亲爱的研友该休息了!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,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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
40秒前
咕咕咕咕咕纯完成签到,获得积分20
41秒前
火鸡味锅巴完成签到 ,获得积分10
54秒前
55秒前
1分钟前
小马甲应助link采纳,获得10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
1分钟前
所所应助Nano采纳,获得10
1分钟前
1分钟前
1分钟前
Lee发布了新的文献求助10
1分钟前
wuju完成签到,获得积分10
1分钟前
JamesPei应助悦耳的柠檬采纳,获得10
2分钟前
2分钟前
link发布了新的文献求助10
2分钟前
田様应助科研通管家采纳,获得10
2分钟前
愔愔应助科研通管家采纳,获得20
2分钟前
2分钟前
2分钟前
3分钟前
Nano发布了新的文献求助10
3分钟前
3分钟前
云墨完成签到 ,获得积分10
3分钟前
3分钟前
woxinyouyou完成签到,获得积分10
3分钟前
李健应助Nano采纳,获得10
4分钟前
小二郎应助科研通管家采纳,获得10
4分钟前
HYQ完成签到 ,获得积分10
4分钟前
狂野的含烟完成签到 ,获得积分10
5分钟前
5分钟前
5分钟前
ycy完成签到 ,获得积分10
5分钟前
传奇3应助悦耳的柠檬采纳,获得10
6分钟前
MOMO完成签到,获得积分10
6分钟前
6分钟前
6分钟前
6分钟前
我是老大应助科研通管家采纳,获得10
6分钟前
秋天的菠菜完成签到 ,获得积分10
6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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6158701
求助须知:如何正确求助?哪些是违规求助? 7986799
关于积分的说明 16598230
捐赠科研通 5267492
什么是DOI,文献DOI怎么找? 2810682
邀请新用户注册赠送积分活动 1790813
关于科研通互助平台的介绍 1657989