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基于微结谐振器辅助马赫曾德尔干涉仪的高性能超快湿度传感器用于监测人体呼吸

High-Performance Ultrafast Humidity Sensor Based on Microknot Resonator-Assisted Mach-Zehnder for Monitoring Human Breath.

作者信息

Yi Yating, Jiang Yuxuan, Zhao Haiyan, Brambilla Gilberto, Fan Yaxian, Wang Pengfei

机构信息

Key Laboratory of In-fiber Integrated Optics of the Ministry of Education, College of Science, Harbin Engineering University, Harbin 150001, China.

Optoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, U.K.

出版信息

ACS Sens. 2020 Nov 25;5(11):3404-3410. doi: 10.1021/acssensors.0c00863. Epub 2020 Oct 14.

Abstract

Monitoring the dynamic humidity requires sensors with fast response and anti-electromagnetic interference, especially for human respiration. Here, an ultrafast fiber-optic breath sensor based on the humidity-sensitive characteristics of gelatin film is proposed and experimentally demonstrated. The sensor consists of a microknot resonator superimposed on a Mach-Zehnder (MZ) interferometer produced by a tapered single-mode fiber, which has an ultrafast response (84 ms) and recovery time (29 ms) and a large dynamic transmission range. The humidity in dynamic ambient causes changes in the refractive index of gelatin coating, which could trigger spectral intensity transients that can be explicitly distinguished between the two states. The sensing principle is analyzed using the traditional transfer-matrix analysis method. The influence of coating thickness on the sensor's trigger threshold is further investigated. Experiments on monitoring breath patterns indicate that the proposed breath sensor has high repeatability, reliability, and validity, which enable many other potential applications such as food processing, health monitoring, and other biomedical applications.

摘要

监测动态湿度需要具有快速响应和抗电磁干扰能力的传感器,尤其是用于人体呼吸监测时。在此,我们提出并通过实验证明了一种基于明胶膜湿度敏感特性的超快光纤呼吸传感器。该传感器由叠加在由锥形单模光纤制成的马赫-曾德尔(MZ)干涉仪上的微结谐振器组成,具有超快响应(84毫秒)和恢复时间(29毫秒)以及较大的动态传输范围。动态环境中的湿度会导致明胶涂层的折射率发生变化,这可能引发光谱强度瞬变,从而可以明确区分两种状态。使用传统的传输矩阵分析方法对传感原理进行了分析。进一步研究了涂层厚度对传感器触发阈值的影响。监测呼吸模式的实验表明,所提出的呼吸传感器具有高重复性、可靠性和有效性,这使其能够应用于许多其他潜在领域,如食品加工、健康监测和其他生物医学应用。

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