Cynthia Vidal1, Dong Wang2, Peter Schaaf2, Calin Hrelescu1, Thomas A Klar1. 1. Institute of Applied Physics, Johannes Kepler University Linz , 4040 Linz, Austria. 2. Institute of Materials Engineering and Institute of Micro- and Nanotechnologies MacroNano, Technische Universität Ilmenau , 98693 Ilmenau, Germany.
Abstract
The search for novel plasmonic nanostructures, which can act simultaneously as optical detectors and stimulators, is crucial for many applications in the fields of biosensing, electro- and photocatalysis, electrochemistry, and biofuel generation. In most of these areas, a large surface-to-volume ratio, as well as high density of active surface sites, is desirable. We investigate sponge-like, that is, fully porous, nanoparticles, called nanosponges, where both the gold and the air phase are fully percolated in three dimensions. We correlate, on a single nanoparticle basis, their optical scattering spectra (using dark field microscopy) with their individual morphology (using electron microscopy). We find that the scattering spectra of nanosponges depend only weakly on their size and outer shape, but are greatly influenced by their unique percolation, in qualitative agreement with numerical simulations.
The search for novel plasmonic nanostructures, which can act simultaneously as optical detectors and stimulators, is crucial for many applications in the fields of biosensing, electro- and photocatalysis, electrochemistry, and biofuel generation. In most of these areas, a large surface-to-volume ratio, as well as high density of active surface sites, is desirable. We investigate sponge-like, that is, fully porous, nanoparticles, called nanosponges, where both the gold and the air phase are fully percolated in three dimensions. We correlate, on a single nanoparticle basis, their optical scattering spectra (using dark field microscopy) with their individual morphology (using electron microscopy). We find that the scattering spectra of nanosponges depend only weakly on their size and outer shape, but are greatly influenced by their unique percolation, in qualitative agreement with numerical simulations.
Due to their
fascinating plasmonic
properties, noble metal nanoparticles have been actively studied over
the last decades,[1] down to the single nanoparticle
level.[2,3] The inherent shape and size dependence of
their optical resonance frequency allows for spectral fine-tuning
of the plasmon resonance or for creating plasmonic hotspots.[4−7] The manipulation of the plasmon resonance over a broad spectral
range has become very important whenever plasmonic nanostructures
are used in photonics, optoelectronics, bioanalysis, or biodiagnostics.[8−10] However, it turns out that, for many applications, most of the noble
metal nanoparticles, which are commonly used for nanoplasmonics, do
not exhibit simultaneously all the desirable properties, such as multiple
plasmon resonances in the visible or NIR range of the spectrum, a
high surface-to-volume ratio, and a high density of catalytic sites.Specifically, for applications of noble metal nanostructures in
the field of biosensing, a high surface-to-volume ratio together with
multiple plasmon resonances in the visible or NIR range of the spectrum
are crucial, for instance for surface-enhanced Raman scattering[11] or surface-enhanced IR spectroscopy.[12] Using conventionally shaped nanoparticles, a
large surface-to-volume ratio can only be achieved for small particle
sizes. This, however, raises two major problems: first, small nanoparticles
(below 15 nm diameter) do not show a pronounced plasmon resonance
because of a diminishing cross section, and second, a large surface-to-volume
ratio heavily damps the plasmon resonance.[1] Only recently, research on complex-shaped nanoparticles such as
nanostars[13] with large scattering cross
sections but also an enlarged surface-to-volume ratio has started.In this article, we investigate sponge-like gold nanoparticles
that consist of gold and air filaments with dimensions between 15
and 25 nm, which are both fully percolated throughout the nanosponge.
Two-dimensional nanoporous Au thin films have already been studied,[14] since they enable many catalytic and electrochemical
applications.[15,16] Moreover, Au nanoporous membranes
sustain both localized and propagating surface plasmon resonances.[17] In two dimensions, the plasmonic properties
can be controlled via the membrane porosity.[18] While two dimensionally percolated metallic films are well studied,
three dimensionally (3D) percolated nanoparticles are by far less
well studied. Recently, efforts have been devoted to the fabrication
and optical characterization of solid metal nanoparticles with surface
dents[19] or of porous metallic shells.[20,21] Fully porous metallic nanoparticles have been produced,[22,23] however, the optical properties of individual nanosponges have not
been investigated so far. Specifically, in the case of three-dimensionally
percolated nanosponges, the investigation of optical spectra on the
single nanosponge level is of utmost importance because each nanosponge
possesses a unique, fully mesoporous structure. Hence, we correlate
the optical scattering spectra (obtained by dark field spectroscopy)
with the morphology of individual nanosponges (obtained by electron
microscopy) and we find that the scattering spectra of nanosponges
depend very much on their individual, fully percolated structure.
Results
and Discussion
Morphology of the Nanosponges
The
nanosponges were
fabricated via dewetting/dealloying of a silver–gold (Ag–Au)
bilayer as reported previously.[22] Briefly,
one silver layer and one gold layer are deposited on a silicon wafer
covered with silica. Annealing leads to dewetting and to the formation
of Ag–Au alloy nanoparticles. The nanoparticles consist of
well-mixed gold and silver. Submersion into a solution of nitric acid
removes the silver, while the gold forms percolated filaments. The
ligament size depends on Ag concentration in the Au–Ag alloy
(or layer thickness ratio of the Ag and Au thin films before dewetting)
as well as concentration and temperature of the HNO3 solution.
However, reproducibility (mean particle size, particle size distribution,
ligament size) is good if all experimental parameters remain the same.
The percolated gold filaments provide a surface area around 105 m2/g.[22]SEM images of three-dimensionally
Au–air percolated nanosponges.
(a) Nanosponges on a SiO2/Si substrate. (b) Single nanosponge
after transfer onto an ITO substrate. (c–e) Cross sections
after subsequent FIB milling of the nanosponge in (b), protected by
a platinum (Pt) layer.Figure a
presents
a scanning electron microscope (SEM) image of a few nanosponges on
a silica/silicon (SiO2/Si) substrate with approximately
1.2 × 1010 nanosponges on a 4 in. wafer. Histograms
of the nanosponges’ diameter and autocorrelation functions
of nanosponges on a silicon wafer are presented in Figure S1 in the Supporting Information. In order to perform single
particle spectroscopy, the nanosponges were transferred from the original
SiO2/Si substrate onto a transparent tin-doped indium oxide
(ITO) substrate, which was prepatterned with a chess board like coordinate
system. This coordinate system allowed us to locate individual nanosponges
in the SEM and in the dark field microscope in order to correlate
morphology and single nanoparticle scattering spectra. A typical Au
nanosponge on an ITO substrate is shown in Figure b. In this particular case, the particle’s
surface exhibits a mesoporous topology with Au filaments of approximately
22 ± 5 nm in diameter separated by 18 ± 5 nm air holes (Figure a,b). For more details,
see the Experimental Section.
Figure 1
SEM images of three-dimensionally
Au–air percolated nanosponges.
(a) Nanosponges on a SiO2/Si substrate. (b) Single nanosponge
after transfer onto an ITO substrate. (c–e) Cross sections
after subsequent FIB milling of the nanosponge in (b), protected by
a platinum (Pt) layer.
In order
to reveal the interior structure of the nanosponges, they
were sliced by focused ion beam (FIB) milling. A protective, conductive
platinum (Pt) layer of several hundred nanometers was first deposited
atop the Au nanosponge to prevent its disaggregation or damage by
the FIB. The ion beam was then focused perpendicularly to the substrate
and milled the protective layer, nanosponge and substrate in a raster
pattern. The particle’s cross sections were imaged after each
milling step by SEM, which was tilted under 54° with respect
to the FIB stage. Figure c–e shows SEM images of the internal structure of the
Au nanosponge from Figure b after three consecutive milling steps. Each cross section
reveals that the nanosponge exhibits a porous Au–air arrangement,
with a similar porosity (Au–air filaments size), as observed
on the surface of the particle, within and throughout its entire volume.
White-Light Scattering Spectra of Single Nanosponges
In
order to investigate the influence of the 3D Au–air percolation
on the optical properties, white-light scattering spectra of single
nanosponges were measured. First, the exact location of an individual
Au nanosponge on the ITO substrate was pinpointed by SEM imaging with
the help of the coordinate system, and afterward, the scattering spectrum
of the same individual Au nanosponge was recorded using dark field
spectroscopy.[24]Figure a–d shows SEM images
(left) of spheroidal Au nanosponges and their corresponding scattering
spectra (right). For the time being, unpolarized light was used for
illumination, and no polarizer was applied in front of the detector.
The SEM images show that the nanosponges have quite similar sizes
(between 195 and 230 nm) and porosity (20 ± 5 nm diameter Au
filaments and 22 ± 5 nm air holes). The nanosponge in Figure a has a diameter
of 195 nm and a scattering maximum at 790 nm and the nanosponge in Figure b measures 215 nm
in diameter and exhibits a scattering maximum at 825 nm. The nanosponge
in Figure c has an
elliptic cross section with dimensions of 210 and 230 nm along the
principal axes and a scattering maximum at 900 nm, while the nanosponge
in Figure d has a
diameter of 195 nm and a scattering maximum at 905 nm. Remarkably,
the Au nanosponges presented in Figure a and d both measure 195 nm in diameter but have very
different scattering maxima at 790 and 905 nm, respectively. Additional
examples for the correlation of the morphology of individual nanosponges
with corresponding unpolarized scattering spectra are presented in
the Supporting Information, Figure S2.
Figure 2
(a–d)
SEM images of individual nanosponges (diameter ca.
200 nm; left) and corresponding scattering spectra (right). Particles
with comparable size and porosity show distinctly different scattering
spectra because of their specific inner structure. (e) SEM image of
a solid Au nanoparticle (diameter ca. 200 nm; left) and corresponding
scattering spectra (right).
(a–d)
SEM images of individual nanosponges (diameter ca.
200 nm; left) and corresponding scattering spectra (right). Particles
with comparable size and porosity show distinctly different scattering
spectra because of their specific inner structure. (e) SEM image of
a solid Au nanoparticle (diameter ca. 200 nm; left) and corresponding
scattering spectra (right).The dark field measurements in Figure a–d illustrate that, compared to solid
spherical Au nanoparticles of similar size (Figure e),[1,25,26] the scattering of the Au nanosponges is red-shifted. A similar behavior
was observed for the extinction spectra of Au nanoparticles with dents
on the surface[19] or roughened Au shells[20] in ensemble averaged measurements. Nevertheless,
our results clearly show that, even though the four Au nanosponges
in Figure a–d
have similar diameters (205 ± 10 nm) and a similar porosity,
that is, Au ligament sizes, their scattering maxima are positioned
at notably different wavelengths. This behavior contrasts with that
of solid Au nanospheres and indicates that the Au nanosponges scatter
mainly independently of the shape of their envelope and their diameter.
Therefore, the scattering spectra are unique to each nanosponge, a
fact that would have been hidden by ensemble measurements. It implies
that the specific 3D Au/air percolation pattern is responsible for
the individual optical properties of each nanosponge.
Polarization-Dependent
Scattering Spectra of Single Nanosponges
Next, we concentrate
on polarization-dependent scattering spectra
of individual Au nanosponges. The illumination was unpolarized, but
a linear polarizer was inserted in front of the spectrometer. Figure shows the SEM images
(left) and the corresponding polarization-dependent scattering spectra
(right) of a 195 nm Au nanosponge (Figure a) and a 220 nm Au nanosponge (Figure b), both having a spheroidal
shape. The polarizer axis was rotated clockwise in 20° steps,
but for clarity the spectra are presented in 40° polarization
steps. The double arrows in the SEM images represent the 0° direction
of the polarizer axis for the corresponding dark field measurement.
The complete data set with 20° polarization stepping as well
as examples of additional nanosponges are shown in the Supporting Information, Figure S2.
Figure 3
SEM images
(left) and polarization-dependent scattering spectra
(right) of (a) a 195 nm nanosponge and (b) a 220 nm nanosponge. The
double arrows in the SEM images represent the 0° polarization
axis. The polarizer axis was rotated clockwise in 20° steps but,
for clarity, only 40° steps are shown here.
SEM images
(left) and polarization-dependent scattering spectra
(right) of (a) a 195 nm nanosponge and (b) a 220 nm nanosponge. The
double arrows in the SEM images represent the 0° polarization
axis. The polarizer axis was rotated clockwise in 20° steps but,
for clarity, only 40° steps are shown here.The polarization-dependent scattering spectra of the smaller
Au
nanosponge in Figure a reveals three maxima at approximately 700, 800, and 900 nm. The
maxima at 700 and 800 nm keep roughly the same intensity for each
polarization direction, whereas the peak at 900 nm reaches a maximum
intensity for 0° polarization and a minimum for 80° polarization.The polarization-dependent scattering spectra of the larger Au
nanosponge in Figure b exhibits four maxima at approximately 700, 820, 890, and 920 nm.
The peak at 700 nm shows a maximum intensity for 80° polarization
and a minimal intensity for 0° polarization. The peak at 890
nm has its maximum intensity at 0° polarization and splits into
two peaks at 820 and 920 nm for 80° polarization. Both peaks
reach their minimum intensity for 120° polarization. Each nanosponge
exhibits unique polarization-dependent scattering spectra, although
both show a similar degree of porosity and similar shape and diameters.
More examples are shown in Figure S3 in
the Supporting Information.Figure clearly
shows that, even though the nanosponges have the same size and average
porosity, individual spheroidal nanosponges exhibit different polarization-dependent
scattering spectra. The exact arrangement of the Au and air filaments
within the nanosponges is specific for each nanosponge. This unique
random and inhomogeneous distribution of the Au filaments in the volume
of the nanosponge is the origin of the anisotropy inducing the individual
polarization-dependent scattering spectra. The polarization-dependent
spectra in Figure reveal multiple maxima at several distinct wavelengths, which we
attribute to multiple plasmonic contributions arising from localized
plasmon resonances of the Au filaments and coupling between these
resonances throughout the nanosponge. Similar behavior was observed
on porous Au thin films.[27] The observed
optical response of the Au nanosponges seems to depend on the interaction
of several locally excited plasmonic modes that can be decomposed
via polarization.[28] Such interpretation
explains the spectrally broad resonances and the diverse scattering
responses of the Au nanosponges in the unpolarized measurements (Figures ) as well as the
multiple plasmonic resonances observed in the polarization-dependent
measurements (Figure ). Notably, it also means that the plasmonic eigenmodes of each nanosponge,
underlying the overall spectra, are sharper than the polarization-averaged
response. Such sharp resonances are a strong hint that losses are
indeed not very pronounced, despite a large surface-to-volume ratio,
which is prone to induce surface damping effects.[1] However, the fact that the scattering peaks fluctuate upon
tuning the polarizer indicates that it is not possible to consider
individual nanosponges as a homogeneous effective (meta)material with
a well-defined dielectric constant.
Numerical Modeling of Single
Nanosponges
In order to
underline our experimental findings on the percolation-dependent optical
properties of the Au nanosponges, three-dimensional finite difference
time domain (FDTD) calculations were performed. Here, we have used
the commercially available FDTD solver from Lumerical Solutions Inc.
Since numerical modeling of a 3D percolation pattern of a specific
nanosponge would be extremely difficult in terms of computational
efforts and is practically impossible, as even a FIB crosscut would
hardly give the exact inner pattern, we restricted ourselves to a
simpler model. In order to mimic the experimental conditions best
as possible, the nanosponges were emulated as Au half-spheres (compare Figure c) on an ITO substrate
with a diameter of 195 nm, similar to the nanosponges in Figures d and 3a. For the excitation, a plane wave with the same spectral
bandwidth as in the experiments was used. Furthermore, the Au half-spheres
are perforated by randomly distributed air spheres. In the SEM images,
the so-called edge effect leads to an increased secondary electron
emission from the metallic filaments,[29] thus, the diameter of the air holes, as they appear in the SEM images,
is underestimated. Considering this, we set the diameter of the air
holes to 24 nm in the simulations. The air spheres are allowed to
overlap by 20% in all directions. This allows for the formation of
air filaments that reach throughout the nanosponge, so that the modeled
nanosponges are suitable imitations of 3D Au–air percolation.A total number of 146 air spheres distributed randomly through
the whole Au half-sphere was chosen under two considerations: first,
the number of spheres on the Au half-sphere surface is 76, which is
the average number of air holes visible in the SEM images of individual
nanosponges, and second, the air–Au volume ratio is between
40 and 50%, depending on the individual random distribution of the
air spheres. Similar volume ratios can be deduced from the FIB crosscuts
(Figure c–e).
By using a random generator, we ensure that the distribution of the
air spheres throughout the whole nanosponge is different in each run
of simulation, while the rest of the simulation parameters are kept
the same. In order to investigate the dependence of scattering spectra
on the unique percolation of the nanosponges, we performed calculations
for several model nanosponges, that is, several different random distributions
of the air spheres. Several examples of calculated unpolarized scattering
spectra of individual nanosponges as well as the calculated spectrum
of a solid gold half-sphere can be found in the Supporting Information, Figure S3. In the main text, we would
like to proceed directly to polarized illumination.Figure a displays
the schematics of the model nanosponge (left) and the calculated scattering
spectra (i.e., scattering cross section) for a normal incident plane
wave excitation and different incident polarizations (right). For
clarity, we only show polarizations rotated in 40° steps (see Figure S4a in the Supporting Information for more incident polarization directions).
Figure 4
Numerical modeling of
single nanosponges: Schematics of the model
nanosponges (left) and the calculated scattering spectra (i.e., scattering
cross section) for normal incident plane wave excitation and different
incident polarizations (right). The nanosponges were modeled as gold
half-spheres of 195 nm in diameter on an ITO substrate and are perforated
by randomly distributed air spheres of 24 nm in diameter. (a) Nanosponge:
the air spheres are distributed randomly throughout the whole gold
half-sphere. (b) Nanoparticle with surface dents only: the air spheres
are distributed only on the surface of the gold half-sphere, but the
interior is solid gold. (c) Nanoparticle with porous interior: the
air spheres are distributed only in the interior of the gold half-sphere,
while the surface is smooth.
Comparing the calculated scattering spectra from Figure a with the measured scattering
spectra in Figure , one immediately observes that multiple maxima at several distinct
wavelengths as well as polarization-dependent scattering spectra are
qualitatively reproduced in the calculations.Numerical modeling of
single nanosponges: Schematics of the model
nanosponges (left) and the calculated scattering spectra (i.e., scattering
cross section) for normal incident plane wave excitation and different
incident polarizations (right). The nanosponges were modeled as gold
half-spheres of 195 nm in diameter on an ITO substrate and are perforated
by randomly distributed air spheres of 24 nm in diameter. (a) Nanosponge:
the air spheres are distributed randomly throughout the whole gold
half-sphere. (b) Nanoparticle with surface dents only: the air spheres
are distributed only on the surface of the gold half-sphere, but the
interior is solid gold. (c) Nanoparticle with porous interior: the
air spheres are distributed only in the interior of the gold half-sphere,
while the surface is smooth.The fact that nanoparticles with the same diameter show different
scattering spectra (cf. Figure a,d) and that the scattering spectrum of a spherical nanosponge
is highly sensitive to the polarization (Figure ) might also be explained by a pure surface
roughness of nanoparticles with dents. Therefore, we calculated the
polarization-dependent scattering spectra for the same geometry, a
gold half-sphere of 195 nm diameter on an ITO substrate. However,
in contrast to the previous model (Figure a), the air spheres are now distributed only
on the surface of the Au half-sphere, thus, forming surface dents,
while the interior of the nanoparticle is solid gold, as sketched
in Figure b (left).
Furthermore, for a fair comparison with the previous case in Figure a, we kept the exact
same distribution of 76 air spheres on the surface of the Au half-sphere
and deleted only the air spheres previously distributed in the interior
of the Au half-sphere. The corresponding polarization resolved scattering
cross sections are shown in Figure b (right). The presented numerical spectra in Figure b exhibit rather
low sensitivity to polarization. Therefore, one can conclude that
the optical properties of nanosponges are not dominated by their surface
structure. Next, we also computed the polarization-dependent scattering
spectra for a smooth Au half-sphere surface with a porous interior,
as sketched in Figure c (left). In this model, all air spheres that connect to the surface
were deleted, while the distribution of air spheres in the interior
of the Au half-sphere is identical to the distribution used in the
model in Figure a. Figure c (right) displays
the corresponding scattering cross sections. Again, the calculated
spectra exhibit rather low sensitivity to polarization compared to
the case of a full 3D percolation (for even more incident polarizations
and additional examples see Supporting Information, Figures S6 and S7). Therefore, we conclude that the strong
polarization dependence of the scattering spectra observed in the
experiments is neither purely caused by the surface dents nor solely
caused by the porous interior of the nanosponges. The experimental
findings can only be qualitatively reproduced by simulations when
the surface dents together with the porous interior are forming air
channels or filaments that connect to the surface and penetrate throughout
the whole interior. In order to illustrate this, the distributions
of field enhancement at wavelengths corresponding to the different
maxima of the polarization-dependent scattering spectra were calculated.Figure shows the
distribution of the field enhancement inside and outside of the nanosponge
from Figure a calculated
for 0° and 90° incident polarization. Precisely, it shows
the absolute value of the local field, E, compared to
the incoming field E. The
field distribution was evaluated at wavelengths corresponding to the
different scattering maxima indicated by the arrows in Figure a, namely, at 717, 762, 832,
and 893 nm. For a better visualization of the field distributions,
three cross-cuts through the nanosponge are shown, denoted as x–z, y–z, and x–y planes.
As sketched in Figure , the x–z and y–z planes are cross-cuts through the center
of the nanosponge in the x or y direction
perpendicular to the substrate, respectively. The x–y cut is 20 nm above the ITO substrate.
The distribution of the hot spots, that is, where the field is highest,
is varying for different wavelengths and polarization directions.
Figure 5
Calculated field enhancement distributions inside
the nanosponge
from Figure a for
0° (a) and 90° incident polarization (b) evaluated at the
plasmon resonances indicated by the red arrows in Figure a. The planes of the cross-cuts
are sketched in the upper panels. The x–z and y–z planes
are perpendicular to the substrate and intersect the nanosponge at
its center, while the x–y plane is 20 nm above the nanosponge center and parallel to the substrate.
The black arrows indicate the incident polarization.
The simulated field enhancements in Figure , specifically those for the longer wavelengths,
look basically similar to plasmonic modes of homogeneous nanoparticles;
however, they are heavily disturbed by the inner structure of the
nanosponges. For instance, in the case of 0° polarization and
893 nm emission, the field is enhanced at the two opposing surfaces,
as can be seen in the upper left area and the lower right area of
the (x,y) cut, in correspondence
to the direction of the polarization (see double arrow), and there
exists a nodal plane perpendicular to it. Notably, however, there
are many hot spots of enhanced fields throughout the interior of the
nanosponge. In the case of 90° rotated polarization (but still
considering the wavelength of 893 nm), the distribution of hot spots
is less symmetric in the (x,y) cut
than that at 0° polarization. While in the case of 0° polarization,
the hot spots in the upper left and lower right area are of comparable
intensity and density; in the case of 90° polarization, the lower
left area contains more hot spots that are also, on average, more
intense than the hot spots in the upper right area. Hence, at 893
nm, the 0° polarization induces a more dumbbell-shaped distribution
of hot spots, which apparently couple more strongly to the scattered
field than in the case of 90° polarization. This is apparent
in Figure a, where
the scattered intensity at 893 nm is much stronger for 0° polarization
than for 90° polarization. A possible explanation could be that
the 0° polarization plasmon contains more dipole character, which
couples effectively to propagating light, while the more asymmetric
distribution in the case of 90° polarization couples less, and
indeed, the scattering at 893 nm is weaker in the case of 90°
polarization than in the case of 0° polarization, cf. Figure a.In the case
of 717 nm, the overall field distribution does show
a higher order symmetry, as it is expected for a shorter wavelength
resonance. However, it is very difficult to assign a specific symmetry
due to the multiple individual hot spots. With great caution, one
might interpret the pattern as a heavily disturbed quadrupolar or
even higher order resonance, which is nevertheless allowed to couple
to propagating fields via mediation of the hot spots within the nanosponges.
Notably, it is apparent that the distribution and the intensity of
the hot spots are similar for both orthogonal polarizations. Hence,
one would expect a similar coupling to propagating fields and, indeed,
the scattering intensity at 717 nm, which is shown in Figure a, is similar for each polarization.
The resonances at 832 and 762 nm are probably other interferences
of an overall nanoparticle plasmon and internal plasmonic resonances.
Again, one observes that the more symmetric distributions of hot spots
in the case of 0° polarization tend to a stronger coupling to
the scattered field than the less symmetric distributions in the case
of 90° polarization.Calculated field enhancement distributions inside
the nanosponge
from Figure a for
0° (a) and 90° incident polarization (b) evaluated at the
plasmon resonances indicated by the red arrows in Figure a. The planes of the cross-cuts
are sketched in the upper panels. The x–z and y–z planes
are perpendicular to the substrate and intersect the nanosponge at
its center, while the x–y plane is 20 nm above the nanosponge center and parallel to the substrate.
The black arrows indicate the incident polarization.
Conclusion
In summary, we have shown
that the optical properties of nanosponges
are strongly influenced by their unique 3D Au–air percolation
pattern. Slicing the Au nanosponges using FIB milling showed that
they are truly three-dimensionally mesoporous. The experimentally
and numerically investigated scattering spectra of individual Au nanosponges
yield that their optical behavior is mostly independent of their diameter,
outer shape, and surface roughness, but strongly dependent on their
exact and unique three dimensionally percolated structure. Indeed,
the inhomogeneity and anisotropy of the hot spots observed in the
simulation as well as the polarization dependence of the scattering
spectra show that it is not possible to consider a single Au nanosponge
as an isotropic effective medium. These findings suggest that the
observed scattering spectra correspond to dipolar, as well as higher
order modes, substantially disturbed by locally excited plasmonic
modes that couple throughout each nanosponge. The plasmonic properties
of the nanosponges, in combination with their large surface-to-volume
ratio, may bring substantial advantages for applications such as in
surface-enhanced Raman scattering (SERS),[11] surface-enhanced infrared spectroscopy (SEIRA),[12] or the possible use of nanosponges in photo- and electrocatalysis,[30,31] the generation of biofuel[32] or steam[33] or as nanoscale electrodes in electrochemistry.[34]
Experimental Section
Morphology and Inner Structure
Characterization
The
SEM images and the FIB milling were performed with a ZEISS 1540XB
CrossBeam. The secondary electron (SE) detector was used for the SEM
images. In order to avoid damaging of the nanosponges and to obtain
the best possible surface structure images, the working distance was
10 mm and the acceleration voltage was 5 kV. The instrumental settings
were the best feasible compromise between reasonable material and
topographic contrast and resolution.For the estimation of the
size of the gold filaments and air holes of a particular nanosponge,
the SEM images were analyzed with the free software Gwyddion.[35] Considering the so-called edge effect,[29] which leads to an increased secondary electron
emission from the Au filaments, the Au filaments appear much bigger
in the SEM images than they really are, hence, the real size of the
air holes is obscured. In order to derive the dimensions of the gold
filaments and of the air holes, we analyzed the secondary electron
intensities along a line comprising several Au filaments and air holes.
For the Au filaments, we defined the diameter as the distance between
the two points along the line which show equally strong secondary
electron emission with an intensity of half the maximal secondary
electron emission intensity of the gold filaments. The dimensions
of the air holes were derived similarly, but the considered distance
was the distance between points along the line, which had equally
strong secondary electron emission with intensity of half the minimal
secondary electron emission intensity.
Optical Characterization
The samples were studied on
an inverted dark field microscope, which allows recording of white
light scattering spectra from single particles on a spectrometer (Acton
SpectraPro SP2150) equipped with a Peltier cooled charge-coupled device
camera (Andor IDus). A halogen microscopy lamp (150 W) without an
IR filter was used for excitation. The scattering spectra were corrected
for background, instrument response function, and the excitation source
spectrum.
Numerical Modeling
The scattering cross section of
the nanosponges were calculated using the commercial software FDTD
Solutions (version 8.9.269) from Lumerical Solutions Inc., which provides
a 3D Maxwell equation solver based on Finite-Difference Time-Domain
method (FDTD). The simulated nanosponges consist of a Au half-sphere
(diameter 195 nm) perforated by randomly distributed air spheres of
24 nm diameter on an ITO substrate in air. A random generator script
was used to distribute 146 air spheres in such a way that the 3D percolation
could be mimicked best achievable. Therefore, we defined four concentric
half-sphere surfaces on which a particular number of air spheres is
randomly distributed. The first half-sphere surface in the stack is
the outer surface of the Au half-sphere. The radii of the individual
half-spheres defining the other three surfaces within the stack were
chosen in such a way that air spheres distributed on two adjacent
half-sphere surfaces may overlap by 20%. The air spheres on the same
half-sphere surface were allowed to overlap by 20% as well. This allows
for the formation of air filaments that reach throughout the nanosponge.
The random seed generator was reset based on the system time (clock
time) for each sphere distribution on a specific half-sphere surface.
Furthermore, we ensured that 76 air spheres, the average number of
the air holes visible in the SEM images of individual nanosponges,
were distributed on the Au half-sphere surface. In the modeling, the
permittivity of gold was obtained by a generalized multicoefficient
fit of the permittivity of bulk gold according to Johnson and Christy.[36] The substrate was modeled as a 100 nm thick
ITO film on glass. The glass is covering one-half-space of the simulation
volume. The Total Field/Scattered Field (TFSF) source implemented
in the software was used as excitation source. The excitation direction
was vertically incident to the substrate from the air half-space of
the simulation volume. For the permittivity of ITO, a FDTD multicoefficient
fit to the data from ref (37) was used.
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