Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 745

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Electrostatic focusing of unlabelled DNA into nanoscale pores using a salt gradient

Open access
Wanunu, Meni, Morrison, Will, Rabin, Yitzhak, Grosberg, Alexander Y., Meller, Amit·2010·Nature Nanotechnology

Abstract

Solid-state nanopores are sensors capable of analyzing individual unlabelled DNA molecules in solution. While the critical information obtained from nanopores (e.g., DNA sequence) is the signal collected during DNA translocation, the throughput of the method is determined by the rate at which molecules arrive and thread into the pores. Here we study the process of DNA capture into nanofabricated silicon nitride pores of molecular dimensions. For fixed analyte concentrations we find an increase in capture rate as the DNA length increases from 800 to 8,000 basepairs, a length-independent capture rate for longer molecules, and increasing capture rates when ionic gradients are established across the pore. In addition, we show that application of a 20-fold salt gradient enables detection of picomolar DNA concentrations at high throughput. The salt gradients enhance the electric field, focusing more molecules into the pore, thereby advancing the possibility of analyzing unamplified DNA samples using nanopores.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nnano.2009.379

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 16 references

Cited by

See all 745

Metadata

Authors
Wanunu, M., Morrison, W., Rabin, Y., Grosberg, A. Y., & Meller, A.
Venue
Nature Nanotechnology
Published
2009-12-20
Volume
5
Issue
2
Pages
160-165
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2059648430
Cited by
745
References
16
FWCI
17.27
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Electrostatic focusing of unlabelled DNA into nanoscale pores using a salt gradient. https://app.cochat.ai/papers/10.1038/nnano.2009.379
The paper
Wanunu, M., Morrison, W., Rabin, Y., Grosberg, A. Y., & Meller, A. (2010). Electrostatic focusing of unlabelled DNA into nanoscale pores using a salt gradient. Nature Nanotechnology. https://doi.org/10.1038/nnano.2009.379

Data sources

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.