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嵌入物联网监测系统用于异丙醇气体监测的基于低功耗铟镓锌氧化物忆阻器的气体传感器

Low-Power Consumption IGZO Memristor-Based Gas Sensor Embedded in an Internet of Things Monitoring System for Isopropanol Alcohol Gas.

作者信息

Chae Myoungsu, Lee Doowon, Kim Hee-Dong

机构信息

Department of Semiconductor Systems Engineering, Convergence Engineering for Intelligent Drone, Institute of Semiconductor and System IC, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea.

IHP GmbH-Leibniz Institute for Innovative Microelectronics, Im Technologiepark 25, 15236 Frankfurt (Oder), Germany.

出版信息

Micromachines (Basel). 2023 Dec 29;15(1):77. doi: 10.3390/mi15010077.

DOI:10.3390/mi15010077
PMID:38258196
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10821175/
Abstract

Low-power-consumption gas sensors are crucial for diverse applications, including environmental monitoring and portable Internet of Things (IoT) systems. However, the desorption and adsorption characteristics of conventional metal oxide-based gas sensors require supplementary equipment, such as heaters, which is not optimal for low-power IoT monitoring systems. Memristor-based sensors (gasistors) have been investigated as innovative gas sensors owing to their advantages, including high response, low power consumption, and room-temperature (RT) operation. Based on IGZO, the proposed isopropanol alcohol (IPA) gas sensor demonstrates a detection speed of 105 s and a high response of 55.15 for 50 ppm of IPA gas at RT. Moreover, rapid recovery to the initial state was achievable in 50 μs using pulsed voltage and without gas purging. Finally, a low-power circuit module was integrated for wireless signal transmission and processing to ensure IoT compatibility. The stability of sensing results from gasistors based on IGZO has been demonstrated, even when integrated into IoT systems. This enables energy-efficient gas analysis and real-time monitoring at ~0.34 mW, supporting recovery via pulse bias. This research offers practical insights into IoT gas detection, presenting a wireless sensing system for sensitive, low-powered sensors.

摘要

低功耗气体传感器对于包括环境监测和便携式物联网(IoT)系统在内的各种应用至关重要。然而,传统的基于金属氧化物的气体传感器的解吸和吸附特性需要诸如加热器等辅助设备,这对于低功耗物联网监测系统而言并非最佳选择。基于忆阻器的传感器(气敏电阻器)因其具有高响应、低功耗和室温(RT)运行等优点,已作为创新型气体传感器得到研究。基于铟镓锌氧化物(IGZO)的所提出的异丙醇(IPA)气体传感器在室温下对50 ppm的IPA气体表现出105 s的检测速度和55.15的高响应。此外,使用脉冲电压且无需气体吹扫的情况下,可在50 μs内快速恢复到初始状态。最后,集成了一个低功耗电路模块用于无线信号传输和处理,以确保与物联网兼容。基于IGZO的气敏电阻器的传感结果的稳定性已得到证明,即使集成到物联网系统中也是如此。这实现了约0.34 mW的节能气体分析和实时监测,并支持通过脉冲偏置进行恢复。这项研究为物联网气体检测提供了实用见解,展示了一种用于灵敏、低功耗传感器的无线传感系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/d73f886871ef/micromachines-15-00077-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/aa00861d785f/micromachines-15-00077-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/950c9327cd95/micromachines-15-00077-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/4ba68fa43d8a/micromachines-15-00077-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/52c720b3b504/micromachines-15-00077-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/d73f886871ef/micromachines-15-00077-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/aa00861d785f/micromachines-15-00077-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/950c9327cd95/micromachines-15-00077-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/4ba68fa43d8a/micromachines-15-00077-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/52c720b3b504/micromachines-15-00077-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff8/10821175/d73f886871ef/micromachines-15-00077-g005.jpg

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