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

IF 8.2 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Laxmi Raj Jaishi, Wei Ding, Rick A. Kittelson, Francis Tsow, Xiaojun Xian
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Abstract

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.

Abstract Image

基于金属有机框架 (MOFs) 的压电-比色混合传感器用于监测绿叶挥发物
绿叶挥发物(GLVs)是植物在受到昆虫攻击时释放的有机化合物,具有早期检测的潜力。目前的绿叶挥发物检测方法,如气相色谱-质谱法(GC-MS),既昂贵又复杂,而且缺乏实时监测能力。因此,人们需要价格低廉、灵敏度高的便携式传感器来实时监测 GLV。在这项研究中,我们开发了一种新型传感器,能够捕捉压电信号和比色信号,用于灵敏、选择性地检测众所周知的绿叶挥发性物质--1-己醇。我们使用压电微型石英音叉(MQTF)作为多功能传感器。MQTF 的两个棱上涂有金属有机框架(MOF)-百里酚蓝混合传感材料,可在 1- 己醇结合时通过颜色变化和共振频率偏移进行检测。MOF 具有高表面积和可调孔径,可提高传感器的灵敏度和选择性。传感器的频移显示了 1- 己醇与 MOFs 结合后的质量变化,而比色传感信号则依赖于百里酚蓝与 1- 己醇的反应。我们的测试结果表明,当比色传感信号和压电传感信号相结合时,传感器能够检测 62.5 ppb 至 250 ppm 的 1-己醇,并具有高灵敏度和高选择性。这种比色-压电传感器体积小巧、价格低廉、易于制造、检测范围广、灵敏度和选择性高,可作为早期检测昆虫食草动物攻击和及时采取作物保护策略的有效工具。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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