3D ZnO/ZIF‐8 Hierarchical Nanostructure for Sensitive and Selective NO2 Sensing at Room Temperature

纳米结构 选择性 材料科学 丙酮 纳米技术 涂层 金属有机骨架 甲苯 工作温度 半导体 检出限 图层(电子) 化学工程 催化作用 光电子学 化学 吸附 色谱法 有机化学 工程类 物理 热力学
作者
Jinho Lee,Hongju Lee,Tae‐Hyun Bae,Donghwi Cho,Myungwoo Choi,Gwangmin Bae,Young‐Seok Shim,Seokwoo Jeon
出处
期刊:Small structures [Wiley]
卷期号:5 (4) 被引量:12
标识
DOI:10.1002/sstr.202300503
摘要

Gas sensors based on semiconductor metal oxides (SMOs) have gained widespread attention for Internet of Things applications; however, high operating temperatures and low gas selectivity limit their applications. Recently, metal–organic frameworks (MOFs) have demonstrated potential in enhancing gas selectivity through the physical filtration of gas molecules based on their kinetic diameters. However, their application has been predominantly limited to simplistic nanostructured sensors. These sensors exhibit inherently inferior gas sensor performance compared to three‐dimensional nanostructure gas sensors. In this study, a highly periodic, 3D hierarchical ZnO/ZIF‐8 nanostructure is fabricated for photoactivated gas sensing at room temperature. Under UV illumination, the gas sensor exhibited a 17‐fold enhancement in gas response toward 0.1 ppm NO 2 compared to pristine ZnO. In addition, the ZIF‐8 coating selectively increased the NO 2 gas response compared to ethanol, acetone, and toluene gases, thereby improving the gas selectivity. The gas response improvement by the ZIF‐8 layer coating, which has not been achieved by previous studies, is based on enhanced photoactivation by the solid interaction between ZIF‐8 and ZnO. These results provide a systematic background for controlling the layer thickness of SMO‐MOF nanostructures and the catalytic role of MOF in photoactivated gas sensing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研通AI6.4应助乔木自燃采纳,获得10
1秒前
月123456发布了新的文献求助10
3秒前
孙昭发布了新的文献求助10
3秒前
5秒前
5秒前
熊小松完成签到,获得积分10
5秒前
刘岩完成签到,获得积分10
5秒前
顺心凡发布了新的文献求助10
5秒前
小达发布了新的文献求助10
6秒前
6秒前
Lin完成签到,获得积分10
6秒前
三D完成签到,获得积分10
6秒前
刻苦的惜梦完成签到,获得积分10
7秒前
molihuakai应助于yu采纳,获得10
8秒前
JamesPei应助Dr_思念采纳,获得10
8秒前
纪外绣发布了新的文献求助30
9秒前
9秒前
10秒前
10秒前
小萌新发布了新的文献求助10
11秒前
12秒前
故事讲完啦完成签到,获得积分10
12秒前
阔达水之完成签到,获得积分10
12秒前
14秒前
neuarcher完成签到,获得积分10
14秒前
刘岩发布了新的文献求助10
14秒前
犹豫晓啸发布了新的文献求助30
15秒前
华仔应助jinmh采纳,获得10
15秒前
123完成签到,获得积分10
15秒前
李健应助顺心凡采纳,获得10
16秒前
充电宝应助为科研奋斗采纳,获得10
17秒前
neuarcher发布了新的文献求助30
17秒前
隐形曼青应助cocolinfly采纳,获得10
17秒前
19秒前
19秒前
20秒前
领导范儿应助Jiali采纳,获得10
21秒前
21秒前
义气的哈密瓜完成签到 ,获得积分10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363522
求助须知:如何正确求助?哪些是违规求助? 8177450
关于积分的说明 17232877
捐赠科研通 5418629
什么是DOI,文献DOI怎么找? 2867141
邀请新用户注册赠送积分活动 1844328
关于科研通互助平台的介绍 1691850