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基于壳聚糖的柔性电容式湿度传感器用于呼吸监测。

Flexible Chitosan-Based Capacitive Humidity Sensors for Respiratory Monitoring.

机构信息

School of Maritime and Transportation, Ningbo University, Ningbo 315800, China.

出版信息

Sensors (Basel). 2024 Feb 20;24(5):1352. doi: 10.3390/s24051352.

Abstract

As one of the most important human health indicators, respiratory status is an important basis for the diagnosis of many diseases. However, the high cost of respiratory monitoring makes its use uncommon. This study introduces a low-cost, wearable, flexible humidity sensor for respiratory monitoring. Solution-processed chitosan (CS) placed on a polyethylene terephthalate substrate was used as the sensing layer. An Arduino circuit board was used to read humidity-sensitive voltage changes. The CS-based sensor demonstrated capacitive humidity sensitivity, whereby the capacitance instantly increased from 10 to 30 nF when the environmental humidity changed from 43% to 97%. The capacitance logarithm sensitivity and response voltage change was 35.9 pF/%RH and 0.8 V in the RH range from 56% to 97%. And the voltage variation between inhalation and exhalation was ~0.5 V during normal breathing. A rapid response time of ~0.7 s and a recovery time of ~2 s were achieved during respiration testing. Breathing modes (i.e., normal breathing, rest breathing, deep breathing, and fast breathing) and tonal changes during speech could be clearly distinguished. Therefore, such sensors provide a means for economical and convenient wearable respiratory monitoring, and they have the potential to be used for daily health examinations and professional medical diagnoses.

摘要

作为最重要的人类健康指标之一,呼吸状态是许多疾病诊断的重要依据。然而,呼吸监测的成本高昂,使其应用并不常见。本研究介绍了一种低成本、可穿戴、灵活的湿度传感器,用于呼吸监测。以聚对苯二甲酸乙二醇酯(PET)为基底,旋涂壳聚糖(CS)溶液作为敏感层。使用 Arduino 电路板读取湿度敏感电压变化。基于 CS 的传感器表现出电容式湿度敏感性,当环境湿度从 43%变化到 97%时,电容会立即从 10 到 30 nF 增加。在 56%到 97%的相对湿度范围内,电容对数灵敏度和响应电压变化分别为 35.9 pF/%RH 和 0.8 V。在正常呼吸过程中,吸气和呼气之间的电压变化约为 0.5 V。在呼吸测试中,达到了约 0.7 s 的快速响应时间和约 2 s 的恢复时间。可以清晰地区分呼吸模式(如正常呼吸、休息呼吸、深呼吸和快速呼吸)和语音中的音高变化。因此,这些传感器为经济便捷的可穿戴呼吸监测提供了一种手段,有望用于日常健康检查和专业医疗诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a54/10934340/9c7e09cf9562/sensors-24-01352-g001.jpg

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