College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China.
School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, Guangdong 518060, P. R. China.
ACS Sens. 2023 Mar 24;8(3):994-1016. doi: 10.1021/acssensors.2c02596. Epub 2023 Feb 27.
The traditional sensors are designed based on the "lock-and-key" strategy with high selectivity and specificity for detecting specific analytes, which however are not suitable for detecting multiple analytes simultaneously. With the help of pattern recognition technologies, the sensor arrays excel in distinguishing subtle changes caused by multitarget analytes with similar structures in a complex system. To construct a sensor array, the multiple sensing elements are undoubtedly indispensable units that will selectively interact with targets to generate the unique "fingerprints" based on the distinct responses, enabling the identification among various analytes through pattern recognition methods. This comprehensive review mainly focuses on the construction strategies and principles of sensing elements, as well as the applications of sensor array for identification and detection of target analytes in a wide range of fields. Furthermore, the present challenges and further perspectives of sensor arrays are discussed in detail.
传统传感器基于“锁钥”策略设计，具有高选择性和特异性，可用于检测特定分析物，但不适合同时检测多种分析物。借助模式识别技术，传感器阵列在区分复杂系统中具有相似结构的多目标分析物引起的细微变化方面表现出色。为了构建传感器阵列，多个传感元件无疑是必不可少的单元，它们将选择性地与目标相互作用，根据不同的响应产生独特的“指纹”，从而通过模式识别方法识别各种分析物。这篇综述主要集中于传感元件的构建策略和原理，以及传感器阵列在广泛领域中用于识别和检测目标分析物的应用。此外，还详细讨论了传感器阵列目前面临的挑战和未来展望。
