Metal–Organic Frameworks (MOFs)-Based Piezoelectric-Colorimetric Hybrid Sensor for Monitoring Green Leaf Volatiles

金属有机骨架 压电 材料科学 纳米技术 金属 环境化学 化学 有机化学 冶金 复合材料 吸附
作者
Laxmi Raj Jaishi,Wei Ding,Rick A. Kittelson,Francis Tsow,Xiaojun Xian
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:9 (12): 6553-6562 被引量:5
标识
DOI:10.1021/acssensors.4c02016
摘要

Green leaf volatiles (GLVs) are organic compounds emitted by plants in response to insect attacks, offering early detection potential. Current GLV detection methods like gas chromatography–mass spectroscopy (GC-MS) are costly and complex and lack real-time monitoring capability. There is an unmet need for affordable and portable sensors with high sensitivity to monitor GLVs in real time. In this study, we developed a novel sensor capable of capturing piezoelectric and colorimetric signals for the sensitive and selective detection of 1-hexanol, a well-known green leaf volatile. We used a piezoelectric micro quartz tuning fork (MQTF) as the multifunctional transducer. The MQTF's two prongs were coated with a metal–organic framework (MOF)-thymol blue hybrid sensing material, enabling detection through both color change and resonating frequency shift upon 1-hexanol binding. MOFs offer a high surface area and tunable pore size, which enhance sensor sensitivity and selectivity. The sensor's frequency shift indicates mass change due to 1-hexanol binding to MOFs, while the colorimetric sensing signal relies on thymol blue's reaction with 1-hexanol. Our test results demonstrate the sensor's ability to detect 1-hexanol from 62.5 ppb to 250 ppm with high sensitivity and selectivity when the colorimetric and piezoelectric sensing signals are integrated. Due to its compact size, affordability, easy fabrication, wide detection range, and high sensitivity and selectivity, this colorimetric-piezoelectric sensor could serve as an effective tool for early detection of insect herbivore attacks and timely crop protection strategies.
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
rlt完成签到,获得积分10
刚刚
刚刚
leequn发布了新的文献求助10
1秒前
1秒前
lijiawei发布了新的文献求助10
2秒前
聪明的悦悦完成签到 ,获得积分10
2秒前
2秒前
3秒前
皇太极关注了科研通微信公众号
3秒前
3秒前
清清完成签到,获得积分10
3秒前
玛卡巴卡完成签到,获得积分10
4秒前
小太阳完成签到,获得积分10
4秒前
4秒前
4秒前
张三发布了新的文献求助10
4秒前
4秒前
5秒前
5秒前
clover完成签到,获得积分10
5秒前
5秒前
5秒前
5秒前
6秒前
科研通AI2S应助Aman采纳,获得10
6秒前
ddd发布了新的文献求助10
6秒前
雾眠枕海月完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
自然白猫发布了新的文献求助10
6秒前
manji完成签到,获得积分10
6秒前
6秒前
7秒前
7秒前
JING发布了新的文献求助10
7秒前
南寻完成签到,获得积分10
8秒前
8秒前
8秒前
8秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 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 7255184
求助须知:如何正确求助?哪些是违规求助? 8877130
关于积分的说明 18745487
捐赠科研通 6935528
什么是DOI,文献DOI怎么找? 3200300
关于科研通互助平台的介绍 2374891
邀请新用户注册赠送积分活动 2175361