1 Introduction

Diabetes is considered one of the most spread chronic diseases all over the globe (W. Organization 2016). By definition, it is a metabolic disorder in which the sugar level in the blood is high for a long time (W. Organization 2016). Based on the World Health Organization (WHO) surveys, more than 463 million people had diabetes worldwide in 2019 (W. Organization 2016). The later symptoms of diabetes can lead to several complications among them increased thirst, stroke, blindness, diabetic ketoacidosis, and eventually death (Yan et al. 2023). Diabetes is caused because either the pancreas is unproperly secreting insulin, or the body cells are not responding efficiently to the insulin (Wang et al. 2022). In the meantime, there is no certain cure for diabetes. Nevertheless, diabetes is better dealt with by monitoring the glucose level in the blood. Therefore, it is of great interest for researchers to develop glucose sensors with high sensitivities, small footprints, and commercial prices.

Compact optical sensors based on different platforms such as photonic crystal fibers (PCFs) (Azad et al. 2022; Kaur et al. 2022; Mumtaz et al. 2023; Zhao et al. 2022), silicon photonic (Fouad et al. 2020; Mehaney et al. 2021), plasmonic (Hassanen et al. 2020; Wang et al. 2021b) were developed with different functioning mechanisms including directional couplers (Uddin et al. 2021), ring resonators (Tan et al. 2021b), Mach–Zehnder (Amin et al. 2021) and multi-mode interferometers (Wang et al. 2021a). Photonic crystal fiber sensors have gained a lot of attention in the recent years owing to the strong light-matter interaction in line and cavity defects in their photonic crystal structures, and their fabrication maturity (silica fibers). The air holes forming the photonic crystal structure in PCFs can be infiltrated with analytes to monitor the interaction of electromagnetic radiation with the analyte material and its impact on different parameters such as coupling length, birefringence and relative sensitivity. Different applications of PCF sensors were reported such as biosensors (Meshginqalam and Barvestani 2022; Sarker et al. 2021), temperature (Dhara and Singh 2021; Rabbi et al. 2021), pressure (Gowda et al. 2023; Yang et al. 2021), gas and liquid sensors (Eid et al. 2021; Fard et al. 2021; Maidi et al. 2021; Sardar et al. 2021). One key characteristic of PCFs is tunable birefringence (Devika et al. 2022). The values of birefringence obtained from PCFs is higher than that of conventional birefringent fiber by an order of 103 magnitude (Tan et al. 2021a). Also, the obtained birefringence from PCFs is significantly insensitive to temperature (Rajan et al. 2022) which results in operation stability of the sensor at different surrounding temperatures, which makes such sensors highly desirable in different working environments and operation sites. High birefringent PCFs are used in polarization-maintaining fibers for optical fiber sensing (Leon et al. 2021), special lasers (Li et al. 2022) and long-distance communications (Yu et al. 2022). Birefringence occurs when the two orthogonal polarized modes in the fiber travel at different speeds due to an introduced asymmetry in the core region. This asymmetry can be achieved by creating an asymmetric central defect or by changing the shape and the size of the air holes around the fiber’s core. So far, numerous PCFs are proposed for diabetes sensing, However, to the best of our knowledge, we hereby report the highest birefringence values for such PCF sensors, owing to the detailed study and optimization of the air-filling fraction.

In this paper, we propose a simple design of PCF that can be used as a glucose sensor. This design is chosen to be as simple as possible for easy fabrication. The sensing principle of this PCF is to monitor the variations in the refractive index of glucose solutions with different concentrations. The performance of this fiber is further investigated by determining some key parameters such as birefringence, relative sensitivity and coupling length. The structure parameters of this fiber are studied to optimize its performance. A comparison between the performance of our model and others from the literature is to given to show the efficiency of our model. Furthermore, we introduce all the technical and experiemtnal requirements needed for manufacturing and operating the PCF.

2 Design and working principle

The proposed glucose-sensing PCF, shown in Fig. 1, has one elliptical channel that is filled with the analyte. This elliptical channel divides the fiber core into two separate cores where the light will propagate in them as shown in the simulations of Fig. 2. Around the core, there is an air-holes hexagonal lattice of two rings. The basic purpose of these air holes is to reduce the mean refractive index of the cladding to maintain a total internal reflection in the core. This design was kept as simple as possible for the ease of manufacture. As increasing the air rings will make the model more complex for fabrication.

Fig. 1
figure 1

a Sensing fiber with hollow core for analyte passage and photonic crystal structure surrounding it, b The cross-sectional area of the photonic crystal fiber

Fig. 2
figure 2

The electric field distribution in the dual-core photonic crystal fiber

The elliptical channel has a minor and major axis of a and b, respectively, as shown in Figure 1. In addition, to be used as a channel for infiltration, this channel is used to introduce asymmetry to the propagating mode which gives rise to high birefringence. The cladding consists of two circular air holes rings arranged in a hexagonal shape. The radius of each air hole is d and the distance between any two adjacent air holes is the pitch, given by Ʌ. The ratio between air hole radius and the pitch is called the air filling fraction and it has a significant impact on the properties of the PCF. This ratio will be further optimized to investigate for the best possible results.

The fiber diameter is 6 μm and the cladding air holes have a radius d  =  0.7 μm and a pitch Ʌ  =  2 μm (d/Ʌ  =  0.35). The elliptic air hole has a semi-major axis b = 1 μm and a semi minor axis a = 0.3 μm (a/b = 0.3). For this model, fused silica was chosen to be the sensor’s clad material. Fused silica has several positive aspects including being inert with chemicals, having high thermal stability, and can be used in ultraviolet to near-infrared applications (Hasan et al. 2017). The refractive indices values of silica are given using Lumerical’s library (Palik 1998).

There are several fabrication techniques that can be used to fabricate this model such as sol–gel casting, stack-and-draw, die casting, and extrusion (Yajima et al. 2013). Circular air holes can be fabricated using sol–gel or stack-and-draw techniques. While the elliptical air holes can be made using die casting (Guiyao et al. 2006) or chemical polymerization method (Zhang et al. 2006). For the elliptical channel infiltration, numerous techniques can be used such as the fusion splicer-based collapsing-cladding air hole (Xiao et al. 2005) or the femtosecond laser-supported technique (Wang et al. 2010). In the first technique, the central hole was infiltrated with some polymer by the capillary action, and then the polymer was cured by a UV lamp, finally the fiber ends were cleaved. For reusing the fiber, it is vital to dispose of all the residuals from previous samples. The cleaning agent has to interact strongly with the sample and gently with the fiber walls. For polar analytes, surface adsorption must be prevented by introducing a hydrophobic silane layer. For nonpolar analytes, the continuous flow of a good cleaning agent can solve this problem.

The refractive index RI of the glucose solutions ng is calculated using the following equation (An et al. 2017):

$${\mathbf{n}}_{{\varvec{g}}} = 11.889 \times 10^{ - 5} \times {\mathbf{GC}} + 1.332305$$
(1)

Where GC is the concentration of glucose solution (g/L). Table 1 presents the RI of the analytes used in our study.

Table 1 The refractive index of some glucose solutions with different concentrations

3 Theoretical background

Finite element method (FEM) was used to numerically analyze the PCF model in Lumerical MODE module https://support.lumerical.com/hc/en-us/articles/1500007184901-Lumerical-Citation-Instruction. This method can provide us with the comprehensive performance of this PCF. Also, several equations were used to fully characterize the optical properties to investigate the effectiveness of this model. The investigated parameters are birefringence, coupling length, and relative sensitivity.

Birefringence B equals the difference between the two real parts of the effective index of two perpendicular polarization states; x-polarization and y-polarization, its formula is (Isti et al. 2020):

$${\varvec{B}} = \left| {{\varvec{n}}_{{{\varvec{eff}}}}^{{\varvec{x}}} - {\varvec{n}}_{{{\varvec{eff}}}}^{{\varvec{y}}} } \right|$$
(2)

Coupling length Lc of any fiber gives the exact length where the total optical power between two polarization states is transferred. It can be calculated using the following equation (Mollah et al. 2020):

$${\varvec{L}}_{{\varvec{c}}} = \frac{{\varvec{\lambda}}}{{\left| {{\varvec{n}}_{{{\varvec{eff}}}}^{{\varvec{x}}} - {\varvec{n}}_{{{\varvec{eff}}}}^{{\varvec{y}}} } \right|}}$$
(3)

In order to investigate the ability of the fiber to detect any analytes, the relative sensitivity r must be calculated. It is defined as (Eid et al. 2021):

$${\varvec{r}} = \frac{{{\varvec{n}}_{{\varvec{r}}} }}{{{\varvec{n}}_{{{\varvec{eff}}}} }}\user2{f }$$
(4)

Where nr is the refractive index of the used analyte, neff is the real part of the effective index of mode and f is the total power fraction delivered in the core region.

4 Results and discussion

Air-filling fraction is a key parameter in PCF as it controls the power delivery and the confinement loss. We used three different values of the air-filling fraction to investigate their influence on the PCF performance parameters such as birefringence. Firstly, we used an air-filling fraction of 0.35, air hole radius  =  0.7 μm and pitch  =  2 μm.

Figure 3 shows the birefringence of the five glucose concentrations at this air-filling fraction. It is clearly seen that; the highest birefringence values are related to the analyte with the lowest concentration (0 g/L). This can be explained that, increasing the RI of the analyte, increased the two cores mean RI. Hence, they have RI nearly equals to the analyte refractive index. Thus, light leaks from the two cores into the elliptical channel and it became a part of the solid core.

Fig. 3
figure 3

The relation between the birefringence and wavelength for the air-filling fraction of 0.35

Figure 4 represents the coupling length of the different glucose solutions. It is obviously seen that increasing the operating wavelength and the concentration of the glucose solution will increase the coupling length. The relative sensitivity was calculated for all the concentrations at the x-polarization modes. The calculated sensitivities were 84.55%, 84.66%, 84.92%, 84.97%, 85.02% for the concentrations of 0, 10, 20, 30, and 40, respectively. This can be explained that, by increasing the analyte refractive index, the power delivered in the core region increased due to the reduced confinement loss.

Fig. 4
figure 4

The relation between coupling length and wavelength for the air-filling fraction of 0.35

Then, we increased the air-filling fraction to 0.40 by increasing the air hole radius to 0.8 μm. Figure 5 shows the birefringence of the different glucose concentrations at this air-filling fraction. This figure shows a significant increase in the birefringence values for all concentrations. Coupling length was also calculated and illustrated in Fig. 6. The values showed a steady increase, especially for high glucose concentration solutions. To complete our investigation about this air-filling fraction, we calculated the relative sensitivity for 0, 10, 20, 30, and 40 concentrations and found them to be 89.11%, 89.21%, 89.31%, 89.41% and 89.51%, respectively.

Fig. 5
figure 5

The relation between birefringence and wavelength for the air-filling fraction of 0.40

Fig. 6
figure 6

The relation between coupling length and wavelength for the air-filling fraction of 0.40

Finally, the air-filling fraction of 0.45 was used by increasing the air holes radius to 0.9 μm. This was the maximum air-filling fraction to reach as the air holes will overlap at higher fractions. Figure 7 shows the relation between the birefringence and the operating wavelength. The values of birefringence showed a notable increase compared to the birefringence of other air-filling fractions. On the other hand, coupling length, depicted in Fig. 8, showed a significant decrease for this fraction. Relative sensitivity was determined for the different concentrations and found to be 89.93%, 90.02%, 90.12%, 90.20% and 91.00%, respectively. Increasing the air-filling fraction increased the birefringence from nearly 2.5 × 10−3 to 4 × 10−3. Table 2 represents a comparison between the calculated birefringence and other values in previous literature.

Fig. 7
figure 7

The relation between birefringence and wavelength for the air-filling fraction of 0.45

Fig. 8
figure 8

The relation between coupling length and wavelength for the air-filling fraction of 0.40

Table 2 A comparison between the previous mentioned birefringence values and our calculated value.

In conclusion, our proposed model introduces a high birefringence for glucose sensing. Also, we found that increasing the air-filling fraction can increase the birefringence and the relative sensitivity, and decrease the coupling length significantly.

5 Conclusion

In this study, we suggested a simple design of photonic crystal fiber for diabetes sensing. The detection principle is based on the change in refractive index of the blood sample. In order to enhance the sensor performance, the sensor performance was studied at different air-filling fractions. At the air-filling fraction 0.45, the sensor showed the highest birefringence of 4.01×10−3, relative sensitivity of 91%, and the lowest value of coupling length of 162.09 μm. Due to the features such as simple design, portability, easy detection process, and environmental compatibility, we think that the suggested PCF sensor can be used as a diabetes sensor in the near future.