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用于高灵敏度实时检测的实用紧凑型导模共振传感系统

Practical and Compact Guided Mode Resonance Sensing System for Highly Sensitive Real-Time Detection.

作者信息

Chen Yen-Song, Barshilia Devesh, Hsieh Chia-Jui, Li Hsun-Yuan, Hsieh Wen-Hsin, Chang Guo-En

机构信息

Department of Mechanical Engineering, and Advanced Institute of Manufacturing with High-Tech Innovations (AIM-HI), National Chung Cheng University, Chiayi 62102, Taiwan.

出版信息

Sensors (Basel). 2025 Jun 27;25(13):4019. doi: 10.3390/s25134019.

DOI:10.3390/s25134019
PMID:40648274
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12252117/
Abstract

Guided mode resonance (GMR) sensors are known for their ultrasensitive and label-free detection, achieved by assessing refractive index (RI) variations on grating surfaces. However, conventional systems often require manual adjustments, which limits their practical applicability. Therefore, this study enhances the practicality of GMR sensors by introducing an optimized detection system based on the Jones matrix method. In addition, finite element method simulations were performed to optimize the GMR sensor structure parameter. The GMR sensor chip consists of three main components: a cyclic olefin copolymer (COC) substrate with a one-dimensional grating structure of a period of ~295 nm, a height of ~100 nm, and a ~130 nm thick TiO waveguide layer that enhances the light confinement; an integrated COC microfluidic module featuring a microchannel; and flexible tubes for efficient sample handling. A GMR sensor in conjunction with a specially designed system was used to perform RI measurements across varying concentrations of sucrose. The results demonstrate its exceptional performance, with a normalized sensitivity () and RI resolution () of 0.4 RIU and 8.15 × 10 RIU, respectively. The proposed detection system not only offers improved user-friendliness and cost efficiency but also delivers an enhanced performance, making it ideal for scientific and industrial applications, including biosensing and optical metrology, where precise polarization control is crucial.

摘要

导模共振(GMR)传感器以其超灵敏和无标记检测而闻名,通过评估光栅表面的折射率(RI)变化来实现。然而,传统系统通常需要手动调整,这限制了它们的实际应用。因此,本研究通过引入基于琼斯矩阵方法的优化检测系统来提高GMR传感器的实用性。此外,还进行了有限元方法模拟以优化GMR传感器的结构参数。GMR传感器芯片由三个主要部分组成:一个具有周期约为295nm、高度约为100nm的一维光栅结构的环烯烃共聚物(COC)衬底,以及一个厚度约为130nm的TiO波导层,该波导层增强了光限制;一个具有微通道的集成COC微流体模块;以及用于高效样品处理的柔性管。结合专门设计的系统的GMR传感器用于对不同浓度的蔗糖进行RI测量。结果表明其具有卓越的性能,归一化灵敏度()和RI分辨率()分别为0.4RIU和8.15×10RIU。所提出的检测系统不仅提供了更高的用户友好性和成本效益,而且还具有增强的性能,使其非常适合科学和工业应用,包括生物传感和光学计量,在这些应用中精确的偏振控制至关重要。

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