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Separation of Long DNA Molecules in a Microfabricated Entropic Trap Array
Abstract
A nanofluidic channel device, consisting of many entropic traps, was designed and fabricated for the separation of long DNA molecules. The channel comprises narrow constrictions and wider regions that cause size-dependent trapping of DNA at the onset of a constriction. This process creates electrophoretic mobility differences, thus enabling efficient separation without the use of a gel matrix or pulsed electric fields. Samples of long DNA molecules (5000 to ∼160,000 base pairs) were efficiently separated into bands in 15-millimeter-long channels. Multiple-channel devices operating in parallel were demonstrated. The efficiency, compactness, and ease of fabrication of the device suggest the possibility of more practical integrated DNA analysis systems.
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Cited by
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Kim, S. J., Wang, Y.-C., Lee, J. H., Jang, H., & Han, J. (2007) · Physical Review Letters · doi:10.1103/physrevlett.99.044501 · Cited by 555
Self-citationSingle-nucleotide discrimination in immobilized DNA oligonucleotides with a biological nanopore
Stoddart, D., Heron, A. J., Mikhailova, E., Maglia, G., & Bayley, H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901054106 · Cited by 482
The interplay between apparent viscosity and wettability in nanoconfined water
Ortiz-Young, D., Chiu, H.-C., Kim, S., Voïtchovsky, K., & Riedo, E. (2013) · Nature Communications · doi:10.1038/ncomms3482 · Cited by 293
Microfluidic systems in proteomics
Lion, N., Rohner, T. C., Dayon, L., Arnaud, I. L., Damoc, E., Youhnovski, N., Wu, Z., Roussel, C., Josserand, J., Jensen, H., et al. (2003) · ELECTROPHORESIS · doi:10.1002/elps.200305629 · Cited by 262
Metadata
- Authors
- Han, J., & Craighead, H. G.
- Venue
- Science
- Published
- 2000-05-12
- Volume
- 288
- Issue
- 5468
- Pages
- 1026-1029
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2112907243
- Cited by
- 924
- References
- 0
- FWCI
- 29.98
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
