Suppr超能文献

硫醇化聚合物:孕酮透皮给药系统的研发与评价

Thiolated polymers: development and evaluation of transdermal delivery systems for progesterone.

作者信息

Valenta C, Walzer A, Clausen A E, Bernkop-Schnürch A

机构信息

Institute of Pharmaceutical Technology and Biopharmaceuticals, University of Vienna, Austria.

出版信息

Pharm Res. 2001 Feb;18(2):211-6. doi: 10.1023/a:1011088619844.

Abstract

PURPOSE

To evaluate the possible use of polycarbophil-cysteine (PCP-Cys) as polymeric matrix for transdermal progesterone application.

METHODS

Thiolated polycarbophil was synthesised by the covalent attachment of cysteine to the basis polymer. The adhesive properties of PCP-Cys in comparison to polyvinylpyrrolidone/hydroxypropylmethylcellulose (PVP/HPMC) and polyvinylpyrrolidone/polyvinylalcohol (PVP/PVA) were investigated by testing the total work of adhesion (TWA) on porcine skin. Release studies in Franz diffusion cells and standard in vitro permeation experiments with porcine skin were performed analysing the progesterone content by high-performance liquid chromatography.

RESULTS

Films based on PCP-Cys displayed very high cohesive properties due to the formation of interchain disulfide bonds. The TWA of the thiolated polymer on porcine skin was significantly (P <0.05) the highest. In addition progesterone permeation was also the highest from PCP-Cys compared with PVP/HPMC and PVP/PVA within 24 hours.

CONCLUSION

PCP-Cys--a partly thiolated polymer--might be a novel polymer matrix for transdermal progesterone delivery with excellent adhesiveness on porcine skin.

摘要

目的

评估聚卡波非-半胱氨酸(PCP-Cys)作为经皮应用孕酮的聚合物基质的可能性。

方法

通过将半胱氨酸共价连接到基础聚合物上来合成巯基化聚卡波非。通过测试在猪皮肤上的总粘附功(TWA),研究了PCP-Cys与聚乙烯吡咯烷酮/羟丙基甲基纤维素(PVP/HPMC)和聚乙烯吡咯烷酮/聚乙烯醇(PVP/PVA)相比的粘附性能。在Franz扩散池中进行释放研究,并使用猪皮肤进行标准体外渗透实验,通过高效液相色谱分析孕酮含量。

结果

基于PCP-Cys的薄膜由于形成链间二硫键而表现出非常高的内聚性能。巯基化聚合物在猪皮肤上的TWA显著(P<0.05)最高。此外,与PVP/HPMC和PVP/PVA相比,PCP-Cys在24小时内的孕酮渗透量也是最高的。

结论

PCP-Cys(一种部分巯基化的聚合物)可能是一种新型的聚合物基质,用于经皮递送孕酮,在猪皮肤上具有优异的粘附性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验