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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
For label-free sensors, Optical Refractive Index Sensor (RI) detection is frequently utilized. The study of biological molecules detection, drug compound screening, and gas detection has all been studied using RI-based sensing. A sensor's performance can be fully characterized by its detection limit (DL).
Lower detection limits can be attained by using resonances with high-quality factors (Q) or RI sensitivity (S). For localized RI sensing, surface plasmon resonance (SPR) biosensors have received much research and are now commercially accessible.Significant SPR biosensor sensitivity is possible, but low Q is due to high metal absorption.
In order to create small, highly effective on-chip integrated sensors for RI, photonic crystal (PhC) devices, such as localized PhC defect cavities, slotted PhC cavities, and photonic crystal slabs (PCS), have been extensively investigated.
Localized PhC defect cavities provide a reasonably high Q of 104 to 105, but the sensitivity is only about 100 nm/RIU due to a minimal field-to-analyte overlap. By expanding the mode field overlap with the analyte, slotted PhC cavities can obtain better sensitivity.
The gadget is susceptible to fabrication flaws, though, which places a practical upper limit on the quality factors that may be attained. While a Q of 103 to 104 has been established experimentally, a high Q of 107 is theoretically achievable in slotted PhC cavities.
Delicate alignment is often needed to minimize coupling loss when coupling the light from the fiber into the on-chip waveguide for localized defects and slotted PhC cavities.
Additionally, the analytes' slow diffusion into the sub-micrometer-sized defect cavities and slot region may have a negative effect on the sensor's reaction time.
The external light that is vertically incident on the PCS structures may effectively excite fano resonances there. Waves that coexist with the continuous radiation spectrum while staying completely restricted and radiation-free are known as bound states in the continuum (BIC).
BICs are found in photonic crystals of one and two dimensions (1D and 2D), as well as discrete k-points, where the lifetime and Q are both unlimited.
By selecting the right distance between the two slabs, linked bi-layer PCS can produce Fabry-Perot BICs. By adjusting the spacing between coupled bi-layer PCS or tilting the light away from the surface-normal direction, an extraordinarily high Q can be obtained when coupling to these perturbed BICs.
The Global Optical Refractive Index Sensor market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
PixClear Titania solutions for optical refractive index sensors are being introduced by Pixelligent, whose PixClear high-index Designer Compounds provide unmatched brightness, clarity, and operational efficiencies for a wide range of display and optoelectronic applications.
The PixClear Titania product line offers a refractive index range of 1.85 to 2.0+, with transparency in excess of 95%, at loadings higher than 80%. It has applications for augmented and virtual reality, OLED/QD Displays, and optical sensors among others.
With PixClear Titania, our customers may now simultaneously achieve record optical performance and durable mechanical qualities, which was previously impossible.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |