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Cited by 666

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Biosensors for Whole-Cell Bacterial Detection

Open access
Ahmed, Asif, Rushworth, Jo V., Hirst, Natalie A., Millner, Paul A.·2014·Clinical Microbiology Reviews

Abstract

SUMMARY: Bacterial pathogens are important targets for detection and identification in medicine, food safety, public health, and security. Bacterial infection is a common cause of morbidity and mortality worldwide. In spite of the availability of antibiotics, these infections are often misdiagnosed or there is an unacceptable delay in diagnosis. Current methods of bacterial detection rely upon laboratory-based techniques such as cell culture, microscopic analysis, and biochemical assays. These procedures are time-consuming and costly and require specialist equipment and trained users. Portable stand-alone biosensors can facilitate rapid detection and diagnosis at the point of care. Biosensors will be particularly useful where a clear diagnosis informs treatment, in critical illness (e.g., meningitis) or to prevent further disease spread (e.g., in case of food-borne pathogens or sexually transmitted diseases). Detection of bacteria is also becoming increasingly important in antibioterrorism measures (e.g., anthrax detection). In this review, we discuss recent progress in the use of biosensors for the detection of whole bacterial cells for sensitive and earlier identification of bacteria without the need for sample processing. There is a particular focus on electrochemical biosensors, especially impedance-based systems, as these present key advantages in terms of ease of miniaturization, lack of reagents, sensitivity, and low cost.

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Crossref · 10.1128/cmr.00120-13

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Metadata

Authors
Ahmed, A., Rushworth, J. V., Hirst, N. A., & Millner, P. A.
Venue
Clinical Microbiology Reviews
Published
2014-07
Volume
27
Issue
3
Pages
631-646
ISSN
  • 0893-8512 (ISSN-L)
  • 1098-6618
OpenAlex
W1983450564
Cited by
666
References
56
FWCI
17.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biosensors for Whole-Cell Bacterial Detection. https://app.cochat.ai/papers/10.1128/cmr.00120-13
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Ahmed, A., Rushworth, J. V., Hirst, N. A., & Millner, P. A. (2014). Biosensors for Whole-Cell Bacterial Detection. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00120-13

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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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