A Universal Approximation for Conductance Blockade in Thin Nanopore Membranes

Area of Science:

• Biophysics
• Nanotechnology
• Physical Chemistry

Background:

• Nanopore sensing relies on conductance measurements for single-molecule detection.
• Current models are inaccurate for thin, tightly fitting nanopores, particularly regarding access resistance.
• Accurate modeling of access resistance is crucial for advancing nanopore technology.

Purpose of the Study:

• To comprehensively investigate access resistance and conductance blockade in thin nanopore membranes.
• To develop a unified theoretical modeling framework for nanopore conductance.
• To improve the accuracy and applicability of nanopore sensing models.

Main Methods:

• Combined first-principles calculations, multiscale modeling, and experimental validation.
• Developed an analytical model for nanopore access resistance and conductance blockade.
• Investigated the behavior across a broad range of experimental parameters.

Main Results:

• Proposed a unified theoretical modeling framework that surpasses existing approaches.
• The new model accurately predicts conductance blockade in thin nanopore membranes.
• Demonstrated the framework's ability to infer analyte size and predict conductance behavior.

Conclusions:

• The developed theoretical framework significantly advances the understanding of nanopore conductance.
• This work provides a more accurate and versatile tool for analyzing nanopore experiments.
• The findings will aid in optimizing nanopore devices for applications like DNA sequencing and data storage.