|
1.IntroductionSurface plasmon resonance (SPR), the coherent oscillation of free electrons as a strongly localized charge density wave at a metal/dielectric interface, has had a strong scientific impact in nanoscale devices. This wave generates a large amplitude electric field, exponentially reducing from the main source at the interface. SPR is significantly influenced by the variation in the refractive index (RI)1 of the surrounding environment closed by that metal/dielectric interface. It can thus be applied as a sensing mechanism.2–4 SPR-based sensors are popular devices for sensing application due to the ease of measurement and fabrication technology,5 and trustable prediction and verification ability by the electromagnetic wave propagation theory. Such SPR sensors and their underlying technology can potentially be applied in biology,6–9 photovoltaic applications,10 bioimaging,11 controlling food safety,12 and waveguides.13,14 For achieving high-resolution detectability and improving signal-to-noise amplitude, alternative techniques have been proposed to optimize the performance of SPR-based sensors. One promising technique was demonstrated on the controllability of SPR excitations via implementing a magnetic layer stacked within SPR elements to probe the reflected light polarization from devices, such as the magneto-optical Kerr effect (MOKE).15,16 In addition to probing the reflection amplitude versus wavelength as well as angle, MOKE signal can be considered as a powerful mechanism, which is additionally sensitive to the magnetization of that magnetic layer and the external magnetic field. Thus, this type of sensing mechanism provides an additional detecting ability, resulting in better sensitivity compared with other conventional SPR sensors.17 Noble metallic thin films such as Au and Ag are typical materials frequently used for plasmonic application because of their high conductivity and chemical stability. However, these metals show a low MO response. In contrast, magnetic metals such as Co and Ni have a strong MO response, but they suffer from high optical losses.18,19 Combining both magnetic and plasmonic functionalities, e.g., (Co or Ni)/(Au or Ag) bilayers as a hybrid magnetoplasmonic heterostructures, is a pioneering way to design SPR devices with great sensing performance. The enhancement of the MO signal by excitation of the SPR in magnetoplasmonic heterostructures was used to investigate biomolecules in a liquid,20,21 weak field magnetic field sensor, memory,22 and so on. Recently, a great deal of interest has been made in optical devices to detect DNA and its hybridization development processes based on changes in its optical properties, toward recognition of genetic diseases,23–25 and also to probe optical response of neurons toward cognitive investigations.26 As a few examples, we can refer to the study of brain stimulation, where changes occur in the RI of stimulated neurons; optical properties of viruses against antibodies and the effects of drug release on cells, all can be probed via optical detection techniques. The optical sensor that we propose in this paper, which is sensitive to the RI of the environment, when it gets in contact with biological elements, needs to have suitable physiochemical properties, e.g., hydrophobicity, hydrophilicity, chemical stability, mechanical, electrical, and optical properties. Toward these requirements, two-dimensional (2-D) materials, e.g., graphene (Gr) and , with a large specific surface area can be chemically functionalized properly to be satisfactorily implemented at the surface of optical sensors for accurate optical detection. It has been shown that Gr can interact with DNA through hydrogen bonding and – stacking force.27 and the family of transition metal dichalcogenides can interact with DNA concentration through van der Waals force. Therefore, 2-D materials can be adjusted in a conducive way to interact with DNA.28,29 In addition, such 2-D materials have exceptional optical properties30,31 very suitable for application in hybridized SPR sensors.32 For example, it was shown that the with resonance absorption peaks could significantly influence the MOKE detection signal in SPR sensors.33 To reiterate, the MO detection in magnetoplasmonics is highly sensitive to any changes in the RI of the environment. Moreover, impacts of adding 2-D materials of Gr or on such biosensors have not been investigated so far. Therefore, we introduce magnetoplasmonic biosensors including 2-D materials on top and in close contact with the DNA to be highly sensitive to any small changes in the RI of the DNA. In this paper, the MOKE response is calculated in SPR design including Au/NiFe/M(Au, , Gr)/DNA to find optimized SPR and MOKE measurement results against any changes in the RI of DNA. We have shown that the NiFe, which is nominated as Permalloy (Py) is a quite sensitive layer against any small changes in applied magnetic field and thus very suitable for biological applications.22,33 Here, based on the previously determined optimized thicknesses of Au(8 nm)/Py(13 nm) layers,22,33 we vary the thicknesses of the Gr, , and Au top layers, and study the details of angle-dependent reflectivity and MO response. We found that the presence of three-layer Gr and two-layer on top of the Au/Py bilayer can increase sensitivity by nine and four times, respectively. Our sensitivity achievements are much greater than any reported values using Au/Py/Au and Au/Co/Au stacks,15,16 suggesting the important role of 2-D materials in the enhancement of biomolecule sensitivity in such sensors. 2.Theory2.1.Surface Plasmon Resonance Excitation and Transfer Matrix MethodTo excite the SPR by -polarized light incident to interact between metal and dielectric medium, (i) the frequency of the incident light must be equal to the frequency of the SPR mode and (ii) the tangential component of the incident wave vector must be equal to the wave vector of the SPR. The most common approach to the excitation of the SPR is using a prism as a coupler between incident light and the SPR mode to study the attenuated total internal reflection method.1 In the presence of the magnetic field, the MO response of the magnetic layer is governed by the dielectric tensor. Up to first order in magnetization, the dielectric tensor in a transverse configuration can be read as where is the magnetization, is the MO constant, and is the dielectric constant in the absence of magnetic field. The induced magnetization provides a nonreciprocal shift of , which causes a small change in the excitation angle and the intensity of reflected light. An expression for the plasmon excitation wave vector in the MO active layer when its thickness is adequately thin is where is the light wavelength in the vacuum and is the wave vector of plasmon excitation in the absence of magnetic field. As can be deduced from Eq. (2), the induced magnetization causes the backward and forward modes to have different dispersion relations.We employed the transfer matrix method (TMM) to numerically model the one-dimensional multilayer structures mentioned, and optimize their thicknesses to achieve the maximum MOKE sensitivity. We assumed that the light wave enters the initial () medium (i.e., the prism), passes through the multilayer structure, and exits from the final layer () (i.e., the water solution). By imposing the boundary conditions between tangential components of the electric and magnetic fields of the light wave, the relationship between the electric field amplitudes of the and the layer can be expressed as34,35 where and are the electric field amplitudes at the bottom surface of the and the media, is a boundary matrix including optical properties of the medium, and is the propagation matrix, which is dependent on the thickness of the layers where describes the intensity of reflected TM-polarized light.The coupling between the incident light and the SPR can be changed when the magnetic field is applied. This results in a nonreciprocal effect on the SPR wave vector and the light reflection intensity when the magnetic field is reversed.36 This effect is called the transverse MOKE (TMOKE), which is described by the following equation: where is the magnetic field and and () are the pure optical and MO contributions of the TMOKE signal, respectively.2.2.Sensing Principle of TMOKE BiosensorWhen organic molecules are in contact with the surface of the SPR sensor, the interaction of the sensing layer with the biomolecules intends to change the optical responses of the sensing medium. Any changes within the RI of the medium can change the propagation vector of the SPR. Accordingly, the coupling condition between the incident light and the SPR will be different and the sensor output parameters will eventually vary.2 The maximum sensitivity will be achieved when a tiny alteration in the medium RI causes a significant change in the output response of the sensor. There are several detection mechanisms in SPR sensors. In sensors designed on the angle detection basis, the SPR is excited by monochromatic light at a short angle interval. The sensitivity is defined as the ratio of the resonance angle change to the RI change of the surrounding medium . In other types of sensors based on wavelength modulation, the sensor is illuminated by polychromatic light at a fixed incident angle. The dip of the reflection spectrum corresponds to the SPR wavelength. Sensitivity is defined as the ratio of any shift in the resonance wavelength to the change in the RI of the sensing medium . In the third method, the intensity of reflection light serves as a sensor output. In this method, sensitivity is defined as the variation in the intensity of the output signal () at a fixed incident angle and fixed wavelength when changes . The parameter could be found based on detection (in conventional SPR measurement) or determined as the (in those based on TMOKE). For these methods, the shift in the position of SPR condition (, ) and the changes in the detector signal intensity (, ) are directly proportional to the change in the medium RI. We first address the sensor’s output performance, based on either TMOKE or the reflection response of the conventional Au/Py magnetoplasmonic biodetector. The bioelement we examine here is an immobilized single-stranded DNA (ss-DNA) with an RI of 1.462 (RI unit), which changes to double-stranded DNA (ds-DNA) with an RI of 1.530 (RI unit), based on any possible biological procedure actions.37 It is to be noted that very little alteration within any biological procedures can change the RI of the ss-DNA. In our study, such changes occur at the top surface of the Py layer in the Au/Py bilayer magnetoplasmonic detector. We plot the TMOKE and reflection, Figs. 1(a) and 1(b), of such biosensors and compare their responses when a minute change affects RI of the ss-DNA. The detection mechanism could be based on intensity and angle changes in TMOKE signal and wavelength and reflection intensity all within the reflection light. These plots pedagogically picture the sensing mechanism on which we aim to improve detectivity later, based on adding different top layers in contact with biomolecules in continuation. 2.3.TMOKE Sensor StructureIn this paper, as already mentioned, we present a bilayer structure consisting of a noble and a ferromagnetic metal, Au/Py, which is located on the top of a prism in Kretschmann configuration. The structure was illuminated by a -polarized and monochromic He–Ne laser. The schematics of proposed biosensors are shown in Fig. 2. The biosensing examination and sensitivity evaluation of such biosensors were carried out by adding a monolayer ss-DNA on top of the structures. The immobilized ss-DNA layer with a thickness of 3.3 nm, a density of , and RI of 1.462 is located on the surface of the SPR biosensor and the whole structure is set in a water solution. In the proposed structures, based on our previous optimizations,22,33 the thickness of the Au and Py layers is fixed at 8 and 13 nm, respectively. To compare the characteristics of conventional and 2-D material-based biosensors, we first obtain the reflection, MO, and sensitivity evaluation responses of the Au/Py bilayer structure. Next, we investigate the effect of 2-D materials Gr and and their replacement on the Au layer in three different structures, according to the designs in Fig. 2, and evaluate their responses for reflection, MO, and sensitivity. We assume that the Gr and are isotropic media and the applied magnetic field does not affect their dielectric constants. The dielectric constants of Gr and at 633 nm wavelength are , , and their thicknesses are taken as , , respectively. Here we note that, and are numbers of the Gr and layers, respectively. A small magnetic field of about 20 (Oe) applied in the plane can saturate the Py layer. The real and imaginary components of the metal dielectric constant are calculated using the Lorentz–Drude model. In the case of Gr and , we used the required parameters from Refs. 38 and 39. The wavelength dependencies of the layers’ dielectric constant are plotted in Fig. 3. The complex dielectric constants of water, glass, Au, and Py at 632.8-nm wavelength are , , , and , respectively. Furthermore, the MO constant of the magnetic Py layer is considered to be .40 3.Biosensors’ ResponsesThe reflectance and TMOKE responses as a function of the incident light angle are determined based on TMM for layers, as shown in Fig. 4. The minima points observed in the reflection curves, Fig. 4(a), are attributed to the excitation of the SPR waves. The variation in the SPR excitation angle versus is shown in Table 1. As we can see, the minima and the corresponding TMOKE signal strongly depend on the number of the layers. The maximum TMOKE signal is achieved in the structure that consists of two layers, and its value is 5.7. Owing to the ultranarrow behavior of the TMOKE signal versus angle at the SPR condition, the TMOKE signal can exhibit better sensitivity to RI variations than what reflection measures. We calculated a variation in the TMOKE signal when the RI of the binding layer increases due to the biochemical interaction and adsorption of the biomolecule. When the concentration occurs, the monolayer ss-DNA transforms to ds-DNA and its RI and density increase to 1.53 and , respectively, as a result of densification and polarizability. Table 1SPR angle for Au/Py/MoS2(×n).
During the densification, we supposed that the changing of the binding layer of RI has a linear dependence on the enhancement of concentration. Moreover, we assumed that the RI increases from 1.462 to 1.4620030 by intervals of (RIU). As can be observed in Fig. 4(c), when one layer of is deposited on the Au/Py bilayer, in addition to the enhancement of the TMOKE signal, the sensitivity of the proposed structure increases. The sensitivity information can be obtained by the slope of the TMOKE signal variations. The value of sensitivity is three times higher than in the structure without the layer. According to Fig. 4(b), in the presence of two layers, an extraordinary enhancement of both the TMOKE signal and sensitivity can be observed together with the approaching minimum reflection level as shown in Fig. 4(a). The enhancement of the TMOKE signal is due to the stronger excitation of the SPR waves,33 and the sharp behavior of the TMOKE signal at the resonance condition is the reason for an increase in sensitivity. The numerical calculations predict that the sensitivity of the proposed sensor is (). For structures consisting of more than two layers, the sensitivity has a notable reduction due to the increase in the optical dissipation of . Next, we calculate the effect of the Gr layers that are coated on the proposed Au/Py structure. The reflection, TMOKE signal, and sensitivity curves of -DNA are shown in Fig. 5 (different panels), where variation in the SPR excitation angle versus is presented in Table 2. As compared with the SPR sensor with layers, the Gr absorbs biomolecules more strongly and stably due to the presence of -stacking links. The lowest value of the resonance angle is smaller than the corresponding value with , indicating better localization of the SPR waves. Dips of minima in the reflection shift to the large incident angle with an increase in the number of Gr layers. The shift of the resonance angle typically depends on both the numbers of the Gr layers as well as the value of the RI. The real part of Gr dielectric constant is smaller than that of , and, hence, the shift in angle is smaller than that of . In this case, the maximum value of sensitivity is obtained when three layers of Gr are coated on the Au/Py SPR structure, and its value is found to be (), which is 2.3 times greater than the highest value attained with the top layer design. Table 2SPR angle for Au/Py/Gr(×n).
We have additionally compared our biosensors designed with 2-D-material of Gr and with a conventional planar trilayer , and the results are shown in Fig. 6. We calculated the reflection of for six different thickness values of the top Au layer. According to the results in Fig. 6(a) and Table 3, the minimum depth decreases with an increase in the thickness of Au film. Similarly, the TMOKE signal, Fig. 6(b), at SPR condition increases with an increase in the Au thickness. The optimized thickness for is 5 (nm). The maximum sensitivity determined in Fig. 6(d) for this configuration is (), which is substantially lower than the configurations that have Gr and layers. Table 3SPR angle for Au/Py/Au[t(nm)].
To compare our sensitivity calculations with those of other designs,15,16 the highest sensitivity determined based on optimized parameters in our various configurations is shown in Fig. 7. As we can see, the value of sensitivity in structures with Gr and is much greater than those obtained in other biosensors with mainly Au/Co/Au stacks. For example, for structure including of three-layer Gr and two-layer , the coupling between incident wave and surface plasmon is much stronger than that of other structures. This strong coupling leads to a large enhancement of the TMOKE signal. Furthermore, TMOKE signal gets sharper when the coupling becomes stronger. This sharp behavior causes TMOKE signal to become more sensitive to the change of the RI. In addition to the sensitivity record values obtained here, we maintain that the Gr or top layers have already been found to be interesting materials because of their alternative physiochemical properties, which are suitable for biology. 4.ConclusionThe development of biosensors with improved quality, biocompatibility, selectivity, and sensitivity requires state-of-the-art material with alternative physical and chemical properties. The application of well-known 2-D materials such as Gr and can guarantee such advantages. We demonstrate stacks of trilayers mainly made of Au/Py/M, where ( and Gr layers compared with the commonly used Au layer) is the layer in contact with biomolecules. We have shown reflection and TMOKE to be quite sensitive to small changes in the RI of the environment and biomolecules. The maximum sensitivity was found in stacks with top layers, which included two-layer , three-layer Gr, and 5 nm Au to be , 2056, and 287 (), respectively. The degree of shift in dips of the reflection was found to be highly affected by the real component of the RI of each layer. Our determined values of sensitivity are the best recorded so far among those obtained in magnetoplasmonic biosensor stacks. We believe our biosensor designs and their achievements are useful for future developments in their application in multitask optical-based biodetectors, which enable additional advantages and versatility, based on their alternative physiochemical properties. AcknowledgmentsN.A. acknowledges support from Alzahra University research deputy. S.M.M. acknowledges support from Iran Science Elites Federation (ISEF), Iran’s National Elites Foundation (INEF), and Iran’s Cognitive Sciences and Technologies Council under Contract No. 2714. ReferencesH. Raether, Surface Plasmons on Smooth and Rough Surfaces and on Gratings, Springer, Berlin, Heidelberg
(1988). Google Scholar
J. Homola and M. Piliarik,
“Surface plasmon resonance (SPR) sensors,”
Springer Ser. Chem. Sens. Biosens., 4 45
–67
(2006). http://dx.doi.org/10.1007/b100321 Google Scholar
S. Zeng et al.,
“Graphene- hybrid nanostructures enhanced surface plasmon resonance biosensors,”
Sens. Actuators B Chem., 207 801
–810
(2015). http://dx.doi.org/10.1016/j.snb.2014.10.124 Google Scholar
A. K. Sharma and G. J. Mohr,
“Plasmonic optical sensor for determination of refractive index of human skin tissues,”
Sens. Actuators B Chem., 226 312
–317
(2016). http://dx.doi.org/10.1016/j.snb.2015.11.119 Google Scholar
J. Homola, S. S. Yee and G. Gauglitz,
“Surface plasmon resonance sensors: review,”
Sens. Actuators B Chem., 54
(1), 3
–15
(1999). http://dx.doi.org/10.1016/S0925-4005(98)00321-9 Google Scholar
K. Kim et al.,
“Localized surface plasmon resonance detection of layered biointeractions on metallic subwavelength nanogratings,”
Nanotechnology, 20
(31), 315501
(2009). http://dx.doi.org/10.1088/0957-4484/20/31/315501 NNOTER 0957-4484 Google Scholar
P. Otipka, J. Vlček and M. Lesňák,
“Designing of MO-SPR bio-chip with photonic crystal,”
Proc. SPIE, 10142 101421V
(2016). http://dx.doi.org/10.1117/12.2263270 PSISDG 0277-786X Google Scholar
R. Iovine, L. La Spada and L. Vegni,
“Nanoplasmonic sensor for chemical measurements,”
Proc. SPIE, 8774 877411
(2013). http://dx.doi.org/10.1117/12.2016836 PSISDG 0277-786X Google Scholar
A. Tomitaka et al.,
“Development of magneto-plasmonic nanoparticles for multimodal image-guided therapy to the brain,”
Nanoscale, 9
(2), 764
–773
(2017). http://dx.doi.org/10.1039/C6NR07520G NANOHL 2040-3364 Google Scholar
S. Mubeen et al.,
“On the plasmonic photovoltaic,”
ACS Nano, 8
(6), 6066
–6073
(2014). http://dx.doi.org/10.1021/nn501379r ANCAC3 1936-0851 Google Scholar
M. Kikawada et al.,
“Enhanced multicolor fluorescence in bioimaging using deep-ultraviolet surface plasmon resonance,”
Appl. Phys. Lett., 104
(22), 223703
(2014). http://dx.doi.org/10.1063/1.4881325 APPLAB 0003-6951 Google Scholar
K. Narsaiah et al.,
“Optical biosensors for food quality and safety assurance—a review,”
J. Food Sci. Technol., 49
(4), 383
–406
(2012). http://dx.doi.org/10.1007/s13197-011-0437-6 JFSTAB 0022-1155 Google Scholar
A. K. Sheridan et al.,
“Waveguide surface plasmon resonance sensing: electrochemical desorption of alkane thiol monolayers,”
Sens. Actuators B Chem., 117
(1), 253
–260
(2006). http://dx.doi.org/10.1016/j.snb.2005.11.047 Google Scholar
T. Viitala et al.,
“Fluid dynamics modeling for synchronizing surface plasmon resonance and quartz crystal microbalance as tools for biomolecular and targeted drug delivery studies,”
J. Colloid Interface Sci., 378
(1), 251
–259
(2012). http://dx.doi.org/10.1016/j.jcis.2012.04.012 JCISA5 0021-9797 Google Scholar
C. Rizal,
“Bio-magnetoplasmonics, emerging biomedical technologies and beyond,”
J. Nanomed. Res., 3
(3), 00059
(2016). http://dx.doi.org/10.15406/jnmr.2016.03.00059 Google Scholar
M. G. Manera et al.,
“Enhanced antibody recognition with a magneto-optic surface plasmon resonance (MO-SPR) sensor,”
Biosens. Bioelectron., 58 114
–120
(2014). http://dx.doi.org/10.1016/j.bios.2014.02.003 BBIOE4 0956-5663 Google Scholar
M. Moradi, Z. Ayareh and M. G. Mahmoodi,
“Enhancement of magneto-optical Kerr response by LSPR in magneto plasmonic nanostructures for biological sensors,”
J. Magn. Magn. Mater., 444 410
–415
(2017). http://dx.doi.org/10.1016/j.jmmm.2017.08.033 Google Scholar
V. I. Belotelov, L. L. Doskolovich and A. K. Zvezdin,
“Extraordinary magneto-optical effects and transmission through metal-dielectric plasmonic systems,”
Phys. Rev. Lett., 98
(7), 077401
(2007). http://dx.doi.org/10.1103/PhysRevLett.98.077401 PRLTAO 0031-9007 Google Scholar
B. Sepúlveda et al.,
“Plasmon-induced magneto-optical activity in nanosized gold disks,”
Phys. Rev. Lett., 104
(14), 147401
(2010). http://dx.doi.org/10.1103/PhysRevLett.104.147401 PRLTAO 0031-9007 Google Scholar
B. Sepúlveda et al.,
“Highly sensitive detection of biomolecules with the magneto-optic surface-plasmon-resonance sensor,”
Opt. Lett., 31
(8), 1085
–1087
(2006). http://dx.doi.org/10.1364/OL.31.001085 OPLEDP 0146-9592 Google Scholar
S. David et al.,
“Magneto-plasmonic biosensor with enhanced analytical response and stability,”
Biosens. Bioelectron., 63 525
–532
(2015). http://dx.doi.org/10.1016/j.bios.2014.08.004 BBIOE4 0956-5663 Google Scholar
M. Moradi et al.,
“Au/NiFe magnetoplasmonics: large enhancement of magneto-optical Kerr effect for magnetic field sensors and memories,”
Electron. Mater. Lett., 11
(3), 440
–446
(2015). http://dx.doi.org/10.1007/s13391-015-4374-9 Google Scholar
K. V. Sreekanth et al.,
“Sensitivity enhanced biosensor using graphene-based one-dimensional photonic crystal,”
Sens. Actuators B Chem., 182 424
–428
(2013). http://dx.doi.org/10.1016/j.snb.2013.03.039 Google Scholar
J. Hottin et al.,
“Plasmonic DNA: towards genetic diagnosis chips,”
Plasmonics, 2
(4), 201
–215
(2007). http://dx.doi.org/10.1007/s11468-007-9039-6 1557-1955 Google Scholar
S. A. Kim et al.,
“Surface-enhanced localized surface plasmon resonance biosensing of avian influenza DNA hybridization using subwavelength metallic nanoarrays,”
Nanotechnology, 22
(28), 289501
(2011). http://dx.doi.org/10.1088/0957-4484/22/28/289501 NNOTER 0957-4484 Google Scholar
F. Sohrabi and S. M. Hamidi,
“Neuroplasmonics: from Kretschmann configuration to plasmonic crystals,”
Eur. Phys. J. Plus, 131
(7), 221
(2016). http://dx.doi.org/10.1140/epjp/i2016-16221-5 EPJPA3 2190-5444 Google Scholar
P. T. K. Loan et al.,
“Graphene/ heterostructures for ultrasensitive detection of DNA hybridisation,”
Adv. Mater., 26
(28), 4838
–4844
(2014). http://dx.doi.org/10.1002/adma.v26.28 ADVMEW 0935-9648 Google Scholar
C. Lu et al.,
“Comparison of graphene oxide and reduced graphene oxide for DNA adsorption and sensing,”
Langmuir, 32
(41), 10776
–10783
(2016). http://dx.doi.org/10.1021/acs.langmuir.6b03032 LANGD5 0743-7463 Google Scholar
B. L. Li et al.,
“Low-dimensional transition metal dichalcogenide nanostructures based sensors,”
Adv. Funct. Mater., 26
(39), 7034
–7056
(2016). http://dx.doi.org/10.1002/adfm.v26.39 AFMDC6 1616-301X Google Scholar
N. Ansari and E. Mohebbi,
“Increasing optical absorption in one-dimensional photonic crystals including monolayer for photovoltaics applications,”
Opt. Mater., 62 152
–158
(2016). http://dx.doi.org/10.1016/j.optmat.2016.09.040 OMATET 0925-3467 Google Scholar
N. Ansari and M. Moradi,
“Optical absorption in air/monolayer ( or Si) trilayer stacks at oblique incidence,”
Superlattices Microstruct., 104 104
–111
(2017). http://dx.doi.org/10.1016/j.spmi.2017.02.010 SUMIEK 0749-6036 Google Scholar
E. Faridi and S. M. Mohseni,
“Voltage-driven magneto-optical Kerr effect in a glass/Au/NiFe/dielectric/WS2 magneto-plasmonic structure,”
J. Opt. Soc. Am. B, 34
(12), 2436
–2440
(2017). http://dx.doi.org/10.1364/JOSAB.34.002436 JOBPDE 0740-3224 Google Scholar
A. H. B. Ghasemi et al.,
“Extraordinary magneto-optical Kerr effect via monolayer in plasmonic cavity,”
RSC Adv., 6
(108), 106591
–106599
(2016). http://dx.doi.org/10.1039/C6RA21314F Google Scholar
S. Visnovsky et al.,
“Magnetooptic ellipsometry in multilayers at arbitrary magnetization,”
Opt. Express, 9
(3), 121
–135
(2001). http://dx.doi.org/10.1364/OE.9.000121 OPEXFF 1094-4087 Google Scholar
J. Zak et al.,
“Fundamental magneto‐optics,”
J. Appl. Phys., 68
(8), 4203
–4207
(1990). http://dx.doi.org/10.1063/1.346209 JAPIAU 0021-8979 Google Scholar
V. Zayets et al.,
“Enhancement of the transverse non-reciprocal magneto-optical effect,”
J. Appl. Phys., 111
(2), 023103
(2012). http://dx.doi.org/10.1063/1.3677942 JAPIAU 0021-8979 Google Scholar
S. Elhadj, G. Singh and R. F. Saraf,
“Optical properties of an immobilized DNA monolayer from 255 to 700 nm,”
Langmuir, 20
(13), 5539
–5543
(2004). http://dx.doi.org/10.1021/la049653+ LANGD5 0743-7463 Google Scholar
B. Mukherjee et al.,
“Complex electrical permittivity of the monolayer molybdenum disulfide () in near UV and visible,”
Opt. Mater. Express, 5
(2), 447
–455
(2015). http://dx.doi.org/10.1364/OME.5.000447 Google Scholar
M. Bruna and S. Borini,
“Optical constants of graphene layers in the visible range,”
Appl. Phys. Lett., 94
(3), 031901
(2009). http://dx.doi.org/10.1063/1.3073717 APPLAB 0003-6951 Google Scholar
E. D. Palik, Handbook of Optical Constants of Solids, 989 Academic Press, San Diego
(1997). Google Scholar
|