Mid-infrared refractive index sensor with high sensitivity and wide detection range based on multimode interference in tellurite optical fibers

Song, Dianchang; Liu, Wei; Yin, Zhiyuan; Wang, Qi; Yan, Xin; Zhang, Xuenan; Wang, Fang; Suzuki, Takenobu; Ohishi, Yasutake; Cheng, Tonglei

doi:10.1016/j.rio.2023.100458

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…Enhanced and highly sensitive detection capabilities are achievable in the mid-IR range spanning 2–20 μm. This spectral region is particularly advantageous for identifying characteristic fingerprint absorptions of numerous biomolecules, making it well-suited for precise and selective biomolecular detection [ 19 , 20 ]. Silica optical fibre can work up to the mid-IR spectral range.…”

Section: Introductionmentioning

confidence: 99%

A Novel Biosensor for the Detection of Glucose Concentration Using the Dual-Peak Long Period Grating in the Near- to Mid-Infrared

Sahoo,

Sun,

Tan

et al. 2024

Sensors

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In this article, we demonstrate an improved efficient fibre sensor with a high sensitivity to measure glucose concentrations in the physiological range of human beings, operating in a broad spectral bandwidth from the near- to mid-infrared. The sensor consists of a dual-peak long period grating (DPLPG) with a period of 150 μm inscribed in an optical fibre with a diameter of 80 μm. The investigation of sensing for refractive index results in a sensitivity of ~−885.7 nm/refractive index unit (RIU) and ~2008.6 nm/RIU in the range of 1.30–1.44. The glucose measurement is achieved by the immobilisation of a layer of enzyme of glucose oxidase (GOD) onto the fibre surface for the selective enhancement of sensitivity for glucose. The sensor can measure glucose concentrations with a maximum sensitivity of −36.25 nm/(mg/mL) in the range of 0.1–3.0 mg/mL. To the best of our knowledge, this is the highest sensitivity ever achieved for a measurement of glucose with a long period grating-based sensor, indicating its potential for many applications including pharmaceutical, biomedical and food industries.

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Section: Introductionmentioning

confidence: 99%