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Cited by 963

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Generation of Solution and Surface Gradients Using Microfluidic Systems

Jeon, Noo Li, Dertinger, Stephan K. W., Chiu, Daniel T., Choi, Insung S., Stroock, Abraham D., Whitesides, George M.·2000·Langmuir

Abstract

This paper describes a simple, versatile method of generating gradients in composition in solution or on surfaces using microfluidic systems. This method is based on controlled diffusive mixing of species in solutions that are flowing laminarly, at low Reynolds number, inside a network of microchannels. We demonstrate the use of this procedure to generate (1) gradients in the compositions of solutions, measured directly by colorimetric assays and (2) gradients in topography of the surfaces produced by generating concentration gradients of etching reagents, and then using these gradients to etch profiles into the substrate. The lateral dimensions of the gradients examined here, which went from 350 to 900 μm, are determined by the width of the microchannels. Gradients of different size, resolution, and shape have been generated using this method. The shape of the gradients can be changed continuously (dynamic gradients) by varying the relative flow velocities of the input streams of fluids. The method is experimentally simple and highly adaptable, and requires no special equipment except for an elastomeric relief structure that can be readily prepared by rapid prototyping. This technique provides a new platform with which to study phenomena that depend on gradients in concentration, especially dynamic phenomena in cell biology (chemotaxis and haptotaxis) and surface chemistry (nucleation and growth of crystals, etching, and Marangoni effects).

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Crossref · 10.1021/la000600b

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Metadata

Authors
Jeon, N. L., Dertinger, S. K. W., Chiu, D. T., Choi, I. S., Stroock, A. D., & Whitesides, G. M.
Venue
Langmuir
Published
2000-10-01
Volume
16
Issue
22
Pages
8311-8316
ISSN
  • 0743-7463 (ISSN-L)
  • 1520-5827
OpenAlex
W1969435013
Cited by
963
References
13
FWCI
12.80
Type
journal article
Language
en
Open access
closed

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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.