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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Advances in microfluidic PCR for point-of-care infectious disease diagnostics

Open access
Park, Seungkyung, Zhang, Yi, Lin, Shin, Wang, Tza-Huei, Yang, Samuel·2011·Biotechnology Advances

Abstract

Global burdens from existing or emerging infectious diseases emphasize the need for point-of-care (POC) diagnostics to enhance timely recognition and intervention. Molecular approaches based on PCR methods have made significant inroads by improving detection time and accuracy but are still largely hampered by resource-intensive processing in centralized laboratories, thereby precluding their routine bedside- or field-use. Microfluidic technologies have enabled miniaturization of PCR processes onto a chip device with potential benefits including speed, cost, portability, throughput, and automation. In this review, we provide an overview of recent advances in microfluidic PCR technologies and discuss practical issues and perspectives related to implementing them into infectious disease diagnostics.

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Crossref · 10.1016/j.biotechadv.2011.06.017

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Metadata

Authors
Park, S., Zhang, Y., Lin, S., Wang, T.-H., & Yang, S.
Venue
Biotechnology Advances
Publisher
Elsevier BV
Published
2011-11
Volume
29
Issue
6
Pages
830-839
ISSN
0734-9750 (ISSN-L)
OpenAlex
W2053185702
Cited by
299
References
5
FWCI
13.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Advances in microfluidic PCR for point-of-care infectious disease diagnostics. https://app.cochat.ai/papers/10.1016/j.biotechadv.2011.06.017
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Park, S., Zhang, Y., Lin, S., Wang, T.-H., & Yang, S. (2011). Advances in microfluidic PCR for point-of-care infectious disease diagnostics. Biotechnology Advances. https://doi.org/10.1016/j.biotechadv.2011.06.017

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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.