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Cited by 220

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Biosensors for biomarkers in medical diagnostics

Mascini, M., Tombelli, S.·2008·Biomarkers

Abstract

At present, most biomarker testing is taking place at centralised dedicated laboratories using large, automated analysers, increasing waiting time and costs. Smaller, faster and cheaper devices are highly desired for replacing these time-consuming laboratory analyses and for making analytical results available at the patient's bedside (point-of-care diagnostics). Innovative biosensor-based strategies could allow biomarkers to be tested reliably in a decentralised setting, although several challenges and limitations remain, which need to be improved, in the design and application of biosensors for the appropriate interpretation of the identified and quantified biomarkers. The development of biosensors is probably one of the most promising ways to solve some of the problems concerning the increasing need to develop highly sensitive, fast and economic methods of analysis in medical diagnostics. In this review, some consideration will be given to biosensors and their application in medical diagnostics, taking into account several crucial features.

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Metadata

Authors
Mascini, M., & Tombelli, S.
Venue
Biomarkers
Published
2008-01
Volume
13
Issue
7-8
Pages
637-657
ISSN
  • 1354-750X (ISSN-L)
  • 1366-5804
OpenAlex
W2095954866
Cited by
220
References
4
FWCI
2.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biosensors for biomarkers in medical diagnostics. https://app.cochat.ai/papers/10.1080/13547500802645905
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Mascini, M., & Tombelli, S. (2008). Biosensors for biomarkers in medical diagnostics. Biomarkers. https://doi.org/10.1080/13547500802645905

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.