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IntelliSense Bio-Ionotronics Battery for Early Warning of Geological Seepage
2023
发表期刊ACS SENSORS (IF:8.2[JCR-2023],8.4[5-Year])
ISSN2379-3694
EISSN2379-3694
卷号8期号:7页码:2731-2739
发表状态已发表
DOI10.1021/acssensors.3c00579
摘要

Waterseepage-induced geological hazards (SIGHs), including landslides,collapse, debris flow, and ground fissures, often cause substantialhuman mortality, economic losses, and environmental damage. However,an early warning of geological water seepage remains a significantchallenge. A self-powered, cost-effective, reliable, and susceptibleSIGH early warning system (SIGH-EWS) is reported herein. This systemdesigned the all-solid, sustainable, fire retardant, and safe-to-usebio-ionotronic batteries to provide a stable power supply for Internetof Things chipsets. Furthermore, the batteries' outstandinghumidity and water sensitivity allow sensing of the water seepageemergence. Integrating energy management and wireless communicationsystems, the SIGH-EWS realizes timely alerts for early water seepagein different water and soil environments with a time resolution inseconds. Based on these merits, the SIGH-EWS demonstrates promisingapplication prospects for early warning of geological disasters andcorresponding design strategies that can potentially guide the designsof next-generation geological hazard alarm systems.

关键词silk bacterial cellulose ionotronics wireless sensor self-powered water seepage
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收录类别SCI ; EI
语种英语
资助项目National Natural Science Foundation of China[
WOS研究方向Chemistry ; Science & Technology - Other Topics
WOS类目Chemistry, Multidisciplinary ; Chemistry, Analytical ; Nanoscience & Nanotechnology
WOS记录号WOS:001011141200001
出版者AMER CHEMICAL SOC
EI入藏号20232614307919
EI主题词Alarm systems
EI分类号481.1 Geology ; 702.1 Electric Batteries ; 911.2 Industrial Economics ; 914.1 Accidents and Accident Prevention
原始文献类型Journal article (JA)
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/303062
专题物质科学与技术学院_硕士生
信息科学与技术学院_PI研究组_梁俊睿组
物质科学与技术学院_PI研究组_凌盛杰组
物质科学与技术学院_PI研究组_李健组
信息科学与技术学院_硕士生
物质科学与技术学院_PI研究组_刘一凡组
共同第一作者Dai, Chenchen; Yang, Hailiang
通讯作者Chen, Wenshuai; Liang, Junrui; Ling, Shengjie
作者单位
1.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai 201210, Peoples R China
2.Northeast Forestry Univ, Key Lab Biobased Mat Sci & Technol, Minist Educ, Harbin 150040, Peoples R China
3.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
4.Shanghai Clin Res & Trial Ctr, Shanghai 201210, Peoples R China
第一作者单位物质科学与技术学院
通讯作者单位信息科学与技术学院;  物质科学与技术学院
第一作者的第一单位物质科学与技术学院
推荐引用方式
GB/T 7714
Zhu, Jinling,Dai, Chenchen,Yang, Hailiang,et al. IntelliSense Bio-Ionotronics Battery for Early Warning of Geological Seepage[J]. ACS SENSORS,2023,8(7):2731-2739.
APA Zhu, Jinling.,Dai, Chenchen.,Yang, Hailiang.,Shan, Yicheng.,Ren, Jing.,...&Ling, Shengjie.(2023).IntelliSense Bio-Ionotronics Battery for Early Warning of Geological Seepage.ACS SENSORS,8(7),2731-2739.
MLA Zhu, Jinling,et al."IntelliSense Bio-Ionotronics Battery for Early Warning of Geological Seepage".ACS SENSORS 8.7(2023):2731-2739.
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