4.7 Review

Self-folding polymeric containers for encapsulation and delivery of drugs

期刊

ADVANCED DRUG DELIVERY REVIEWS
卷 64, 期 14, 页码 1579-1589

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.addr.2012.02.012

关键词

Lithography; Three dimensional; Spatio-temporal; Controlled release; Origami; Hydrogels

资金

  1. NSF [CBET-1066898]
  2. NIH Director's New Innovator Award Program, NIH Roadmap for Medical Research [1-DP2-OD004346-01]
  3. Directorate For Engineering
  4. Div Of Chem, Bioeng, Env, & Transp Sys [1066898] Funding Source: National Science Foundation

向作者/读者索取更多资源

Self-folding broadly refers to self-assembly processes wherein thin films or interconnected planar templates curve, roll-up or fold into three dimensional (3D) structures such as cylindrical tubes, spirals, corrugated sheets or polyhedra. The process has been demonstrated with metallic, semiconducting and polymeric films and has been used to curve tubes with diameters as small as 2 nm and fold polyhedra as small as 100 nm, with a surface patterning resolution of 15 nm. Self-folding methods are important for drug delivery applications since they provide a means to realize 3D, biocompatible, all-polymeric containers with well-tailored composition, size, shape, wall thickness, porosity, surface patterns and chemistry. Self-folding is also a highly parallel process, and it is possible to encapsulate or self-load therapeutic cargo during assembly. A variety of therapeutic cargos such as small molecules, peptides, proteins, bacteria, fungi and mammalian cells have been encapsulated in self-folded polymeric containers. In this review, we focus on self-folding of all-polymeric containers. We discuss the mechanistic aspects of self-folding of polymeric containers driven by differential stresses or surface tension forces, the applications of self-folding polymers in drug delivery and we outline future challenges. (c) 2012 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据