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Cited by 1,401

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Natural–origin polymers as carriers and scaffolds for biomolecules and cell delivery in tissue engineering applications

Open access
Malafaya, Patrícia B., Silva, Gabriela A., Reis, Rui L.·2007·Advanced Drug Delivery Reviews
DOI 10.1016/j.addr.2007.03.012
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Abstract

The present paper intends to overview a wide range of natural-origin polymers with special focus on proteins and polysaccharides (the systems more inspired on the extracellular matrix) that are being used in research, or might be potentially useful as carriers systems for active biomolecules or as cell carriers with application in the tissue engineering field targeting several biological tissues. The combination of both applications into a single material has proven to be very challenging though. The paper presents also some examples of commercially available natural-origin polymers with applications in research or in clinical use in several applications. As it is recognized, this class of polymers is being widely used due to their similarities with the extracellular matrix, high chemical versatility, typically good biological performance and inherent cellular interaction and, also very significant, the cell or enzyme-controlled degradability. These biocharacteristics classify the natural-origin polymers as one of the most attractive options to be used in the tissue engineering field and drug delivery applications.

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Metadata

Authors
Malafaya, P. B., Silva, G. A., & Reis, R. L.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2007-05
Volume
59
Issue
4-5
Pages
207-233
ISSN
0169-409X (ISSN-L)
DOI
10.1016/j.addr.2007.03.012
OpenAlex
W2154659743
Cited by
1,401
References
5
FWCI
2.45
Type
journal article
Language
en
Open access
green

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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.