Suppr超能文献

载氯霉素聚乳酸-羟基乙酸共聚物(PLGA)纳米粒:制剂、表征、锝-99m标记及生物分布研究

Chloramphenicol-incorporated poly lactide-co-glycolide (PLGA) nanoparticles: formulation, characterization, technetium-99m labeling and biodistribution studies.

作者信息

Halder Kamal Krishna, Mandal Bivash, Debnath Mita Chatterjee, Bera Hriday, Ghosh Lakshmi Kanto, Gupta Bijon Kumar

机构信息

Nuclear Medicine Division, Indian Institute of Chemical Biology, Kolkata, India.

出版信息

J Drug Target. 2008 May;16(4):311-20. doi: 10.1080/10611860801899300.

Abstract

Chloramphenicol-loaded (CHL) poly-d,l-lactic-co-glycolic acid (PLGA) nanoparticles (NPs) were prepared by emulsification solvent evaporation technique either by using polyvinyl alcohol (PVA) as emulsion stabilizer or polysorbate-80 (PS-80) as surfactant and characterised by transmission electron microscopy, zeta-potential measurements. The NPs were radiolabeled with technetium-99m ((99m)Tc) by stannous reduction method. Labeling conditions were optimised to achieve high-labeling efficiency, in vitro and in vivo (serum) stability. The labeled complexes also showed very low transchelation as determined by DTPA challenge test. Biodistribution studies of (99m)Tc-labeled complexes were performed after intravenous administration in mice. The CHL-loaded PLGA NPs coated with PS-80 exhibited relatively high brain uptake with comparatively low accumulation in bone marrow to that of free drug and CHL-loaded PLGA NPs (PVA, used as emulsion stabilizer) at 24 h post injection time period. This indicates the usefulness of the above delivery system for prolonged use of the antibiotic.

摘要

采用乳化溶剂蒸发技术,以聚乙烯醇(PVA)作为乳化稳定剂或聚山梨酯80(PS - 80)作为表面活性剂,制备了负载氯霉素(CHL)的聚d,l - 乳酸 - 乙醇酸共聚物(PLGA)纳米颗粒(NPs),并通过透射电子显微镜、zeta电位测量对其进行了表征。通过亚锡还原法用锝 - 99m((99m)Tc)对纳米颗粒进行放射性标记。对标记条件进行了优化,以实现高标记效率、体外和体内(血清)稳定性。通过二乙三胺五乙酸(DTPA)激发试验测定,标记的复合物还显示出非常低的转螯合作用。在小鼠静脉注射后进行了(99m)Tc标记复合物的生物分布研究。在注射后24小时的时间段内,涂覆有PS - 80的负载CHL的PLGA NPs与游离药物和负载CHL的PLGA NPs(用作乳化稳定剂的PVA)相比,表现出相对较高的脑摄取和较低的骨髓蓄积。这表明上述递送系统对于抗生素的长期使用是有用的。

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