纳米孔道单分子电化学信号在线识别与分析研究

摘要

为实现纳米孔道单分子检测中对微弱电流信号的快速精准处理,考察了纳米孔道实验数据的信号特征,提出了基于双缓冲数据结构和有限冲击响应滤波的实时自适应阈值法,并基于这一算法设计了纳米孔道信号在线识别与分析系统,实现了实验数据实时采集存储和信号在线分析处理的同步进行.为验证所建立的纳米孔道信号在线识别和分析系统性能,采用噪音为20～100 pA和带宽区间为3～100 kHz的仿真信号进行信号识别分析.结果表明,本系统能够满足强噪声、低带宽、高采样率(250 kHz)环境下对实验数据处理的要求.将此系统应用于单个poly(dA)4分子的Aerolysin纳米孔道分析实验中,实验结果表明,本系统能够对大数据量的纳米孔道实验数据进行实时、快速、精准的分析处理.%To achieve fast and accurate analysis of weak current signal of nanopore-based single molecule detection, we designed a real-time adaptive threshold data processing algorithm with data buffering technique and finite impulse response filtering. The system, which is designed based on the data processing algorithm, could realize real-time recognition and analysis of nanopore events during the data recording process. In order to verify the performance of the system, the ideal signals with different noise level (20-100 pA) and recording bandwidth (3 - 100 kHz) was generated. The results showed that the system was stable to analyze the generated signals even at high noise. In addition, the system was also suitable for the data recording conditions of low bandwidth and high sampling rate (250 kHz). The proposed nanopore data processing system was further applied in the Aerolysin nanopore experiment for the detection of poly(dA) 4 molecules. The results showed that the data processing system could be applied in real nanopore recording system with high accuracy and speed.