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Cited by 259

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Towards non- and minimally instrumented, microfluidics-based diagnostic devices

Open access
Weigl, Bernhard, Domingo, Gonzalo, LaBarre, Paul, Gerlach, Jay·2008·Lab on a Chip

Abstract

In many health care settings, it is uneconomical, impractical, or unaffordable to maintain and access a fully equipped diagnostics laboratory. Examples include home health care, developing-country health care, and emergency situations in which first responders are dealing with pandemics or biowarfare agent release. In those settings, fully disposable diagnostic devices that require no instrument support, reagent, or significant training are well suited. Although the only such technology to have found widespread adoption so far is the immunochromatographic rapid assay strip test, microfluidics holds promise to expand the range of assay technologies that can be performed in formats similar to that of a strip test. In this paper, we review progress toward development of disposable, low-cost, easy-to-use microfluidics-based diagnostics that require no instrument at all. We also present examples of microfluidic functional elements--including mixers, separators, and detectors--as well as complete microfluidic devices that function entirely without any moving parts and external power sources.

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Crossref · 10.1039/b811314a

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Metadata

Authors
Weigl, B., Domingo, G., LaBarre, P., & Gerlach, J.
Venue
Lab on a Chip
Published
2008
Volume
8
Issue
12
Pages
1999
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W1964597866
Cited by
259
References
36
FWCI
15.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Towards non- and minimally instrumented, microfluidics-based diagnostic devices. https://app.cochat.ai/papers/10.1039/b811314a
The paper
Weigl, B., Domingo, G., LaBarre, P., & Gerlach, J. (2008). Towards non- and minimally instrumented, microfluidics-based diagnostic devices. Lab on a Chip. https://doi.org/10.1039/b811314a

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.