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Predicting the Size of Electrospun Elastomer Fibers from Multi-component Solutions

机译:预测来自多组分溶液的电纺弹性体纤维的尺寸

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Due to their excellent biocompatibility, isobutylene-based thermoplastic elastomers started to gain space in medical applications. The purpose of the research it to discover the potential which lies in electrospun fiber mats made from the recently discovered thermoplastic elastomer, poly(alloocimene-b-isobutylene-b-alloocimene) block copolymer and to establish a set of correlations through which the outcomes of the production process could be accurately approximated. It starts with the production of the polymer, then characterization and finally electrospinning it into fibers. Analyzing the morphology of the fibers will give the data from which the predictive model can be built in order to accurately simulate different setups of the process, which have not been tried out yet but could lead to favorable results. One of the possible applications is studying drug release from fibers with different morphology.
机译:由于其优异的生物相容性,基于异丁烯的热塑性弹性体开始在医疗应用中获得空间。 研究其目的是发现潜在的玻璃垫在最近发现的热塑性弹性体,聚(Alloocimene-B-异丁烯-Aloocimene)嵌段共聚物和建立一组相关性的情况下 生产过程可以准确地近似。 它从聚合物的生产开始,然后表征并最终将其静电成纤维。 分析光纤的形态将提供可以构建预测模型的数据,以便准确地模拟过程的不同设置,这尚未尝试,但可能导致有利的结果。 其中一个可能的应用正在研究具有不同形态学的纤维的药物释放。

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