Aggregation-induced responses (AIR) of 2D-derived layered nanostructures enable emerging colorimetric and fluorescence sensors.
Aggregation-induced responses (AIR) of 2D-derived layered nanostructures enable emerging colorimetric and fluorescence sensors.
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二维衍生的层状纳米结构的聚集诱导响应（AIR）使新兴的比色和荧光传感器成为可能。
DOI：
10.1039/d0an01522a
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发表时间：
2020-10
期刊：
影响因子：
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通讯作者：
L. Qin;H. Zhang;Wei Gong;H. Luo;N. Li;Bang Lin Li
中科院分区：
文献类型：
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作者：
L. Qin;H. Zhang;Wei Gong;H. Luo;N. Li;Bang Lin Li
层状纳米结构包括二维纳米薄片、纳米薄片和平面纳米点，具有大的比表面积比、独特的光学性质和理想的界面活性。由于具有许多优点，例如信号放大、增强的识别能力和抗干扰性，作为新兴传感应用的替代探针和平台，LNS具有很高的前景。值得注意的是，当刺激响应性聚集发生时，修饰的LNS显示出工程化的形态、诱人的光学吸收和荧光特性，这些特性是非常可编程的。基于LNS的聚集行为及其调制的物理和化学特性的改变，报道了一系列新型的传感分析方法，它们具有更高的灵敏度、操作简单、多功能和更强的抗干扰性，有助于护理点测试和高通量测量。本文从材料的分类和聚集路径的变化两个方面对聚集诱导的响应传感策略进行了全面的综述，旨在了解纳米尺度生物传感器的维度相关特性，拓展纳米生物传感器的应用，解决疾病诊断和环境分析中的关键问题。
Layered nanostructures (LNs), including two-dimensional nanosheets, nanoflakes, and planar nanodots, show large surface-to-volume ratios, unique optical properties, and desired interfacial activities. LNs are highly promising as alternative probes and platforms due to numerous merits, e.g. signal amplification, improved recognition ability, and anti-interference capacity, for emerging sensing applications. Significantly, when stimuli-responsive aggregation occurs, the modified LNs show engineered morphologies, attractive optical absorption and fluorescence characteristics, which are remarkably programmable. On the basis of the altered aggregation behaviours of LNs, as well as their modulated physical and chemical characteristics, a series of novel sensing assays exhibiting enhanced sensitivity, simple operation, multiple functions, and improved anti-interference capacity are reported, contributing to both point-of-care testing and high-throughput measurements. Herein, the aggregation-induced response sensing strategies of LNs are comprehensively summarized with the classification of materials and variation of aggregated routes aiming at understanding dimension-dependent features, expanding nanoscale biosensor applications, and addressing key issues in disease diagnosis and environmental analysis.