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Cited by 426

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Formation of highly porous biodegradable scaffolds for tissue engineering

Open access
Mikos, Antonios G., Temenoff, Johnna S.·2000·Electronic Journal of Biotechnology

Abstract

In recent years, lack of donor organs has caused many to consider tissue engineering methods as means to replace diseased or damaged organs. This newly-emerging field uses tissue-specific cells in a three-dimensional organization, provided by a scaffolding material, to return functionality of the organ. For these applications, the choice of scaffolding material is crucial to the success of the technique. In addition to the chemical properties of the material, physical properties such as surface area for cell attachment are essential. Various methods of creating pores in these materials to increase surface area are reviewed here. Scaffolds formed using the different techniques, which include fiber bonding, solvent casting/particulate leaching, gas foaming and phase separation, are compared on the basis of porosity, pore size, and promotion of tissue growth.

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Crossref · 10.2225/vol3-issue2-fulltext-5

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Metadata

Authors
Mikos, A. G., & Temenoff, J. S.
Venue
Electronic Journal of Biotechnology
Publisher
Elsevier BV
Published
2000-08-15
Volume
3
Issue
2
ISSN
0717-3458 (ISSN-L)
OpenAlex
W4241286643
Cited by
426
References
2
FWCI
3.70
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Formation of highly porous biodegradable scaffolds for tissue engineering. https://app.cochat.ai/papers/10.2225/vol3-issue2-fulltext-5
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Mikos, A. G., & Temenoff, J. S. (2000). Formation of highly porous biodegradable scaffolds for tissue engineering. Electronic Journal of Biotechnology. https://doi.org/10.2225/vol3-issue2-fulltext-5

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.