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SCIENCE CHINA Chemistry, Volume 61, Issue 12: 1483-1485(2018) https://doi.org/10.1007/s11426-018-9312-3

Nanopore sensing system for high-throughput single molecular analysis

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  • ReceivedApr 8, 2018
  • AcceptedJun 19, 2018
  • PublishedSep 4, 2018

Abstract

There is no abstract available for this article.


Funded by

the National Natural Science Foundation of China(21327807,21421004)

the “Chen Guang” project from Shanghai Municipal Education Commission and Shanghai Education Development Foundation(7CG27)

Innovation Program of Shanghai Municipal Education Commission(2017-01-07-00-02-E00023)

the Fundamental Research Funds for the Central Universities(222201718001,222201717003)


Acknowledgment

This work was supported by the National Natural Science Foundation of China (21327807, 21421004), the “Chen Guang” project from Shanghai Municipal Education Commission and Shanghai Education Development Foundation (7CG27), Innovation Program of Shanghai Municipal Education Commission (2017-01-07-00-02-E00023) and the Fundamental Research Funds for the Central Universities (222201718001, 222201717003).


Interest statement

The authors declare that they have no conflict of interest.


References

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  • Figure 1

    Nanopore instrument and the recorded signal. (a) The ionic current is converted by a trans-impedance amplifier (TIA); a differential amplifier (Diff) deducts the applied voltage from the signal; low pass filter (LPF) is used to denoise the signal before sampling by analog to digital converter (ADC); the applied voltage is controlled by the digital to analog converter (DAC); the digital circuit controls the ADC and DAC as well as communicates with the computer. (b) Raw data recorded in nanopore sensing, which consists of open pore baseline, noise, and the blockage events. (c) Distorted signal due to the limited bandwidth (color online).

  • Figure 2

    Data analysis of blockage events. (a) Brief process for Nanopore Analysis software package. (b) High throughput data analysis based on the process. (c) Unfiltered events analyzed by the MHMM. (d) Multi-level events recognized by the DBSCAN algorithm (color online).

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