Self-Referenced Plasmon Waveguide Resonance Sensor Using Different Waveguide Modes

Zhang, Pengfei; Liu, Le; He, Yonghong; Ji, Yanhong; Ma, Hui

doi:https://doi.org/10.1155/2015/945908

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Research Article | Open Access

Volume 2015 | Article ID 945908 | https://doi.org/10.1155/2015/945908

Self-Referenced Plasmon Waveguide Resonance Sensor Using Different Waveguide Modes

Pengfei Zhang,^1,2Le Liu,³Yonghong He,^1,2Yanhong Ji,⁴and Hui Ma^1,2

Academic Editor: Jae Ho Han

Received21 Aug 2014

Revised30 Oct 2014

Accepted06 Nov 2014

Published28 Jan 2015

Abstract

We report a plasmon waveguide resonance (PWR) sensing structure supporting two waveguide modes for self-referenced measurement. We show theoretically the dual mode PWR sensing structure owns unique opportunities for self-referenced measurement, and the accuracy and cross sensitivity can be optimized by simply varying the gold film thickness or dielectric layer thickness or dielectric film refractive index. This structure may provide an approach owning good compatibility with the surface plasmon resonance and PWR biosensors for self-referenced biosensing.

1. Introduction

Surface plasmon is electromagnetic surface wave propagating along the interface of two materials with real dielectric constants of opposite signs. The surface plasmon resonance (SPR) is a sensing approach measuring the refractive index (RI) changes within the evanescent field of these waves [1]. The SPR has the advantage of high sensitivity and permits label free molecular interaction analysis in real time, which has become a central method for characterizing and quantifying biomolecular interactions [2–4]. The variations within the evanescent field can change the SPR propagation constant which results in a change in the sensor output, and these variations can be divided into the surface and bulk effects corresponding to the thickness change of the binding surface layer and bulk RI change, respectively [5]. In the practical applications, the surface effects usually need to be distinguished for specific detection, which is especially significant for the biosensing [2, 6]. However, the typical SPR supporting only one surface plasmon mode cannot distinguish the surface and bulk effects. As a solution to this problem, the dual mode SPR sensors for self-referenced measurement are developed. The dual mode SPR sensors are usually based on the long range SPR sensing structure, which is constructed by sandwiching a dielectric layer between the prism and metal film in the SPR structure. The dual mode SPR sensors can simultaneously support the long and short range surface plasmon modes with different penetration depths, where the surface and bulk effects can be distinguished owing to the different sensitivity factors to the surface and bulk effect in different surface plasmon modes [7]. The optimal dual mode SPR sensors based on the wavelength interrogation [8], angular interrogation [9], and bimetallic film [10] were developed recently.

Plasmon waveguide resonance (PWR) is an extension of the SPR and is usually constructed by sequentially coating a dielectric layer on the metal surface in SPR sensors. The PWR sensors own high stability and enhanced evanescent field due to the shield and optical amplification effects of dielectric layer and permit the measurement in both transverse magnetic (TM) and transverse electric (TE) modes owing to the transformation of the admittance [11, 12]. But the PWR sensors were usually applied for bulk RI sensing due to the long penetration depth of the evanescent field [13]. To improve the PWR sensor performance in the surface sensing, recently the self-referenced PWR sensing method was proposed utilizing different penetration depths of the TM and TE modes [14]. This self-referenced PWR sensor has better performance than the SPR in the RI sensing. But compared with the dual mode SPR sensors, this sensor cannot allow the simultaneous measurement in different modes because the measurements in the TM and TE modes at one sensor spot need to be time-multiplexed.

In this paper we report a PWR structure using different waveguide modes with different penetration depths in TM mode for self-referenced measurement. We pay attention to the feasibility of the two waveguide modes’ simultaneous excitation using a monochrome angular interrogation in this sensing film structure. In this case, one can use the conventional angular SPR sensors for self-reference. We show this sensing structure can be optimized for high accuracy of finding resonance position and low cross sensitivity between the surface and bulk responses. Besides, the sensor chip fabrications are also discussed for suitable materials to construct this sensor.

2. Principle of the Self-Referenced PWR

The key point of the self-referenced measurement is the different sensitivity factors for surface and bulk effects, which is corresponding to different penetration depths, in different modes. Inspired by different waveguide modes existence in the dielectric layer with different RI [15], we assume there will be different waveguide modes changing another parameter of the dielectric layer, namely, the thickness. In this study, we employ the typical PWR sensing structure shown in Figure 1(a), where a thin gold film of 50 nm and the silica film are sequentially coated on a BK7 prism. The water, a common material in nature, is employed as the sample and the incident wavelength is fixed at the 632.8 nm. After increasing the thickness of dielectric layer to 1000 nm, which is thicker than hundreds of nanometers in the typical PWR [11–13], we calculate the reflection angular spectrum and the electric field strength distribution using the Fresnel formula and Maxwell equations as shown in Figures 1(b) and 1(c), respectively. To show different penetration depths of TM1 and TM2 modes, the normalized electric field strength distribution in the water is shown in Figure 1(d). The refractive indices of the prism, gold, silica, and water used in the simulation are 1.515, 0.133 + 3.654, 1.46, and 1.33, respectively. The accuracy difference is because the silica film owns different silicon/oxygen ratio with different coating process so the reported RI is different [16, 17], and the water RI varies with the density at room temperature and fixed incident wavelength so it is not stable in different experiments [18]. So the accuracy of refractive indices of silica and water is lower than the optical glass prism and gold, whose refractive indices are usually stable with a given incident wavelength at room temperature [19].

(a)

(b)

(c)

(d)

Figure 1

(a) The schematic of the plasmon waveguide resonance sensing structure. (b) The angular reflectance spectrum. The gold and silica films have the thickness of 50 and 1000 nm, respectively. The refractive indices of the prism, gold, silica, and water are 1.515, 0.133 + 3.654, 1.46, and 1.33, respectively. The incident wavelength is 632.8 nm. (c) The electric field strengths in different waveguide modes under resonance condition are plotted against the distance from the prism surface. (d) The normalized electric field strengths in different waveguide modes under resonance conditions are plotted against the distance from the film/water interface.

It can be seen from Figures 1(b) and 1(c) that there are two resonance dips in the TM modes, namely, the TM1 and TM2 modes. The TM1 mode exists in the conventional PWR sensor. With the increasing thickness of the silica layer, the resonance angle, which is the incident angle affording the minimum reflectance intensity, in the TM1 mode shifts to the large value compared with the reported results in [13]. That may be caused by the increasing effective RI within the evanescent field due to the silica owning larger RI than the water. This can be also seen from the electric field distribution shown in Figure 1(c), where the penetration depth in the TM1 mode in the water is shortened because the electric field is mostly limited in the silica layer. Owing to these, the penetration depths in TM1 and TM2 modes are different in this sensing structure. This makes this sensor possible for self-referenced measurement. Then we will discuss the surface and bulk sensitivity factors of this sensor based on the linear sensor response model [7]. The resonance angle shifts in the TM1 and TM2 modes, and , are given bywhere the and are the surface sensitivity factors in degree-angle/nanometer-thickness for TM1 and TM2 modes and the and are the bulk sensitivities in degree-angle/refractive index unit (RIU) for TM1 and TM2 modes. The and are the binding layer thickness change in nanometer and the bulk RI change in RIU, respectively. In the experiment, if we know the sensitivity factors and resonance angle shifts, the surface layer thickness and bulk RI changes can be calculated as

It can be seen that the , , , and are the dominant performance indices in the self-referenced measurement. So the self-referenced sensor characteristic is usually evaluated with the difference in the sensitivity ratios aswhere the figure of merit is inversely proportional to the cross sensitivity [7]. The higher figure of merit indicates better ability to distinguish the surface and bulk effects. We suppose the RI of the binding layer is 1.48 (proteins) and calculate the sensitivity factors in two modes. The bulk and surface sensitivity factors can be calculated withwhere is the resonance angle, is the RI of sample, and is the thickness of binding layer [5]. The bulk sensitivity factors in TM1 and TM2 modes are calculated to be 6.6 and 39.2 degrees per RIU, and the surface sensitivity factors in TM1 and TM2 modes are calculated to be 0.0083 and 0.0144 degrees per nanometer, respectively. So the is approximately 4 in the simulation, which is comparable with the reported values [7–10]. Considering this, we believe that we propose a PWR sensing structure which is feasible for self-referenced measurement.

3. Numerical Analysis of the Self-Referenced PWR

The angular reflectance spectrum in the transverse magnetic (TM) mode can be calculated using the multiple reflectance theory and Fresnel formula withwhere is the total layer number, and are the dielectric constant and thickness of the th layer, and are the angular frequency and incident angle of the incident light, and is the light speed in the vacuum, respectively [20, 21].

In this study, the electric field strength distribution in the self-referenced PWR sensing film structure can be calculated using the algorithm proposed by Hansen [22] and Tien and Ulrich [23]. Firstly, the field components of the electromagnetic wave propagating in each layer can be calculated withwhere , , , and are the refractive indices of the prism, gold film, dielectric film, and samples, is the distance from the prism surface, and are the thickness of the gold film and dielectric film, and and are the incident angle and electric field strength of the incident light, respectively. Then, the electric field strength in the gold film , dielectric film , and samples can be calculated using

In the multilayer system, the thicknesses of different layers are of importance for the sensor characteristics. So we discuss the influence of the thickness of layer on the figure of merit and accuracy of finding resonance position. The accuracy of finding resonance position is estimated using the combined sensitivity factor (CSF) [24] aswhere the is the incident angle, and are the maximum and minimum normalized reflectance, FWHM is the full width at half maximum, and is the sensitivity factor. The surface and bulk CSFs are calculated using the surface and bulk sensitivities, respectively.

We study the effect of the thickness change of the gold film firstly. The thickness of the silica film is fixed to be 1000 nm. The figure of merit, surface CSF, and bulk CSF with the gold film of 40, 45, 50, 55, 60, 65, and 70 nm are calculated and shown in Figures 2(a), 2(b), and 2(c), respectively. It can be seen that all three performance indices do not respond to the gold film thickness monotonously. The figure of merit, which is the most important estimate function in the self-referenced measurement, gets the maximum value at the gold film of approximately 65 nm. But the surface and bulk CSFs in the TM1 and TM2 modes all achieve the best values at the range of approximately 55 nm to 60 nm. While the figure of merit at the gold film of 55 nm or 60 nm is a little lower than the value at the gold film of 65 nm, the CSFs at the gold film of 65 nm are worse than the values at the gold film of 55 nm and 60 nm obviously. After trading off the cross sensitivity and the accuracy of finding the resonance position, we consider that the 55 or 60 nm should be the optimization thickness for the gold film in this structure. For further confirmation, the angular reflectance spectra at the gold film of 55 and 60 nm are calculated and shown in Figure 2(d). It can be seen that there is better extinction ratio in the angular spectrum at the gold film of 55 nm. This will be beneficial for the resonance angle measurement in the practical terms [25, 26]. In this discussion, we choose the interval of 5 nm changing the gold film thickness. This is because there are always thickness errors in the vacuum film coating that have been studied in our previous work [27], so we think it should be unnecessary to use smaller interval. Considering these, we think the optimization thickness of the gold film is 55 nm in this structure.

(a)

(b)

(c)

(d)

The characteristics of the surface plasmon based optical sensors are usually corresponding to the electric field distributions of the evanescent field [28]. To illustrate the optimal gold film thickness of 55 nm, the electric field strength distributions of the evanescent fields in TM1 and TM2 waveguide modes are calculated and shown in Figures 3(a) and 3(b) with different gold film thickness. It could be seen from Figure 3 that the electric field strengths are both lower when the gold film thickness is thinner or thicker than the optimal thickness. This may be because the incident light could not be efficiently coupled to the waveguide modes via the surface plasmons existing on the gold film surface due to the matching relations in the multilayer system. In summary, this PWR sensor has better characteristics when the gold film owns optimal thickness.

(a)

(b)

After optimizing the gold film thickness to be 55 nm, we discuss the effect of the silica film thickness on the sensor characteristics. We should point out that the two waveguide modes in the silica layer should maintain a large RI range. Under room temperature, the water RI varies from 1.33 to 1.34 in the visible light wavelength region [18]. So we change the water RI from 1.33 to 1.34 to test the angular reflectance spectrum in this sensor. We calculate the angular reflectance spectra with the silica film of 900 nm, 950 nm, and 1000 nm and show them in Figure 4(a). It can be seen that the angular reflectance spectra in TM2 mode cannot maintain good resonance curve in this range until the silica film thickness increases to 1000 nm. Then we increase the silica film thickness and the bulk CSFs, surface CSFs, and figure of merit in the TM1 and TM2 modes are calculated and shown in Figures 4(b), 4(c), and 4(d), respectively. Different from the gold film, the silica film thickness increase has negative effect on all three performance indices. It may be because the electric fields in two modes are more limited in the silica film with increasing the silica film thickness. The electric field distributions of the evanescent fields existing in the water under resonance conditions in TM1 and TM2 waveguide modes are calculated as shown in Figures 5(a) and 5(b), respectively. It can be seen from Figure 5 that the electric field strengths of evanescent fields in two waveguide modes both decrease with increasing the silica film thickness. In summary, the optimization silica film thickness is exactly the critical thickness, where the two waveguide modes just can maintain the good resonance curves. So the optimization thickness of the gold and silica films in this structure is 55 and 1000 nm, respectively.

(a)

(b)

(c)

(d)

(a)

(b)

4. Discussion

There are six parameters (e.g., prism RI, metal film thickness and RI, dielectric layer thickness and RI, and incident wavelength) in this self-referenced PWR sensor so there will be more opportunities for minimizing the cross sensitivity and improving the accuracy of finding the resonance position. It has been pointed out that the performance of conventional PWR sensor can be improved by lowering the RI of dielectric layer [29]. Then we employ magnesium fluoride (MgF₂) with RI of 1.38, which has also been used in the PWR sensor [12], instead of the silica with the RI of 1.46 as the dielectric layer. We have known that the optimization dielectric layer thickness is the critical thickness. The gold film of 55 nm is also employed as the metal film. To confirm the critical thickness of MgF₂ layer, the angular reflectance spectra with the MgF₂ layer thickness of 1600 nm and 1650 nm measuring the RI of 1.33 and 1.34 are calculated and shown in Figure 6(a). It can be seen from Figure 6(a) that the critical thickness of MgF₂ layer for the self-referenced measurement is 1650 nm. The electric field distribution with MgF₂ layer thickness of 1650 nm is calculated and shown in Figure 6(b). It can be seen from Figure 6(b) that the electric field distribution in this system is similar to the gold-silica systems shown in Figure 1. To compare the sensing characteristics of two structures, the angular reflectance spectra with the MgF₂ film of 1650 nm and silica film of 1000 nm are calculated and shown in Figure 7(a). Then we calculate the electric field distributions of the evanescent fields in the water in the TM1 and TM2 waveguide modes in both sensing structures and show them in Figure 7(b).

(a)

(b)

Figure 6

(a) The angular reflectance spectra with the MgF₂ film thickness of 1600 nm and 1650 nm measuring the samples with different refractive indices. (b) The electric field strengths in different waveguide modes under resonance condition are plotted against the distance from the prism surface. The gold film has the thickness of 55 nm. The refractive indices of the prism, gold, silica, and water are 1.515, 0.133 + 3.654, 1.46, and 1.33, respectively. The incident wavelength is 632.8 nm.

(a)

(b)

Figure 7

(a) The comparison of angular reflectance spectra with silica film and MgF₂ film as the dielectric layers. The gold film, silica film, and MgF₂ film have the thickness of 55 nm, 1000 nm, and 1650 nm. The refractive indices of the prism, gold, silica, MgF₂, and water are 1.515, 0.133 + 3.654, 1.46, 1.38, and 1.33, respectively. The incident wavelength is 632.8 nm. (b) The electric field strengths in different waveguide modes under resonance condition are plotted against the distance from the film/water interface.

It can be seen that the resonance curves in the gold-MgF₂ structure are sharper than the gold-silica structure. The surface and bulk CSFs in the TM2, TM1 modes are 0.13 and 528, 0.11 and 136 in the gold-MgF₂ structure, which are better than the 0.088 and 239, 0.059 and 47 in the gold-silica structure. The figure of merit, essential performance index in the self-referenced measurement, is 5.31 in the gold-MgF₂ structure, which is better than the gold-silica film structure with the value of 4.18 and the reported values of 1.4 [7], 1.46 [8], 5.0 [9], 3.8 [10], and 4.7 [14]. The improvement by the employment of MgF₂ can be owing to the enhanced electric field shown in Figure 7(b). It can be seen that the electric fields in the analyte are both enhanced in the TM1 and TM2 modes. There is an additional advantage of the gold-MgF₂ structure; the resonance angle difference between two waveguide modes is less than 3 degrees, which is comparable with the reported long range SPR structure [9] but much less than the reported self-referenced PWR using TM and TE modes [14]. This will lead to easier detection module arrangement in the practical terms. This discussion shows this self-referenced PWR sensing structure owns good potential to be improved owing to the multisensor parameters.

5. Conclusion

In this paper, we report a PWR sensing structure supporting two waveguide modes for self-referenced measurement. By simply increasing the dielectric layer thickness, the sensing structure supporting two waveguide modes with different penetration depths in the analyte can be constructed. We have optimized the structure in terms of high accuracy and low cross sensitivity for both modes. The optimized dual mode chip with gold-silica structure owns a figure of merit of 4.18. After using the gold-MgF₂ structure, the figure of merit is improved to 5.31. The detection operation can be accomplished with only the TM polarized incident light using the attenuated total reflection manner, so it provides a self-referenced approach with good compatibility for the common SPR and PWR sensors. Further work is required for experimental demonstration of the feasibility of this structure.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This research was made possible with the financial support from NSFC China (61275188, 61378089, and 61361160416), the 863 project, China, and the Technology Development Program of Shenzhen City.

References

J. Homola, S. S. Yee, and G. Gauglitz, “Surface plasmon resonance sensors: review,” Sensors and Actuators, B: Chemical, vol. 54, no. 1, pp. 3–15, 1999.
View at: Publisher Site | Google Scholar
J. Homola, “Surface plasmon resonance sensors for detection of chemical and biological species,” Chemical Reviews, vol. 108, no. 2, pp. 462–493, 2008.
View at: Publisher Site | Google Scholar
B. D. Gupta and R. K. Verma, “Surface plasmon resonance-based fiber optic sensors: principle, probe designs, and some applications,” Journal of Sensors, vol. 2009, Article ID 979761, 12 pages, 2009.
View at: Publisher Site | Google Scholar
L. Liu, S. Ma, Y. Ji et al., “A two-dimensional polarization interferometry based parallel scan angular surface plasmon resonance biosensor,” Review of Scientific Instruments, vol. 82, no. 2, Article ID 023109, 2011.
View at: Publisher Site | Google Scholar
J. T. Hastings, “Optimizing surface-plasmon resonance sensors for limit of detection based on a Cramer-Rao bound,” IEEE Sensors Journal, vol. 8, no. 2, pp. 170–175, 2008.
View at: Publisher Site | Google Scholar
Z. Liu, L. Liu, X. Wang et al., “Polarization-interferometry-based wavelength-interrogation surface plasmon resonance imager for analysis of microarrays,” Journal of Biomedical Optics, vol. 17, no. 3, Article ID 036002, 2012.
View at: Publisher Site | Google Scholar
R. Slavík, J. Homola, and H. Vaisocherová, “Advanced biosensing using simultaneous excitation of short and long range surface plasmons,” Measurement Science and Technology, vol. 17, no. 4, pp. 932–938, 2006.
View at: Publisher Site | Google Scholar
J. T. Hastings, J. Guo, P. D. Keathley et al., “Optimal self-referenced sensing using long- and short-range surface plasmons,” Optics Express, vol. 15, no. 26, pp. 17661–17672, 2007.
View at: Publisher Site | Google Scholar
J. Guo, P. D. Keathley, and J. T. Hastings, “Dual-mode surface-plasmon-resonance sensors using angular interrogation,” Optics Letters, vol. 33, no. 5, pp. 512–514, 2008.
View at: Publisher Site | Google Scholar
G. Dyankov, M. Zekriti, and M. Bousmina, “Dual-mode surface-plasmon sensor based on bimetallic film,” Applied Optics, vol. 51, no. 13, pp. 2451–2456, 2012.
View at: Publisher Site | Google Scholar
Z. Salamon, H. A. Macleod, and G. Tollin, “Coupled plasmon-waveguide resonators: a new spectroscopic tool for probing proteolipid film structure and properties,” Biophysical Journal, vol. 73, no. 5, pp. 2791–2797, 1997.
View at: Publisher Site | Google Scholar
H. Shi, Z. Y. Liu, X. X. Wang et al., “A symmetrical optical waveguide based surface plasmon resonance biosensing system,” Sensors and Actuators B: Chemical, vol. 185, pp. 91–96, 2013.
View at: Publisher Site | Google Scholar
F. Bahrami, M. Maisonneuve, M. Meunier, J. Stewart Aitchison, and M. Mojahedi, “An improved refractive index sensor based on genetic optimization of plasmon waveguide resonance,” Optics Express, vol. 21, no. 18, pp. 20863–20872, 2013.
View at: Publisher Site | Google Scholar
F. Bahrami, M. Maisonneuve, M. Meunier, J. S. Aitchison, and M. Mojahedi, “Self-referenced spectroscopy using plasmon waveguide resonance biosensor,” Biomedical Optics Express, vol. 5, no. 8, pp. 2481–2487, 2014.
View at: Publisher Site | Google Scholar
Y. Fan, K. Hotta, A. Yamaguchi, and N. Teramae, “Enhanced fluorescence in a nanoporous waveguide and its quantitative analysis,” Optics Express, vol. 20, no. 12, pp. 12850–12859, 2012.
View at: Publisher Site | Google Scholar
S. Szunerits and R. Boukherroub, “Preparation and characterization of thin films of SiO_x on gold substrates for surface plasmon resonance studies,” Langmuir, vol. 22, no. 4, pp. 1660–1663, 2006.
View at: Publisher Site | Google Scholar
H. Imai, M. Yasumori, H. Hirashima, K. Awazu, and H. Onuki, “Significant densification of sol-gel derived amorphous silica films by vacuum ultraviolet irradiation,” Journal of Applied Physics, vol. 79, no. 11, pp. 8304–8309, 1996.
View at: Publisher Site | Google Scholar
P. Schiebener, J. Straub, J. M. H. L. Sengers, and J. S. Gallagher, “Refractive index of water and steam as function of wavelength, temperature and density,” Journal of Physical and Chemical Reference Data, vol. 19, no. 3, pp. 677–717, 1990.
View at: Google Scholar
S. K. Ozdemir and G. Turhan-Sayan, “Temperature effects on surface plasmon resonance: design considerations for an optical temperature sensor,” Journal of Lightwave Technology, vol. 21, no. 3, pp. 805–814, 2003.
View at: Publisher Site | Google Scholar
O. S. Heavens, Optical Properties of Thin Films, Dover, New York, NY, USA, 1955.
M. Born and E. Wolf, Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light, CUP Archive, 1999.
W. N. Hansen, “Electric fields produced by the propagation of plane coherent electromagnetic radiation in a stratified medium,” Journal of the Optical Society of America, vol. 58, no. 3, pp. 380–390, 1968.
View at: Google Scholar
P. K. Tien and R. Ulrich, “Theory of prism-film coupler and thin-film light guides,” Journal of the Optical Society of America, vol. 60, no. 10, pp. 1325–1337, 1970.
View at: Publisher Site | Google Scholar
A. Abbas, M. J. Linman, and Q. Cheng, “Sensitivity comparison of surface plasmon resonance and plasmon-waveguide resonance biosensors,” Sensors and Actuators B: Chemical, vol. 156, no. 1, pp. 169–175, 2011.
View at: Publisher Site | Google Scholar
P. F. Zhang, L. Liu, Y. H. He et al., “Non-scan and real-time multichannel angular surface plasmon resonance imaging method,” Applied Optics, vol. 53, no. 26, pp. 6037–6042, 2014.
View at: Publisher Site | Google Scholar
Y. F. Zhou, P. F. Zhang, Y. H. He et al., “Plasmon waveguide resonance sensor using an Au-MgF₂ structure,” Applied Optics, vol. 53, no. 28, pp. 6344–6350, 2014.
View at: Google Scholar
L. Liu, X. Chen, Z. Liu et al., “Polarization interference interrogation of angular surface plasmon resonance sensors with wide metal film thickness tolerance,” Sensors and Actuators, B: Chemical, vol. 173, pp. 218–224, 2012.
View at: Publisher Site | Google Scholar
A. Lahav, M. Auslander, and I. Abdulhalim, “Sensitivity enhancement of guided-wave surface-plasmon resonance sensors,” Optics Letters, vol. 33, no. 21, pp. 2539–2541, 2008.
View at: Publisher Site | Google Scholar
N. Skivesen, R. Horvath, and H. C. Pedersen, “Optimization of metal-clad waveguide sensors,” Sensors and Actuators B: Chemical, vol. 106, no. 2, pp. 668–676, 2005.
View at: Publisher Site | Google Scholar

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Copyright © 2015 Pengfei Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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