清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Innovations in WO3 gas sensors: Nanostructure engineering, functionalization, and future perspectives

表面改性 纳米技术 材料科学 石墨烯 表面工程 纳米结构 软件可移植性 氧化物 计算机科学 机械工程 工程类 冶金 程序设计语言
作者
Xingxing Li,Li Fu,Hassan Karimi‐Maleh,Fei Chen,Shichao Zhao
出处
期刊:Heliyon [Elsevier]
卷期号:10 (6): e27740-e27740 被引量:60
标识
DOI:10.1016/j.heliyon.2024.e27740
摘要

This review critically examines the progress and challenges in the field of nanostructured tungsten oxide (WO3) gas sensors. It delves into the significant advancements achieved through nanostructuring and composite formation of WO3, which have markedly improved sensor sensitivity for gases like NO2, NH3, and VOCs, achieving detection limits in the ppb range. The review systematically explores various innovative approaches, such as doping WO3 with transition metals, creating heterojunctions with materials like CuO and graphene, and employing machine learning models to optimize sensor configurations. The challenges facing WO3 sensors are also thoroughly examined. Key issues include cross-sensitivity to different gases, particularly at higher temperatures, and long-term stability affected by factors like grain growth and volatility of dopants. The review assesses potential solutions to these challenges, including statistical analysis of sensor arrays, surface functionalization, and the use of novel nanostructures for enhanced performance and selectivity. In addition, the review discusses the impact of ambient humidity on sensor performance and the current strategies to mitigate it, such as composite materials with humidity shielding effects and surface functionalization with hydrophobic groups. The need for high operating temperatures, leading to higher power consumption, is also addressed, along with possible solutions like the use of advanced materials and new transduction principles to lower temperature requirements. The review concludes by highlighting the necessity for a multidisciplinary approach in future research. This approach should combine materials synthesis, device engineering, and data science to develop the next generation of WO3 sensors with enhanced sensitivity, ultrafast response rates, and improved portability. The integration of machine learning and IoT connectivity is posited as a key driver for new applications in areas like personal exposure monitoring, wearable diagnostics, and smart city networks, underlining WO3's potential as a robust gas sensing material in future technological advancements.
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
ikouyo完成签到 ,获得积分10
57秒前
会飞的螃蟹完成签到,获得积分10
1分钟前
1分钟前
高高元柏发布了新的文献求助10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
Ryan完成签到 ,获得积分10
1分钟前
小树完成签到 ,获得积分10
1分钟前
高高元柏完成签到,获得积分20
1分钟前
量子星尘发布了新的文献求助10
1分钟前
科研通AI6.2应助午后狂睡采纳,获得10
1分钟前
1分钟前
wzbc完成签到,获得积分10
2分钟前
贝贝Rach发布了新的文献求助40
2分钟前
2分钟前
Ann完成签到,获得积分10
2分钟前
零玖完成签到 ,获得积分10
3分钟前
orixero应助科研通管家采纳,获得10
3分钟前
科目三应助科研通管家采纳,获得10
3分钟前
夜雨完成签到 ,获得积分10
3分钟前
3分钟前
康康完成签到 ,获得积分10
4分钟前
午后狂睡发布了新的文献求助10
4分钟前
彭于晏应助贝贝Rach采纳,获得20
4分钟前
忘忧Aquarius完成签到,获得积分10
4分钟前
午后狂睡发布了新的文献求助10
5分钟前
忆雪完成签到,获得积分10
5分钟前
xiaowangwang完成签到 ,获得积分10
5分钟前
优秀棒棒糖完成签到 ,获得积分10
5分钟前
5分钟前
脑洞疼应助科研通管家采纳,获得10
5分钟前
kyle完成签到 ,获得积分10
5分钟前
贝贝Rach发布了新的文献求助20
5分钟前
zzhui完成签到,获得积分10
5分钟前
5分钟前
风云无泪完成签到 ,获得积分10
5分钟前
充电宝应助YQQ采纳,获得10
6分钟前
留白完成签到 ,获得积分10
6分钟前
瞬间发布了新的文献求助10
6分钟前
6分钟前
YQQ发布了新的文献求助10
7分钟前
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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6051121
求助须知:如何正确求助?哪些是违规求助? 7855427
关于积分的说明 16267275
捐赠科研通 5196196
什么是DOI,文献DOI怎么找? 2780511
邀请新用户注册赠送积分活动 1763453
关于科研通互助平台的介绍 1645469