分析物
鉴定(生物学)
计算机科学
钥匙(锁)
传感器阵列
人工智能
纳米技术
模式识别(心理学)
机器学习
材料科学
化学
计算机安全
植物
生物
物理化学
作者
Tian Li,Xueying Zhu,Xin Hai,Sai Bi,Xueji Zhang
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2023-02-27
卷期号:8 (3): 994-1016
被引量:87
标识
DOI:10.1021/acssensors.2c02596
摘要
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.
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