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Cited by 678

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Patterned Delivery of Immunoglobulins to Surfaces Using Microfluidic Networks

Delamarche, Emmanuel, Bernard, André, Schmid, Heinz, Michel, Bruno, Biebuyck, Hans·1997·Science

Abstract

Microfluidic networks (μFNs) were used to pattern biomolecules with high resolution on a variety of substrates (gold, glass, or polystyrene). Elastomeric μFNs localized chemical reactions between the biomolecules and the surface, requiring only microliters of reagent to cover square millimeter–sized areas. The networks were designed to ensure stability and filling of the μFN and allowed a homogeneous distribution and robust attachment of material to the substrate along the conduits in the μFN. Immunoglobulins patterned on substrates by means of μFNs remained strictly confined to areas enclosed by the network with submicron resolution and were viable for subsequent use in assays. The approach is simple and general enough to suggest a practical way to incorporate biological material on technological substrates.

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Registry

Crossref · 10.1126/science.276.5313.779

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Metadata

Authors
Delamarche, E., Bernard, A., Schmid, H., Michel, B., & Biebuyck, H.
Venue
Science
Published
1997-05-02
Volume
276
Issue
5313
Pages
779-781
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1978027717
Cited by
678
References
8
FWCI
29.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Patterned Delivery of Immunoglobulins to Surfaces Using Microfluidic Networks. https://app.cochat.ai/papers/10.1126/science.276.5313.779
The paper
Delamarche, E., Bernard, A., Schmid, H., Michel, B., & Biebuyck, H. (1997). Patterned Delivery of Immunoglobulins to Surfaces Using Microfluidic Networks. Science. https://doi.org/10.1126/science.276.5313.779

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.