The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Fast DNA Translocation through a Solid-State Nanopore
Open accessAbstract
We report experiments and modeling of translocation of double-strand DNA through a siliconoxide nanopore. Long DNA molecules with different lengths ranging from 6500 to 97000 base pairs have been electrophoretically driven through a 10 nm pore. We observe a power-law caling of the translocation time with the length, with an exponent of 1.27. This nonlinear scaling is strikingly different from the well-studied linear behavior observed in similar experiments performed on protein pores. We present a theoretical model where hydrodynamic drag on the ection of the polymer outside the pore is the dominant force counteracting the electrical driving force. We show that this applies to our experiments, and we derive a power-law scaling with an exponent of 1.22, in good agreement with the data.
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Cites
The Theory of Polymer Dynamics
Marrucci, G. (1987) · Journal of Non-Newtonian Fluid Mechanics · doi:10.1016/0377-0257(87)85036-x · Cited by 9,749
The theory of polymer dynamics
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Characterization of individual polynucleotide molecules using a membrane channel
Kasianowicz, J. J., Brandin, E., Branton, D., & Deamer, D. W. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13770 · Cited by 3,362
Ion-beam sculpting at nanometre length scales
Li, J., Stein, D., McMullan, C., Branton, D., Aziz, M. J., & Golovchenko, J. A. (2001) · Nature · doi:10.1038/35084037 · Cited by 1,677
Fabrication of solid-state nanopores with single-nanometre precision
Storm, A. J., Chen, J. H., Ling, X. S., Zandbergen, H. W., & Dekker, C. (2003) · Nature Materials · doi:10.1038/nmat941 · Cited by 1,364
Self-citationCritical Exponents for the n -Vector Model in Three Dimensions from Field Theory
Guillou, J. C. L., & Zinn‐Justin, J. (1977) · Physical Review Letters · doi:10.1103/physrevlett.39.95 · Cited by 1,224
Rapid nanopore discrimination between single polynucleotide molecules
Meller, A., Nivon, L., Brandin, E., Golovchenko, J., & Branton, D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.3.1079 · Cited by 937
DNA molecules and configurations in a solid-state nanopore microscope
Li, J., Gershow, M., Stein, D., Brandin, E., & Golovchenko, J. A. (2003) · Nature Materials · doi:10.1038/nmat965 · Cited by 936
Voltage-Driven DNA Translocations through a Nanopore
Meller, A., Nivon, L., & Branton, D. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.3435 · Cited by 889
Characterization of Nucleic Acids by Nanopore Analysis
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2D materials as an emerging platform for nanopore-based power generation
Macha, M., Marion, S., Nandigana, V. V. R., & Radenovic, A. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0126-z · Cited by 426
Rapid Sequencing of Individual DNA Molecules in Graphene Nanogaps
Postma, H. W. C. (2010) · Nano Letters · doi:10.1021/nl9029237 · Cited by 375
Advanced sequencing technologies and their wider impact in microbiology
Hall, N. (2007) · Journal of Experimental Biology · doi:10.1242/jeb.001370 · Cited by 373
Noise analysis and reduction in solid-state nanopores
Tabard-Cossa, V., Trivedi, D., Wiggin, M., Jetha, N. N., & Marziali, A. (2007) · Nanotechnology · doi:10.1088/0957-4484/18/30/305505 · Cited by 306
Electrokinetic particle translocation through a nanopore
Ai, Y., & Qian, S. (2011) · Physical Chemistry Chemical Physics · doi:10.1039/c0cp02267e · Cited by 86
Metadata
- Authors
- Storm, A. J., Storm, C., Chen, J., Zandbergen, H., Joanny, J.-F., & Dekker, C.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-02-10
- Volume
- 5
- Issue
- 7
- Pages
- 1193-1197
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2156629890
- Cited by
- 733
- References
- 17
- FWCI
- 30.12
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.