Key Laboratory of Applied Surface and Colloid Chemistry of Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710062, PR China.
Analyst. 2018 Aug 6;143(16):3775-3788. doi: 10.1039/c8an00235e.
Discriminative optical sensors with pattern recognition properties and high-throughput ability have been widely developed as they can distinguish multiple chemically similar analytes. Compared to traditional sensor arrays composed of a series of sensor elements, single-system based discriminative sensors using an array of optical changes at different wavelengths to provide input signals have drawn intensive attention recently. On the one hand, they can provide discrimination ability that is lack in using selective sensors; on the other hand, they can simplify the complex data acquisition process accompanied by multiple-element-based sensor arrays and reduce consumption of sensor samples. This tutorial review gives an overview of the development of single-system based discriminative optical sensors. Different strategies for the construction of single-system based discriminative sensors including dynamic combinatorial libraries, cross-reactive conjugated polymers, DNA G-quadruplex ensembles, combinatorial fluorescent molecular sensors, and fluorophore/surfactant aggregate ensembles are particularly introduced.
具有模式识别性能和高通量能力的判别光学传感器得到了广泛的发展，因为它们可以区分多种化学相似的分析物。与由一系列传感器元件组成的传统传感器阵列相比，最近人们对基于单个系统的判别传感器越来越关注，该传感器使用不同波长的一系列光学变化来提供输入信号。一方面，它们可以提供使用选择性传感器所缺乏的判别能力；另一方面，它们可以简化伴随多元件传感器阵列的复杂数据采集过程，并减少传感器样品的消耗。本综述介绍了基于单个系统的判别光学传感器的发展。特别介绍了构建基于单个系统的判别传感器的不同策略，包括动态组合库、交叉反应性共轭聚合物、DNA G-四链体集合、组合荧光分子传感器和荧光团/表面活性剂聚集体集合。
