Abstract
In this work, we theoretically propose an optical biosensor (consists of a BK7 glass, a metal film, and a graphene sheet) based on photonic spin Hall effect (SHE). We establish a quantitative relationship between the spin-dependent shift in photonic SHE and the refractive index of sensing medium. It is found that, by considering the surface plasmon resonance effect, the refractive index variations owing to the adsorption of biomolecules in sensing medium can effectively change the spin-dependent displacements. Remarkably, using the weak measurement method, this tiny spin-dependent shifts can be detected with a desirable accuracy so that the corresponding biomolecules concentration can be determined.
Introduction
The spin Hall effect (SHE) manifests itself as the splitting of spin-up and spin-down electrons, inducing transverse spin currents perpendicular to the applied electric field direction1–3. Recently, an interesting phenomenon called photonic SHE has been attracting more and more attention4–6. The photonic SHE can be seen as an optical analogy of SHE in electronic system where the spin photons play the role of the spin electrons and the applied electric field is replaced by the refractive index gradient. The physical mechanism of the photonic SHE is attributed to an effective spin-orbit coupling between the spin (polarization) and the trajectory of light beam7–9. Generally, the spin-dependent splitting in photonic SHE is very tiny, leading to shifts too small to be detected directly. In 2008, thanks to the weak measurement method, the Kwiat’s group first observed the transverse shift of a light beam refracted from a glass prism6.
Until now, the photonic SHE has been widely studied in different physical systems such as optical physics10–12, metasurfaces13,14, high-energy physics15,16, plasmonics17,18, semiconductor physics19, and also in free-space20. Especially, with the presence of an external magnetic field, the quantized photonic SHE in graphene has been found21. However, most of these researches focus on the theoretical calculation and experimental measurement of photonic SHE. There are few studies on its practical application. In fact, the photonic SHE holds great potential for precision metrology, because the spin-dependent displacements in photonic SHE are sensitive to the physical parameter variations of the systems. Using the weak measurements, the tiny shift can be observed with the desirable accuracy leading to the corresponding physical parameters be determined. For example, the photonic SHE has been used for measuring the thickness of nanometal films22, identifying the graphene layers23, detecting the strength of axion coupling of topological insulators24, and estimating the optical rotation of chiral molecules25.
In this work, we theoretically propose an optical biosensor based on photonic SHE. This biosensor consists of a BK7 glass, an Au film, and a graphene sheet. In the sensing medium, a variation in biomolecules concentration will induce a local change in the refractive index near the graphene surface. We find that, by considering the surface plasmon resonance (SPR) effect, the spin-dependent shifts in photonic SHE are sensitive to the refractive index variations of sensing medium. The paper is orgonized as follows. At first, we consider the horizontal (H) polarization beam reflected at the interface between the sensor and the sensing medium. Here, the quantitative relationship between the spin-dependent splitting and the refractive index of sensing medium is obtained. Then, we theoretically analyze the spin-dependent splitting in biosensor by modulating the refractive index of sensing medium. Importantly, a signal enhancement technique known as weak measurement is theoretically proposed to observe this tiny shift. Finally, a conclusion is given.
Theoretical Model
In this section, we first establish a general propagation model to describe the process of the light beam reflected at the sensor interface and study the corresponding spin-dependent splitting varying with the refractive index change of sensing medium. We only consider the case of H polarization beam, and the case of vertical (V) polarization beam can be analyzed in a similar way. The structure of the biosensor is composed of a BK7 glass, an Au film, and a graphene sheet [as shown in Fig. 1(a)]. The graphene film used here is based on the reason that it can adsorb biomolecules with unique carbon-based ring structures enabling a sensitive refractive index variation near the interface between the graphene and sensing medium26,27. Additionally, the surface to volume ratio of graphene is very high providing large surface area for exposing it to the surrounding so that it can adsorb the biomolecules with very high efficiency28. In this structure, the symbols n0, n1, n2, and n3 denote the corresponding refractive index of different materials. d1 and d2 are the thickness of Au film and graphene. Figure 1(b) shows the intensity distribution of incident light beam. After reflection, the photonic SHE appears and the incident linearly polarized beam will split into its left- and right-handed circularly polarized components [Fig. 1(c)]. It is noted that we only consider the transverse spin-dependent splitting.
At first, let us analyze the incident and reflected electric fields of light in this model. In the spin basis set, the angular spectrum can be expressed as and . The positive and negative signs in the supscripts represent left- and right-handed circularly polarized components. We consider a monochromatic Gaussian beam reflects at the sensor interface and its spectrum can be written as
1 |
where w0 is the beam waist. To study the reflected field of light beam, we need to deduce the relationship between the incident and reflected fields. Through the coordinate rotation, we can calculate the reflected angular spectrum according to the relation . The above MR stands for22
2 |
here, rp and rs are Fresnel reflection coefficients for H and V polarization states. k0 is the wave number in free space.
According to Eqs (1) and (2), we can first get the expression of reflected angular spectrum
3 |
here, . It is known that the spin-orbit coupling is the intrinsic physical mechanism of the photonic SHE. We note that, in Eq. (3), the terms indicate the spin-orbit coupling terms in the case of H polarization. The spin-orbit coupling term comes from the transverse nature of the photon polarization where the polarizations associated with the plane-wave components of the light beam experience different rotations in order to satisfy the transversality after reflection6,7.
The calculation of the reflected beam shifts in photonic SHE requires the explicit solution of the boundary conditions at the biosensor interfaces. Thus, we need to know the generalized Fresnel reflection coefficients of this model. This relationship can be deduced from the 2 × 2 transmission matrix29:
4 |
where
5 |
describes the transformation matrix from (l − 1)-th to l-th layer, and
6 |
represents the transmission matrix for l-th layer. Here, dl is the thickness of l-th layer material, rl−1,l and tl−1,l are reflection and transmission coefficients at the interface between (l − 1)-th and l-th layer, respectively. For an arbitrary wave-vector component, we can obtain the Fresnel reflection coefficient of the layered nanostructures
7 |
where p and s denote parallel and perpendicular polarizations, respectively. And the notations N21 and N11 are the matrix elements of Eq. (4). Here, the refractive index of sensing medium is coupled in the Fresnel reflection coefficient. To get the desired results, we should expand the Fresnel reflection coefficients around the central wave vector by making use of a Taylor series expansion based on the arbitrary angular spectrum component:
8 |
A sufficiently good approximation can be obtained when the Taylor series are confined to the zeroth order. Interestingly, by considering the in-plane wave vector component kix, there exists the in-plane spin-dependent splitting30.
In this model, the photonic SHE is described for the left- and right-circularly polarized components undergoing transverse spin-dependent splitting. So the reflected field centroid should be determined. At any given plane za = const., the displacements of field centroid compared to the geometrical-optics prediction is given by23
9 |
Finally, substituting Eq. (3) into Eq. (9), we can get the transverse spin-dependent displacements of photonic SHE in biosensor.
Results and Discussion
In the above analysis, we have established the relationship between the refractive index of sensing medium and the spin-dependent splitting in photonic SHE. Next, we will discuss how the biosensor works. At first, we need to choose the suitable parameters of this structure (Fig. 1). Here, the refractive index of BK7 glass and Au film are chosen as n0 = 1.515 and at 633 nm31. The thickness of Au is picked as 50 nm. The refractive index of graphene film is selected as n2 = 3.0 + 1.149i at 633 nm32. The thickness of the graphene film is about d2 = mΔd in which m denotes the layer numbers and Δd represents the thickness of single layer graphene (Δd is about 0.34 nm)32. In fact, our biosensor is a four-layered nanostructure. So the parameter l from Eqs (4)–(6) is fixed to 3. In the sensing medium, a variation in biomolecules concentration will induce a local change in the refractive index n3. In this work, we consider a small refractive index variation of sensing medium Δn3 = 0.005 (from 1.33 to 1.335). In the following, we will investigate how to detect this tiny refractive index change using the photonic SHE.
Figure 2 shows the reflectivity and the spin-dependent displacement changing with the refractive index n3, the number of the graphene layers, and the incident angle θi. Here, the reflectivity is defined as |rp|2 [as shown in Fig. 1(a)–(c)]. We can see that the reflectivity undergoes a sharp decreasing when the angle of incidence is near about 75° (resonance angle). This phenomenon is attributed to SPR. It is noted that the resonance angle experience a small shift when the refractive index of sensing medium vary from n3 = 1.33 to n3 = 1.335. We can detect the refractive index change by observing this resonance angle offset. This is the usual idea of the SPR-based biosensor26. However, the biosensor discussed here is from a different perspective (combining with the photonic SHE).
Figure 2(d)–(f) show the photonic SHE changing with the refractive index of sensing medium, the number of the graphene layers, and the incident angle. When the incident angle is near the resonance angle, there exist a dramatic variation of the spin-dependent splitting by choosing the refractive index of sensing medium with n3 = 1.33 and n3 = 1.335. As shown in the picture, a sensing area can be established to detect the sensing medium changes by observing the photonic SHE. Here, for a fixed incident angle, we can obtain two values of spin-dependent shifts corresponding to two values of refractive index n3. Therefore, we can deduce the properties of sensing medium by indirectly measuring the spin-dependent displacements of photonic SHE. Note that the spin-dependent splitting is not sensitive to the small change of the refractive index of the sensing medium when the incident angle leaves the sensing area. Generally, the larger the refractive index difference, the easier the measurement. However, we focus our attention on the detection of tiny refractive index variations.
In fact, the photonic SHE in this biosensor is too small to be observed directly. Here we theoretically propose a signal enhancement technique called weak measurement33 to measure this spin-dependent splitting. The weak measurement technology based on preselection and postselection states is a promising method for in investigating fundamental questions of quantum mechanics34,35 and holds great potential for precision measurement36–38. The possible experimental setup is shown in Fig. 3. The incident beam is focused by the lens (L1) and is preselected in the H polarization with P1, and then it undergoes postselected in the polarization state with V = sinΔerx + cosΔery by P2. The two polarization states are nearly perpendicular to each other with an angle of 90° ± Δ. There exists two types of amplified factors Aw (weak value amplified factor) and F (propagation amplified factor), which gives an enhanced displacement proportional to initial one , where . As is well known, the small overlap between the initial and final states will results in a loss of signal. In fact, the technical noise can be significantly reduced by the weak value amplification6.
Combining with the Eqs (3) and (9), the relevant amplitude of the reflected field at a given plane zr can be obtained as allowing for calculation of amplified displacement which is the output of this sensing system. Here, we choose Δ = 0.5° and zr = 220 mm. The amplified shifts of photonic SHE are shown in Fig. 4. Here, we choose the number of the graphene layers as 1, 2, and 3. The range of the incident angle is from 60° to 90°. Figure 4(a)–(c) describe the amplified shifts corresponding to the initial spin-dependent splitting from Fig. 2(d)–(f). We find that the amplified shifts reach about hundreds of microns which can be measured directly. So we can determine the refractive index change of sensing medium by detecting the amplified displacements of photonic SHE in biosensor.
From Fig. 4(a)–(c), we find that it is hard to distinguish the transverse shifts of the different refractive index of sensing medium (n3 = 1.33 or 1.335) from 60° to 90°. So we focus our attention on the transverse displacements in a small range of incident angle (from 73° to 76°) to obtain desired results [Fig. 4(d)–(f)]. Remarkably, there exist a significant deviation of the amplified shifts in photonic SHE when refractive index of sensing medium are n3 = 1.33 and 1.335. In order to improve the accuracy of the sensor, we should select the maximum deviation point where the relative amplified shifts deviation represent the maximum value. For example, in Fig. 4(d), the relative amplified shifts deviation reaches about 544 μm when the maximum deviation point is about θi = 74.4°. This is a large shift which will make the biosensor more accurate. We also define the sensitivity of biosensor as . Under this condition, the sensitivity of biosensor is about 1.088 × 105 μm/RIU. It is found that the high sensitivity can be derived from large optical shift offset at the same refractive index variation. Similarly, the maximum deviation points are θi = 74.8° and θi = 75.2° when the number of the graphene layers are chosen as 2 and 3 [Fig. 4(e) and (f)]. Therefore, we can detect the biomolecules concentration by observing the amplified shifts of photonic SHE in this biosensor. From the above analysis, we can conclude that the optimal number of graphene layer of this optical sensor is one (having the relatively large deviation of amplified shifts corresponding to the same variation of refractive index).
We also investigate the amplified spin-dependent splitting changing with the amplified angle Δ, as shown in Fig. 4(a)–(c). Here, the refractive index of sensing medium are chosen as n3 = 1.33 and 1.335, and the graphene are selected as one layer, two layers, and three layers. We fix the incident angles to the above optimal points (with maximum deviation of the amplified shifts in Fig. 4). It is found that the maximum deviation of the amplified shifts can also be obtained by choosing the optimal amplified angles (Δ = 0.4°, 0.33°, and 0.3° corresponding to the different numbers of graphene layer). Thus, we can get high sensitivity of this optical biosensor by modulating the amplified angles. Figure 5(d) describes the amplified displacements varying with the refractive index of sensing medium. The amplified angles are chosen as the optimal values. We can find that the amplified shifts are proportional to the biomolecules concentration for the tiny refractive index variation. It is noted that the slope of the curve represents the sensitivity of the biosensor. We find that the slope of the solid line (corresponding to the one layer graphene) is larger than the others, also showing that the optimal number of graphene layer of this optical sensor is one.
How to improve the precision of the optical sensor, especially for the measurement of objects with tiny refractive index variation, is a very important issue for the developing of high performance sensor. The key point is to design a sensor with high signal-to-noise ratio (SNR). In fact, the weak measurement can be an effective method for improving the precision of measurement because the detected signal is amplified while the technical noise is suppressed6, therefore the SNR can be significantly enhanced. Recently, an improved SPR sensor based on appropriate preselection and postselection states was proposed39, showing nearly one order of precision enhancement compared with the conventional prism-coupler based SPR sensor. In the present work, our proposed optical sensor is also based on the weak measurement technique, so that the technical noise can be sufficiently suppressed leading to the imporvement of SNR. Additionally, the propagation amplified factor F mentioned above can also increase the SNR in the weak measurement system40. Therefore, the precision of optical sensor designed here can be further improved compared with the normal SPR sensor.
Conclusion
In conclusion, we have investigated the photonic SHE in a proposed four-layered nanostructure. By considering the SPR effect, we have found that the spin-dependent splitting in photonic SHE are sensitive to the refractive index change of sensing medium, which makes this nanostructure a good candidate for biosensor. Importantly, by combining with the weak measurement method, the initial tiny spin-dependent shifts in biosensor can be detected with the desirable accuracy so that the corresponding biomolecules concentration can be determined. These findings provide a practical application for photonic SHE and open the possibility of developing spin-based nanophotonic device.
Data Availability
No datasets were generated or analysed during the current study.
Acknowledgements
The authors acknowledge useful discussions with H. Luo, L. Xie, Y. Xiang, and Z. Zhang. This research was partially supported by the National Natural Science Foundation of China (Grant Nos 11604095, 11604087), the Hunan Provincial Natural Science Foundation of China (Grant No. 2017JJ3209), and the Science and Technology Plan Project of Hunan Province (2016TP1020).
Author Contributions
X.Z. and X.L. initiated the study. X.Z., L.S. and X.L. contributed to the theoretical analysis and the text of the manuscript.
Competing Interests
The authors declare that they have no competing interests.
Footnotes
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Xinxing Zhou, Email: xinxingzhou@hunnu.edu.cn.
Xiaohui Ling, Email: xhling@hnu.edu.cn.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
No datasets were generated or analysed during the current study.