用于人工嗅觉系统的无形成化学记忆气体传感

IF 8 1区 化学 Q1 CHEMISTRY, ANALYTICAL
June Soo Kim, Yujin Nam, Da Ye Kim, Noah Jang, Hyunjun Kim, Seung Deok Kim, Van Khoe Vo, Maeum Han, Seong Ho Kong
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引用次数: 0

摘要

这项工作介绍了一种新的化学记忆式气体传感器,用于在室温下工作而不需要外部加热器的人工嗅觉系统。该传感器采用无形成Ti/TiO2/Pt忆阻器件,其中氧空位簇可以在高阻和低阻状态之间实现稳定和可重复的电阻切换。气体感测是通过选择性地调节这些空位来实现的:暴露于氧化气体(如NO2)会破坏导电丝并增加电阻,而还原性气体(如NH3)会以最小的电阻变化促进丝的形成。该装置具有快速的响应和恢复时间,在多个循环中可靠的耐久性,以及在通过电压调节调节风险水平的同时存储气体暴露历史的独特能力。与人工神经网络的集成进一步验证了该平台对不同气体浓度的高识别精度,这突显了其在环境监测和医疗保健领域低功耗传感器内计算应用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forming-free Chemi-memristive Gas Sensing for Artificial Olfactory System
This work introduces a novel chemi-memristive gas sensor for artificial olfactory systems that operate at room temperature without requiring external heaters. The sensor utilizes a forming-free Ti/TiO2/Pt memristive device, where oxygen-vacancy clusters enable stable and repeatable resistive switching between high-resistance and low-resistance states. Gas sensing is achieved by selectively modulating these vacancies: exposure to oxidizing gases (e.g., NO2) disrupts the conductive filament and increases resistance, while reducing gases (e.g., NH3) promote filament formation with minimal resistance changes. The device exhibits rapid response and recovery times, reliable endurance over multiple cycles, and the unique ability to store gas-exposure history while adjusting risk levels through voltage tuning. Integration with an artificial neural network further validates the platform’s high recognition accuracy for varying gas concentrations, which underscores its potential for low-power, in-sensor-computing applications in environmental monitoring and healthcare.
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来源期刊
Sensors and Actuators B: Chemical
Sensors and Actuators B: Chemical 工程技术-电化学
CiteScore
14.60
自引率
11.90%
发文量
1776
审稿时长
3.2 months
期刊介绍: Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.
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