High-Performance Conductometric Acetone Gas Sensor Based on Co3O4/ZnO Nanorods with Abundant Oxygen Vacancies

丙酮 纳米棒 氧气 材料科学 分析化学(期刊) 纳米技术 化学 有机化学
作者
Zhenyu Yuan,Jian Zhang,Hongmin Zhu,Huai Wang,Fanli Meng
出处
期刊:IEEE Transactions on Instrumentation and Measurement [Institute of Electrical and Electronics Engineers]
卷期号:73: 1-12 被引量:3
标识
DOI:10.1109/tim.2023.3347801
摘要

Acetone exhibits flammability, explosiveness, and toxicity, rendering it a multifaceted hazard. Moreover, acetone serves as a vital biomarker for diabetes. Consequently, the demand for low-concentration acetone gas detection sensors is increasingly pressing in numerous sectors, including industrial processes and medical applications. In this study, we report a novel sensor based on Co 3 O 4 /ZnO Nanorods and investigate the influence of Co doping induced oxygen vacancies and the presence of Co 3 O 4 on the sensing properties. The sensor was prepared through a simple one-step hydrothermal method and named Co/ZnONRs. The morphology, composition, and oxygen vacancy defects of the Co/ZnONRs were characterized using various techniques including SEM, TEM, EDS, XRD, XPS, and EPR. Characterization and gas sensing test results have demonstrated that the 1-Co/ZnONRs sensor outperformed previously reported designs, exhibiting high response values, short response times, good selectivity, and low detection limits towards acetone. Specifically, at 250 °C, the sensor demonstrated a response value of 833.33 towards 100 ppm acetone, which is an increase of 10 times compared to the response value of ZnONRs, while the optimal operating temperature decreased by 50 °C, and the detection limit was as low as 100 ppb. The improved sensor performance is attributed to several factors such as changes in resistance caused by active sites generated by Co doping ZnO to form oxygen vacancies, the Co 3 O 4 /ZnO heterojunction, the high specific surface area of Co/ZnONRs, and the unique catalytic activity of Co 3 O 4 . These findings demonstrate the potential of our innovative design to significantly improve the accuracy and efficiency of gas sensors used in industrial processes and medical diagnoses.

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
stone发布了新的文献求助10
刚刚
zhouwei发布了新的文献求助10
刚刚
刘步遥完成签到 ,获得积分10
1秒前
发嗲的迎天完成签到 ,获得积分10
2秒前
cdercder应助吹笛到天明采纳,获得10
2秒前
所所应助跳跃采纳,获得10
3秒前
阿喀琉斯拉完成签到 ,获得积分10
3秒前
王李俊完成签到,获得积分10
4秒前
俏皮半仙发布了新的文献求助10
4秒前
ttang11发布了新的文献求助10
4秒前
tkx是流氓兔完成签到,获得积分10
4秒前
5秒前
5秒前
清茶韵心发布了新的文献求助10
5秒前
Hello应助待等花开采纳,获得10
5秒前
听雨完成签到,获得积分10
5秒前
月亮完成签到,获得积分10
5秒前
cc完成签到,获得积分10
5秒前
自觉平灵发布了新的文献求助10
6秒前
日尧完成签到,获得积分10
6秒前
Jasper应助Literaturecome采纳,获得10
7秒前
企鹅完成签到,获得积分10
7秒前
星辰大海应助高木同学采纳,获得10
7秒前
科研通AI6.2应助灰二采纳,获得10
7秒前
Orange应助TheLimerence采纳,获得10
8秒前
vv关注了科研通微信公众号
8秒前
hh发布了新的文献求助10
10秒前
duanjinhua完成签到,获得积分10
11秒前
11秒前
12秒前
12秒前
12秒前
Tinker发布了新的文献求助10
13秒前
cathy完成签到 ,获得积分10
13秒前
QX完成签到,获得积分10
13秒前
火星上友易完成签到,获得积分10
13秒前
尕尕完成签到,获得积分10
13秒前
俏皮半仙完成签到,获得积分10
14秒前
清茶韵心完成签到,获得积分10
15秒前
桐桐应助Jankin采纳,获得10
15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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
The Effective Clinical Neurologist 3ed 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 7714003
求助须知:如何正确求助?哪些是违规求助? 9269470
关于积分的说明 20077137
捐赠科研通 7290332
什么是DOI,文献DOI怎么找? 3298096
关于科研通互助平台的介绍 2452293
邀请新用户注册赠送积分活动 2305279