode as the reference electrode, and (3) a platinum
wire with the diameter of 1 mm serves as the counter electrode. A
typical CV curve observed in our experiments, Figure d, exhibits a pair of well-defined redox
peaks and with peak-to-peak separations. The ΔE of 190.4 mv at 60 mV/s in flat gold agrees with prior literature.[44−46]The experiments are performed without and with additional
light
illumination, referred to as “in dark” and “in
light,” respectively. The additional illumination is provided
by a diode laser with the wavelength 585 nm and 100 mW power. Light
is focused on the submerged area (5 mm × 5 mm) of the working
electrode, which is our sample under study (gold nanomesh or flat
gold depending on a particular run), resulting in the illumination
intensity of 400 mW/cm2. To ensure that light illumination
does not induce an irreversible reaction, CV curves are first taken
in dark and then are repeated in dark again after the exposure to
light; they practically coincide with the curves recorded before the
exposure.
Results and Discussion
The CV curves are recorded for
various sweeping rates, v, ranging from 1 to 100
mV/s by sweeping the potential
between −0.2 and 1.2 V. Each experimental run is repeated for
different types of the substrate (flat or nanostructured) in dark
and light fields. Examples shown in Figure a correspond to four different cases denoted
with different colors: flat gold in dark (black), flat gold with light
(green), gold nanomesh in dark (blue), and gold nanomesh with light
(red). The same color scheme is used in all Figures and 3 subplots as
well.
Figure 2
(a) Cyclic voltammogram obtained using flat gold (in light and
dark fields) and nanomesh gold (in light and dark fields) as working
electrodes. Scan rate is shown for each electrode, 60 mV/s. (b) Oxidation–reduction
peak potential in nanomesh vs v sweep rate in light and dark; (c)
same in flat gold; and (d) anodic peak current vs v1/2, experiment (points) and fitting (dashed traces).
Inset: anodic (triangles) and cathodic (stars) currents in flat gold
in dark.
Figure 3
Redox potential (a, b), peak-to-peak separation
(c, d), and Nicholson
kinetic parameter (e, f) in flat gold (top three plots) and nanomesh
systems (three bottom plots). Red and green colors correspond to the
data obtained under light illumination, and blue and black data are
obtained in dark. Dashed traces in (e) and (f) are fitting with straight
lines.
(a) Cyclic voltammogram obtained using flat gold (in light and
dark fields) and nanomesh gold (in light and dark fields) as working
electrodes. Scan rate is shown for each electrode, 60 mV/s. (b) Oxidation–reduction
peak potential in nanomesh vs v sweep rate in light and dark; (c)
same in flat gold; and (d) anodic peak current vs v1/2, experiment (points) and fitting (dashed traces).
Inset: anodic (triangles) and cathodic (stars) currents in flat gold
in dark.Redox potential (a, b), peak-to-peak separation
(c, d), and Nicholson
kinetic parameter (e, f) in flat gold (top three plots) and nanomesh
systems (three bottom plots). Red and green colors correspond to the
data obtained under light illumination, and blue and black data are
obtained in dark. Dashed traces in (e) and (f) are fitting with straight
lines.The effects of the nanostructured
environment and light are clearly
seen in Figure . Under
light illumination, currents are higher than in dark, and the change
in the current is stronger in nanostructured gold than that in flat
(compare green and black traces for flat gold with blue and red for
the nanostructure). Positions of oxidation and reduction peaks change
as well: the peak separation, ΔE, becomes lower.
The effects of light are apparently more pronounced in the nanostructured
system than in flat gold.The dependence of oxidation and reduction
peak positions on sweep
rate, v, in the flat and nanostructured systems are
shown correspondingly in Figure b,c. With increasing in the scan rate, the reduction
peak moves toward higher negative potential while the oxidation peak
shifts toward higher positive potential as expected.The anodic
and cathodic peak currents (measured, respectively,
at the oxidation and reduction peak positions) are of the opposite
polarity and have the same magnitude (confirming the reversibility
of the process), see the example in the inset of Figure d. The magnitude of the peaks
increases with the increasing rate. It is instructive to plot their
magnitude as the function of the square root of the sweep rate (Randles–Sevcik’s
plot[47,48]), Figure d, which clearly shows the predominating term, αv1/2, where α is the coefficient of proportionality.
This dependence and equal magnitude of anodic and cathodic currents
indicate that the redox couple K3Fe(CN)6 behaves
reversibly under the diffusion-controlled process described with the
Randles–Sevcik’s equation,[48]where ip is the
peak current (in amps), D is the diffusion coefficient
in cm2/s, F = 96485 C/mol is the Faraday
constant, n is the number of electrons (n = 1 for a single-electron process), A is the electrode
surface area (cm2), C is the analyte concentration
(mol/cm), R = 8.31446 J/(K mol) is the gas constant, v is in V/s, and T is the temperature.In
the analysis, we take into account the data obtained in three different
trials and fit the dependence of the peak current vs rate with the
following slopes:For the flat
electrode in dark and light, respectively:
αdarkflat = 4.7 ± 0.2 mA/(mV1/2 s−1/2),
αlightflat = 7.6 ± 0.2 mA/(mV1/2 s−1/2)For nanomesh: αdarknano = 2.4 ±
0.1 mA/(mV1/2 s−1/2) and αlightnano = 6.5 ±
0.2 mA/(mV1/2 s−1/2)A 2-fold difference is observed between dark values for the
flat
and nanostructured systems. Assuming that other parameters are the
same in both cases, it can be ascribed to the difference in the effective
surface area: the working area in the nanomesh electrode is less than
that in the flat gold of the same size, due to the porous structure
of our nanostructure (“filling factor” of nanomesh of
around 50%[24,49]).The light-induced changes
in slopes are much stronger in the nanostructured
system.Let us now analyze the position
of the peaks,
their shift as the function of the sweep rate, and the effect of light
illumination. At low rates, the oxidation and reduction peaks are
well-defined, and their positions stay practically unchanged. We use
the data at low v to estimate the standard electrode
potential, as the average between the positions of oxidation, Eox, and reduction, Er, peaks, E0 = 1/2(Eox + Er), see Figure a,b. Under illumination, E0 slightly increases for both substrates.The peak-to-peak separation, ΔEp, is an important factor, which can be used for characterizing the
performance of an electrode material and estimating HET rates. Generally,
low values of ΔE correspond to reversible reactions
with fast reaction kinetics. The electrochemical response of our electrodes
presented in Figure c,d reveals relatively large ΔEp, indicating slow and unfavorable HET kinetics. The values of ΔEp increase with the increase in the rate, which
is common for electrochemical systems and associated with the modulation
of faradic currents with increase in sweep rates. Light illumination
reduces peak separations for both systems and all sweep rates, which
indicates faster kinetics.For estimation of the HET rate, we
employ the Nicholson method,[44,50−53] which involves calculations of the kinetic parameter ψ defined
asThis parameter ψ[45] can be found
from the CV data aswhere X = ΔEp.
In Figure e,f, the
parameter ψ estimated for each sweep
rate is plotted as the function of v. According to eq , the slope of this dependence is linearly proportional
to the HET rate,Estimations for our experiments
yield (the
indexes indicate the particular case)βdarkflat = 1.05 ± 0.5 mV1/2/s1/2, βlightflat = 2 ±
0.5 mV1/2/s1/2βdarknano = 1.2 ± 0.15 mV1/2/s1/2 and
βlightnano = 1.4 ± 0.1 mV1/2/s1/2The diffusion coefficients for Fe(CN)6 3–/4– at oxidation and reduction are correspondingly D0 = 4.4 × 10–5 cm2/s
and DR = 5.4 × 10–5 cm2/s at room temperature.[44] Assuming that in dark in both flat and nanostructured systems, all
parameters entering eqs –4 are the same, and using D = 0.5(D0+ DR), the HET rate in flat gold can be estimated as kflat0dark =0.0024
± 0.0002 cm/s. The HET rate in nanomesh is in the same range, knano0dark = 0.0027 ± 0.0002 cm/s.Under light illumination, the
slope β grows almost 2-fold
in the flat system (Figure e), while in the nanomesh system, the change is not that significant, . Let us take into account
that the Nicholson
parameter ψ, eq , is determined by both the HET rate and charge transport kinetics
in the solution, which is assumed to be associated with the diffusion.
Let us assume that the kinetic factor that enters eq as (D/RT)1/2, and eq as (D/RT)−1/2, is changed by light, for example, due to photoinduced heating of
the electrode. According to[40,54] for the gold film of
40 nm thick, absorption at 589 nm is 10%, while for gold nanomesh,
it is of about 30–40%. Thus, the effects associated with light
illumination (for example, photoinduced heating) are expected to be
stronger in nanomesh than in flat gold. This is consistent with photoinduced
changes in peak currents, which are higher in nanomesh than in flat
gold (eqs and a correspondingly).Combining eqs and 5, photoinduced changes in HET rates can be estimated
asThus, the photoinduced acceleration of electron
transfer is significant and is of the same order in both nanostructured
and flat gold systems. At the same time, photoinduced changes in peak
currents are much stronger in the vicinity of gold nanomesh in comparison
with the flat electrode.Which mechanisms are responsible for
modifications of chemical
reactions in the nanostructured and plasmonic environment, this is
the subject of many scientific discussions. Different models are discussed
involving generation of hot electrons,[25−30] modification of surface charges,[40] significant
local electric effects[55−57] associated with high optical fields and high gradients
of optical fields, and photoinduced heating.[58]The photoinduced heating can be a factor. Let us roughly estimate
possible heating in our experimental conditions. Considering the predominant
channel of the heat transfer from the illuminated spot (with the diameter a = 5 mm) to the solution (with the thermal conductivity, cw = 0.6 W/mK) and then to the cuvette walls
(d = 2 cm away). We take into account that at distances x ≪ a from the surface, heat flow
is mostly perpendicular to the surface, while at larger distances,
it becomes isotropic. For a very rough estimation, the thermal resistance
can be estimated asAssuming ambient temperature
for cuvette walls
and the absorbed power with the account of reflection, P = 9.5 mW in the flat gold sample, the estimations yield, ΔT = 6.40 in flat gold and up to 3-fold higher
in nanomesh. The increased temperature can be partially responsible
for accelerated diffusion.[59−62] Commonly, the diffusion does not strongly depend
on temperature;[59] however, depending on
particular ions and the electrolyte, the effect of heating can be
noticeable.[60,62] As an example, in ref (62), the diffusion coefficients
of ferrocene/ferricenium in ammonium–imide ionic liquids show
2-fold increase upon the temperature change from 298 to 323 K, while
HET rates change only by 20%.[62]Our
results (in particular, 3-fold change in HET rates) show that
the response in charge transport kinetics to the light illumination
is stronger than it can be expected solely from the heating. This
may indicate a presence of a different mechanism associated with photoexcitation
(such as hot electron emission or charging effects). However, note
that our rough estimations made above assume a perfect thermal contact
between electrodes and the solution. In reality, a temperature difference
between the illuminated electrode and solution may result in a significant
thermal gradient formed over the double layer; this may be another
factor for consideration. Further studies are planned to elucidate
the origin of the modifications observed.
Conclusions
In
conclusion, the cyclic voltammetry method is employed to study
possible modifications in the electrochemical reaction in a nanostructured
plasmonic environment with and without light illumination in the plasmon
resonance range. The CV curves are strongly altered under light illumination,
and the effect of light on the magnitude of currents is much stronger
in the nanostructured system than that in flat gold. The analysis
of the charge-transfer rate with the Nicholson method shows that in
both systems photoexcitation leads to significant growth of HET rates.
Estimations show that effects are stronger than it can be expected
solely from the photoinduced heating of the solution.
Authors: M A Noginov; H Li; Yu A Barnakov; D Dryden; G Nataraj; G Zhu; C E Bonner; M Mayy; Z Jacob; E E Narimanov Journal: Opt Lett Date: 2010-06-01 Impact factor: 3.776
Authors: Anthony J Hoffman; Leonid Alekseyev; Scott S Howard; Kale J Franz; Dan Wasserman; Viktor A Podolskiy; Evgenii E Narimanov; Deborah L Sivco; Claire Gmachl Journal: Nat Mater Date: 2007-10-14 Impact factor: 43.841
Authors: C Belacel; B Habert; F Bigourdan; F Marquier; J-P Hugonin; S Michaelis de Vasconcellos; X Lafosse; L Coolen; C Schwob; C Javaux; B Dubertret; J-J Greffet; P Senellart; A Maitre Journal: Nano Lett Date: 2013-03-12 Impact factor: 11.189
Authors: Shaunak Mukherjee; Florian Libisch; Nicolas Large; Oara Neumann; Lisa V Brown; Jin Cheng; J Britt Lassiter; Emily A Carter; Peter Nordlander; Naomi J Halas Journal: Nano Lett Date: 2012-12-05 Impact factor: 11.189
Authors: Ting Xu; Erich C Walter; Amit Agrawal; Christopher Bohn; Jeyavel Velmurugan; Wenqi Zhu; Henri J Lezec; A Alec Talin Journal: Nat Commun Date: 2016-01-27 Impact factor: 14.919