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Cited by 561

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

Lab-on-chip technologies: making a microfluidic network and coupling it into a complete microsystem—a review

Open access
Abgrall, P, Gué, A-M·2007·Journal of Micromechanics and Microengineering

Abstract

Microfluidics is an emerging field that has given rise to a large number of scientific and technological developments over the last few years. This review reports on the use of various materials, such as silicon, glass and polymers, and their related technologies for the manufacturing of simple microchannels and complex systems. It also presents the main application fields concerned with the different technologies and the most significant results reported by academic and industrial teams. Finally, it demonstrates the advantage of developing approaches for associating polymer technologies for manufacturing of fluidic elements with integration of active or sensitive elements, particularly silicon devices.

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Registry

Crossref · 10.1088/0960-1317/17/5/r01

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Metadata

Authors
Abgrall, P., & Gué, A.-M.
Venue
Journal of Micromechanics and Microengineering
Published
2007-04-24
Volume
17
Issue
5
Pages
R15-R49
ISSN
  • 0960-1317 (ISSN-L)
  • 1361-6439
OpenAlex
W2060921962
Cited by
561
References
84
FWCI
18.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Lab-on-chip technologies: making a microfluidic network and coupling it into a complete microsystem—a review. https://app.cochat.ai/papers/10.1088/0960-1317/17/5/r01
The paper
Abgrall, P., & Gué, A.-M. (2007). Lab-on-chip technologies: making a microfluidic network and coupling it into a complete microsystem—a review. Journal of Micromechanics and Microengineering. https://doi.org/10.1088/0960-1317/17/5/r01

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.