Citation: WANG Hui-Feng, HUANG Fei, GU Zhen, HU Zheng-Li, YING Yi-Lun, YAN Bing-Yong, LONG Yi-Tao. Real-time Event Recognition and Analysis System for Nanopore Study[J]. Chinese Journal of Analytical Chemistry, ;2018, 46(6): 843-850. doi: 10.11895/j.issn.0253-3820.171476 shu

Real-time Event Recognition and Analysis System for Nanopore Study

1.
School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;
2.
Key Laboratory for Advanced Materials & Department of Chemistry, East China University of Science and Technology, Shanghai 200237, China

Received Date: 4 December 2017
Revised Date: 27 December 2017

Fund Project: 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).

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