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纳米孔道单分子电化学信号在线识别与分析研究

王慧锋 黄飞 顾震 胡正利 应佚伦 颜秉勇 龙亿涛

分析化学2018,Vol.46Issue(6):843-850,8.
分析化学2018,Vol.46Issue(6):843-850,8.DOI:10.11895/j.issn.0253-3820.171476

纳米孔道单分子电化学信号在线识别与分析研究

Real-time Event Recognition and Analysis System for Nanopore Study

王慧锋 1黄飞 1顾震 2胡正利 2应佚伦 2颜秉勇 1龙亿涛2

作者信息

  • 1. 华东理工大学信息科学与工程学院, 上海 200237
  • 2. 华东理工大学化学与分子工程学院,结构可控先进功能材料及其制备重点实验室, 上海 200237
  • 折叠

摘要

Abstract

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.

关键词

纳米孔道/实时采集存储/在线分析处理/双缓冲区/自适应阈值法

Key words

Nanopore/Data acquisition and storage/Real-time data analysis and processing/Data buffering/Adaptive threshold algorithm

引用本文复制引用

王慧锋,黄飞,顾震,胡正利,应佚伦,颜秉勇,龙亿涛..纳米孔道单分子电化学信号在线识别与分析研究[J].分析化学,2018,46(6):843-850,8.

基金项目

本文系国家自然科学基金(Nos. 21327807, 21421004)、上海市优秀学科带头人计划(No. 15XD1501200) 和中央高校基本科研业务费专项资金(Nos. 222201718001, 222201717003)资助项目 This work was supported by the National Natural Science Foundation of China (Nos. 21327807, 21421004), the Program of Shanghai Subject Chief Scientist (No. 15XD1501200) and the Fundamental Research Funds for the Central Universities (Nos. 222201718001, 222201717003). (Nos. 21327807, 21421004)

分析化学

OA北大核心CSCDCSTPCD

0253-3820

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