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Related Experiment Video

Updated: May 14, 2026

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements

Published on: December 2, 2022

Node-pore sensing: a robust, high-dynamic range method for detecting biological species.

Karthik R Balakrishnan¹, George Anwar, Matthew R Chapman

¹Department of Mechanical Engineering, University of California at Berkeley, Berkeley, CA 94720-1740, USA.

|February 7, 2013

Summary

This summary is machine-generated.

This study introduces a novel pore for resistive-pulse sensing (RPS), significantly expanding the dynamic detection range for particles from nanometers to microns. This breakthrough enables direct detection of viruses like HIV in plasma without pre-sorting.

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Area of Science:

Biophysics
Nanotechnology
Analytical Chemistry

Background:

Resistive-pulse sensing (RPS) is versatile for particle analysis but faces dynamic range limitations.
Small particles are often missed in heterogeneous samples due to low signal-to-noise ratios (SNRs) and pore size constraints.

Purpose of the Study:

To develop a novel pore geometry overcoming the dynamic range limitations of traditional RPS.
To enable detection of a wide range of particle sizes, from nanometers to microns, without pre-processing.

Main Methods:

Design and fabrication of a unique pore with inserted nodes.
Utilizing distinct electronic signatures generated by the novel pore geometry.
Directly applying the technology to detect and enumerate human immunodeficiency virus (HIV) in human plasma.

Main Results:

Achieved an unprecedented dynamic detection range (tens of nanometers to several microns).
Distinct electronic signatures from the novel pore geometry effectively overcome low SNRs.
Successfully demonstrated direct detection and enumeration of HIV in human plasma.

Conclusions:

The novel node-inserted pore design fundamentally enhances RPS capabilities.
This technology offers a powerful tool for analyzing heterogeneous samples and detecting viruses like HIV.
Eliminates the need for pre-sorting or filtration, simplifying particle analysis.