Molecularly selective sensors based on organic semiconductors and artificial receptors: demonstrations and scaling studies

基于有机半导体和人工受体的分子选择性传感器：演示和规模研究

• 批准号: 1804915
• 负责人: Alberto Salleo
• 金额: $ 30万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-15 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1804915&HistoricalAwards=false
• 关键词: Molecularly; selective; sensors; based; organic

A robust sensing technology, suitable for wearable devices, will be developed for continuous monitoring of molecules secreted by the human body. Electrically active polymers will be combined with molecularly selective polymers to sense a range of molecules in a sensitive and selective way. The sensor fabrication process will take advantage of the same technology developed to fabricate microprocessors, thus giving access to a wide range of sensor sizes and shapes in order to determine the optimum sensor geometry. Furthermore, the electrical response of the sensor will be modeled mathematically in order to predict the best sensor design. Finally, several sensors will be arrayed to demonstrate the simultaneous detection of several molecules of interest. The development of a general sensing technology based on plastics has the potential to produce a substantial impact in the world of low-cost wearable sensors suitable for non-hospital based applications. Furthermore, the workforce trained with these funds will have an interdisciplinary outlook, being equally comfortable with electronics and with biomedical applications in the realm of analytical chemistry.Enzyme-based sensing is not robust for wearables or measurements in non-controlled environments. A new transduction method is proposed where an organic electrochemical transistor (OECT) is functionalized with a robust molecularly imprinted polymer (MIP) incorporated in a membrane. The MIP acts as an artificial receptor and selectively binds to the molecule that was imprinted in it during the fabrication phase. This is an entirely new sensor device concept, which incorporates selectivity (from the membrane) and sensitivity (thanks to the gain given by the transistor). This approach works in a cortisol sensor, which is compatible with wearable electronics as it is sensitive (thanks to the electronic gain of the transistor), operates at low voltages and can be fabricated on flexible substrates. Device scaling studies will demonstrate that sensitivity and range can be controlled with device geometry. The effect of processing on the selectivity and sensitivity of the membrane will be studied as well. Ultimately these experimental data will be used to build and validate a complete device model, which will give insights into the device physics of the sensor and will be used for a priori design of sensors with arbitrary architectures. Because the concept of OECT and artificial receptor membranes is general, the model will be a useful design tool for this entire family of novel sensors.Finally, the MIP-functionalization approach is quite general as will be demonstrated by building a multiplexed sensor array that will sense two hormones (cortisol and adrenaline) in addition to other electrolytes in a single sample. A high-school teacher will be involved in the project with the goal of using the materials investigated to fabricate a ?visible? transistor, i.e. a device where the switching process can be viewed by naked eye. The goal is to provide a simple demonstration for high-school students helping them understand the basic functionality of the device that is at the heart of the IT revolution.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

适用于可穿戴设备的强大传感技术将开发用于对人体分泌的分子的连续监测。电活动聚合物将与分子选择性聚合物结合使用，以敏感和选择性的方式感知一系列分子。传感器制造工艺将利用制造微处理器开发的相同技术，从而访问各种传感器尺寸和形状，以确定最佳的传感器几何形状。此外，将使用数学建模传感器的电响应，以预测最佳的传感器设计。最后，将对几个传感器进行数组，以证明对几个感兴趣的分子的同时检测。基于塑料的一般传感技术的开发有可能对适合非医院应用的低成本可穿戴传感器产生重大影响。此外，接受这些资金训练的劳动力将具有跨学科的前景，对电子产品同样舒适，并且在分析化学领域中使用生物医学应用。基于酶的感应对可穿戴设备或在非控制环境中的测量值不强。提出了一种新的转导方法，其中有机电化学晶体管（OECT）用掺入膜中的强大分子印刷聚合物（MIP）功能化。 MIP充当人造受体，并选择性地结合在制造阶段中印有其印记的分子。这是一个全新的传感器设备概念，它结合了（来自膜）和灵敏度（由于晶体管给出的增益）。这种方法可在皮质醇传感器中起作用，该传感器与可穿戴电子设备兼容（由于晶体管的电子增益），可在低压下运行，可以在柔性基板上制造。设备缩放研究将证明可以通过设备几何形状控制灵敏度和范围。也将研究加工对膜选择性和灵敏度的影响。最终，这些实验数据将用于构建和验证完整的设备模型，该模型将洞悉传感器的设备物理，并将用于具有任意体系结构的传感器的先验设计。由于OECT和人造受体膜的概念是一般的，因此该模型将是整个新型传感器家族的有用设计工具。从本文中，MIP官能化方法是相当一般的，正如将通过在单个单个样品中构建两个激素（皮质醇和肾上腺素）的多重传感器阵列所证明的。一位高中老师将参与该项目，目的是使用所调查的材料来制造可见？晶体管，即可以通过肉眼查看开关过程的设备。目的是为高中生提供一个简单的演示，以帮助他们了解IT革命核心设备的基本功能。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估审查标准来通过评估来获得支持的。

项目成果

Redox-Active Polymers Designed for the Circular Economy of Energy Storage Devices

• DOI: 10.1021/acsenergylett.1c01625
• 发表时间: 2021-09
• 期刊: ACS Energy Letters
• 影响因子: 22
• 作者: Siew Ting Melissa Tan;T. Quill;Maximilian Moser;G. LeCroy;Xingxing Chen;Yilei Wu;Christopher J Takacs;Alberto Salleo;Alexander Giovannitti

High‐Gain Chemically Gated Organic Electrochemical Transistor

• DOI: 10.1002/adfm.202010868
• 发表时间: 2021-03
• 期刊: Advanced Functional Materials
• 影响因子: 19
• 作者: S. T. M. Tan;Alexander Giovannitti;A. Melianas;Maximilian Moser;Benjamin L. Cotts;Devan Singh;I. McCulloch-I

Wearable Organic Electrochemical Transistor Patch for Multiplexed Sensing of Calcium and Ammonium Ions from Human Perspiration

• DOI: 10.1002/adhm.201901321
• 发表时间: 2019-11-12
• 期刊: ADVANCED HEALTHCARE MATERIALS
• 影响因子: 10
• 作者: Keene, Scott T.;Fogarty, Daragh;Parlak, Onur
• 通讯作者: Parlak, Onur

Operation mechanism of organic electrochemical transistors as redox chemical transducers

有机电化学晶体管作为氧化还原化学传感器的工作机制

• DOI: 10.1039/d1tc02224e
• 发表时间: 2021
• 期刊: Journal of Materials Chemistry C
• 影响因子: 6.4
• 作者: Tan, Siew Ting;Keene, Scott;Giovannitti, Alexander;Melianas, Armantas;Moser, Maximilian;McCulloch, Iain;Salleo, Alberto
• 通讯作者: Salleo, Alberto