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基于流动调制离子迁移谱-微机电系统的丙酮传感器

Acetone Sensor Based on FAIMS-MEMS.

作者信息

Zhang Junna, Lei Cheng, Liang Ting, Liu Ruifang, Zhao Zhujie, Qi Lei, Ghaffar Abdul, Xiong Jijun

机构信息

State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.

State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.

出版信息

Micromachines (Basel). 2021 Dec 9;12(12):1531. doi: 10.3390/mi12121531.

DOI:10.3390/mi12121531
PMID:34945383
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8703384/
Abstract

In this paper, to address the problems of large blood draws, long testing times, and the inability to achieve dynamic detection of invasive testing for diabetes, stemming from the principle that type 1 diabetic patients exhale significantly higher levels of acetone than normal people, a FAIMS-MEMS gas sensor was designed to detect acetone, which utilizes the characteristics of high sensitivity, fast response, and non-invasive operation. It is prepared by MEMS processes, such as photolithography, etching, and sputtering, its specific dimensions are 4000 μm in length, 3000 μm in width and 800 μm in height and the related test system was built to detect acetone gas. The test results show that when acetone below 0.8 ppm is introduced, the voltage value detected by the sensor basically does not change, while when acetone gas exceeds 1.8 ppm, the voltage value detected by the sensor increases significantly. The detection accuracy of the sensor prepared by this method is about 0.02 ppm/mV, and the voltage change can reach 1 V with a response time of 3 s and a recovery time of 4 s when tested under 20 ppm acetone environment; this has good repeatability and stability, and has great prospects in the field of non-invasive detection of type 1 diabetes.

摘要

在本文中,针对1型糖尿病患者呼出的丙酮水平显著高于正常人这一原理所导致的糖尿病有创检测存在的采血量多、检测时间长以及无法实现动态检测等问题,设计了一种用于检测丙酮的流动调制离子迁移谱-微机电系统(FAIMS-MEMS)气体传感器,该传感器具有高灵敏度、快速响应和非侵入式操作的特点。它通过光刻、蚀刻和溅射等微机电系统工艺制备,其具体尺寸为长4000μm、宽3000μm、高800μm,并构建了相关测试系统来检测丙酮气体。测试结果表明,当引入低于0.8ppm的丙酮时,传感器检测到的电压值基本不变,而当丙酮气体超过1.8ppm时,传感器检测到的电压值显著增加。用该方法制备的传感器检测精度约为0.02ppm/mV,在20ppm丙酮环境下测试时,响应时间为3s,恢复时间为4s,电压变化可达1V;具有良好的重复性和稳定性,在1型糖尿病非侵入式检测领域具有广阔前景。

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本文引用的文献

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2
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Adv Exp Med Biol. 2021;1324:83-90. doi: 10.1007/5584_2020_572.
3
Ternary Gas Mixture Quantification Using Field Asymmetric Ion Mobility Spectrometry (FAIMS).
使用场不对称离子迁移谱(FAIMS)对三元气体混合物进行定量分析。
Sensors (Basel). 2019 Jul 8;19(13):3007. doi: 10.3390/s19133007.
4
Sensing Technologies for Detection of Acetone in Human Breath for Diabetes Diagnosis and Monitoring.用于糖尿病诊断和监测的人体呼出气体中丙酮检测的传感技术
Diagnostics (Basel). 2018 Jan 31;8(1):12. doi: 10.3390/diagnostics8010012.
5
A Portable Real-Time Ringdown Breath Acetone Analyzer: Toward Potential Diabetic Screening and Management.一种便携式实时衰荡呼吸丙酮分析仪:迈向潜在的糖尿病筛查与管理
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6
GC-Based Techniques for Breath Analysis: Current Status, Challenges, and Prospects.基于气相色谱的呼吸分析技术:现状、挑战与展望。
Crit Rev Anal Chem. 2016 Jul 3;46(4):291-304. doi: 10.1080/10408347.2015.1055550. Epub 2015 Nov 3.
7
The application of FAIMS gas analysis in medical diagnostics.流动调制离子迁移谱气体分析在医学诊断中的应用。
Analyst. 2015 Oct 21;140(20):6775-81. doi: 10.1039/c5an00868a.
8
Portable method of measuring gaseous acetone concentrations.便携式气态丙酮浓度测量方法。
Talanta. 2013 Aug 15;112:26-30. doi: 10.1016/j.talanta.2013.03.052. Epub 2013 Mar 31.
9
A sub-ppm acetone gas sensor for diabetes detection using 10 nm thick ultrathin InN FETs.使用 10nm 厚的超薄 InN FET 实现亚 ppm 级丙酮气体传感器,用于糖尿病检测。
Sensors (Basel). 2012;12(6):7157-68. doi: 10.3390/s120607157. Epub 2012 May 29.
10
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Anal Chim Acta. 2012 Aug 13;738:69-75. doi: 10.1016/j.aca.2012.06.002. Epub 2012 Jun 12.