Autonomous and Ultrasensitive Low-Power Metal Oxide Nanofiber Gas Sensor for Source Tracking and Localization

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Qing Ma, Shihang Cao, Haoyang Wang, Yao Tang, Limei Liu, Enbo Xue, Ziyun Le, Xuyang Feng, Chenhua Wang, Litao Sun, Tobin J. Marks, Binghao Wang
{"title":"Autonomous and Ultrasensitive Low-Power Metal Oxide Nanofiber Gas Sensor for Source Tracking and Localization","authors":"Qing Ma, Shihang Cao, Haoyang Wang, Yao Tang, Limei Liu, Enbo Xue, Ziyun Le, Xuyang Feng, Chenhua Wang, Litao Sun, Tobin J. Marks, Binghao Wang","doi":"10.1021/acssensors.4c03676","DOIUrl":null,"url":null,"abstract":"Current toxic gas detection methods in industrial and environmental settings are limited by their reliance on manual monitoring and stationary sensors. Here, we present an autonomous mobile gas sensing system offering real-time monitoring and precise gas source localization without the need for human intervention. Room-temperature gas sensors based on high specific surface area indium gallium zinc oxide nanofibers (IGZO NFs) are developed, which exhibit low power consumption (∼0.5 mW), exceptional sensitivity (∼1290% ppb<sup>–1</sup>), and a low detection limit of 20 ppb for toxic NO<sub>2</sub>. When integrated into an autonomous mobile platform and supported by adaptive biologically inspired algorithms, the system exhibits a source localization efficiency of ∼1.5 m min<sup>–1</sup>, offering a remote, scalable, and efficient solution for detecting and localizing toxic gas leaks.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"40 1","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acssensors.4c03676","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Current toxic gas detection methods in industrial and environmental settings are limited by their reliance on manual monitoring and stationary sensors. Here, we present an autonomous mobile gas sensing system offering real-time monitoring and precise gas source localization without the need for human intervention. Room-temperature gas sensors based on high specific surface area indium gallium zinc oxide nanofibers (IGZO NFs) are developed, which exhibit low power consumption (∼0.5 mW), exceptional sensitivity (∼1290% ppb–1), and a low detection limit of 20 ppb for toxic NO2. When integrated into an autonomous mobile platform and supported by adaptive biologically inspired algorithms, the system exhibits a source localization efficiency of ∼1.5 m min–1, offering a remote, scalable, and efficient solution for detecting and localizing toxic gas leaks.

Abstract Image

用于源跟踪和定位的自主超灵敏低功耗金属氧化物纳米纤维气体传感器
目前工业和环境环境中的有毒气体检测方法受到人工监测和固定传感器的限制。在这里,我们提出了一个自主的移动气体传感系统,提供实时监测和精确的气源定位,而无需人工干预。开发了基于高比表面积铟镓锌氧化物纳米纤维(IGZO NFs)的室温气体传感器,其具有低功耗(~ 0.5 mW),卓越的灵敏度(~ 1290% ppb - 1)和对有毒NO2的低检测限为20 ppb。当集成到自主移动平台并由自适应生物启发算法支持时,该系统显示出约1.5 m min-1的源定位效率,为检测和定位有毒气体泄漏提供了远程,可扩展和高效的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信