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Related Experiment Videos

Voltage-driven DNA translocations through a nanopore.

A Meller1, L Nivon, D Branton

  • 1The Rowland Institute for Science, Cambridge, MA 02142, USA.

Physical Review Letters
|May 1, 2001
PubMed
Summary
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We measured DNA polymer translocation through a nanopore, finding shorter polymers move faster. This velocity depends non-linearly on the applied electric field, impacting diffusion and energy penalty estimations.

Area of Science:

  • Nanopore sensing
  • Biophysics
  • Polymer physics

Background:

  • Single-stranded DNA (ssDNA) translocation through nanopores is a key process in DNA sequencing and analysis.
  • Understanding polymer dynamics within confined geometries like nanopores is crucial for developing advanced biosensing technologies.

Purpose of the Study:

  • To investigate the translocation dynamics of single-stranded DNA polymers through a single alpha-hemolysin pore.
  • To determine the velocity of polymers within the pore and its dependence on polymer length and applied electric field.
  • To estimate the effective diffusion coefficient and energy penalty associated with polymer extension into the pore.

Main Methods:

  • Measuring ionic current blockade and translocation time distributions for ssDNA polymers.

Related Experiment Videos

  • Utilizing voltage-driven translocations through a single alpha-hemolysin pore.
  • Analyzing translocation data to extract polymer velocity, diffusion coefficients, and energy penalties.
  • Main Results:

    • Polymer velocity within the pore is dependent on polymer length and applied electric field.
    • Longer polymers (> pore length) translocate at a constant velocity.
    • Shorter polymers exhibit increased velocity with decreasing length, showing a non-linear relationship with the applied field.

    Conclusions:

    • The translocation velocity of ssDNA polymers is length-dependent and non-linearly related to the applied electric field.
    • These findings provide insights into the forces governing polymer dynamics in nanopores.
    • The study estimates effective diffusion coefficients and energy penalties, crucial for nanopore-based applications.