Related Experiment Video
Updated: May 25, 2026

08:47
Characterizing Single-Molecule Conformational Changes Under Shear Flow with Fluorescence Microscopy
Published on: January 25, 2020
Hydrodynamic shearing of DNA in a polymeric microfluidic device
Irina V Nesterova1, Mateusz L Hupert, Malgorzata A Witek
1Department of Chemistry, Louisiana State University, Baton Rouge, LA 70820, USA.
Lab on a Chip
|February 9, 2012
Summary
Developing controlled DNA shearing is vital for next-generation sequencing (NGS). A new polymer microfluidic device offers an efficient, inexpensive platform for DNA fragment preparation, matching commercial system performance.
Area of Science:
- Biotechnology
- Genomics
- Microfluidics
Background:
- Next-generation sequencing (NGS) requires DNA fragments of manageable lengths (~1000 bp).
- Controlled DNA shearing is critical for preparing samples for high-throughput sequencing.
- Existing bench-top systems can be expensive and may not be universally accessible.
Purpose of the Study:
- To develop a novel, cost-effective microfluidic device for controlled DNA shearing.
- To establish an efficient platform for DNA fragment preparation for NGS applications.
- To compare the performance of the microfluidic device against a commercial system.
Main Methods:
- Fabrication of a polymer-based microfluidic device.
- Utilizing microfluidic channels to shear chromosomal DNA.
- Evaluating the efficiency and fragment size distribution of the sheared DNA.
- Comparing results with a commercially available DNA shearing system.
Main Results:
- The polymer microfluidic device successfully sheared DNA into manageable fragments.
- The device demonstrated performance comparable to a commercial bench-top shearing system.
- The platform proved to be efficient and inexpensive to produce.
Conclusions:
- A polymer-based microfluidic device provides an effective solution for controlled DNA shearing.
- This technology offers a cost-efficient and accessible alternative for NGS sample preparation.
- Microfluidic approaches hold significant potential for advancing genomic workflows.

