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Micromachining a Miniaturized Capillary Electrophoresis-Based Chemical Analysis System on a Chip
Abstract
Micromachining technology was used to prepare chemical analysis systems on glass chips (1 centimeter by 2 centimeters or larger) that utilize electroosmotic pumping to drive fluid flow and electrophoretic separation to distinguish sample components. Capillaries 1 to 10 centimeters long etched in the glass (cross section, 10 micrometers by 30 micrometers) allow for capillary electrophoresis-based separations of amino acids with up to 75,000 theoretical plates in about 15 seconds, and separations of about 600 plates can be effected within 4 seconds. Sample treatment steps within a manifold of intersecting capillaries were demonstrated for a simple sample dilution process. Manipulation of the applied voltages controlled the directions of fluid flow within the manifold. The principles demonstrated in this study can be used to develop a miniaturized system for sample handling and separation with no moving parts.
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Cited by
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Reetz, M. T. (2001) · Angewandte Chemie International Edition · doi:10.1002/1521-3773(20010119)40:2<284::aid-anie284>3.0.co;2-n · Cited by 594
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Zhu, Z., Lu, J. J., & Liu, S. (2012) · Analytica Chimica Acta · doi:10.1016/j.aca.2011.10.022 · Cited by 202
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Metadata
- Authors
- Harrison, D. J., Fluri, K., Seiler, K., Fan, Z., Effenhauser, C. S., & Manz, A.
- Venue
- Science
- Published
- 1993-08-13
- Volume
- 261
- Issue
- 5123
- Pages
- 895-897
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1972466773
- Cited by
- 1,800
- References
- 0
- FWCI
- 21.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Harrison, D. J., Fluri, K., Seiler, K., Fan, Z., Effenhauser, C. S., & Manz, A. (1993). Micromachining a Miniaturized Capillary Electrophoresis-Based Chemical Analysis System on a Chip. Science. https://doi.org/10.1126/science.261.5123.895
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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.
