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Cited by 301

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Direct measurement of electrical transport through single DNA molecules of complex sequence

Open access
Cohen, Hezy, Nogues, Claude, Naaman, Ron, Porath, Danny·2005·Proceedings of the National Academy of Sciences

Abstract

Seemingly contradicting results raised a debate over the ability of DNA to transport charge and the nature of the conduction mechanisms through it. We developed an experimental approach for measuring current through DNA molecules, chemically connected on both ends to a metal substrate and to a gold nanoparticle, by using a conductive atomic force microscope. Many samples could be made because of the experimental approach adopted here, which enabled us to obtain reproducible results with various samples, conditions, and measurement methods. We present multileveled evidence for charge transport through 26-bp-long dsDNA of a complex sequence, characterized by S-shaped current–voltage curves that show currents >220 nA at 2 V. This significant observation implies that a coherent or band transport mechanism takes over for bias potentials leading to high currents (>1 nA).

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Registry

Crossref · 10.1073/pnas.0505272102

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Metadata

Authors
Cohen, H., Nogues, C., Naaman, R., & Porath, D.
Venue
Proceedings of the National Academy of Sciences
Published
2005-08-08
Volume
102
Issue
33
Pages
11589-11593
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2094277399
Cited by
301
References
14
FWCI
24.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Direct measurement of electrical transport through single DNA molecules of complex sequence. https://app.cochat.ai/papers/10.1073/pnas.0505272102
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Cohen, H., Nogues, C., Naaman, R., & Porath, D. (2005). Direct measurement of electrical transport through single DNA molecules of complex sequence. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0505272102

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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.