Influence of morphology and heterostructure formation on the NO₂ gas sensing properties of the ZnO-NiO system

非阻塞I/O 异质结 形态学(生物学) 材料科学 化学工程 纳米技术 光电子学 化学 地质学 工程类 生物化学 古生物学 催化作用
作者
Julia Coelho Tagliaferro,Amanda Akemy Komorizono,Natalia Candiani Simões Pessoa,M. R. Correia,Maria Inês Basso Bernardi,Valmor Roberto Mastelaro
出处
期刊:Talanta open [Elsevier BV]
卷期号:10: 100388-100388 被引量:10
标识
DOI:10.1016/j.talo.2024.100388
摘要

• The formation of heterostructures improved the gas sensing selectivity property. • ZnO/NiO donuts-based sensors show good response and high selectivity for NO 2 . • ZnO/NiO needles sensor shows lower selectivity but a higher response to O 3 . • The synthesis route for the ZnO/NiO heterostructures is a cheap and fast alternative. The detection of toxic gases has gained significant attention in recent decades. Among various gas-sensing materials, metal oxide semiconductors (MOS) have emerged as highly promising due to their exceptional physical and chemical properties. However, a major limitation of MOS-based gas sensors is their lack of specificity, as they often respond to multiple gases, complicating the identification of target gases in mixed environments. This challenge can be addressed by combining two or more MOS materials to form a heterojunction, which modifies the electronic structure and enhances selectivity. NiO, a p-type semiconductor, has demonstrated the ability to improve both selectivity and sensor response when combined with ZnO, an n-type semiconductor. In this study, ZnO particles were synthesized via a precipitation method to produce two distinct morphologies: needle- and donut-like. These ZnO particles were subsequently combined with NiO via a hydrothermal reaction to form an n-p heterojunction. The selectivity of the resulting sensors was evaluated against O₃, NO₂, NH₃, and CO gases. The results indicated that ZnO sensors with needle- and donut-like morphologies exhibited high responses to oxidizing gases but lacked adequate selectivity between them. In contrast, the ZnO/NiO donut-like heterostructure demonstrated high selectivity for NO₂ detection.
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
小树发布了新的文献求助10
1秒前
土土文发布了新的文献求助10
1秒前
ray完成签到,获得积分10
1秒前
南风完成签到,获得积分10
2秒前
wangchiyi完成签到,获得积分10
2秒前
4秒前
4秒前
7秒前
yrq关闭了yrq的文献求助
9秒前
隐形挑战者完成签到,获得积分10
10秒前
谪仙发布了新的文献求助10
10秒前
无涯发布了新的文献求助10
10秒前
anj完成签到,获得积分10
12秒前
My完成签到,获得积分10
12秒前
俏皮的孤丹完成签到 ,获得积分10
13秒前
两只晕虾完成签到,获得积分10
13秒前
Ling完成签到 ,获得积分10
13秒前
15秒前
15秒前
小树完成签到,获得积分10
15秒前
16秒前
16秒前
gtgyh完成签到 ,获得积分10
17秒前
yydy完成签到,获得积分10
17秒前
光亮熠彤发布了新的文献求助10
17秒前
樱丸小桃子完成签到,获得积分10
18秒前
爱学习的憨憨鸭完成签到,获得积分10
18秒前
土土文发布了新的文献求助10
19秒前
徐晔发布了新的文献求助10
19秒前
21秒前
5322发布了新的文献求助10
21秒前
DW的应助被樱丸小桃子采纳,获得10
22秒前
1111chen发布了新的文献求助10
22秒前
似不是发布了新的文献求助10
22秒前
科研通AI6.2的应助被高强采纳,获得10
23秒前
陈平安完成签到,获得积分10
25秒前
26秒前
呐呐呐完成签到,获得积分10
27秒前
4Y完成签到 ,获得积分10
27秒前
haha发布了新的文献求助10
28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
Encyclopedia of Reagents for Organic Synthesis, 14 Volume Set, 2nd Edition(本书共14册,本求助8volume-14volume共7册,独立harcover版本,非网络版本e-EROS 版,不能网络版转化PDF或提取PDF) 2000
Aspects of Post-SPE Phonology 2000
Nanocomposite Removal of Pesticides from Wastewater 1500
Practical Manual of Forensic Psychophysiology: Methodology, Execution, and Fields of Application 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre 666
Practical Nonconvex Nonsmooth Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 物理 生物化学 化学工程 内科学 复合材料 催化作用 心理学 人工智能 细胞生物学 光电子学 无机化学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 7928400
求助须知:如何正确求助?哪些是违规求助? 9420845
关于积分的说明 20944514
捐赠科研通 7521580
什么是DOI,文献DOI怎么找? 3365454
关于科研通互助平台的介绍 2502657
邀请新用户注册赠送积分活动 2397040