)
Mark W. Knight,†,^,# Nicholas S. King,‡,^,# Lifei Liu,‡,^ Henry O. Everitt, Peter Nordlander,†,‡,^ and
Naomi J. Halas†,‡,§,^,*
Department of Electrical and Computer Engineering, ‡Department of Physics and Astronomy, §Department of Chemistry, and ^Laboratory for Nanophotonics,
Rice University, Houston, Texas 77005, United States and Charles Bowden Research Lab, Army Aviation & Missile RD&E Center, Redstone Arsenal, Alabama 35898,
United States, and Department of Physics, Duke University, Durham, North Carolina 27708, United States. #These authors contributed equally.
)
†
ARTICLE
Aluminum for Plasmonics
ABSTRACT Unlike silver and gold, aluminum has material properties
that enable strong plasmon resonances spanning much of the visible region
of the spectrum and into the ultraviolet. This extended response, combined
with its natural abundance, low cost, and amenability to manufacturing
processes, makes aluminum a highly promising material for commercial
applications. Fabricating Al-based nanostructures whose optical properties
correspond with theoretical predictions, however, can be a challenge. In
this work, the Al plasmon resonance is observed to be remarkably sensitive
to the presence of oxide within the metal. For Al nanodisks, we observe
that the energy of the plasmon resonance is determined by, and serves as an optical reporter of, the percentage of oxide present within the Al. This understanding paves
the way toward the use of aluminum as a low-cost plasmonic material with properties and potential applications similar to those of the coinage metals.
KEYWORDS: plasmon . UV . dark field . hyperspectral . nanodisk . aluminum
lasmonics is known to hold tremendous potential for transformative
applications in optics-based technologies at infrared and optical frequencies.
In recent years, there have been significant advances in plasmon-enhanced light
harvesting,1 4 photocatalysis,5 11 surfaceenhanced spectroscopies,12 16 optics-based
sensing,17 22 nonlinear optics,23 26 and active
optoelectronic applications and devices.27 31
While plasmons in nanoscale systems can
be readily tuned across the visible and into
the infrared regions of the spectrum, extending plasmonic properties into the UV
has been significantly more challenging
because of inherent limitations in the most
common plasmonic metals Au and Ag
(Figure 1a).20,32 35 Interband transitions introduce a dissipative channel for Au plasmon resonances at wavelengths shorter
than 550 nm; Ag supports resonances down
to 350 nm but suffers from rapid oxidation
that degrades plasmonic properties. Aluminum has recently been suggested as an
alternative plasmonic material in the UV
and visible regions of the spectrum.3,18,36 43
Its attractive properties include low cost,
high natural abundance, and ease of processing by a wide variety of methods including
CMOS.
P
KNIGHT ET AL.
To date, however, the experimental optical
response of Al nanoparticles has appeared
inconsistent relative to calculated spectra,
even for well-characterized geometries. Some
studies have shown quantitative agreement
between experiment and theory, including
for high-purity Al nanodisks.36,39 Other studies, however, have reported discrepancies
between experimental and calculated plasmon resonance energies (Δλ > 50 100 nm),
especially at ultraviolet energies.21,37,41 Where
discrepancies exist, the experimental resonances are consistently red-shifted relative
to values calculated using the tabulated dielectric response of aluminum.
Here we show how the energy of localized
surface plasmon resonances depends sensitively on the presence of oxide within the
bulk metal. We measure the optical properties of individual Al nanodisks as a function of
both measured oxide content and diameter
and develop a general approach for modeling their optical response. These results provide a method for estimating the metallic
purity of aluminum nanoparticles directly
from their optical response.
Received for review October 21, 2013
and accepted November 25, 2013.
Published online
10.1021/nn405495q
RESULTS AND DISCUSSION
The plasmonic response of aluminum
nanostructures should depend sensitively
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on both the presence of a surface oxide layer and the
presence of a substrate (Figure 1b). For a pure, isolated
Al nanodisk with a D = 50 nm diameter, the scattering spectrum exhibits a single dipolar resonance at
210 nm (i). The addition of a 3 nm surface oxide;a
characteristic thickness of the native Al oxide;red
shifts the resonance by 15 nm and decreases its
amplitude (ii). Placed on a dielectric substrate (e.g.,
SiO2), the nanodisk plasmon resonance red shifts and
weakens further, with the dipolar surface plasmon
resonance (SPR) shifting to 255 nm and a quadrupolar
shoulder appearing as a distinct mode at shorter
wavelengths (iii).
The spectral response of pure individual Al nanodisks
(Figure 2a), fabricated on UV-grade fused silica substrates
using e-beam lithography (Figure 2b), was measured as a
function of increasing disk diameter using a custom-built
hyperspectral UV visible microscope. For small nanodisks,
the deep UV plasmon resonance exhibits the characteristic
Lorentzian resonance of a dipolar oscillator. As the nanodisk
diameter is increased, phase delay across the nanoparticle
causes the plasmon resonance to red shift and broaden
and introduces higher order, multipolar resonances. These
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Figure 1. Aluminum as a plasmonic material. (a) Plasmon
tuning ranges of the most common plasmonic materials, Au
and Ag, compared with Al. (b) Calculated spectra for a 35 nm
thick, 50 nm diameter Al nanodisk: (i) a pure, isolated Al
nanodisk (black line); (ii) an isolated Al nanodisk with a 3 nm
surface oxide (green); and (iii) the same Al nanodisk on an
infinite SiO2 substrate (orange).
experimental spectra remained unchanged when measured following 3 weeks of atmospheric exposure, confirming that the self-terminating native Al oxide very
effectively passivates the nanostructures.
Pure Al nanodisk spectra calculated using the finite
difference time domain (FDTD) method (Figure 2c)
agree well with the experimental dark-field observations. The small geometrical defects in nanodisk geometry apparent in the SEM images (Figure 2b) do not
produce significant deviations from the theoretical
spectra, which assume perfect disks (Figure 2c). Also,
while the excitation conditions are different (see
Materials and Methods), the finite numerical aperture
of the objective (NA = 0.28) limits the dark-field
spectrum to modes that radiate nearly perpendicular
to the substrate.44 This eliminates experimental contributions from out-of-plane plasmonic modes, giving
good agreement with the simulated spectra.
Nominally identical Al nanodisks exhibit substantial
variations in their plasmon response due to the presence of oxides in the bulk metal (Figure 3). To study
this effect systematically, three nanodisk samples were
prepared using identical lithographic steps, but with
three different deposition chamber conditions: pristine, recently “contaminated”, and cleaned following “contamination”. First, films were deposited in a
dedicated deposition chamber at 10 7 Torr. Next, a
sample was prepared after contaminating the deposition chamber with a thick layer of SiOx. Aluminum was
deposited at 10 5 Torr; outgassing from the chamber
walls created a partial pressure of oxygen within the
chamber. The chamber was subsequently “cleaned”
by depositing titanium as a getter and sustaining
vacuum levels of <10 5 Torr for 1 week. Finally, a
third sample was prepared, also at a pressure of
10 5 Torr.
The dark-field plasmon response of individual nanodisks fabricated from these films (Figure 3) shows
significant spectral effects as a result of the three
deposition conditions. For D = 100 nanodisks prepared
under pristine conditions, the plasmon peak occurs
at ∼405 nm (Figure 3a, green points). Immediately
following contamination, the plasmon resonance was
shifted to 465 nm (orange points), while after cleaning
the plasmon shifted back to 417 nm (blue points). Both
samples prepared following SiOx deposition showed
a decrease in amplitude of the scattered light relative
to nanodisks grown under pristine conditions (green
points).
To measure the dielectric response of Al for all three
deposition conditions, spectroscopic ellipsometry was
performed on smooth films deposited simultaneously
with the plasmonic nanodisks for wavelengths between 300 and 700 nm and an incident angle of 70
(Figure 3b). The Al dielectric function for each film was
derived from the ellipsometric data assuming a bilayer
composed of a thin dielectric Al2O3 layer (εox = εAl2O3)
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Figure 2. UV vis tuning of aluminum plasmons. (a) Experimental dark-field spectra of individual nanodisks with D = 70, 80,
100, 120, 130, 150, 180 nm. (b) SEM micrographs of the corresponding nanodisk structures. Scale bar is 100 nm. (c) FDTD
simulations of the nanodisk spectra, assuming a 3 nm surface oxide and a SiO2 substrate.
coating an infinitely thick metallic Al substrate characterized by a modified Drude response (Figure 3b)
εAl ¼ ε¥
ω2p
ω2 þ iωΓ
(1)
in which ωp is the bulk plasmon frequency, Γ is the damping constant, and ε¥ is the high-frequency response. To
within experimental uncertainties, all films exhibited
similar surface oxide thicknesses (2 6 nm) and metallic
Drude damping (Γ ≈ 0.9 1.3 eV) and ε¥ (3 4) parameters. However, the bulk plasmon frequency was observed to decrease as trace SiOx exposure increased, with
ωp = 15.8 eV (green), 14.9 eV (blue), and 12.5 eV (orange).
The observed dependence of the experimental dielectric response on the degree of metal oxidation was
modeled as an effective medium composed of oxide
inclusions within the host aluminum. The Bruggeman
effective medium approximation was found to reproduce the observed behavior more accurately than
Maxwell Garnett theory (see Supporting Information).
KNIGHT ET AL.
The Bruggeman model permits the calculation of a
composite Al/Al2O3 dielectric function ε by mixing the
tabulated values of pure Al and Al2O3 as45,46
εAl ε
εox ε
nAl
þ nox
¼ 0
(2)
εAl þ 2ε
εox þ 2ε
where nAl and nox are the volume fractions of aluminum and oxide comprising the material, respectively.
Dielectric functions for the composite metal calculated
using this approach (Figure 3c) closely match the experimentally measured permittivities. Slight discrepancies appearing in the imaginary permittivity may arise
from either metallic granularity, which varies depending on deposition conditions, or deviations from the
Drude model used during ellipsometry to extract the
experimental dielectrics.47
The Al fractions used to calculate the effective dielectric function for each composite metal film were obtained by fitting the ellipsometrically measured Drude
dielectric functions with the Bruggeman dielectric
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Figure 3. Aluminum dielectric response. (a) Scattering spectra of 100 nm diameter nanodisks with varying metal oxide
fractions. The calculated spectra (solid lines) assume a 3 nm pure surface oxide and a SiO2 substrate. The experimental darkfield spectra (dotted lines, scaled for clarity) correspond to evaporations performed under exposure to varying trace levels of
oxygen, producing 9% (green), 19% (blue), and 27% (orange) metal oxide content. (b) Ellipsometrically measured dielectric
functions for the three deposited Al purities. (c) Bruggeman dielectric functions for Al oxide fractions of 0% (black), 9%
(green), 19% (blue), 27% (orange), 40% (gray), and 50% (light gray).
function, yielding nAl = 0.91 (green), 0.81 (blue), and
0.73 (orange). Calculated nanodisk spectra using these
composite Al/Al2O3 dielectric functions for the core
metal and 3 nm of pure Al2O3 for the shell agree quite
closely with the measured spectra (Figure 3a).
The elemental composition of each film was confirmed under ultrahigh vacuum conditions using X-ray
photoelectron spectroscopy (XPS, PHI Quantera). Spectra were acquired for all elements present in the film/
substrate system: Al 2p (68 80 eV), O 1s (526 538 eV),
C 1s (280 292 eV), and Si 2p (97 109 eV). Using an Al
KR X-ray source, the XPS measurements yielded a
response limited to elements present within 10 nm
of the exposed sample surface. The elemental composition within the probe volume was obtained from
the integrated XPS line shapes after accounting for
instrument- and material-dependent relative sensitivity factors. The Al 2p spectrum contains two peaks
corresponding to the oxidized and metallic states
(75.7 and 73.5 eV).48,49 Given effective attenuation
lengths of λAl = 2.92 nm and λox = 2.39 nm, which
are specific to Al 2p photoelectron emission,48 the
ratio of the integrated Al and Al2O3 peak intensities
estimates the relative fractions of oxidized and metallic
aluminum within the penetration depth (∼3 λAl) of
KNIGHT ET AL.
the exposed surface. These relative intensities indicate
significant differences in oxide content between the
three Al samples (Figure 4a).
To determine the compositional depth profile of
the film, in situ Arþ etch cycles (3 kV, 3 3 mm area,
12 s increments) and XPS measurements were performed iteratively to estimate the fractional composition just below each freshly exposed surface. Significant
aluminum and aluminum oxide peaks were observed
(Figure 4a), allowing the depth profile of oxidized Al to
be measured quantitatively. In addition, the samples
exhibited a minor contribution from carbon;a surface
contaminant only observed on the unetched films;
and silicon, which only appeared when the etching
process had completely removed the 35 nm Al
film from the Si substrate and the Al 2p peak had
disappeared. Otherwise, the only elements detectable
during depth profiling were aluminum and oxygen,
with the oxygen appearing in a stoichiometric ratio
with aluminum consistent with the measured Al2O3.
During the first several etch cycles, a rapid decrease
in the Al2O3 peak was recorded, corresponding to the
removal of the passivating surface oxide (Figure 4d).
Once the surface oxide layer was removed, the rest of
the film exhibited a constant bulk oxide fraction (Figure 4b).
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Figure 4. High-purity aluminum deposition. X-ray photoemission spectroscopy (XPS) of the Al 2P peak (73.5 eV) and
corresponding oxide peak (75.7 eV) at (a) the surface and (b)
within the deposited aluminum film. The films are the same
as in Figure 3: 9% (green), 19% (blue), and 27% (orange)
metal oxide content. All spectra are normalized to the Al
peak for clarity. (c) Schematic drawing denoting scan locations within the film. (d) Fraction of oxidized aluminum
within the bulk material is calculated from the relative XPS
peak intensities as the film is etched in situ, with approximate depths indicated from (c).
For the three different samples, these correspond to
unoxidized atomic fractions of 75% (orange), 82%
(blue), and 92% (green) Al, in close agreement with
the values 73, 81, and 91% Al deduced from ellipsometry
and the Bruggeman model. (The XPS counts correspond
to atomic fraction, rather than volume fraction, used in the
Bruggeman model. Direct application of these data to the
Bruggeman model slightly underestimates the oxidized
volume, which we estimate to be within our experimental
error.) This agreement confirms that Al oxidation beneath
the native oxide surface coating occurred in situ during
deposition from the low levels of trace oxygen present
during film growth.
The thickness of the native oxide surface coating
may also be estimated from the surface XPS spectrum.48,49 Approximating the ∼92% Al film as a pure
Al substrate of quasi-infinite depth (film thickness
>10 λAl), XPS measurements (Figure 4d, green lines)
and appropriate dielectric constants48 estimate a surface oxide thickness of 3.0 ( 0.1 nm, in close agreement with the native oxide thicknesses measured by
ellipsometry and reported in the literature.39 Indeed,
this 3 nm thin native oxide is a ubiquitous and significant characteristic of Al, separate from the deposition-dependent core metal oxidation discussed above.
KNIGHT ET AL.
Figure 5. Determining oxide fraction from Al nanodisk
scattering spectra. Solid: Calculated plasmon peak energies
as a function of core oxide fraction for D = 75, 100, and
150 nm nanodisks assuming a 3 nm pure oxide shell. Points:
experimentally measured values for 9% (green), 19% (blue),
and 27% (orange) oxide content with D = 75 nm (triangles),
100 nm (circles), and 150 nm (squares). The error bars
indicate typical standard deviations of peak energies for
five nominally identical nanodisks (vertical axis) and the
maximum difference between the XPS and ellipsometrically
measured Al fractions (horizontal axis).
The native oxide strongly affects the plasmonic performance of Al nanodisks because of their high surfaceto-volume ratio. For example, the native oxide shell
covering a nanodisk with D = 100 nm comprises ∼27%
of the total nanodisk volume. For smaller nanodisks,
this percentage increases rapidly, exceeding 50% for D
< 27 nm. The total oxide fraction of an Al nanostructure
must therefore include both the volume fraction of the
native oxide shell and the fractional composition of the
composite metal/oxide core.
The close agreement obtained between the experimental and theoretical scattering spectra of the Al
nanodisks in Figure 3 reveals that the plasmon energy
depends sensitively on the fraction of Al2O3 in the core
metal. In other words, for Al nanostructures of the same
geometry with the same native oxide shell, the core
Al2O3/Al fraction is a primary determinant of the optical
response. These findings indicate that a requirement
for reproducible Al-based UV plasmonic nanostructures is fabrication in a pristine environment to minimize the deleterious effects of the bulk metal oxide.
Conversely, the optical scattering spectrum of an Al
nanodisk can serve as a reporter of Al purity. This is
illustrated in Figure 5, where the calculated and measured peak scattering energies for a D = 100 nm Al
nanodisk are plotted as a function of core oxide
fraction. For equivalent nanodisks calculated using
the Bruggeman model dielectric function, increasing
the core oxide fraction induces a red shift in the dipole
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CONCLUSION
We have demonstrated the potential for Al as a
high-quality nanoplasmonic material in the UV/visible
MATERIALS AND METHODS
Theoretical Calculations. Modeling was performed using the
finite difference time domain method (FDTD, Lumerical) with
nanodisks defined by a diameter D, a thickness of 35 nm, and a
5 nm radius of curvature on all exposed edges. The scattering
efficiency, which is the ratio of the scattering cross section to the
nanodisk area, was calculated for a normal incidence plane
wave, and the optical responses of Al, Al2O3, and SiO2 were
specified using tabulated dielectric functions.46
Nanodisk Fabrication. Silica substrates were sonicated in acetone for 5 min, rinsed with isopropyl alcohol (IPA), and coated
with a 70 nm thick layer of PMMA 950 resist (MicroChem).
Following exposure and development (3:1 IPA/MIBK), 99.999%
pure Al (Kamis) was deposited using electron-beam evaporation at a rate of ∼1 Å/second. All films were 35 nm thick, as
measured by a quartz crystal microbalance. Liftoff to expose the
nanodisks was performed at room temperature using acetone,
followed by an isopropyl alcohol rinse.
Hyperspectral UV Dark-Field Microspectroscopy. The unpolarized
output of a continuum light source (Energetiq LDLS) was passed
through a monochromator with a 1200 g/mm UV grating to
select a narrow frequency band. The output slit of the monochromator was reimaged onto the sample surface using UVenhanced aluminum mirrors, uniformly illuminating the entire
area of interest at an incidence angle of 50. Scattered light was
collected using a 15, 0.28 NA finite conjugate objective
(Edmund Optics, UV ReflX), and imaged onto a UV-enhanced
CCD array (Princeton Instruments). Monochromatic images
were obtained from 200 to 700 nm in 5 nm increments with a
30 s exposure per wavelength. The images formed a spectral
datacube that contained the scattering response of all nanostructures within the field of view, which was then corrected for
the instrument response using a UV-grade white calibration
standard (Labsphere, Spectralon). All measurements were performed within a dry nitrogen environment to minimize spectral
artifacts, with less than 0.3% oxygen (Vernier) and 20 ppb ozone
(Ozone Solutions).
Conflict of Interest: The authors declare no competing
financial interest.
Acknowledgment. The authors would like to acknowledge
Alexander S. Urban, Nathaniel J. Hogan, Jana Olson, Andrea E.
Schlather, and Surbhi Lal for productive discussions. This work
was supported by the Robert A. Welch Foundation under Grants
C-1220 (N.J.H.) and C-1222 (P.N.), the National Security Science
and Engineering Faculty Fellowship (NSSEFF) N00244-09-10067, the Air Force Office of Scientific Research (AFOSR)
FA9550-10-1-0469, NSF MRI, the Army's in-house laboratory
independent research program, and the Army Research Office.
Supporting Information Available: Comparison of Al dielectric functions and spectra calculated using both the Bruggeman
KNIGHT ET AL.
spectral regions, showcasing the critical importance
of Al purity in achieving reproducible plasmonic
properties. This requires careful control of oxide contamination during the deposition process. Conversely, an estimation of the oxide fraction may be
achieved by matching the spectrum of a known
plasmonic nanostructure with spectra calculated
using the Bruggeman effective medium approximation. These findings pave the way to develop Al
nanostructures for novel UV and visible range plasmonic applications, ultimately enabling high-area,
low-cost, CMOS-compatible plasmonic devices and
applications not currently possible with noble and
coinage metals.
ARTICLE
resonance peak from 3.1 eV (400 nm) to 2.0 eV (620 nm)
(Figure 5). This reporter functionality is confirmed by
the measured resonance energies (Figure 3) for three
different nanostructure sizes (Figure 5, circles). Selecting alternate reporter geometries shifts and changes
the shape of this calibration curve (see Figure 5, D = 75
and 150 nm), suggesting that the smallest diameter
nanodisks are the best reporters because their peak
energies depend most sensitively on the fraction of
bulk oxide present in the nanostructure.
and Maxwell Garnett effective medium theories. This material
is available free of charge via the Internet at http://pubs.acs.org.
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