Perception-transduction-transmission separation bionic H2S sensor

InfoScience Pub Date : 2026-03-31 Epub Date: 2025-07-08 DOI:10.1002/inc2.70002
Guoliang Lv, Jilong Wu, Zihang Huang, Zheng Zhang, Pengwei Tan, Yuanyuan Luo, Guotao Duan
{"title":"Perception-transduction-transmission separation bionic H2S sensor","authors":"Guoliang Lv,&nbsp;Jilong Wu,&nbsp;Zihang Huang,&nbsp;Zheng Zhang,&nbsp;Pengwei Tan,&nbsp;Yuanyuan Luo,&nbsp;Guotao Duan","doi":"10.1002/inc2.70002","DOIUrl":null,"url":null,"abstract":"<p>Achieving high selectivity, high sensitivity, and superior conductivity simultaneously for chemiresistive gas sensors (CGS) remains a significant challenge due to inherent trade-offs among the material's properties. Inspired by biological olfaction, we design and fabricate a Ni-MOF/SnO<sub>2</sub> heterojunction as a perception-transduction-transmission separation membrane for bionic CGS, where Ni-MOF acts as a selective perception layer for H<sub>2</sub>S, SnO<sub>2</sub> serves as the electron transmission and proton blocking layer, while the heterojunction enables efficient signal transduction from perception to transmission. The sensor demonstrates exceptional performance, including fingerprint-level selectivity, high moisture stability, and an ultra-low detection limit of 10 ppb. Notably, the sensor operates based on the heterojunction rectification enhancement model. The sensitivity is solely determined by the Ni-MOF perception layer, while the baseline current is governed by the SnO<sub>2</sub> transmission layer. By reducing the resistance of SnO<sub>2</sub>, the net response is geometrically amplified. Additionally, applying a bias voltage enables geometric acceleration of the response/recovery rates. This study proposes a novel strategy for designing high-performance CGS.</p>","PeriodicalId":100671,"journal":{"name":"InfoScience","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/inc2.70002","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"InfoScience","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/inc2.70002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/8 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Achieving high selectivity, high sensitivity, and superior conductivity simultaneously for chemiresistive gas sensors (CGS) remains a significant challenge due to inherent trade-offs among the material's properties. Inspired by biological olfaction, we design and fabricate a Ni-MOF/SnO2 heterojunction as a perception-transduction-transmission separation membrane for bionic CGS, where Ni-MOF acts as a selective perception layer for H2S, SnO2 serves as the electron transmission and proton blocking layer, while the heterojunction enables efficient signal transduction from perception to transmission. The sensor demonstrates exceptional performance, including fingerprint-level selectivity, high moisture stability, and an ultra-low detection limit of 10 ppb. Notably, the sensor operates based on the heterojunction rectification enhancement model. The sensitivity is solely determined by the Ni-MOF perception layer, while the baseline current is governed by the SnO2 transmission layer. By reducing the resistance of SnO2, the net response is geometrically amplified. Additionally, applying a bias voltage enables geometric acceleration of the response/recovery rates. This study proposes a novel strategy for designing high-performance CGS.

Abstract Image

Abstract Image

Abstract Image

Abstract Image

感知-转导-传输分离仿生H2S传感器
由于材料性质之间的内在权衡,同时实现高选择性,高灵敏度和优越的导电性对于化学电阻气体传感器(CGS)来说仍然是一个重大挑战。受生物嗅觉的启发,我们设计并制造了Ni - MOF/ sno2异质结作为仿生CGS的感知-转导-传输分离膜,其中Ni - MOF作为h2 S的选择性感知层,sno2作为电子传输和质子阻断层,而异质结实现了从感知到传输的有效信号转导。该传感器具有优异的性能,包括指纹级选择性,高湿度稳定性和10 ppb的超低检测限。值得注意的是,该传感器基于异质结整流增强模型工作。灵敏度完全由Ni - MOF感知层决定,而基线电流由sno2传输层控制。通过降低SnO 2的电阻,净响应呈几何级放大。此外,施加偏置电压可以实现响应/恢复速率的几何加速。本研究提出了一种设计高性能CGS的新策略。
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
自引率
0.00%
发文量
0
×
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
小红书