High performance langasite based SAW NO2 gas sensor using 2D g-C3N4@TiO2 hybrid nanocomposite

材料科学 声表面波 二氧化氮 吸附 选择性 相对湿度 异质结 纳米复合材料 氧气 检出限 光电子学 纳米技术 分析化学(期刊) 化学 光学 环境化学 有机化学 催化作用 物理 热力学 色谱法
作者
Kedhareswara Sairam Pasupuleti,Maddaka Reddeppa,Sourabh S. Chougule,Na-Hyun Bak,Dong-Jin Nam,Namgee Jung,Hak Dong Cho,Song‐Gang Kim,Moon-Deock Kim
出处
期刊:Journal of Hazardous Materials [Elsevier BV]
卷期号:427: 128174-128174 被引量:163
标识
DOI:10.1016/j.jhazmat.2021.128174
摘要

Nitrogen dioxide (NO2) gas has emerged as a severe air pollutant that causes damages to the environment, human life and global ecosystems etc. However, the currently available NO2 gas sensors suffers from insufficient selectivity, sensitivity and long response times that impeding their practical applicability for room temperature (RT) gas sensing. Herein, we report a high performance langasite (LGS) based surface acoustic wave (SAW) RT NO2 gas sensor using 2-dimensional (2D) g-C3N4@TiO2 nanoplates (NP) with {001} facets hybrid nanocomposite as a chemical interface. The g-C3N4@TiO2 NP/LGS SAW device showed a significant negative frequency shift (∆f) of ~19.8 kHz which is 2.4 fold higher than that of the pristine TiO2 NP/LGS SAW sensor toward 100 ppm of NO2 at RT. In addition, the hybrid SAW device fascinatingly exhibited a fast response/recovery time with a low detection limit, high selectivity, and an effective long term stability toward NO2 gas. It also exhibited an enhanced and robust negative frequency shifts under various relative humidity conditions ranging from 20% to 80% for 100 ppm of NO2 gas. The high performance of the g-C3N4 @TiO2 NP/LGS SAW gas sensor can be attributed to the enhanced mass loading effect which was assisted by the large surface area, oxygen vacancies, OH and amine functional groups of the n-n hybrid heterojunction of g-C3N4@TiO2 NP that provide abundant active sites for the adsorption and diffusion of NO2 gas molecules. These results emphasize the significance of the integration of 2D materials with metal oxides for SAW based RT gas sensing technology holds great promise in environmental protection.
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
taowang14完成签到,获得积分10
刚刚
Lliu完成签到,获得积分10
1秒前
Aurora应助sunshine采纳,获得10
1秒前
zjl发布了新的文献求助10
1秒前
1秒前
搜集达人应助脆弱的刺猬采纳,获得20
1秒前
哈哈就是你哦完成签到,获得积分10
1秒前
2秒前
领导范儿应助魔君采纳,获得10
2秒前
2秒前
3秒前
611完成签到,获得积分10
4秒前
迷人雪珊完成签到 ,获得积分10
4秒前
Hello应助初景采纳,获得10
4秒前
柒柒完成签到,获得积分10
5秒前
5秒前
5秒前
Enigma_GEB应助伊犁河采纳,获得10
5秒前
cocopan发布了新的文献求助10
6秒前
烟花应助kmning采纳,获得10
6秒前
6秒前
英俊的铭应助金卓妍采纳,获得10
7秒前
隐形的机器猫完成签到,获得积分10
7秒前
7秒前
碇真嗣发布了新的文献求助10
7秒前
ww完成签到 ,获得积分10
8秒前
Altain完成签到,获得积分10
8秒前
9秒前
Zyy发布了新的文献求助10
9秒前
GAP完成签到,获得积分10
9秒前
zjl完成签到,获得积分10
10秒前
孤独的寒烟完成签到,获得积分10
10秒前
奇点报废生产线完成签到,获得积分10
10秒前
晓元完成签到 ,获得积分10
10秒前
11秒前
欣喜的访云完成签到,获得积分10
11秒前
小犹太完成签到,获得积分10
11秒前
yannna完成签到,获得积分10
11秒前
canyon完成签到,获得积分10
11秒前
legend完成签到,获得积分0
12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
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7768358
求助须知:如何正确求助?哪些是违规求助? 9311607
关于积分的说明 20324623
捐赠科研通 7353348
什么是DOI,文献DOI怎么找? 3315682
关于科研通互助平台的介绍 2464810
邀请新用户注册赠送积分活动 2330312