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Cited by 339

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A magneto-DNA nanoparticle system for rapid detection and phenotyping of bacteria

Open access
Chung, Hyun Jung, Castro, Cesar M., Im, Hyungsoon, Lee, Hakho, Weissleder, Ralph·2013·Nature Nanotechnology

Abstract

To date, while various diagnostic approaches for pathogen detection have been proposed, most are too expensive, lengthy or limited in specificity for clinical use. Nanoparticle systems with unique material properties, however, circumvent these problems and offer improved accuracy over current methods. Herein, we present novel magneto-DNA probes capable of rapid and specific profiling of pathogens directly in clinical samples. A nanoparticle hybridisation assay, involving ubiquitous and specific probes that target bacterial 16S rRNAs, was designed to detect amplified target DNAs using a miniaturised nuclear magnetic resonance device. Ultimately, the magneto-DNA platform allowed both universal and specific detection of various clinically relevant bacterial species, with sensitivity down to single bacteria. Furthermore, the assay was robust and rapid, simultaneously diagnosing a panel of 13 bacterial species in clinical specimens within 2 hours. The generic platform described could be used to rapidly identify and phenotype pathogens for a variety of applications.

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Crossref · 10.1038/nnano.2013.70

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Metadata

Authors
Chung, H. J., Castro, C. M., Im, H., Lee, H., & Weissleder, R.
Venue
Nature Nanotechnology
Published
2013-05
Volume
8
Issue
5
Pages
369-375
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2006101840
Cited by
339
References
2
FWCI
23.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A magneto-DNA nanoparticle system for rapid detection and phenotyping of bacteria. https://app.cochat.ai/papers/10.1038/nnano.2013.70
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Chung, H. J., Castro, C. M., Im, H., Lee, H., & Weissleder, R. (2013). A magneto-DNA nanoparticle system for rapid detection and phenotyping of bacteria. Nature Nanotechnology. https://doi.org/10.1038/nnano.2013.70

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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.