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Manipulation and flow of biological fluids in straight channels micromachined in silicon

Wilding, P, Pfahler, J, Bau, H H, Zemel, J N, Kricka, L J·1994·Clinical Chemistry

Abstract

Analysis of minute sample volumes is a major analytical challenge that requires an understanding of fluid flow in microstructures. Accordingly, flow dynamics of biological fluids and cell suspensions in straight glass-capped silicon microchannels (40 to 150 microns wide, 20 and 40 microns deep) were studied. We demonstrated that these microstructures are appropriate components for microfluidic analytical devices. Different fluids were easily manipulated in the microchannels, and measurements of flow rate as a function of pressure for whole human blood, serum, plasma, and cell suspensions revealed non-Newtonian behavior. By means of micromachined filters (5 microns) located in channels, blood cells and microparticles were effectively separated from nanoliter-sized samples, clearly indicating the future role of microstructures for a variety of analytical purposes.

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Crossref · 10.1093/clinchem/40.1.43

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Metadata

Authors
Wilding, P., Pfahler, J., Bau, H. H., Zemel, J. N., & Kricka, L. J.
Venue
Clinical Chemistry
Published
1994-01-01
Volume
40
Issue
1
Pages
43-47
ISSN
  • 0009-9147 (ISSN-L)
  • 1530-8561
OpenAlex
W1947237194
Cited by
176
References
0
FWCI
5.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Manipulation and flow of biological fluids in straight channels micromachined in silicon. https://app.cochat.ai/papers/10.1093/clinchem/40.1.43
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Wilding, P., Pfahler, J., Bau, H. H., Zemel, J. N., & Kricka, L. J. (1994). Manipulation and flow of biological fluids in straight channels micromachined in silicon. Clinical Chemistry. https://doi.org/10.1093/clinchem/40.1.43

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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.