自校准型电极阵列芯片电位传感器的构建及在现场检测中的应用研究

传感技术是人工智能发展所需的核心技术之一，全固态电位传感器易于小型化和阵列化并趋于芯片化，在发展人工智能所需的传感器方面具有巨大潜力。但是，如何提高芯片电位传感器电极响应性能的重现性和实现传感电极基准电位自校准调零，使得电位传感可现场直接获得含量信息是芯片电位传感器发展中的两个关键问题。本项目拟构建自校准型电极阵列芯片电位传感器并将其用于多目标物现场快速检测。通过研究合成融识别元件与转导元件为一体的新型复合传感材料，以实现传感芯片简便、高效地制备和提高电极响应性能重现性；通过基于传感单元的方法构建电位传感自校准体系，消除溶液背景基质引起的传感电极基准电位的不确定性，克服传感过程中电极基准电位需预先校准的难题；以环境监测、食品安全分析和疾病自诊断为应用领域，制备具有应用价值的自校准型电极阵列芯片电位传感器，解决这些领域急需的多目标物现场快速检测的问题，为人工智能所需的传感器发展提供新技术。

Sensing technology is one of the key technologies required by the development of artificial intelligence. All-solid-state potentiometric sensors are easy to be miniaturized and arrayed, and tend to be fabricated on chip, showing a great potential for the development of sensors needed in artificial intelligence. However, there are two key problems in the development of chip-based potentiometric sensors. One is to improve the response reproducibility of the electrodes in the sensors, and the other is to realize the self-calibration for the basic potential of sensing electrodes and then the direct obtaining of the target content information by potentiometric sensing in the on-site detection. Based on our previous research work, this project will develop the electrode array chip-based potentiometric sensors with self-calibration, and apply them to the fast on-site detection of multi-objects. We will synthesize a new type of integrated sensing materials, combining the recognition element and the transduction element, to achieve the simple and effective preparation of sensing chip and improve the response reproducibility of the electrodes. The self-calibration system will be established based on the sensing units to eliminate the uncertainty of the basic potential of sensing electrodes caused by the background of the solution, thus overcoming the difficulty of pre-calibration for the basic electrode potential in the sensing process. Taking environmental monitoring, analysis of food safety and self-diagnosis of diseases as application fields, the corresponding electrode array chip-based potentiometric sensors with self-calibration will be proposed with application value to solve the urgent problem related to the fast on-site detection of multi-objects in these fields, thus providing a new technology for the development of sensors required in artificial intelligence.