Self-powered and flexible gas sensor using defect-engineered WS2/G heterostructure

异质结 材料科学 光电子学 纳米技术 电气工程 工程类
作者
Xiaofei Ma,Xiaofan Cai,Meili Yuan,Yuanyuan Qu,Yang Tan,Feng Chen
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:371: 132523-132523 被引量:35
标识
DOI:10.1016/j.snb.2022.132523
摘要

Two-dimensional (2D) Transition Metal Dichalcogenides (TMDCs) are considered leading candidates for ultrathin and wearable gas sensors, owing to their unique properties, including high sensitivity to gas adsorption and flexibility. However, the ongoing Internet of Things (IoT) revolution further puts forward requirements of self-contained power for future gas sensors, and the study of the self-power performance of 2D TMDCs gas sensors to date has lagged behind other characteristics. Here, we demonstrate a photovoltaic self-powered gas sensor based on the defect-engineered WS2/G heterostructure, exhibiting excellent sensing performances, including ultra-sensitivity, and fast response. Defects induced by the ion irradiation engineer the homogeneous WS2/G into a heterogeneous WS2–0.2/G-WS2/G forming a Schottky diode with photovoltaic functions. Driven by the indoor light (500 Lx, 0.9 mW/cm2), this WS2–0.2/G-WS2/G heterostructure identifies NO2 gas by the positive change of the photocurrent and the limit of detection (LOD) toward NO2 is 50 ppb with a response time of 110 s. The sensing performance of the defect-engineered heterostructure remains stable even after 1000 cycles of bending, confirming the application potential as a flexible device. This work presents an efficient strategy for preparing the self-powered gas sensor based on two-dimensional materials, meeting the emerging Internet of Things requirements.
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
桐桐应助科研通管家采纳,获得10
刚刚
深情安青应助科研通管家采纳,获得10
刚刚
欢迎光Ling发布了新的文献求助10
刚刚
彭于晏应助科研通管家采纳,获得10
刚刚
1秒前
刻苦叫兽完成签到,获得积分10
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
六神曲应助科研通管家采纳,获得10
1秒前
充电宝应助科研通管家采纳,获得10
1秒前
molihuakai应助科研通管家采纳,获得30
1秒前
情怀应助科研通管家采纳,获得30
1秒前
2秒前
2秒前
2秒前
wanci应助科研通管家采纳,获得10
2秒前
2秒前
aajhajkahna应助科研通管家采纳,获得20
3秒前
SciGPT应助科研通管家采纳,获得10
3秒前
4秒前
4秒前
4秒前
4秒前
煊陌完成签到 ,获得积分10
4秒前
lidm发布了新的文献求助10
4秒前
邢志成发布了新的文献求助10
5秒前
6秒前
6秒前
lzh发布了新的文献求助30
6秒前
6秒前
7秒前
9秒前
hihihihihi发布了新的文献求助10
9秒前
cst发布了新的文献求助10
10秒前
11秒前
11秒前
一颗烂番茄完成签到 ,获得积分10
11秒前
聪明的芳芳完成签到 ,获得积分10
11秒前
paper发布了新的文献求助30
12秒前
别叫我吃饭饭饭完成签到 ,获得积分10
13秒前
123完成签到,获得积分10
13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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
Transdermal drug delivery systems market size report 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7641403
求助须知:如何正确求助?哪些是违规求助? 9214480
关于积分的说明 19766185
捐赠科研通 7206956
什么是DOI,文献DOI怎么找? 3276254
关于科研通互助平台的介绍 2437945
邀请新用户注册赠送积分活动 2273824