Open Access

Infrared Perfect Ultra-narrow Band Absorber as Plasmonic Sensor

  • Dong Wu1,
  • Yumin Liu1Email author,
  • Ruifang Li1,
  • Lei Chen1,
  • Rui Ma1,
  • Chang Liu1 and
  • Han Ye1
Nanoscale Research Letters201611:483

Received: 8 September 2016

Accepted: 25 October 2016

Published: 2 November 2016


We propose and numerically investigate a novel perfect ultra-narrow band absorber based on a metal-dielectric-metal-dielectric-metal periodic structure working at near-infrared region, which consists of a dielectric layer sandwiched by a metallic nanobar array and a thin gold film over a dielectric layer supported by a metallic film. The absorption efficiency and ultra-narrow band of the absorber are about 98 % and 0.5 nm, respectively. The high absorption is contributed to localized surface plasmon resonance, which can be influenced by the structure parameters and the refractive index of dielectric layer. Importantly, the ultra-narrow band absorber shows an excellent sensing performance with a high sensitivity of 2400 nm/RIU and an ultra-high figure of merit of 4800. The FOM of refractive index sensor is significantly improved, compared with any previously reported plasmonic sensor. The influences of structure parameters on the sensing performance are also investigated, which will have a great guiding role to design high-performance refractive index sensors. The designed structure has huge potential in sensing application.


PlasmonicsOptical sensing and sensorsMetamaterialsAbsorption


In recent years, plasmonic metamaterials have attracted increasing interest owing to their potential applications in high sensitive photodetection [1], hot electron collection [2, 3], and biosensing [48]. Perfect narrow band absorber based on plasmonic metamaterial is a rapidly developing area of research owing to their various applications in energy harvesting [914] and thermal emitters [1518]. The localized surface plasmon resonance (LSPR) is attributed to collective behavior of electrons as the incident wave interacts with metallic nanostructures. Due to the excellent characters of LSPR in confining light at the nanoslit and transforming it into thermal energy, metallic metamaterials possess a great advantage to design absorber. So far, various perfect absorbers have been designed and demonstrated over different frequency ranges. Landy designed and demonstrated the first perfect metamaterial absorber consisting of two electric ring resonators [19]. Tao proposed and experimentally demonstrated a terahertz metamaterial absorber working over a wide range of angles of incidence, which consists of two metallic layers separated by a dielectric layer [20]. A perfect absorber is designed by Hedayati in the visible region by a combination of a metal film with suitable metal-dielectric nanocomposites [21].

When the plasmonic metamaterial structures are surrounded by gas and liquid, a spectral shift of the resonance wavelength can be occurred due to the change of refractive index of environment. Thus, in practical application, narrow band absorbers are often used as biosensor, owing to the narrower band to improve the sensing performance. In designing sensors, the wavelength sensitivity (S) and the FOM are generally used for evaluating their performance, where the sensitivity and figure of merit are defined as S = Δλ/Δn, FOM = S/FWHM respectively. The Δλ is the resonance wavelength change of reflectance spectrum, which results from the refractive index change of surrounding environment, and FWHM is the full width at half maximum of the reflectance spectrum. As we all know, the higher FOM of refractive index sensor means the bio-sensor with better performance of molecule detection. Thus, it is very meaningful to design an ultra-high FOM refractive index sensor with a simple structure. Unfortunately, the previously reported plasmonic sensors based on metamaterial structure generally have a relatively low FOM <600 [2239], which will severely limit their further development and application. Shen designed a gold mushroom array structure with a narrow FWHM of 10 nm and a high FOM of 108 [22]. Liu designed a cross-shape patch array structure with FWHM of 12 nm and S of 538 nm/RIU [23]. Lin proposed and analyzed based on bowtie nanoantenna arrays (BNAs) with a FOM of 254 [24]. Lu proposed a nanolit microcavity-based structure and demonstrated a narrower FWHM of 8 nm and a FOM of 25 [25]. Li designed and investigated a plasmonic sensor with a FOM of 120 based triple-band metamaterial [26]. Recently, Srekanth proposed a plasmonic refractive index sensor based on a hyperbolic metamaterial with a FOM of 590 [27]. So, the plasmonic sensors based on metamaterial structure in most previous studies are either complicated or have lower FOM.

In this paper, we demonstrate a novel and easily fabricated plasmonic ultra-narrow band absorber based on a two-dimensional metal-dielectric-metal-dielectric-metal (MDMDM) periodic structure, consisting of gold nanobar array and a gold thin film separated by a dielectric layer operating at the near-infrared region. As a plasmonic refractive index sensor, the structure has a high wavelength sensitivity of 2400 nm/RIU as well as an ultra-narrow absorption bandwidth (FWHM) of 0.5 nm. Thus, the FOM of the proposed plasmonic sensor can reach 4800. As far as we know, this is the highest FOM compared with previously reported plasmonic refractive index sensor [2239]. In order to evaluate the sensing performance of the plasmonic structure, we also investigate the sensitivity of the plasmonic sensor dependence on different structure parameters. By adjusting the structure parameters, the optimized absorption peak or FWHM can be achieved. Moreover, compared with previously reported plasmonic sensor, the metamaterial is simple in structure and easy to manufacture. Importantly, owing to the ultra-high FOM, the LSPR-based sensor possesses huge potential in biomedical and chemical fields.


Figure 1a illustrates the designed geometry of the metamaterial structure, which consists of gold nanobar periodic array on a thin gold film separated by a dielectric layer. The cross section of the designed structure parameters are shown in Fig. 1b. The gap d between two nanobars in one unit cell is d = 20 nm. And other structure parameters include top layer nanobar width w 1 = w 2 = w, nanobar thickness t 1, dielectric layer thickness t 2, gold film thickness t 3, and period p. In the infrared region, permittivity of gold can be reasonably characterized by the Drude model. The refractive index of the MgF2 layer is set as 1.37. The proposed structure is investigated by changing the surrounding refractive index and measuring the absorption spectra.
Fig. 1

a Schematic of one unit cell in the proposed structure. b The cross section of the designed structure parameters

To investigate the sensing performance of the designed structure, we apply two-dimensional finite-difference time-domain (FDTD) simulation in calculations. In our simulation, we set period boundary conditions in the x direction. The optimized geometric parameters of the sensor are set as follows: w = 360 nm, t 1 = 20 nm, t 2 = 10 nm, t 3 = 25 nm, t 4 = 170 nm, t 5 = 100 nm, and p = 2400 nm. A plane wave is normally incident onto the sensor along the -z direction, with its electric field E along the x direction. Because the thickness t 5 of the gold film is thick enough to forbid the transmission of the incident light (T = 0), the absorption could be simplified to be A = 1 − R.

Results and Discussion

The characteristics of the simulated absorption and reflection spectra of the designed structure are very important to evaluate the sensor performance. The absorption spectra at normal incidence for different polarization configurations are studied and shown in Fig. 2a. It is easy to observe that there exists an absorption peak for the TM polarization and no absorption occurs for the TE polarization. This feature can be well explained by the asymmetrical structure of the metamaterial. As shown in Fig. 2a, for TM polarization configuration, when the refractive index of the sensing material is 1.02, the resonance absorption peak of the structure is found at 2449.87 nm with FWHM of 0.5 nm, which is much narrower than previously reported plasmonic refractive index sensor [2239]. The magnetic field H and electric field E distributions at resonance are calculated and depicted in Fig. 2b, c, respectively. Figure 2b illustrates that the magnetic field mainly locates in the dielectric spacer among two gold nanobars and the thin gold film, which indicates the coupling effect of the nanostructures caused by LSPR. To better interpret the physical mechanism of the plasmonic absorber, the absorption spectrum is compared between the designed structure and metallic grating structure (see insert of Fig. 2d) in Fig. 2d. The absorption peak of the designed structure is obviously higher than that of the metallic grating structure. The magnetic field H and electric field E distributions of the metallic grating structure are presented in Fig. 2e, f, respectively. As shown in Fig. 2e, the magnetic field is concentrated in the surface of the gold nanobars. Then, compared with the magnetic field of the designed structure coupled into the dielectric layer in Fig. 2b, the metallic grating structure will theoretically have a poor performance in absorbing ability, which is consistent with the calculated results in Fig. 2d. Therefore, we attribute the ultra-narrow band absorption to the excitation of LSPR between each element in the designed structure. In addition, due to the grain boundary effects and the surface scattering in real thin films, the damping constant of the gold film is likely higher than that of bulk gold [23, 40]. To take this effect into consideration, we also calculate the absorption spectra for damping constant of two and three times that of bulk gold. As shown in Fig. 2g, absorbance peaks with different amplitude and FWHM are observed. The material loss would deteriorate the performance of the designed narrowband absorber [23, 40]. The coupling behavior in the metamaterial structure also can result in the enhancement of electric field intensity. Figure 2c shows that nearly all the electric field is confined to the nanoslits between gold nanobars and the thin gold film and the electric field intensity in extremely tiny volume is about 11 times larger than the incident waves, which have great potential applications in hot electron generation and biosensor.
Fig. 2

a The reflection and absorption spectra of the proposed structure under different polarization configurations. b The magnetic field distribution and c the electric field distribution at the resonant wavelength of the structure. d The comparison chart of absorption spectrum between the designed structure and metallic grating structure. e The magnetic field distribution and f the electric field distribution at the resonant wavelength of the metallic grating structure. g Simulated absorbance spectra when the damping constant of the gold film is two and three times that of bulk gold

As shown in Fig. 3, the influences of materials in dielectric layer on the reflection spectrum are investigated. Figure 3a shows that, when the refractive index of dielectric is increased from 1.1 to 1.8, the resonant wavelength of reflection spectrum redshifts slightly. We provide a comparative analysis of the reflection spectrum using three common dielectric materials (MgF 2, SiO 2, Al 2 O 3) as shown in Fig. 3b. The plasmonic sensor using MgF 2 can achieve the better sensing performance than sensors used SiO 2 and Al 2 O 3, due to the narrower FWHM and lower reflectivity dip. Figure 3c shows a blueshift of resonant wavelength with the thickness t 2 of the dielectric spacer increased. At the same time, the reflection dip and FWHM decrease with decreasing the thickness t 2 shown in Fig. 3d. This feature can be explained that the LSPR is enhanced with the decrease of distance between gold nanobars and gold film. The dielectric spacer with a thickness about 10 nm can be manufactured with standard fabrication techniques [41]. The FWHM and reflectivity dip of the reflection curve depend strongly on the coupling strength between the nanobars and the gold film. Thus, the sensing performances are different with various dielectric materials and thickness of dielectric spacer.
Fig. 3

a, b The dependence of reflective spectra of the designed structure on the index of dielectric. c The resonance wavelength as a function of dielectric spacer thickness t 2. d Reflectivity of the resonance dip and FWHM as functions of dielectric spacer thickness t 2

Figure 4 shows influence of structure parameters on the reflectance spectrum of the proposed metamaterial structure. According to Fig. 4a, when the nanobar thickness t 1 varies from 10 to 30 nm, the resonant wavelength blueshifts obviously. The resonant wavelength of reflectance spectrum redshifts slightly as the nanobar width w increases from 340 to 370 nm depicted in Fig. 4b. Figure 4c presents a blueshift of resonant wavelength with the distance between two nanobars d increased from 15 to 50 nm. Figure 5 presents the effects of structure parameters on the reflectivity dip and FWHM. Figure 5a shows that the reflectivity of the resonance dip decreases first and then increases obviously with the increase of the thickness of gold nanobar, and the value of FWHM remains at a certain level first and then decreases as the thickness t 1 increases from 10 to 30 nm. As shown in Fig. 5b, when the nanobar width w is 363 nm, the reflectivity dip is minimum, and the minimum value of FWHM can reach up to 0.36 nm when the nanobar width w is 348 nm, which is far narrower than any previously reported plasmonic sensor. In Fig. 5c, it is easy to observe that the reflectivity is strongly dependent on the distance between two nanobars and the reflectivity of the resonance dip increases obviously when the distance d changes from 15 to 50 nm. This characteristic can be attributed to the reduction of coupling effect between two nanobars with the increase of d and then the absorption is weakened. FWHM changes slightly when the distance d increases. In practical application, it is generally known that lower reflectivity and narrower FWHM of reflection spectrum is required to enhance the performance of refractive index sensor. From Fig. 5, the optimal value of FWHM and reflectivity cannot be simultaneously obtained. However, in our design, the FWHM changes slightly and the reflectivity of the resonance dip remains low in a wide range, which is favorable to practical application owing to its outstanding robustness.
Fig. 4

The reflectance spectrum as a function of top layer nanobar a thickness t 1, b width w, and c the distance between two top layer nanoribbons d, respectively. The refractive index of the surrounding environment is set as 1.02

Fig. 5

Reflectivity of the resonance dip and FWHM as functions of top layer nanobar a thickness t 1, b width w, and c the distance between two top layer nanoribbons d, respectively. The refractive index of the surrounding environment is set as 1.02

As shown in Fig. 2b, the high absorption is caused by the magnetic resonance resulting from LSPR. The equivalent LC circuit model can be used to explain the characteristics of the reflection resonant dip in this work [4246]. Here, the mutual inductance L m of the gold nanobars and gold film can be represented by L m  = 0.5 μ0 wt 2, where μ0 is the permeability of surrounding environment [4446]. Owing to the contribution of the drifting electrons to the inductance, the kinetic inductance L e is given by \( {L}_e=w/\left(\gamma {\varepsilon}_0{t}_1{\omega}_p^2\right) \), where γ is a factor considering the effective cross-sectional area of the gold nanobars, ε 0 is the dielectric permittivity of surrounding environment and ω p is the plasma frequency of the gold [4446]. On the other hand, the gap capacitance \( {C}_g=\pi {\varepsilon}_0/{ \ln}^{\left(d/{t}_1\right)} \) is used to represent the capacitance between the two nanobars. The parallel-plate capacitor C m between the upper gold nanobars and the gold film is expressed as C m  = c 1 ε 2 ε 0 w/t 2, where c 1 is a numerical factor accounting for the non-uniform charge distribution at the metal surfaces and ε 2 is the dielectric permittivity of dielectric spacer. According to the equivalent circuit model in Fig. 6, the total impedance is expressed as [4446]
Fig. 6

Schematic of the equivalent LC circuit for the structure shown in Fig. 1

$$ {Z}_{\mathrm{tot}}=\frac{i\omega \left({L}_m+{L}_e\right)}{1-{\omega}^2{C}_g\left({L}_m+{L}_e\right)}-\frac{2i}{\omega {C}_m}+i\omega \left({L}_m+{L}_e\right) $$
Then, the resonance wavelength can be obtained by zeroing the impedance. From the magnetic field distribution shown in Fig. 2b, the coupling between the two gold nanobars is much weaker than that between gold nanobars and the gold film, due to the large gap between the nanobars. When C g is less than 5 % of C m , the effect of C g can be neglected. Then, the resonance wavelength of the structure can be obtained by [45]
$$ {\lambda}_r\approx 2\pi {c}_0\sqrt{\left({L}_m+{L}_e\right){C}_m} $$
where \( {L}_m=0.5\kern0.5em {\upmu}_0{\mathrm{wt}}_2,\kern0.5em {L}_e=w/\left(\gamma {\varepsilon}_0{t}_1{\omega}_p^2\right) \) and C m  = c 1 ε 2 ε 0 w/t 2. The relationship between resonance wavelength and structural parameters (nanobar width w, nanobar thickness t 1, dielectric spacer thickness t 2) can be predicted approximately by Eq. (2). In the LC model, obviously, the resonance wavelength λ r increases with increasing the w and ε 2. The larger t 2 will cause smaller values for L e C m , while the other term L m C m is independent on the t 2. Similarly, larger t 1 will lead to smaller L e C m and the other term L m C m is also independent on the t 1. Thus, the resonance wavelength λ r decreases with increasing the thickness t 1 and t 2. These predicted resonance wavelengths are in good agreement with the simulated results on the influence of n dielectric, t 2, w, and t 1 shown in Figs. 3a, c and 4a, b. The d can only influence the value of \( {C}_g=\pi {\varepsilon}_0/{ \ln}^{\left(\mathit{\mathsf{d}}/{\mathit{\mathsf{t}}}_1\right)} \). Owing to the weakness of C g , the effect of d on resonance wavelength λ r may be extremely slight, which matches the simulated results shown in Fig. 4d quite well.
As is well known, the resonant wavelength of plasmonic nanostructures is dependent on the refractive index of the surrounding dielectric environment, a property that has been widely utilized for sensing applications. According to Eq. (2), the term L m C m will increase with increasing the dielectric permittivity ε 0 of surrounding environment and L m C m is independent on the ε 0. Therefore, the resonance of reflection redshifts as the refractive index of surrounding environment increases in the LC model. Then, the sensing characteristics of the designed metamaterial structure are investigated in Fig. 7. According to Fig. 7a, b, the resonance of reflection redshifts as the refractive index of surrounding environment increases. Particularly, in Fig. 7c, the blue to green curves present resonant wavelength of 2449.8 to 2450.1 nm when the surrounding refractive index changes from 1.0200 to 1.0201 with a step of 0.0001. It is easy to observe that this plasmonic sensor can detect a very small change of refractive index of surrounding environment. As shown in Fig. 7d, the sensitivity (S) of the sensor is 2400 nm/RIU, while FWHMs can be narrower than 0.5 nm. Therefore, the FOM of the plasmonic sensor can reach 4800, which is improved remarkably compared to any previously reported plasmonic metamaterial structure [2037].
Fig. 7

a-c Simulated reflective spectra of the sensor with different refractive index of environment. d Resonant wavelength of the sensor as a function of the surrounding refractive index

Moreover, the intensity change of reflected wave at a special wavelength can be detected in application and a relative intensity change dI/dn at the wavelength can be obtained owing to a refractive index change of surrounding environment. Then, the corresponding figure of merit is defined as FOM* = max |(dI/dn)/I|, which can be used for evaluating the ability of detecting the light intensity change of reflected wave, and I is the intensity of reflected wave at the fixed wavelength. Then, in order to more clearly describe the sensing performances of the designed metamaterial structure, we calculated the FOM and FOM* from the reflectance spectra, as shown in Fig. 8. Figure 8a shows increase of FOM varying with the thickness t 1 from 345 to 370 nm and a maximum of FOM* = 1.24 × 105 at t 1 = 23 nm. In Fig. 8b, with increasing the w, the FOM decreases obviously and has a maximum value 6666.67, which is greater than FOM of any previously reported plasmonic refractive index sensor [2037]. As shown in Fig. 8c, the FOM and FOM* increase first and then decrease as the d changes from 15 to 45 nm. These studies of this ultra-high FOM sensor will have a great guiding role to design high-performance sensors.
Fig. 8

FOM and FOM* as functions of top layer nanobar a thickness t 1, b width w, and c the distance between two top layer nanoribbons d, respectively


In this paper, using finite-difference time-domain (FDTD) simulation, we propose and numerically investigate a novel ultra-narrow bandwidth plasmonic absorber based on a MDMDM periodic structure at near-infrared wavelengths. The metamaterial absorber shows an ultra-narrow absorption bandwidth (FWHM) of 0.5 nm with absorption peaks over 98 % at normal incidence. The high absorption is ascribed to the coupling effect between gold nanobars and the gold film resulting from the excitation of LSPR. Importantly, this plasmonic structure presents excellent sensing performance with a high wavelength sensitivity of 2400 nm/RIU and an ultra-high FOM of 4800. To the best of our knowledge, this is the highest value of FOM compared with any reported plasmonic sensor to date. Then, we investigate the influence of the structure parameters on the performance of the plasmonic sensor. Moreover, the designed structure also can show the strong electric field confinement and enhancement in a nanogap region. Due to the ultra-high FOM and the high sensitivity, our metamaterial structure achieves a promising way to realize ultra-high resolution refractive index sensor based on LSPR, which has great potential in biomedical and chemical applications.



Nanoantenna arrays


Finite-difference time-domain


Figure of merit


Full width at half maximum


Localized surface plasmon resonance





This work was supported by the Ministry of Science and technology of China (Grant No. 2016YFA0301300), National Natural Science Foundation of China (Grants Nos. 61275201 and No. 61372037), and Beijing Excellent Ph.D. Thesis Guidance Foundation (Grant No. 20131001301).

Authors’ Contributions

DW, YL, and RL designed the study and analyzed the data. LC, RM, and CL supervised the writing of the manuscript. HY created the figures. All authors read and approved the final manuscript.

Competing Interests

The authors declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications


  1. Tang L, Kocabas SE, Latif S, Okyay AK, Ly-Gagnon DS, Saraswat KC, Miller DAB (2008) Nanometre-scale germanium photodetector enhanced by a near-infrared dipole antenna. Nat Photon 2:226–229View ArticleGoogle Scholar
  2. Chu Y, Schonbrun E, Yang T, Crozier KB (2008) Experimental observation of narrow surface plasmon resonances in gold nanoparticle arrays. Appl Phys Lett 93:181108View ArticleGoogle Scholar
  3. Auguie B, Barnes WL (2008) Collective resonances in gold nanoparticle arrays. Phys Rev Lett 101:143902View ArticleGoogle Scholar
  4. Anker JN, Hall WP, Lyandres O, Shah NC, Zhao J, VanDuyne RP (2008) Biosensing with plasmonic nanosensors. Nat Mater 7:442–453View ArticleGoogle Scholar
  5. Brolo AG (2012) Plasmonics for future biosensors. Nat Photonics 6:709–713View ArticleGoogle Scholar
  6. Stewart ME, Anderton CR, Thompson LB, Maria J, Gray SK, Rogers JA, Nuzzo RG (2008) Nanostructured plasmonic sensors. Chem Rev 108:494–521View ArticleGoogle Scholar
  7. Kabashin AV, Evans P, Pastkovsky S, Hendren W, Wurtz GA, Atkinson R, Pollard R, Podolskiy VA, Zayats AV (2009) Plasmonic nanorod metamaterials for biosensing. Nat Mater 8:867–871View ArticleGoogle Scholar
  8. Gao YK, Gan QQ, Xin ZM, Cheng XH, Bartoli FJ (2011) Plasmonic Mach-Zehnder interferometer for ultrasensitive on-chip biosensing. ACS Nano 5:9836–9844View ArticleGoogle Scholar
  9. Vora A, Gwamuri J, Pala N, Kulkarni A, Pearce JM, Güney DO (2014) Exchanging ohmic losses in metamaterial absorbers with useful optical absorption for photovoltaics. Sci Rep 4:4901View ArticleGoogle Scholar
  10. Wang Y, Sun T, Paudel T, Zhang Y, Ren Z, Kempa K (2012) Metamaterial-plasmonic absorber structure for high efficiency amorphous silicon solar cells. Nano Lett 12:440–445View ArticleGoogle Scholar
  11. Guo CF, Sun T, Cao F, Liu Q, Ren Z (2014) Metallic nanostructures for light trapping in energy-harvesting devices. Light Sci Appl 3, e161View ArticleGoogle Scholar
  12. Atwater HA, Polman A (2010) Plasmonics for improved photovoltaic devices. Nat Mater 9:205–213View ArticleGoogle Scholar
  13. Peng Y, Jiang W, Eric A, Alexander G, Zhiming W (2016) Dual-band absorber for multispectral plasmon-enhanced infrared photodetection. J Phys D Appl Phys 49:365101View ArticleGoogle Scholar
  14. Guanhai L, Xiaoshuang C, Oupeng L, Chengxue S, Yuan J, Lujun H, Bo N, Weida H, Wei L (2012) A novel plasmonic resonance sensor based on an infrared perfect absorber. J Phys D Appl Phys 45:205102View ArticleGoogle Scholar
  15. Liu X, Tyler T, Starr T, Starr AF, Jokerst NM, Padilla WJ (2011) Taming the blackbody with infrared metamaterials as selective thermal emitters. Phys Rev Lett 107:045901View ArticleGoogle Scholar
  16. Argyropoulos C, Le KQ, Mattiucci N, Aguanno GD, Alu A (2013) Broadband absorbers and selective emitters based on plasmonic Brewster metasurfaces. Phys Rev B 87:205112View ArticleGoogle Scholar
  17. Li Z, Butun S, Aydin K (2014) Ultranarrow band absorbers based on surface lattice resonances in nanostructured metal surfaces. ACS Nano 8:8242–8248View ArticleGoogle Scholar
  18. Chanda D, Shigeta K, Truong T, Lui E, Mihi A, Schulmerich M, Braun PV, Bhargava R, Rogers JA (2011) Coupling of plasmonic and optical cavity modes in quasi-three-dimensional plasmonic crystals. Nat Commun 2:479View ArticleGoogle Scholar
  19. Landy NI, Sajuyigbe S, Mock JJ, Smith DR, Padilla WJ (2008) Perfect metamaterial absorber. Phys Rev Lett 100:207402View ArticleGoogle Scholar
  20. Tao H, Bingham CM, Strikwerda AC, Pilon D, Shrekenhamer D, Landy NI, Fan K, Zhang X, Padilla WJ, Averitt RD (2008) Highly flexible wide angle of incidence terahertz metamaterial absorber: design, fabrication, and characterization. Phys Rev B 78:241103View ArticleGoogle Scholar
  21. Hedayati MK, Javaherirahim M, Mozooni B, Abdelaziz R, Tavassolizadeh A, Chakravadhanula VSK, Zaporojtchenko V, Strunkus T, Faupel F, Elbahri M (2011) Design of a perfect black absorber at visible frequencies using plasmonic metamaterials. Adv Mater 23:5410–5414View ArticleGoogle Scholar
  22. Shen Y, Zhou J, Liu T, Tao Y, Jiang R, Liu M, Xiao G, Zhu J, Zhou ZK, Wang X, Jin C, Wang J (2013) Plasmonic gold mushroom arrays with refractive index sensing figures of merit approaching the theoretical limit. Nat Commun 4:2381Google Scholar
  23. Liu N, Mesch M, Weiss T, Hentschel M, Giessen H (2010) Infrared perfect absorber and its application as plasmonic sensor. Nano Lett 10:2342–2348View ArticleGoogle Scholar
  24. Lin LH, Zheng YB (2015) Optimizing plasmonic nanoantennas via coordinated multiple coupling. Sci Rep 5:14788View ArticleGoogle Scholar
  25. Lu X, Zhang L, Zhang T (2015) Nanoslit-microcavity-based narrow band absorber for sensing applications. Opt Express 23:20715–20720View ArticleGoogle Scholar
  26. Li YL, An BW, Jiang SM, Gao J, Chen YL, Pan SD (2015) Plasmonic induced triple-band absorber for sensor application. Opt Express 23:17607–17612View ArticleGoogle Scholar
  27. Sreekanth KV, Alapan Y, ElKabbash M, Ilker E, Hinczewski M, Gurkan UA, De Luca A, Strangi G (2016) Extreme sensitivity biosensing platform based on hyperbolic metamaterials. Nat Mater 6:4609Google Scholar
  28. Liu SD, Qi X, Zhai WC, Chen ZH, Wang WJ, Han JB (2015) Polarization state-based refractive index sensing with plasmonic nanostructures. Nanoscale 7:20171–20179View ArticleGoogle Scholar
  29. Kubo W, Fujikawa S (2011) Au double nanopillars with nanogap for plasmonic sensor. Nano Lett 11:8–15View ArticleGoogle Scholar
  30. Fang JH, Levchenko I, Yan W, Aharonovich I, Aramesh M, Prawer S, Ostrikov K (2015) Plasmonic metamaterial sensor with ultra-high sensitivity in the visible spectral range. Adv Optical Mater 3(6):750–755View ArticleGoogle Scholar
  31. Verellen N, Van Dorpe P, Huang CJ, Lodewijks K, Vandenbosch GAE, Lagae L, Moshchalkov VV (2011) Plasmon line shaping using nanocrosses for high sensitivity localized surface plasmon resonance sensing. Nano Lett 11:391–397View ArticleGoogle Scholar
  32. Liu ZQ, Liu GQ, Huang S, Liu XS, Pan PP, Wang Y, Gu G (2015) Multispectral spatial and frequency selective sensing with ultra-compact cross-shaped antenna plasmonic crystals. Sens Actuator B-Chem 215:480–488View ArticleGoogle Scholar
  33. Xiong X, Jiang SC, Hu YH, Peng RW, Wang M (2013) Structured metal film as a perfect absorber. Adv Mater 25:3994–4000View ArticleGoogle Scholar
  34. Le Perchec J, Quémerais P, Barbara A, López-Ríos T (2008) Why metallic surfaces with grooves a few nanometers deep and wide may strongly absorb visible light. Phys Rev Lett 100:066408View ArticleGoogle Scholar
  35. Pardo F, Bouchon P, Haïdar R, Pelouard JL (2011) Light funneling mechanism explained by magnetoelectric interference. Phys Rev Lett 107:093902View ArticleGoogle Scholar
  36. Polyakov A, Thompson KF, Dhuey SD, Olynick DL, Cabrini S, Schuck PJ, Padmore HA (2012) Plasmon resonance tuning in metallic nanocavities. Sci Rep 2:933View ArticleGoogle Scholar
  37. Aydin K, Ferry VE, Briggs RM, Atwater HA (2011) Broadband polarization-independent resonant light absorption using ultrathin plasmonic super absorbers. Nat Commun 2:517View ArticleGoogle Scholar
  38. Butun S, Aydin K (2014) Structurally tunable resonant absorption bands in ultrathin broadband plasmonic absorbers. Opt Express 22:19457–19468View ArticleGoogle Scholar
  39. Shiwen Luo, Jun Zhao, Duluo Zuo, Xinbing Wang (2016) Perfect narrow band absorber for sensing applications. OPTICS EXPRESS 24:9288–9294Google Scholar
  40. Liu N, Weiss T, Mesch M, Langguth L, Eigenthaler U, Hirscher M, Sonnichsen C, Giessen H (2010) Planar metamaterial analogue of electromagnetically induced transparency for plasmonic sensing. Nano Lett 10(4):1103–1107View ArticleGoogle Scholar
  41. Sreekanth KV, ElKabbash M, Alapan Y, Rashed AR, Gurkan UA, Strangi G (2016) A multiband perfect absorber based on hyperbolic metamaterials. Sci Rep 6:26272View ArticleGoogle Scholar
  42. Wang H, Wang LP (2015) Tailoring thermal radiative properties with film-coupled concave grating metamaterials. J Quant Spectrosc Radiat Transfer 158:127–135View ArticleGoogle Scholar
  43. Bai Y, Zhao L, Ju DQ, Jiang YY, Liu LH (2015) Wide-angle, polarization-independent and dual-band infrared perfect absorber based on L-shaped metamaterial. Opt Express 23(7):8670–8680View ArticleGoogle Scholar
  44. Feng R, Qiu J, Liu LH, Ding WQ, Chen LX (2014) Parallel LC circuit model for multi-band absorption and preliminary design of radiative cooling. Opt Express 22(25):A1713–A1724View ArticleGoogle Scholar
  45. Wang H, Wang LP (2013) Perfect selective metamaterial solar absorbers. Opt Express 21(22):A1078–A1093View ArticleGoogle Scholar
  46. El-Aasser MA (2014) Design optimization of nanostrip metamaterial perfect absorbers. J Nanophotonics 8:083085View ArticleGoogle Scholar


© The Author(s). 2016