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Cited by 375

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Graphene-based biosensors for detection of bacteria and their metabolic activities

Open access
Huang, Yinxi, Dong, Xiaochen, Liu, Yuxin, Li, Lain-Jong, Chen, Peng·2011·Journal of Materials Chemistry

Abstract

Graphene, which is a recently discovered single-atom-thick planar sheet of carbon atoms perfectly arranged in a honeycomb lattice, has great potential in biosensing owing to its extraordinary electrical, physical, and optical properties. In this work, we demonstrate a graphene based biosensor to electrically detect E. coli bacteria with high sensitivity and specificity. The large-sized graphene film was grown by chemical vapor deposition and functionalized with anti-E. coliantibodies and passivation layer. Significant conductance increase of the graphene device was observed after exposure to E. coli bacteria at a concentration as low as 10 cfu/mL, while no significant response was triggered by high concentration of the another bacterial strain. In addition, this biosensor was employed to detect the glucose induced metabolic activities of the bound E. coli bacteria in real time. This simple, fast, sensitive, and label-free nanoelectronic biosensor, in principle, could serve as a high throughput platform for detection of any pathogenic bacteria, and for functional studies or screening of antibacterial drugs.

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Metadata

Authors
Huang, Y., Dong, X., Liu, Y., Li, L.-J., & Chen, P.
Venue
Journal of Materials Chemistry
Published
2011
Volume
21
Issue
33
Pages
12358
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2094971181
Cited by
375
References
38
FWCI
18.27
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Graphene-based biosensors for detection of bacteria and their metabolic activities. https://app.cochat.ai/papers/10.1039/c1jm11436k
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Huang, Y., Dong, X., Liu, Y., Li, L.-J., & Chen, P. (2011). Graphene-based biosensors for detection of bacteria and their metabolic activities. Journal of Materials Chemistry. https://doi.org/10.1039/c1jm11436k

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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