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Updated: Mar 29, 2026

09:43
Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores
Published on: October 31, 2013
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A biophysicist's guide to translocation of double-stranded nucleic acids through solid-state nanopores
Simon Brauburger1, Ulrich F Keyser1
1University of Cambridge, Cavendish Laboratory, JJ Thomson Ave, Cambridge, CB3 0US, United Kingdom.
Physics of Life Reviews
|March 27, 2026
Summary
Solid-state nanopore (SSNP) sensing analyzes double-stranded DNA and RNA. This review details how operational parameters influence nucleic acid translocation through SSNPs, offering optimization guidance.
Area of Science:
- Nanotechnology
- Biophysics
- Analytical Chemistry
Background:
- Biosensing with solid-state nanopores (SSNPs) offers a versatile method for analyzing double-stranded DNA, RNA, and hybrids.
- This complements biological nanopores used for single-stranded nucleic acids and proteins.
Purpose of the Study:
- To systematically review how operational parameters affect double-stranded nucleic acid translocation through SSNPs.
- To dissect the physical mechanisms governing these dependencies.
- To provide a practical guide for optimizing and interpreting SSNP experiments.
Main Methods:
- Systematic review of experimental findings on SSNP translocation.
- Analysis of key performance metrics: resolution (translocation time, signal-to-noise ratio) and throughput (event frequency, unfolded fraction).
- Dissection of physical mechanisms: electrophoretic driving, hydrodynamic friction, electro-osmotic flow, and entropic effects.
Main Results:
- Operational parameters like bias voltage, pore geometry, and buffer properties significantly impact double-stranded nucleic acid translocation.
- Understanding these parameters is crucial for optimizing resolution and throughput in SSNP sensing.
- Physical models integrated with experimental data explain translocation dependencies.
Conclusions:
- SSNP biosensing is a powerful technique for double-stranded nucleic acid analysis.
- Optimizing operational parameters and understanding underlying physics are key to maximizing SSNP performance.
- The discussed concepts are transferable to other SSNP targets and nanoscale transport applications.

