基于2D-MOFs材料的CRISPR生物传感平台的构建及其在MC-LR检测与预警中的应用

藻类所产生的微囊藻毒素严重威胁着人类健康和环境安全，如何发展高性能的微囊藻毒素-LR（MC-LR）痕量检测方法是我国亟待解决的重要公共卫生问题。本项目针对现有MC-LR检测方法灵敏度低和选择性差等问题，拟结合CRISPR-Cas14a系统侧链裂解活性赋予的自我信号放大功能和功能化M-TCPP(Fe)/NPs优异的催化、光学、电化学性能，通过M-TCPP(Fe)/NPs将CRISPR-Cas14a对底物ssDNA切割信号转换为光学或电化学信号，构建系列基于2D-MOFs材料的新型CRISPR生物传感平台，从而实现对MC-LR的超灵敏检测。同时利用所建立的传感平台灵敏度高的优势，监测真实水环境中MC-LR含量变化，引入BP神经网络方法建立早期MC-LR污染预警系统。本项目的完成可为MC-LR的痕量检测提供技术支持，为预防藻毒素污染和水华发生提供科学依据，同时也为其他毒素的监测与预警提供新思路。

Microcystins (MCs), a group of biologically active compound produced and released by cyanobacteria, poses a tremendous threat to to human health and and environmental safety. Better performance of analytical methods for trace detection of microcystin-LR (MC-LR) are urgently necessary to protect environmental safety and ensure public health. Reported sensors for MC-LR determination showed disadvantages in low sensitivity and poor selectivity. Thus, our research aims to develop a series of novel sensing platforms for detection of MC-LR based on CRISPR-Cas14a technology and M-TCPP(Fe)/NPs. In these newly designed sensors, the CRISPR-Cas14a is used to generate signal while the M-TCPP(Fe)/NPs are used to convert that signal into optical or electrochemical signal, which combine dual advantages of CRISPR-Cas14a of signal amplification by trans-cleavage activity and M-TCPP(Fe)/NPs of excellent catalytic, optical as well as electrochemical properties. In addition, the BP neural network is introduced to establish MC-LR early pollution warning system on the basis of the MC-LR concentration changes in the real water environment monitored by these established biosensors. This project will provide technical support for trace detection of MC-LR and a scientific basis for the prevention of cyanobacteria bloom, and also has great potential in monitoring and early warning of other toxins.