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Article

Numerical Analysis of Multifunctional Biosensor with Dual-Channel Photonic Crystal Fibers Based on Localized Surface Plasmon Resonance

1
School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China
2
Department of Gynaecology and Obstetrics, The Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China
3
Department of Physics, City University of Hong Kong, Tat Chee Avenue, Hong Kong 999077, China
4
Department of Materials Science and Engineering, City University of Hong Kong, Tat Chee Avenue, Hong Kong 999077, China
5
Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Hong Kong 999077, China
*
Author to whom correspondence should be addressed.
Coatings 2022, 12(6), 742; https://doi.org/10.3390/coatings12060742
Submission received: 22 April 2022 / Revised: 19 May 2022 / Accepted: 20 May 2022 / Published: 28 May 2022

Abstract

:
A multifunctional biosensor composed of a dual-channel photonic crystal fiber (PCF) based on localized surface plasmon resonance (LSPR) is presented to measure dynamic changes in the magnetic field, temperature, and analyte refractive index at mid-infrared wavelengths. The finite-element method (FEM) is used to model and determine the sensing properties of the sensor. The flat dual-channel surface is coated with a gold film, and two nanowires are put on the fan-shaped openings to create directional resonance coupling to detect the analyte refractive index and temperature. By utilizing that the refractive index (RI) of the filled magnetic fluid (MF) is sensitive to the external magnetic field and temperature, a sensor with multi-physical detection functions is obtained. For refractive indexes ranging from 1.47 to 1.52, the maximum sensitivity is as high as 31,000 nm/RIU, with a resolution of 3.22 × 10−6 RIU. The maximum sensitivities for the magnetic field and temperature are 1970 pm/Oe and −5500 pm/°C, respectively.

1. Introduction

Biosensing is a topic of extensive investigation, suggesting a broad range of possible applications, such as molecular biology, biomedicine, and drug discovery [1,2,3]. Recent decades have witnessed a growing research interest in the study of optical fiber based on multifunctional biosensors [4,5,6]. In recent years, sensors comprising photonic crystal fibers based on surface plasmon resonance (PCF-SPR) have attracted considerable attention due to their small volume, rapid detection, high sensitivity, anti-electromagnetic interference, label-free detection, and in situ monitoring of biomolecular interactions. PCF-SPR is mainly based on the coupling of a core-guided mode to the plasmonic mode along with a metalized micro-structure fiber [7,8]. In 2006, A. Hassani and M. Skorobogatiy presented the concept of the PCF-SPR sensor with optimized microfluidics and illustrated that the phase matching and packaging issues could be facilitated with PCF operated in the single-mode regime [9]. Shuai et al., designed a closed-form multi-core holey fiber-based plasmonic sensor in a large dynamic RI range from 1.33 to 1.53 with high sensitivity and linearity [10]. In 2010, Wu et al., described an SPR sensor consisting of an all-solid twin-core photonic bandgap fiber with a maximum sensitivity of 4000 nm/RIU for the sensing range of 1.33–1.34 in aqueous environments [11]. Peng et al., proposed an SPR-based PCF temperature sensor by exploiting the PCF susceptibility to temperature and thermo-optic effects of metallic materials. When specific air holes in the PCF were filled with a liquid medium with a large thermo-optic coefficient, a temperature sensitivity of 720 pm/°C for 0–100 °C was obtained, and the detection limit was 1.39 × 10−2 °C [12]. More recently, novel magnetic-field sensors based on magnetic fluid materials have been proposed. In 2018, Chao et al., reported a PCF-based SPR probe with gold nanowires as the plasmonic material, which is easy to produce due to the optimized nanostructure. The spectral sensitivity was calculated by 6 × 103 nm/RIU for analyte refractive indices ranging from 1.33 to 1.36, and a sensing resolution of 2.8 × 10−5 RIU was accomplished [13]. Nevertheless, these reported PCF-SPR biosensors offer single SPR detection to test performance at one time, thereby limiting the wider application of PCF-SPR. Compared with PCF-SPR biosensors, LSPR-based biosensors have received much attention due to their sensing capability and compatibility for integration [14].
In recent years, lots of PCF-LSPR sensors have been designed. The D-type sensor has attracted widespread attention due to its simple coating process and excellent performance. The flat dual-channel surface of the fan-type structure sensor can also be coated with metal film so that the difficulty of manufacturing is relatively simple. Compared with the D-type, the area of the gold-plated film of the sensor can be maximized in a fan-shaped, and the resonance strength will also be increased. Inspired by the fan-shaped [15,16] and D-type structures, we present a multifunctional biosensor based on PCF-LSPR to measure dynamic changes in the magnetic field, temperature, and analyte refractive index at mid-infrared wavelengths. The gold layer, silver nanowires, and magnetic fluid are introduced into PCF. The purpose of the gold film is to create directional resonance coupling in refractive index and temperature sensing, and the silver nanowires enhance the resonance. The properties of the ferromagnetic particles in the magnetic fluid not only depend on the external magnetic field but also on the temperature and refractive index of the analyte. The unique double-sector plasma excitation region and nanowires increase the contact area between the sensing region and the sensing medium, which greatly enhances the sensing ability. Additionally, its wide resonance region and high resonance wavelength make it have potential applications in the field of biosensors [17]. The tunable refractive index characteristic can be used as the theoretical base to achieve measurement of the magnetic field intensity, temperature, and analyte refractive index. The advantage of the sensor structure proposed in this paper is that it can be compatible with the sensing requirements of two scenarios or a single scenario. The properties of the biosensor are numerically analyzed by the finite element method with the COMSOL Multiphysics software (COMSOL), and the results show that the maximum sensitivities for the magnetic field, temperature, and analyte refractive index are 1970 pm/Oe, −5500 pm/°C and 31,000 nm/RIU, with the corresponding resolution being 0.05 Oe, 0.018 °C, and 3.22′10−6 RIU, respectively. Owing to the multifunctional detection characteristics, the sensor has a large potential for biological detection and real-time remote sensing.

2. Model and Method

The structure of the biosensor is shown in Figure 1a,b displays the cross-sectional FEM mesh of the sensor. The perfectly matched layer (PML) is set as a boundary condition to absorb radiation from the outer surface and to evaluate the SPR properties. The sensor is composed of three layers of air holes arranged in a hexagonal lattice to restrict energy from transmitting into the fiber core. The diameter of the air holes is d1 = 0.5 μm and na = 1.0 is the refractive index (RI) of air. The pitch size of the hexagonal lattice is Λ = 2 μm and the refractive index (nc) of the analyte flowing through the channel ranges from 1.47 to 1.52. The refractive index of the biologic fluid, such as the hemoglobin concentration changes from 160 to 260 (g/L), leading to the refractive index of the analyte changing from 1.4 to 1.58 [18]. The fiber is side-polished to form flat planes with two fan-shaped openings where a 50 nm thick gold layer is coated and two silver nanowires with a diameter of 50 nm are filled at the tip end of the fan-shaped openings. One advantage of such silver nanowires compared with other plasmonic nanoparticles, for example, spheres or cubes, is because of their relatively easy fabrication and controllable structural parameter changes. Gold layer can be produced by chemical vapor deposition (CVD) and silver nanowires can be fabricated by combining nanoimprint lithography and lit-off process [19,20]. For the fabrication of metal nanoparticles-based Au layer PCF sensors, the PCF sensor sputtered with metal layer can be immersed into metal nanoparticle solution in order to form the sensing structure [21]. An SEM image showing the intersecting surface of the as-fabricated metal nanoparticles-based Au layer PCF sensor is shown in Figure S1 for reference [22]. In the magnetic sensing operation, a magnetic fluid (MF) is filled in the big hole at the center of the PCF and the diameter of the central small air hole is d2 = 1 μm. The MF is water-based Fe3O4 synthesized by chemical co-precipitation [23] and the concentration is 0.85 emu/g. The phase-matching wavelength between the core-guided mode and plasmonic mode varies when the refractive indexes of the PCF biosensor elements (fused silica of the cladding material, gold layer, silver nanowires, and MF) change with temperature [24].
The PCF is composed of fused silica and the Ghosh model is used to define the dispersion equation of the fused silica as follows:
n s i l i c a 2 ( λ , T ) = A + B ( 1 C / λ 2 ) + D ( 1 E / λ 2 )
where λ is the wavelength in nm and T is the temperature in Celsius. The coefficients are given in the following [25]:
A = 1.31552 + 0.690754 × 10 5 T
B = 0.788404 + 0.235835 × 10 4 T
C = 0.0110199 + 0.584758 × 10 6 T
D = 0.91316 + 0.548368 × 10 6 T  
and
E = 100
The following Drude model is used to define the dielectric property of the metal [26]:
ε ( ω ) = ε 1 + i ε 2 = 1 ω p 2 ω ( ω + i ω c )
The plasma frequency ω p is expressed as follows [27]:
ω p = ω p 0 × exp ( ( T T 0 2 ) × α V ( T 0 ) )
where ω p 0 is the plasma frequency of the metal at T 0 = 298.15   K and α V is the volumetric thermal expansion coefficient of metal. The scattering frequency ω c is given by the following [28]:
ω c = ω c p + ω c e
The following Lawrence’s electron-electron scattering model is used to express the phonon–electron scattering ω c e ( T ) [29]:
ω c e ( T ) = 1 6 π 4 Γ Δ h E F [ ( k B T ) 2 + ( h ω 4 π 2 ) 2 ]
ω c p is obtained by the following Holstein’s phonon–electron scattering model [30]:
ω c p ( T ) = ω 0 [ 2 5 + 4 ( T T D ) 5 0 T D / T z 4 d z e z 1 ]
Here, ω 0 can be calculated from Equations (4)–(6) at 298.15 K and TD is the Debye temperature [31]. The parameters of gold and silver are given in Table 1 [32].
Based on the magneto-optical effect of MF, the refractive index is closely related to the magnetic particles in magnetic fluid. The dispersion equation of MF is given by the following Langevin-function [33]:
n MF ( H , T ) = [ n s n 0 ] [ coth ( α H H c , n T ) T α ( H H c , n ) ] + n 0 ,   H > H c , n  
here n0 is 1.4620, Hc,n is associated with the concentration of the magnetic fluid, ns represents the saturated value of the refractive index of the MF, H is the field strength in Oe, and α is the fitting parameters. The spectral characteristics can be analyzed by the propagation loss α loss and it is expressed as follows [34]:
α loss = 40 π λ In 10 Im ( n eff ) × 10 6 ( dB / m ) 8.686 Im ( n eff ) 2 π / λ
where λ is the wavelength in nm and the effective refractive index is a complex number, which is divided into the real part Re ( n eff ) and the imaginary part Im ( n eff ) . In the wavelength interrogation mode, the peak sensitivity S is described as the shift in the resonance wavelength corresponding to the variation in the magnetic field intensity, temperature, and RI of the analyte and S is expressed as follows [30]:
S ( λ ) = Δ λ p e a k Δ H = Δ λ p e a k Δ T = Δ λ p e a k Δ n
where Δ λ p e a k is the shift in the peak wavelength, Δ H is the magnetic field intensity variation, Δ T is the temperature variation, and Δ n is the RI of analyte variation. The resolution of the sensor is defined as follows [31]:
R = Δ H Δ λ min / Δ λ p e a k = Δ T Δ λ min / Δ λ p e a k = Δ n Δ λ min / Δ λ p e a k
The wavelength resolution of the detector is set to be Δ λ min = 0.1   nm .

3. Results and Discussion

Figure 2 presents the propagation losses of the core-guided mode in the x−polarized and y−polarized directions. The structural parameters are Λ = 2 μm, d1 = 0.5 μm, d2 = 1.0 μm, dsilver = 50 nm, tAu = 50 nm, na = 1.0, nc = 1.48, nMF = 1.4620 (H = 0 Oe). The Gaussian-like (HE11−like) modes are used as the core-guided modes, which can be divided into the HE11x (the predominantly x−polarized) mode and the HE11y (the predominantly y−polarized) mode. Figure 2 shows that the resonance intensity is higher, and the energy on the surface of the gold layer and silver nanowires in the x−polarized direction is greater than that in the y−polarized direction. Therefore, we analyze the biosensor in the x−polarized direction.
The dual-channel PCF-SPR biosensor is based on SPR between plasmonic modes generated by the interaction between the metal of the inner air holes and the analyte and the core-guided mode. Figure 3 presents the loss spectrum for the core-guided mode and the real part of neff of the core-guided mode and plasmonic mode. The structural parameters are the following: Λ = 2 μm, d1 = 0.5 μm, d2 = 1.0 μm, dsilver = 50 nm, tAu = 50 nm, na = 1.0, nc = 1.48, and nMF = 1.4620 (H = 0 Oe). The propagation loss of the core-guided mode is presented by the blue line, and Re (neff)) of the core-guided and plasmonic modes are shown by the black and pink lines, respectively. It can be seen from point (m) in Figure 3 that the real part of neff of the core-guided mode (black) and plasmonic mode (pink) shows an overlap at the resonance wavelength of 1550 nm, where a sharp loss occurs. The peak in the loss spectrum indicates that the maximum energy of the core-guided mode is coupled to the plasmonic mode. Insets A and B exhibit that the near-field energy is mainly concentrated in the fiber core, and the energy is transferred to the surface of the metal outside the resonance wavelength. Inset (C) illustrates the electric field distribution of the core-guided mode in the x-polarized direction at the phase-matching wavelength of 1550 nm. There is a noticeable loss at the phase-matching wavelength, resulting in a significant signal for analyte monitoring. Therefore, the sensor is sensitive to slight changes in the refractive index in the external environment. The loss spectrum is then evaluated to determine the sensor’s performance.
Figure 4 displays the loss curves of the core-guided mode for different MF hole diameters. The resonance wavelength shifts from 1600 to 1530 nm when the MF hole diameter d2 changes from 0.6 to 1.2 μm. The core-guided mode loss decreases for refractive index nMF = 1.4620 when the surrounding magnetic field intensity is zero. It can be explained by the fact that a smaller hole in the center effectively reduces the neff of the core-guided mode while matching the neff of the plasmonic mode [35]. As a result, a smaller MF hole in the center improves the coupling of the core-guided mode and plasmonic mode.
Figure 5 presents the variance in the core−guided mode for different filling states at the same wavelength, and the loss depth is bigger with the two silver nanowires. The structure parameters are the following: Λ = 2 μm, d1 = 0.5 μm, d2 = 0.6 μm, dsilver = 50 nm, tAu = 50 nm, na = 1.0, nc = 1.50, and nMF = 1.4620 (H = 0 Oe). When SPR occurs at a particular wavelength, the plasmonic modes occur on the metal surface [36]. The LSPR is stronger and sharper on the silver nanowires than without them, and hence, the silver nanowires have a large influence on the total resonance of the biosensor [37,38].
The loss response to different magnetic fields is presented in Figure 6a, where na, nc, and T are 1.0, 1.48, and 298.15 K, respectively, and the other parameters are the same. The sensing properties of the PCF-SPR magnetic field sensor are investigated under an applied magnetic field of between 0 and 271 Oe. Figure 6a shows the red-shifted wavelength and larger peak intensity in the presence of the magnetic field. As the external magnetic field gets stronger, more energy is transported from the core guided mode to the plasmonic mode, resulting in higher coupling efficiency. The resonance wavelength and loss for different magnetic fields are plotted in Figure 6b, which shows the maximum peak shift Δ λ p e a k = 60   nm . Here, the maximum peak magnetic field intensity sensitivity is as large as 1.97 nm/Oe and the resolution of magnetic field detection is 0.05 Oe.
Figure 7a shows the loss curves of the sensor at different temperatures between 10 and 60 °C. The refractive index of the analyte is 1.0, and the surrounding magnetic field intensity is 150 Oe. The resonance peaks corresponding to 10, 20, 30, 40, 50, and 60 °C are 1320, 1300, 1280, 1250, 1210, and 1165 nm, respectively, as shown in Figure 7b. The resonance wavelength shifts from 1320 to 1165 nm when the temperature varies from 10 to 60 °C. Since the effective refractive index of the MF decreases with temperature increases, less energy is transported from the core guided mode to the surface plasmon mode. The core-guided mode loss increases for refractive index nMF = 1.4620 when the surrounding magnetic field intensity is zero. The absorption loss of the gold layer and silver nanowires increases in the short wavelength direction. According to Figure 7b, the maximum temperature sensitivity is −5.5 nm/°C, and the resolution is 0.018 °C.
Figure 8a presents the loss spectra for different analytes’ refractive indexes. The resonance wavelengths corresponding to 1.47, 1.48, 1.49, 1.50, 1.51, and 1.52 are 1450 nm, 1550 nm, 1710 nm, 1900 nm, 2160 nm, and 2470 nm, respectively, as shown in Figure 8b. The resonance wavelength increases with increasing analyte refractive index. The resonance intensity increases distinctly as nc changes from 1.47 to 1.49, and the resonance intensity decreases between 1.50 and 1.52. Figure 8b reveals that the maximum peak shift is Δ λ p e a k = 310   nm . Therefore, the maximum spectral sensitivity is 31,000 nm/RIU, and the resolution is 3.22 × 10−6 RIU in the sensing range between 1.47 and 1.52. Silver nanowire-based PCF biosensor exhibits maximized sensitivity over some related research studies of nanospheres, nanorods, and other nanoparticles-based PCF sensors [39,40,41]. The refractive index sensitivity of the multifunctional biosensor with a dual-channel PCF-SPR structure has obvious advantages in its detection range, which is mainly because of its increased region of the plasmonic modes excited by the fan-shaped biosensor and more sensitive to the change of refractive index of the solution [39]. Besides the sensitivity, the sensor’s dynamic operation range, linearity, and resolution, as well as the full width at half-maxima (FWHM), are all significant criteria. The minimum FWHM is 49.61 nm for na = 1.47, as shown in Figure 6a.

4. Conclusions

A dual-channel LSPR sensor based on the MF-filled PCF is described, and mode coupling is numerically analyzed by FEM. The reflectance spectra of the MF-filled sensor are sensitive to the magnetic field and temperature. The sensor not only measures the liquid in the external environment but also determines the intensity of the magnetic field and temperature. A maximum spectral sensitivity of 31,000 nm/RIU and a resolution of 3.22 × 10−6 RIU are achieved for the sensing range between 1.47 and 1.52. The maximum sensitivities for the magnetic field and temperature are 1970 pm/Oe and −5500 pm/°C, respectively. The minimum FWHM is 49.61 nm for na = 1.47. This multifunctional PCF-SPR biosensor boasting high sensitivity and resolution has great potential in biological analysis and medical monitoring.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/coatings12060742/s1, Figure S1: (a) Schematic of the SPR PCF sensor proposed in [21,22]. (b) SEM image of gold nanofilm on the PCF surface.

Author Contributions

Conceptualization, J.L. and F.W.; methodology, C.H.; software, L.Y.; validation, H.F.; formal analysis, J.L.; investigation, J.L.; resources, Y.Z.; data curation, J.L.; writing—original draft preparation, F.W.; writing—review and editing, C.L. and P.K.C.; visualization, J.L.; supervision, C.L.; project administration, C.L.; funding acquisition, J.L. and P.K.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Natural Science Foundation of Heilongjiang Province (No. LH2021F007, J.L.), China Postdoctoral Science Foundation funded project (No. 2020M670881, J.L.), Outstanding Young and Middle-aged Scientific Research Innovation Team Project of Northeast Petroleum University (No. KYCXTDQ201901, M.L.), Research Initiation Project of Northeast Petroleum University (No. 2019KQ74, J.L.), Scholarship Foundation for Returned Overseas Students of Heilongjiang Province (No. 070-719900103, J.L.), and the Local Universities Reformation and Development Personnel Training Supporting Project from Central Authorities, City University of Hong Kong Strategic Research Grant (SRG) (No. 7005505, P.K.C.).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The authors confirm that the data supporting the findings of this study are available within the article.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) Original cross-sectional structure, and (b) FEM mesh of the PCF plasmonic biosensor.
Figure 1. (a) Original cross-sectional structure, and (b) FEM mesh of the PCF plasmonic biosensor.
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Figure 2. Loss spectra and the optical near field distribution of the sensor at the corresponding wavelength with the arrows indicating the direction of the electric field in the two polarized direction.
Figure 2. Loss spectra and the optical near field distribution of the sensor at the corresponding wavelength with the arrows indicating the direction of the electric field in the two polarized direction.
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Figure 3. Dispersion relationship of the plasmonic mode (pink line), core-guided mode (black dotted line), and loss spectrum (blue line) for the core-guided mode.
Figure 3. Dispersion relationship of the plasmonic mode (pink line), core-guided mode (black dotted line), and loss spectrum (blue line) for the core-guided mode.
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Figure 4. Loss curves of the core-guided mode for different MF hole diameter d2.
Figure 4. Loss curves of the core-guided mode for different MF hole diameter d2.
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Figure 5. Variance in the core−guided mode with and without silver nanowires.
Figure 5. Variance in the core−guided mode with and without silver nanowires.
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Figure 6. (a) Variation of magnetic field intensity and loss and (b) Variation of magnetic field intensity and resonance wavelength.
Figure 6. (a) Variation of magnetic field intensity and loss and (b) Variation of magnetic field intensity and resonance wavelength.
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Figure 7. (a,b) Resonant wavelength dependence on loss and temperature.
Figure 7. (a,b) Resonant wavelength dependence on loss and temperature.
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Figure 8. (a) Loss curve of the core-guided mode and (b) Dependence of resonance wavelengths and loss on the analyte refractive indexes nc between 1.47 and 1.52.
Figure 8. (a) Loss curve of the core-guided mode and (b) Dependence of resonance wavelengths and loss on the analyte refractive indexes nc between 1.47 and 1.52.
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Table 1. Gold and silver parameters used in the numerical simulation.
Table 1. Gold and silver parameters used in the numerical simulation.
ParametersGoldSilver
ω p 0 1.36 × 1016 (rad/s)1.3724 × 1016 (rad/s)
α V 4.26 × 10−5 (K−1)5.67 × 10−5 (K−1)
T D 170 K215 K
E F 5.51 eV5.48 eV
Γ 0.550.55
Δ 0.770.73
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MDPI and ACS Style

Lv, J.; Wang, F.; Hu, C.; Yang, L.; Fu, H.; Zeng, Y.; Chu, P.K.; Liu, C. Numerical Analysis of Multifunctional Biosensor with Dual-Channel Photonic Crystal Fibers Based on Localized Surface Plasmon Resonance. Coatings 2022, 12, 742. https://doi.org/10.3390/coatings12060742

AMA Style

Lv J, Wang F, Hu C, Yang L, Fu H, Zeng Y, Chu PK, Liu C. Numerical Analysis of Multifunctional Biosensor with Dual-Channel Photonic Crystal Fibers Based on Localized Surface Plasmon Resonance. Coatings. 2022; 12(6):742. https://doi.org/10.3390/coatings12060742

Chicago/Turabian Style

Lv, Jingwei, Famei Wang, Chunjie Hu, Lin Yang, Haihao Fu, Yanshu Zeng, Paul K. Chu, and Chao Liu. 2022. "Numerical Analysis of Multifunctional Biosensor with Dual-Channel Photonic Crystal Fibers Based on Localized Surface Plasmon Resonance" Coatings 12, no. 6: 742. https://doi.org/10.3390/coatings12060742

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