Abstract
The near-field and far-field spectral response of plasmonic systems are often assumed to be identical, due to the lack of methods that can directly compare and correlate both responses under similar environmental conditions. We develop a widely tunable optical technique to probe the near-field resonances within individual plasmonic nanostructures that can be directly compared to the corresponding far-field response. In tightly coupled nanoparticle-on-mirror constructs with nanometer-sized gaps we find >40 meV blue-shifts of the near-field compared to the dark-field scattering peak, which agrees with full electromagnetic simulations. Using a transformation optics approach, we show such shifts arise from the different spectral interference between different gap modes in the near- and far-field. The control and tuning of near-field and far-field responses demonstrated here is of paramount importance in the design of optical nanostructures for field-enhanced spectroscopy, as well as to control near-field activity monitored through the far-field of nano-optical devices.
Keywords: SERS, ultrafast tunable lasers, plasmonics, nanoparticle on mirror, sensing
The interaction of light with noble metal nanostructures excites collective electron oscillations in the form of localized plasmonic resonances. As a result, such plasmonic nanostructures are able to confine light within extremely small volumes, millions of times smaller than a wavelength-sized box. Squeezing light into such small regions creates near-thousand-fold field enhancements, which are ideal for intense surface-enhanced Raman scattering (SERS), thus allowing only a few atoms, molecules, or nano-objects to be directly tracked.1 So far, researchers have typically assumed that both the localized near-field and radiated far-field support their resonant behavior (i.e., strongest field enhancements) at similar spectral wavelengths. As a result, optimization of SERS has depended on measurements of the far-field scattering spectrum.
Here we show that when the optical field is tightly confined by nanoscale gaps, the resulting multiple order plasmon resonances supported at different wavelengths interfere with each other differently to build up the signal from the near- and far-fields. As a result, significant spectral shifts are observed. We experimentally demonstrate this using a spectral-scanning technique that simultaneously records dark-field scattering spectra and tunable-pump SERS measurements on each nanostructure individually. We utilize plasmonic constructs for this that provide extremely robust nanoscale gaps,2 using Au nanoparticles separated from a bulk Au film by an ultrathin molecular spacer, known as the nanoparticle-on-mirror (NPoM) geometry.3−5 In contrast to the red-shifts always found in isolated nanoparticles,6 the near-field NPoM resonance from SERS is found to be always blue-shifted from the scattering peak. We explain this through a transformation optics model that allows the decomposition of the total signal into individual modes that show different radiative properties. In particular the n = 1 and 2 modes interfere constructively in the far-field, but destructively in the near-field. From this understanding, our experiments also allow us to show that the SERS background arises from a completely different process from the SERS vibrational signal, as it follows instead the far-field spectral enhancement. Our insights provide a solid intuition to predict how near-fields behave within a wide variety of plasmonic nanoconstructs.
Direct measurements of the near-field plasmonic enhancement spectra either are probe-based techniques or must exploit nonlinear processes, since only then do the evanescent fields contribute most strongly. Probe-based techniques are not suitable for single NPoM measurements, and second-harmonic generation is not very reliable for this task, as it possesses both bulk and surface contributions and is thus very sensitive to many additional aspects of nanoscale geometry. Third-harmonic generation techniques7 are also possible but so far are primarily single-wavelength studies.8−12 The other favorable process for this task is SERS, but this has also been challenging because of the requirement for wide tuning of the Raman pump laser, while ensuring high-contrast tunable filtering of the scattered light from the background Rayleigh pump scatter. As a result, most experiments work with arrays of nanoparticles13 or use a limited number of excitation wavelengths on individual nanostructures.14−18 Alternative approaches with fixed excitation wavelength that attempt to tune the plasmon resonance suffer uncontrolled changes in confinement and enhancement.8−12 Recent experiments15 have managed to deliver wavelength-scanned Raman and dark-field measurements on lithographically defined plasmonic dimers in order to ascertain how quantum tunneling affects the SERS amplitude. Lithography however generates considerable uncertainty in the gap sizes and morphologies. Compared to such nanoparticle dimers, the NPoM geometry guarantees much better control of gap size between gold film and nanoparticle, higher reproducibility, and a much simpler and robust nanoassembly procedure and has thus been recently utilized in many experimental studies.3−5 The well-defined architecture also precisely defines the orientation of the optical fields and of the molecules that are currently studied in SERS, and thus allows precise comparison of the near- and far-field response.
Our experimental setup is optimized to realize both dark-field microscopy and broadband-tunable SERS measurements on the same single nanoparticle at the same time (Figure 1a). For dark-field scattering spectroscopy white light is focused on the sample through a high numerical aperture (NA = 0.8) 100× objective, and a cooled spectrometer detects the scattering of single nanoparticles, which are kept well spatially separated (coverage <1 μm–2).
To realize broadband-tunable SERS a sub-nanometer line-width-tunable laser source is required. To create this, a 200 fs Ti:sapphire oscillator pumps a femtosecond optical parametric oscillator to give tunable output over visible and near-infrared wavelengths from 500 to 1040 nm (see Methods). The output is spectrally narrowed below 1 nm using an acousto-optic programmable dispersive broadband filter (AOPDF),19 yielding fully automated tuning with multi-milliwatt output powers. This Gaussian beam is focused in an inverted microscope to a diffraction-limited spot using the same 100× objective. For each excitation wavelength, Rayleigh-scattered light is filtered out using a computer-controlled translatable custom-built array of multiple linear variable long wave pass (LP) filters with an overall optical density (OD) of 11, maximum transmission of 80%, and cutoff spectral width of 10 nm. Stokes Raman signals are recorded with a spectrometer and cooled EMCCD camera. Calibration on bulk solids confirms this system is capable of Raman measurements across the entire visible and infrared.
For the near-field measurements here, a p-terphenylthiol (TPT) self-assembled molecular monolayer (SAM) is used as a nanoscale spacer between the flat gold surface and 60 nm gold nanoparticles placed on top. The gap thickness, which depends on the orientation angle of the molecules on the gold surface, is found to be d = 1.4 ± 0.1 nm through phase-modulated ellipsometry measurements, in good agreement with previous work.1 Individual nanoparticles are first optically characterized by dark-field spectroscopy (Figure 1b), which shows for all spectra a strong coupled plasmon mode resonance in the near-infrared around 730 ± 20 nm. The <20 nm (fwhm) variation in spectral peak arises from the 10% distribution of Au nanoparticle diameters. The tightly confined hot spot created within the gap (lateral size (Rd)1/2 ≈ 6.5 nm) is then an ideal situation to compare near- and far-field spectra.
When the laser (at pump wavelength λp = 630 nm in Figure 1) is focused away from any Au nanoparticle, the Raman scattering from the molecular SAM is below our detection noise level (Figure 1c, black). However, focusing on an NPoM elicits hundreds of times stronger optical fields, greatly enhancing the SERS signal of TPT molecules confined within the plasmonic nanogap (Figure 1c, red). Three dominant vibrational lines are seen corresponding to a C–H rocking mode (1080 cm–1) and to in-plane stretching of the benzene rings (1256 and 1585 cm–1). The average laser power at the sample is kept below 1 μW, which is needed to avoid any shifts in the NPoM dark field spectra or any changes in SERS over time (Supporting Information). Similar SERS signals are obtained from each NPoM.
By scanning the laser wavelength, we measure the plasmonic-induced SERS enhancement from TPT to access the near-field spectrum of the NPoM (Figure 2a). The vibrational peaks do not shift with pump λp, but their amplitudes show strong enhancements at λp = 640 nm (1585 cm–1 mode), λp = 650 nm (1256 cm–1 mode), and λp = 670 nm (1080 cm–1 mode) (Figure 2a). Control measurements show the plasmonic origin of these resonances and imply SERS enhancement factors of ∼108 with NSERS = 200 molecules confined within each hot spot (see Methods).
Plotting the extracted experimental SERS enhancements ISERS(ν, λp) of each of the three main TPT peaks against the outgoing wavelength (Figure 2b) shows they reach their maxima close to the coupled mode observed in far-field scattering, but are blue-shifted by ∼22 meV. This is contrary to the behavior for isolated plasmonic nanoparticles, in which case the near-field resonance is found to be red-shifted compared to the scattering.6,20−22 This red-shift is associated with the damping of a plasmonic resonance.6,22 A localized surface plasmon can be interpreted in terms of a driven damped oscillator. When damping is present, the maximum oscillation amplitude occurs at a lower energy than the natural frequency of the oscillator, while maximum dissipation occurs at the natural frequency, giving a spectral red-shift. A more complete description of the oscillator model describing plasmonic resonances was discussed by Kats et al.23 Blue-shifted near-field spectra were previously reported24 for large nanoparticle arrays. Using single nanostructures here confirms this behavior does not originate from any sample inhomogeneity or periodic effect. Finite difference time domain (FDTD) simulations of the maximum near-field and the scattering far-field optical response of a single NPoM confirm this behavior (Figure 2c) and show it is a general property of all closely coupled plasmonic resonators such as dimers (Supporting Information). We note that the overall spectral shifts between simulation and experiment here probably arise from faceting of the nanoparticle, which increases the coupling and red-shifts the coupled plasmon resonance.25,26
Results on a range of NPoMs show that the near-field resonance is always blue-shifted from the far-field resonance by 4 to 55 meV depending on the nanoparticle (Figure 3a). Different sized nanoparticles tune the coupled mode, but in all cases ISERS follows a Gaussian spectral profile with a ∼ 2-fold reduction in line width compared to the corresponding resonant plasmonic mode in scattering. This is also unexpected since both dark-field and Raman scattering require each photon to couple in and to couple back out, both resonantly enhanced by the plasmonic antenna.
To understand the origin of this effect and the spectral narrowing of the near-field resonance, it is useful to separate out the contributions from each plasmonic resonance supported in the gap, which thus requires further theoretical insights.
Contrary to an isolated nanoparticle, when two plasmonic resonators (here a nanoparticle and mirror) are coupled, the near-field enhancement is heavily dependent on the physical geometry of the nanogap and on the excited modes within it. By implementing a transformation optics technique27 (Supporting Information), we model the optical response of the gap modes, both in the near-field and in their radiative emission. The transformation optics technique is developed here in a two-dimensional system to provide the key intuition to understand the nature and composition of the fundamental modes. We find that the dipole-localized surface plasmon polariton resonance (n = 1) strongly interferes with the quadrupole mode (n = 2) (corresponding field distributions in Figure S6 of the Supporting Information). This leads to similar field patterns around most of the nanoparticle, but pronounced differences inside the gap (Figure 4a–d). Critically, they have opposite phase, ϕn, in the near-field (i.e., destructive superposition, Figure 4e arrow), but they radiate coherently to the far-field (i.e., constructive interference, Figure 4f). Hence, the second gap mode shifts the far-field (σscat) resonance to longer wavelengths (Figure 4d) and the near-field (SERS) to shorter wavelengths (Figure 4c).
Even higher-order modes become more significant for extremely small separations (<0.3 nm for the NPoM discussed here), where the nanoparticle couples even stronger with the mirror. Their phase shifts alternate with even/odd n in the near-field, but all modes add coherently in the far-field, shifting σscat to even longer wavelengths. Both experiment and simulations confirm this, showing an increased blue-shift for coupled modes that are located further in the infrared. As the nanoparticle moves away from the mirror, the blue-shift observed in the coupled regime decreases until we reach the decoupled regime (isolated nanoparticle) and a red-shift is observed instead (Figure 3b), in agreement with previous results. On the other hand, it has been reported28,29 that for geometrically more complex structures (such as trimers), the field enhancement in the near-field shows a maximum “in regions where there is no hint of a resonance in the absorption/extinction”.29 Such structures support multiple modes at nearby frequencies, which commonly result in complex spectral shifts in the far-field response. Our NPoM system provides a unique opportunity to isolate a precise modal structure and perform a well-defined modal analysis on a robust spectral composition, which is not typical in other SERS systems. It should be noted that all theoretical calculations are performed purely classically, ignoring nonlocality and electron spill-out from the plasmonic metals; the basic concepts here will be little altered by quantum effects for this range of particle–surface separation distances.
Further insights can be extracted from the dependence of the SERS background on λp. This background contribution has been highly debated in the literature,30,31 with competing explanations of plasmon luminescence, image molecules, and inelastic electron scattering and from contamination, however, clarifying data are still lacking. For each NPoM we extract the background in the vicinity of the 1585 cm–1 peak and plot it as a function of the emitted wavelength (Figure 3a open circles). This clearly shows the SERS background does not match the spectral shape of the near-field enhancement in the gap but closely follows the far-field optical scattering response of the plasmonic NPoM, in both spectral position and line width. Recent work30,31 shows that much of the SERS background must come from optical penetration inside the metal, where it can induce inelastic scattering of the electrons. In the experiments here, molecules are placed only in the gap (hence they probe only the near-fields), while the n = 1, 2 modes localize the light around the entire nanoparticle surface. Hence, our spectral-tuned measurements thus prove that the SERS peaks and background must arise from different sources, as also suggested by super-resolution imaging studies.32 As a result, we prove that the SERS background observed here has a component that tracks the far-field enhancement, as well as an equally intense spectrally constant component arising from the surrounding planar substrate.
We have thus shown that the clear identification and spectral separation of the near- and far-field resonances can be achieved using precision spectrally tuned SERS measurements on single nanoparticles. Both experiment and theory agree in the resonance shifts and spectral widths, which are found to be controlled by the coherent superposition between different plasmon gap modes. In the spherical nanoparticle-on-mirror geometry the dominant modes are the n = 1 and 2, which have opposite phase in the near-field but the same phase in the far-field, resulting in a blue-shift of the SERS peak compared to the dark-field scattering and a 2-fold smaller resonance line width. This intuitive understanding of how the resonance positions are determined is generally applicable to coupled plasmonic systems. It also shows that the ever-present SERS background does not come from the same spatial locations as the near-field-controlled SERS peaks.
Methods
Sample Preparation
Gold substrates are prepared by evaporating 100 nm gold (Kurt J. Lesker Company, PVD 200) on a silicon (100) wafer (Si-Mat, Germany) with a rate of 1 Å/s. To obtain atomically smooth films, a standard template stripping method is used: silicon substrates are glued onto the freshly evaporated gold using an epoxy glue (EpoTek 377),33 and the resulting gold/epoxy/silicon sandwich is peeled off the silicon wafer.
Self-assembled monolayers of 1,1′,4′,1″-terphenyl-4-thiol (Sigma-Aldrich, 97%) are formed by submerging the freshly template-stripped substrates into a 1 mM solution in water-free ethanol (Sigma-Aldrich, reagent grade, anhydrous) for 24 h. The samples are subsequently thoroughly rinsed with ethanol and blown dry. Gold nanoparticles (BBI Solutions, UK) are deposited by drop casting from the as-received solution. The deposition time is adjusted in order to obtain the desired nanoparticle coverage. The samples are rinsed with Milli-Q water in order to remove any salt residues.
Ellipsometry
The thickness of the self-assembled monolayers is measured using both ellipsometry (Jobin-Yvon UVISEL spectroscopic ellipsometer) and normalizing plasmon resonance spectroscopy.34 For the ellipsometry measurements an angle of incidence of 70° is used. The data are modeled and fitted using a three-layer model. A thickness of 1.5 nm is determined with a refractive index of n = 1.45.
Dark-Field Spectroscopy
Optical dark-field images are recorded on a custom Olympus GX51 inverted microscope. Samples are illuminated with a focused white light source (halogen lamp). The scattered light is collected through a 100× dark-field objective (LMPLFLN-BD, NA = 0.8) and analyzed with a fiber-coupled (50 μm optical fiber) Ocean Optics QE65000 cooled spectrometer. We use a standard diffuser as a reference to normalize white light scattering. For each sample, we record optical spectra from 20 randomly selected isolated nanoparticles.
Tunable SERS
An ultrafast laser system based on a 200 fs Ti:sapphire oscillator (Spectra Physics MaiTai delivering 200 fs pulses, fwhm 10 nm, at 80 MHz repetition rate) pumps a femtosecond optical parametric oscillator (Spectra Physics Inspire). This light source provides a tunable output over a wide range of visible and near-infrared wavelengths from 500 to 1040 nm. The monochromaticity of the output beam is reduced below 1 nm spectral bandwidth using an acousto-optic programmable dispersive broadband filter (AOPDF, Dazzler, Fastlite). Relying on interactions between a polychromatic acoustic wave and a polychromatic optical wave in the bulk of a birefringent crystal, it is fully automated across a wide wavelength range (500–900 nm), yielding average output powers of several milliwatts.
SERS experiments are performed on the same modified Olympus GX51 inverted microscope used for dark-field spectroscopy. A monochromatic wavelength-tunable laser beam is focused on the sample using a 100× objective (NA = 0.8). Raman scattering is collected through the center of the objective and analyzed with a Shamrock SR-303i fully automated spectrometer coupled with an EMCCD camera water cooled to −85 °C. For the current experiments we use a 600l/mm 650 nm blazed grating. Rayleigh scattering is filtered out with a set of three long pass linear variable filters (DELTA); this filtering system allows the detection of a minimum Raman shift of about 400 cm–1 over the studied spectral range. The system is calibrated using a silicon substrate as a reference. Spectral acquisitions are taken using an integration time of 10 s and an average laser power on the sample below 1 μW.
The enhancement factor per molecule (EF) is calculated for each nanoparticle by integrating the Raman peak areas and taking the ratio between SERS at 1585 cm–1 (ISERS) and the corresponding unenhanced signal from the bulk powder (IR):
where NSERS and NR are the estimated number of molecules contributing to SERS and Raman signals, respectively (Supporting Information). From a spot size of 0.4 μm and assuming that NSERS = 200 molecules are confined in each hot spot, we estimate the measured EF to be ∼108 for this excitation wavelength. We compare this to predictions from numerical simulations of this geometry, which suggest EF = |Ep|2|ESERS|2 = 106–107, where |Ep| is the field amplitude enhancement at the incident laser wavelength, while |ESERS| is the field amplitude enhancement at the outgoing wavelength (Stokes emission). By fitting Lorentzian lines to each vibrational peak and subtracting the SERS backgrounds, the spectral evolution ISERS(ν, λp) of the three main TPT peaks is extracted. Normalizing these to the incident laser power (we separately confirm all signals are linear in pump power), these are plotted as a function of the excitation wavelength and directly compared to the dark-field spectrum of the same nanoparticle (Figure 2b).
FDTD Simulation
The electromagnetic response of the nanoparticle on mirror geometry has been simulated by three-dimensional FDTD calculations using Lumerical FDTD Solutions v8.9. The structure has been modeled as a gold sphere of 60 nm diameter on top of a 200 nm thick gold layer, with a 1 nm thick dielectric sheet in between. For the gold, we referred to the dielectric constants reported in Johnson and Christy.35 The gold nanoparticle was illuminated with p-polarized plane waves from an angle of incidence of θi = 55°. The scattered light was then collected within a cone of half-angle θc = 53°, based on the numerical aperture of the objective.
Acknowledgments
We acknowledge financial support from EPSRC grants EP/G060649/1, EP/L027151/1, EP/G037221/1, EPSRC NanoDTC, and ERC grant LINASS 320503. J.A. acknowledges support from project FIS2013-41184-P from Spanish MINECO and project NANOGUNE’14 from the Department of Industry of the Basque Country. F.B. acknowledges support from the Winton Programme for the Physics of Sustainability. R.C. acknowledges financial support from St. John’s College, Cambridge, for a Dr. Manmohan Singh Scholarship. P.A. acknowledges funding from the Helmholtz Association for the Young Investigator group VH-NG-928 within the Initiative and Networking Fund. We thank Laurynas Pukenas and Steve Evans (University of Leeds, UK) for support with the ellipsometry measurements.
Supporting Information Available
The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acsphotonics.5b00707.
Laser power effects on the optical response of single nanoparticles, terphenylthiol powder absorption measurements, biphenyl-4-thiol-tunable SERS measurements on different size nanoparticles, FDTD simulations for a dimer geometry, transformation optics technique, scanning electron microscopy correlation (PDF)
Author Present Address
⊥ Nanooptical Concepts for PV, Helmholtz-Zentrum Berlin, Hahn-Meitner-Platz 1, 14109 Berlin, Germany.
The authors declare no competing financial interest.
Supplementary Material
References
- Kneipp K.; Wang Y.; Kneipp H.; Perelman L. T.; Itzkan I.; Dasari R. R.; Feld M. S. Single Molecule Detection Using Surface-Enhanced Raman Scattering (SERS). Phys. Rev. Lett. 1997, 78, 1667–1670. 10.1103/PhysRevLett.78.1667. [DOI] [Google Scholar]
- Benz F.; Tserkezis C.; Herrmann L. O.; De Nijs B.; Sanders A.; Sigle D. O.; Pukenas L.; Evans S. D.; Aizpurua J.; Baumberg J. J. Nanooptics of Molecular-Shunted Plasmonic Nanojunction. Nano Lett. 2015, 15, 669–674. 10.1021/nl5041786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mubeen S.; Zhang S.; Kim N.; Lee S.; Kramer S.; Xu H.; Moskovits M. Plasmonic Properties of Gold Nanoparticles Separated from a Gold Mirror by an Ultrathin Oxide. Nano Lett. 2012, 12, 2088–2094. 10.1021/nl300351j. [DOI] [PubMed] [Google Scholar]
- Daniels J. K.; Chumanov G. Nanoparticle-Mirror Sandwich Substrates for Surface-Enhanced Raman Scattering. J. Phys. Chem. B 2005, 109, 17936–17942. 10.1021/jp053432a. [DOI] [PubMed] [Google Scholar]
- Mertens J.; Eiden A. L.; Sigle D. O.; Huang F.; Lombardo A.; Sun Z.; Sundaram R. S.; Colli A.; Tserkezis C.; Aizpurua J.; Milana S.; Ferrari A. C.; Baumberg J. J. Controlling Subnanometer Gaps in Plasmonic Dimers Using Graphene. Nano Lett. 2013, 13, 5033–5038. 10.1021/nl4018463. [DOI] [PubMed] [Google Scholar]
- Zuloaga J.; Nordlander P. On the Energy Shift between Near-Field and Far-Field Peak Intensities in Localized Plasmon Systems. Nano Lett. 2011, 11, 1280–1283. 10.1021/nl1043242. [DOI] [PubMed] [Google Scholar]
- Hajisalem G.; Nezami M. S.; Gordon R. Probing the Quantum Tunneling Limit of Plasmonic Enhancement by Third Harmonic Generation. Nano Lett. 2014, 14, 6651–6654. 10.1021/nl503324g. [DOI] [PubMed] [Google Scholar]
- Driskell J. D.; Larrick C. G.; Trunell C. Effect of Hydration on Plasmonic Coupling of Bioconjugated Gold Nanoparticles Immobilized on a Gold Film Probed by Surface-Enhanced Raman Spectroscopy. Langmuir 2014, 30, 6309–6313. 10.1021/la500640q. [DOI] [PubMed] [Google Scholar]
- Liusman C.; Li H.; Lu G.; Wu J.; Boey F.; Li S.; Zhang H. Surface-Enhanced Raman Scattering of Ag-Au Nanodisk Heterodimers. J. Phys. Chem. C 2012, 116, 10390–10395. 10.1021/jp301739a. [DOI] [Google Scholar]
- Kang M.; Kim J.-J.; Oh Y.-J. A Deformable Nanoplasmonic Membrane Reveals Universal Correlations Between Plasmon Resonance and Surface Enhanced Raman Scattering. Adv. Mater. 2014, 26, 4510–4514. 10.1002/adma.201305950. [DOI] [PubMed] [Google Scholar]
- Blaber M. G.; Schatz G. C. Extending SERS into the Infrared with Gold Nanosphere Dimers. Chem. Commun. 2011, 47, 3769–3771. 10.1039/c0cc05089j. [DOI] [PubMed] [Google Scholar]
- Lamberti A.; Virga A.; Angelini A.; Ricci A.; Descrovi E.; Cocuzza M.; Giorgis F. Metal-elastomer Nanostructures for Tunable SERS and Easy Microfluidic Integration. RSC Adv. 2015, 5, 4404–4410. 10.1039/C4RA12168F. [DOI] [Google Scholar]
- McFarland A.; Young M. A.; Dieringer J. A.; Van Duyne R. P. Wavelength-Scanned Surface-Enhanced Raman Excitation Spectroscopy. J. Phys. Chem. B 2005, 109, 11279–11285. 10.1021/jp050508u. [DOI] [PubMed] [Google Scholar]
- Li L.; Hutter T.; Steiner U.; Mahajan S. Single Molecule SERS and Detection of Biomolecules with a Single Gold Nanoparticle on a Mirror Junction. Analyst 2013, 138, 4574–4578. 10.1039/c3an00447c. [DOI] [PubMed] [Google Scholar]
- Zhu W.; Crozier K. B. Quantum Mechanical Limit to Plasmonic Enhancement as Observed by Surface-Enhanced Raman Scattering. Nat. Commun. 2014, 5, 5228. 10.1038/ncomms6228. [DOI] [PubMed] [Google Scholar]
- Ye J.; Hutchinson J. A.; Uji-i H.; Hofkens J.; Lagae L.; Maes G.; Borghs G.; Van Dorpe P. Excitation Wavelength Dependent Surface Enhanced Raman Scattering of 4-aminothiophenol on Gold Nanorings. Nanoscale 2012, 4, 1606–1611. 10.1039/c2nr11805j. [DOI] [PubMed] [Google Scholar]
- Wang P.; Zhang D.; Zhang L.; Fang Y. The SERS Study of Graphene Deposited by Gold Nanoparticles with 785nm Excitation. Chem. Phys. Lett. 2013, 556, 146–150. 10.1016/j.cplett.2012.11.018. [DOI] [Google Scholar]
- Wei A.; Kim B.; Sadtler B.; Tripp S. L. Tunable Surface-Enhanced Raman Scattering from Large Gold Nanoparticle Arrays. ChemPhysChem 2001, 12, 743–745. . [DOI] [PubMed] [Google Scholar]
- Verluise F.; Laude V.; Cheng Z.; Spielmann C.; Tournois P. Amplitude and Phase Control of Ultrashort Pulses by Use of an Acousto-Optic Programmable Dispersive Filter: Pulse Compression and Shaping. Opt. Lett. 2000, 25, 575–577. 10.1364/OL.25.000575. [DOI] [PubMed] [Google Scholar]
- Chen J.; Albella P.; Pirzadeh Z.; Alonso-Gonzalez P.; Huth F.; Bonetti S.; Bonanni V.; Akerman J.; Nogues J.; Vavassori P. Plasmonic Nickel Nanoantennas. Small 2011, 7, 2341–2347. 10.1002/smll.201100640. [DOI] [PubMed] [Google Scholar]
- Alonso-Gonzalez P.; Albella P.; Neubrech F.; Huck C.; Chen J.; Golmar F.; Casanova F.; Hueso L. E.; Pucci A.; Aizpurua J. Experimental Verification of the Spectral Shift Between Near- and Far-Field Peak Intensities of Plasmonic Infrared Nanoantennas. Phys. Rev. Lett. 2013, 110, 203902. 10.1103/PhysRevLett.110.203902. [DOI] [PubMed] [Google Scholar]
- Moreno F.; Albella P.; Nieto-Vesperinas M. Analysis of the Spectral Behavior of Localized Plasmon Resonances in the Near- and Far-Field Regimes. Langmuir 2013, 29, 6715–6721. 10.1021/la400703r. [DOI] [PubMed] [Google Scholar]
- Kats M. A.; Yu N.; Genevet P.; Gaburro Z.; Capasso F. Effect of radiation damping on the spectral response of plasmonic components. Opt. Express 2011, 19, 21748. 10.1364/OE.19.021748. [DOI] [PubMed] [Google Scholar]
- Dieringer J. A.; McFarland A.; Shah N.; Stuart D.; Whitney A. Surface Enhanced Raman Spectroscopy: New Materials, Concepts, Characterization Tools, and Applications. Faraday Discuss. 2006, 132, 9–26. 10.1039/B513431P. [DOI] [PubMed] [Google Scholar]
- Sigle D. O.; Mertens J.; Herrmann L. O.; Bowman R. W.; Ithurria S.; Dubertret B.; Shi Y.; Ying Yang H.; Tserkezis C.; Aizpurua J.; Baumberg J. J. Monitoring Morphological Changes in 2D Monolayer Semiconductors Using Atom-Thick Plasmonic Nanocavities. ACS Nano 2015, 9, 825–830. 10.1021/nn5064198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tserkezis C.; Esteban R.; Sigle D. O.; Mertens J.; Herrmann L. O.; Baumberg J. J.; Aizpurua J. Hybridization of Plasmonic Antenna and Cavity Modes: Extreme Optics of Nanoparticle-On-Mirror Nanogaps. Phys. Rev. A: At., Mol., Opt. Phys. 2015, 92, 053811. 10.1103/PhysRevA.92.053811. [DOI] [Google Scholar]
- Aubry A.; Lei D. Y.; Maier S. A.; Pendry J. B. Plasmonic Hybridization between Nanowires and a Metallic Surface: a Transformation Optics Approach. ACS Nano 2011, 5, 3293–3308. 10.1021/nn200438e. [DOI] [PubMed] [Google Scholar]
- Wustholz K. L.; Herny A.-I.; McMahon J. M.; Freeman R. G.; Valley N.; Piotti M. E.; Natan M. J.; Schatz G. C.; Van Duyne R. P. Structure-Activity Relationships in Gold Nanoparticle Dimers and Trimers for Surface-Enhanced Raman Spectroscopy. J. Am. Chem. Soc. 2010, 132, 10903–10910. 10.1021/ja104174m. [DOI] [PubMed] [Google Scholar]
- Le Ru E. C.; Galloway C.; Etchegoin P. G. On the connection between optical absorption/extinction and SERS enhancements. Phys. Chem. Chem. Phys. 2006, 8, 3083–3087. 10.1039/b605292d. [DOI] [PubMed] [Google Scholar]
- Barnett S. M.; Harris N.; Baumberg J. J. Molecules in the Mirror: how SERS Background Arise From the Quantum Method of Images. Phys. Chem. Chem. Phys. 2014, 16, 6544–6549. 10.1039/c4cp00093e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hugall J. T.; Baumberg J. J. Demonstrating Photoluminescence from Au is Electronic Inelastic Light Scattering of a Plasmonic Metal: The Origin of SERS Background. Nano Lett. 2015, 15, 2600–2604. 10.1021/acs.nanolett.5b00146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Willets K. A.; Stranahan S. M.; Weber M. L. Shedding Light on Surface-Enhanced Raman Scattering Hot Spots through Single-Molecule Super-Resolution Imaging. J. Phys. Chem. Lett. 2012, 3, 1286–1294. 10.1021/jz300110x. [DOI] [PubMed] [Google Scholar]
- Hegner M.; Wagner P.; Semenza G. Ultrafast Atomically Flat Template-Stripped Au Surfaces for Scanning Probe Microscopy. Surf. Sci. 1993, 291, 39–46. 10.1016/0039-6028(93)91474-4. [DOI] [Google Scholar]
- De Nijs B.; Bowman R. W.; Herrmann L. O.; Benz F.; Barrow S. J.; Mertens J.; Sigle D. O.; Chikkaraddy R.; Eiden A.; Ferrari A.; Scherman O. A.; Baumberg J. J. Unfolding the Contents of sub-nm Plasmonic Gaps using Normalising Plasmon Resonance Spectroscopy. Faraday Discuss. 2015, 178, 185–193. 10.1039/C4FD00195H. [DOI] [PubMed] [Google Scholar]
- Johnson P. B.; Christy R. W. Optical Constants of the Noble Metals. Phys. Rev. B: Solid State 1972, 6, 4370–4379. 10.1103/PhysRevB.6.4370. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.