Abstract
The low efficiency of Raman spectroscopy can be overcome by placing the active molecules in the vicinity of scatterers, typically rough surfaces or nanostructures with various shapes. This surface-enhanced Raman scattering (SERS) leads to substantial enhancement that depends on the scatterer that is used. In this work, we find fundamental upper bounds on the Raman enhancement for arbitrary-shaped scatterers, depending only on its material constants and the separation distance from the molecule. According to our metric, silver is optimal in visible wavelengths while aluminum is better in the near-UV region. Our general analytical bound scales as the volume of the scatterer and the inverse sixth power of the distance to the active molecule. Numerical computations show that simple geometries fall short of the bounds, suggesting further design opportunities for future improvement. For periodic scatterers, we use two formulations to discover different bounds, and the tighter of the two always must apply. Comparing these bounds suggests an optimal period depending on the volume of the scatterer.
© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Corrections
Jérôme Michon, Mohammed Benzaouia, Wenjie Yao, Owen D. Miller, and Steven G. Johnson, "Limits to surface-enhanced Raman scattering near arbitrary-shape scatterers: erratum," Opt. Express 28, 22264-22265 (2020)https://opg.optica.org/oe/abstract.cfm?uri=oe-28-15-22264
1. Introduction
In this paper, we derive upper limits to surface-enhanced Raman scattering (SERS) [1–7] for arbitrary shapes, both periodic and aperiodic, given only the materials, extending earlier bounds [8] on linear light emission to a nonlinear process formed from a composition of scattering problems (inset of Fig. 1), and we show that existing designs such as bowtie antennas are typically far from the theoretical optimum. Earlier work showed that the efficiency of a single light emitter (the local density of states, LDOS) scaled as $\require{cancel}|\chi |^{2}/\textrm {Im}\chi$ for a material with susceptibility $\chi$ ($=\epsilon -1$) [8], but we find that the Raman bounds scale as the cube of this (Eq. (12)) because they result from nonlinear composition of a light concentration bound (in which an incident planewave is concentrated on the Raman molecule) and a light emission bound similar to the previous LDOS bounds. The concentration part of our bound ($\sim |\chi |^{4}/\left (\textrm {Im}\chi \right )^{2}$) may also be applicable to many other problems involving light focusing [9,10]. For periodic surfaces, one can gain an additional enhancement to concentration from the contribution of other periods, but we show that there is a trade-off and that the largest benefits (for a single Raman molecule) seem to arise from optimizing individual scatterers. We obtain both analytical formulas within general design regions as well as semi-analytical bounds involving numerical integration for more specific spatial configurations, and we compare typical structures to these bounds. For structures constrained to lie within a subwavelength spherical volume, we show that spherical particles are nearly optimal for certain frequencies. For structures that are allowed to extend into larger volumes, we find that simple geometries such as bowtie antennas [11–13] are far from our upper limits, suggesting exciting opportunities for improvement in future designs.
SERS was developed to overcome the low efficiency of conventional Raman spectroscopy, as the very small Raman cross-section of most chemicals results in Raman radiation typically on the order of 0.001% of the power of the pump signal [1]. In SERS, the chemicals of interest are placed in the vicinity of a scatterer, typically a surface or collection of nanoparticles, which acts as an antenna that both concentrates the incoming pump field at the Raman material’s location and enhances the radiated Stokes signal emitted by the Raman material [14,15], thereby increasing the collected signal. Charge-transfer mechanisms also lead to a chemical enhancement, although their contribution is smaller than the electromagnetic enhancement effect [16,17]. Many different materials and antenna geometries have been used for SERS measurements: metals such as silver, gold, or copper, and dielectrics such as silicon carbide or indium tin oxide, were implemented in various shapes such as spheres, triangular prisms, or disks. Several studies have optimized SERS substrates over one or two parameters [18–22]. Others have used topology optimization yet only to optimize the concentration of the incident field [23,24]. Efficiencies up to 12 orders of magnitude larger than that of traditional Raman spectroscopy have been demonstrated, allowing for detection levels down to the single molecule [4,5] and opening up applications in the fields of biochemistry, forensics, food safety, threat detection, and medical diagnostics.
However, to the best of our knowledge, no study thus far has looked at the possibility of an upper limit to the enhancement achievable in SERS, and it is therefore not known whether current SERS substrates possess much room for improvement. To investigate the existence of such a bound, a key point is to notice that the process can be decomposed into two linear problems [25]: concentration of the incident field on the molecule and a dipole emission at the Raman-shifted frequency, as is described in more details below. Upper bounds on the power radiated by a dipole near a scatterer of arbitrary shape were already obtained in [8]. Given only the material $\chi$, this is an upper limit for the LDOS for any possible geometric shape in a given region of space near the emitter. The bounding method is based on optimizing the quantity of interest under energy-conservation constraints, using the fact that extinction (linear in the induced fields) is larger than absorption (quadratic in the induced fields). This method has been successfully applied to various other problems [26,27]. Here, we apply this method to obtain a bound on local field concentration enhancement, again for any possible shape given only the material and the bounding volume. Combined with the LDOS limit, we then obtain a bound on the Raman enhancement. We also obtain a second bound for the concentration problem using reciprocity in the case of a periodic structure (a similar approach was used to derive the Yablonovitch limit for solar cells from LDOS enhancement [28]). By comparing the two concentration bounds as a function of period, we obtain a tighter bound for periodic structures.
2. Derivation of bounds
In order to derive a bound on the Raman enhancement, we consider the configuration represented in the inset of Fig. 1. An incident “pump” planewave $\mathbf {E_{inc}}$ is scattered by the nanostructure, leading to a near-field enhancement. A Raman-active molecule close to the structure then acquires a dipole moment proportional to the enhanced field, $\mathbf {p} = \boldsymbol {\alpha }_{\mathrm {R}}\mathbf {E}$ where $\boldsymbol {\alpha }_{\mathrm {R}}$ is the Hermitian (usually real-symmetric) Raman polarizability tensor [25]. The power radiated by the dipole in the far field at the Raman frequency is our quantity of interest and is given by $P = |\boldsymbol {\alpha }_{\mathrm {R}} \mathbf {E}|^{2}P_{\mathbf {p}}$ where $P_{\mathbf {p}}$ is the power radiated by a unit-vector dipole $\mathbf {\hat {p}}= \boldsymbol {\alpha }_{\mathrm {R}}\mathbf {E}/|\boldsymbol {\alpha }_{\mathrm {R}}\mathbf {E}|$. $P_{\mathbf {p}}$ can be related to the (electric) LDOS through $\rho _{\mathbf {p}}=\frac {2\epsilon _0n_b^{2}}{\pi \omega ^{2}}P_{\mathbf {p}}$ where $n_b$ is the index of the background medium [29]. We note that typically LDOS is defined as the sum of $\rho _{\mathbf {p}}$ over three orthogonal directions, so that in our notation, the background LDOS is equal to $\rho _b=n_b^{3}\omega ^{2}/6\pi ^{2}c^{3}$ [30]. The Raman enhancement (compared to the background) is then:
2.1 LDOS enhancement
A bound on LDOS enhancement due to scattering by lossy structures can be obtained starting from a result of [8]: the maximum LDOS enhancement near a scatterer with susceptibility $\chi$, in a background with Green’s function $\mathbf {G}$, is given by:
2.2 Local field enhancement
We now obtain a bound on local field concentration by using the same method as in [8] while working with a suitable figure of merit. This bound applies to scatterers of any shape and scales with the volume of the scatterer. (The focusing of thin parabolic mirrors and lenses provides an example of concentration scaling with volume.) For periodic structures, since there is finite power incident on each unit cell (and a periodic set of foci), we obtain a second bound that scales as the unit-cell area.
2.2.1 Single-point focusing (volume-scaling bound).
Let $\mathbf {x_0}$ be the position of the Raman-active molecule and $\mathbf {E_{sca}}$ be the scattered field. For Eq. (1), we want to bound $|\boldsymbol {\alpha }_{\mathrm {R}}\mathbf {E}(\mathbf {x_0})|^{2}$ where $\mathbf {E}=\mathbf {E_{sca}}+\mathbf {E_{inc}}$ is the total field. Recall that the scattered field is given by $\mathbf {E_{sca}}(\mathbf {x_0}) = \int _V \mathbf {G({x_0},{x})}\mathbf {P}$ where $\mathbf {P}=\chi \mathbf {E}$ is the polarization current [33]. As explained in [8], the fields are subject to:
2.2.2 Periodic-array focusing (area-scaling bound).
In practice, wafer-scale microfabrication techniques favor the manufacturing of repeating patterns over large areas rather than single, isolated structures. Moreover, periodic structures may offer increased SERS performances thanks to interference effects. While the previous bound is still valid for periodic structures by using the periodic Green’s function, we can also use reciprocity to relate the local field enhancement to LDOS enhancement and obtain a bound that scales as the surface area of the unit cell. We consider a “2d-periodic” structure with lattice vectors perpendicular to $\mathbf {\hat {z}}$ and a unit cell with surface area $S$. We consider both the scattering problem with an incident wavevector $\mathbf {k_0}$ and an amplitude $\mathbf {E_{inc}}$ and the reciprocal emission problem formed by a dipole placed at $\mathbf {x_0}$ with dipole moment $\mathbf {\hat {p}}=(\boldsymbol {\alpha }_{\mathrm {R}}\mathbf {\hat {e}})^{*}/|\boldsymbol {\alpha }_{\mathrm {R}}\mathbf {\hat {e}}|$ where $\mathbf {\hat {e}}$ is an arbitrary unit vector. This emission problem is $-\mathbf {k_{0\parallel }}$ Bloch-periodic and the radiated far-field can then be decomposed into planewaves with Bloch wavevectors $\mathbf {k_{\textrm {nm}}}$ and amplitudes $\mathbf {T^{p}_{\textrm {nm}}}$. Using the same method as in [28], we can relate the near field of the scattering problem $\mathbf {E({x_0})}$ to the far-field component $\mathbf {T^{p}_{\textrm {00}}}$ along $-\mathbf {k_0}$ in the emission problem through [Appendix-C]:
2.3 Raman enhancement
The bound for the Raman enhancement $q=q_{\mathrm {loc}}(\omega _P)q_{\mathrm {rad}}(\omega _R)$ is now simply obtained by multiplying the previous bounds (Eqs. (2)–(3) and Eq. (8)):
The bound of Eq. (12) is also valid for a periodic structure after substituting the appropriate periodic Green’s function, which can be integrated numerically, for the concentration enhancement term (Raman molecules emit incoherently, so the radiation enhancement is not periodic). Near-field coupling from adjacent unit cells causes the periodic Green’s function to increase as the period shrinks so that the maximal bound is obtained for the smallest possible period. However, comparison with the area-scaling bound obtained using Eq. (11) shows that this bound isn’t tight for small periods. For strong scattering and emission, this area-scaling bound is given by:
3. Geometric results
The performance of specific structures, assuming an isotropic Raman tensor $\boldsymbol {\alpha }_{\mathrm {R}}$ and a background medium of air, was evaluated using scuff-em, an open-source implementation of the boundary-element method [37,38]. Two simulations were performed for each structure: a scattering simulation to evaluate the field concentration at the Raman material’s location, and an emission simulation to evaluate the radiative LDOS [Appendix-F]. The actual performance of each structure can then be compared to its volume-specific bound by carrying the integration over the volume of the structure (in the expression of ${\left \vert \kern -0.25ex\left \vert \kern -0.25ex\left \vert {\mathbf {G}_r} \right \vert \kern -0.25ex\right \vert \kern -0.25ex\right \vert }^{2}$ in Eq. (12)), and to a shape-independent bound by carrying the integration over simple geometric structures encompassing the structure (Eq. (14)).
3.1 Isolated structures
We simulated two of the most common nanostructures used in SERS: triangular prisms used in a bowtie configuration, and a sphere. A sphere has polarizability $\alpha = 3(\epsilon -1)/(\epsilon +2)$ in the electrostatic limit [39], which permits analytical calculation of the concentrated field at resonance ($\textrm {Re}(\chi ^{-1})=-1/3$) [Appendix-E]:
Finally, it is worth noting that smaller structures get easily closer to the bound compared to larger structures. In the example of the electrostatic sphere, one notices that the ratio of its performance to the bound goes to zero as the radius $R$ increases for a fixed $d$ [Appendix-E]. While both the bound and the actual performance increase with the volume, further shape optimization is required to get closer to the limits for large structures.
3.2 Periodic structures
To investigate the potential enhancement due to periodicity, we compared the bounds for a single sphere and for a square lattice of similar spheres. We have seen that our Raman limit can be applied to periodic structures by using either of our two bounds on the near-field enhancement: Eq. (8) with the corresponding periodic Green’s function, or Eq. (11). We thus only needed to compare the near-field enhancement bounds (Fig. 3). The two approaches for the periodic bound yield different geometrical dependencies. The limit of Eq. (8) scales with the volume of the scatterer, kept constant here, and the integral of the periodic Green’s function, which decreases towards the non-periodic value as the period increases. The integral of the periodic Green’s function also appears in the limit of Eq. (11), yet alongside a factor scaling as the area of the unit cell which reduces the bound for small periods. These behaviors, expected to hold for any scatterer, are indeed observed in Fig. 3 for arrays of spheres. The actual limit is given by the smaller of the two bounds resulting in different regions in the graph as the period is varied. For periods larger than that of point P (given by Eq. (16) for large enhancement), the volume-scaling bound is limiting because of the reduced interactions between the scatterers of the array. For smaller periods, the performance of the array is limited by the area-scaling bound since the intensity received by each sphere is reduced. Between points Q and Q’, this causes the periodic limit to be smaller than the single-sphere limit. Maximum enhancement due to periodicity is still to be found at the smallest possible period, where increased interactions between the scatterers dominate the decrease in incident intensity received by each unit cell.
4. Concluding remarks
The upper bounds presented in this paper allow a simple estimate of optimal Raman enhancement for arbitrary scatterers. The results show that there is still much room for improvement for large scatterers through further shape optimization. Our analysis of periodic bounds shows the presence of different optimality regions as function of periodicity. While the use of an array can lead to a worse performance for intermediate values of the period, improvement may be still expected for very small periods.
Appendix A. Bound for a randomly oriented Raman molecule
We use $\langle .\rangle$ to denote the average over a random orientation of the Raman molecule. We can obtain a bound using:
Appendix B. Volume-scaling bound
We want maximize $|\mathbf {\hat {e}}^{\dagger } \boldsymbol {\alpha }_{\mathrm {R}}\mathbf {E_{sca}}(\mathbf {x_0})|^{2} = |(\boldsymbol {\alpha }_{\mathrm {R}}\mathbf {\hat {e}})^{\dagger } \mathbf {E_{sca}}(\mathbf {x_0})|^{2}$ which is equivalent to the following convex quadratic optimization problem:
The optimum of Eq. (19) must satisy the KKT conditions [34,35]:
Appendix C. Reciprocity relation
We study a 2d-periodic structure with unit-cell surface area $S$ and ($\mathbf {b_1},\mathbf {b_2}$) the reciprocal lattice vectors orthogonal to $\mathbf {\hat {z}}$[36]. We consider the scattering (resp. emission) problem with $\mathbf {E^{s}_{inc}} = e^{i\mathbf {k_0}\cdot \mathbf {x}} \mathbf {E_{inc}}$ (resp. $\mathbf {j} = -i\omega \delta _{\mathbf {x_0}}\mathbf {\hat {e}}$, with $-\mathbf {k_{0\parallel }}$ Bloch boundary-conditions). We can write the outgoing fields in the far field as:
From reciprocity, we have:
The integration around the lateral boundary is cancelled due to boundary conditions. We now compute the surface integral in the far-field. For $|z|$ large enough, we integrate over the cross section $S_z$:
For $z\;<\;0$, we also have:
Appendix D. Induced norm of the integral of the Green’s function
Recall that:
Appendix E. Concentration enhancement for a plasmonic sphere
In the quasistatic limit, a plane wave with amplitude $\mathbf {E_{inc}}$ incident upon a sphere excites a dipole moment:
where the polarizability $\alpha$ is given by: On resonance $\textrm {Re}\chi ^{-1} = -\frac 1 3$, such that: The field at a distance $d$ from the sphere of radius $R$ is given by:We can easily check that the performance of the sphere reaches the bound in the limit of small radius, in particular we can use:
Appendix F. Concentration and LDOS results for the sphere
The performance of each structure was evaluated using two simulations: a scattering simulation to obtain the field concentration at the Raman material’s location (Fig. 5(a)), and an emission simulation to obtain the radiative LDOS (Fig. 5(b)).
Funding
National Science Foundation (1453218, 1709212); Air Force Office of Scientific Research (FA9550-17-1-0093); Army Research Office (W911NF-13-D-0001).
Acknowledgments
The authors thank Juejun Hu for support and insightful discussions.
Disclosures
The authors declare no conflicts of interest.
References
1. D. A. Long, Raman spectroscopy (McGraw-Hill, 1977).
2. M. Moskovits, “Surface-enhanced spectroscopy,” Rev. Mod. Phys. 57(3), 783–826 (1985). [CrossRef]
3. G. Turrell and J. Corset, Raman Microscopy: Developments and Applications (Academic Press, 1996).
4. K. Kneipp, Y. Wang, H. Kneipp, L. T. Perelman, I. Itzkan, R. R. Dasari, and M. S. Feld, “Single molecule detection using surface-enhanced raman scattering (SERS),” Phys. Rev. Lett. 78(9), 1667–1670 (1997). [CrossRef]
5. S. Nie and S. R. Emory, “Probing Single Molecules and Single Nanoparticles by Surface-Enhanced Raman Scattering,” Science 275(5303), 1102–1106 (1997). [CrossRef]
6. C. L. Haynes, A. D. McFarland, and R. P. Van Duyne, “Surface-Enhanced Raman Spectroscopy,” Anal. Chem. 77(17), 338A–346A (2005). [CrossRef]
7. P. L. Stiles, J. A. Dieringer, N. C. Shah, and R. P. Van Duyne, “Surface-Enhanced Raman Spectroscopy,” Annu. Rev. Anal. Chem. 1(1), 601–626 (2008). [CrossRef]
8. O. D. Miller, A. G. Polimeridis, M. T. H. Reid, C. W. Hsu, B. G. DeLacy, J. D. Joannopoulos, M. Soljačić, and S. G. Johnson, “Fundamental limits to optical response in absorptive systems,” Opt. Express 24(4), 3329–3364 (2016). [CrossRef]
9. I. M. Vellekoop and A. P. Mosk, “Focusing coherent light through opaque strongly scattering media,” Opt. Lett. 32(16), 2309–2311 (2007). [CrossRef]
10. A. P. Mosk, A. Lagendijk, G. Lerosey, and M. Fink, “Controlling waves in space and time for imaging and focusing in complex media,” Nat. Photonics 6(5), 283–292 (2012). [CrossRef]
11. J. Zhang, M. Irannejad, and B. Cui, “Bowtie Nanoantenna with Single-Digit Nanometer Gap for Surface-Enhanced Raman Scattering (SERS),” Plasmonics 10(4), 831–837 (2015). [CrossRef]
12. P. Kühler, M. Weber, and T. Lohmüller, “Plasmonic Nanoantenna Arrays for Surface-Enhanced Raman Spectroscopy of Lipid Molecules Embedded in a Bilayer Membrane,” ACS Appl. Mater. Interfaces 6(12), 8947–8952 (2014). [CrossRef]
13. S. Dodson, M. Haggui, R. Bachelot, J. Plain, S. Li, and Q. Xiong, “Optimizing electromagnetic hotspots in plasmonic bowtie nanoantennae,” J. Phys. Chem. Lett. 4(3), 496–501 (2013). [CrossRef]
14. K. Kneipp, M. Moskovits, and H. Kneipp, eds. Surface-Enhanced Raman Scattering (Springer, 2006).
15. A. Campion and P. Kambhampati, “Surface-enhanced Raman scattering,” Chem. Soc. Rev. 27(4), 241–250 (1998). [CrossRef]
16. L. Jensen, C. M. Aikens, and G. C. Schatz, “Electronic structure methods for studying surface-enhanced Raman scattering,” Chem. Soc. Rev. 37(5), 1061–1073 (2008). [CrossRef]
17. D. P. Fromm, A. Sundaramurthy, A. Kinkhabwala, P. J. Schuck, G. S. Kino, and W. E. Moerner, “Exploring the chemical enhancement for surface-enhanced Raman scattering with Au bowtie nanoantennas,” J. Chem. Phys. 124(6), 061101 (2006). [CrossRef]
18. J. P. Camden, J. A. Dieringer, Y. Wang, D. J. Masiello, L. D. Marks, G. C. Schatz, and R. P. Van Duyne, “Probing the structure of single-molecule surface-enhanced Raman scattering hot spots,” J. Am. Chem. Soc. 130(38), 12616–12617 (2008). [CrossRef]
19. E. C. Le Ru, E. Blackie, M. Meyer, and P. G. Etchegoint, “Surface enhanced raman scattering enhancement factors: A comprehensive study,” J. Phys. Chem. C 111(37), 13794–13803 (2007). [CrossRef]
20. E. Hao and G. C. Schatz, “Electromagnetic fields around silver nanoparticles and dimers,” J. Chem. Phys. 120(1), 357–366 (2004). [CrossRef]
21. D. A. Genov, A. K. Sarychev, V. M. Shalaev, and A. Wei, “Resonant Field Enhancements from Metal Nanoparticle Arrays,” Nano Lett. 4(1), 153–158 (2004). [CrossRef]
22. A. Sundaramurthy, K. B. Crozier, G. S. Kino, D. P. Fromm, P. J. Schuck, and W. E. Moerner, “Field enhancement and gap-dependent resonance in a system of two opposing tip-to-tip Au nanotriangles,” Phys. Rev. B: Condens. Matter Mater. Phys. 72(16), 165409 (2005). [CrossRef]
23. Y. Deng, Z. Liu, C. Song, P. Hao, Y. Wu, Y. Liu, and J. G. Korvink, “Topology optimization of metal nanostructures for localized surface plasmon resonances,” Struct. Multidisc. Optim. 53(5), 967–972 (2016). [CrossRef]
24. R. E. Christiansen, J. Vester-Petersen, S. P. Madsen, and O. Sigmund, “A non-linear material interpolation for design of metallic nano-particles using topology optimization,” Comput. Methods Appl. Mech. Eng. 343, 23–39 (2019). [CrossRef]
25. E. Le Ru and P. Etchegoin, Principles of Surface-Enhanced Raman Spectroscopy: and Related Plasmonic Effects (Elsevier, 2008).
26. O. D. Miller, S. G. Johnson, and A. W. Rodriguez, “Shape-independent limits to near-field radiative heat transfer,” Phys. Rev. Lett. 115(20), 204302 (2015). [CrossRef]
27. H. Shim, L. Fan, S. G. Johnson, and O. D. Miller, “Fundamental limits to near-field optical response, over any bandwidth,” Phys. Rev. X 9(1), 011043 (2019). [CrossRef]
28. M. Benzaouia, G. Tokić, O. D. Miller, D. K. Yue, and S. G. Johnson, “From Solar Cells to Ocean Buoys: Wide-Bandwidth Limits to Absorption by Metaparticle Arrays,” Phys. Rev. Appl. 11(3), 034033 (2019). [CrossRef]
29. L. Novotny and B. Hecht, Principles of nano-optics (Cambridge University, 2006).
30. K. Joulain, J.-P. Mulet, F. Marquier, R. Carminati, and J.-J. Greffet, “Surface electromagnetic waves thermally excited: Radiative heat transfer, coherence properties and Casimir forces revisited in the near field,” Surf. Sci. Rep. 57(3-4), 59–112 (2005). [CrossRef]
31. E. D. Palik, Handbook of optical constants of solids (Academic Press, 1998).
32. P. Lancaster and M. Tismenetsky, The Theory of Matrices: with Applications (Elsevier, 1985).
33. W. C. Chew, Waves and Fields in Inhomogeneous Media (IEEE press, 1995).
34. K. Kreutz-Delgado, “The complex gradient operator and the cr-calculus,” arXiv preprint arXiv:0906.4835 (2009).
35. J. Nocedal and S. J. Wright, Numerical Optimization (Springer, 2006), 2nd ed.
36. J. D. Joannopoulos, S. G. Johnson, J. N. Winn, and R. D. Meade, Photonic Crystals: Molding the Flow of Light (Princeton University, 2008), 2nd ed.
37. M. T. H. Reid and S. G. Johnson, “Efficient Computation of Power, Force, and Torque in BEM Scattering Calculations,” IEEE Trans. Antennas Propag. 63(8), 3588–3598 (2015). [CrossRef]
38. http://github.com/homerreid/scuff-EM.
39. C. F. Bohren and D. R. Huffman, Absorption and Scattering of Light by Small Particles (Wiley, 1998).
40. M. Kaniber, K. Schraml, A. Regler, J. Bartl, G. Glashagen, F. Flassig, J. Wierzbowski, and J. J. Finley, “Surface plasmon resonance spectroscopy of single bowtie nano-antennas using a differential reflectivity method,” Sci. Rep. 6(1), 23203 (2016). [CrossRef]