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Cited by 443

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Electronic detection of DNA by its intrinsic molecular charge

Open access
Fritz, Jürgen, Cooper, Emily B., Gaudet, Suzanne, Sorger, Peter K., Manalis, Scott R.·2002·Proceedings of the National Academy of Sciences

Abstract

We report the selective and real-time detection of label-free DNA using an electronic readout. Microfabricated silicon field-effect sensors were used to directly monitor the increase in surface charge when DNA hybridizes on the sensor surface. The electrostatic immobilization of probe DNA on a positively charged poly- l -lysine layer allows hybridization at low ionic strength where field-effect sensing is most sensitive. Nanomolar DNA concentrations can be detected within minutes, and a single base mismatch within 12-mer oligonucleotides can be distinguished by using a differential detection technique with two sensors in parallel. The sensors were fabricated by standard silicon microtechnology and show promise for future electronic DNA arrays and rapid characterization of nucleic acid samples. This approach demonstrates the most direct and simple translation of genetic information to microelectronics.

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Crossref · 10.1073/pnas.232276699

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Metadata

Authors
Fritz, J., Cooper, E. B., Gaudet, S., Sorger, P. K., & Manalis, S. R.
Venue
Proceedings of the National Academy of Sciences
Published
2002-10-17
Volume
99
Issue
22
Pages
14142-14146
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2031495754
Cited by
443
References
1
FWCI
6.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Electronic detection of DNA by its intrinsic molecular charge. https://app.cochat.ai/papers/10.1073/pnas.232276699
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Fritz, J., Cooper, E. B., Gaudet, S., Sorger, P. K., & Manalis, S. R. (2002). Electronic detection of DNA by its intrinsic molecular charge. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.232276699

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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.