首页> 外文期刊>Molecules >Preparation and Optimization of Triptolide-Loaded Solid Lipid Nanoparticles for Oral Delivery with Reduced Gastric Irritation
【24h】

Preparation and Optimization of Triptolide-Loaded Solid Lipid Nanoparticles for Oral Delivery with Reduced Gastric Irritation

机译:雷公藤甲素负载型固体脂质纳米粒的制备与优化,可降低胃刺激性

获取原文
获取原文并翻译 | 示例
           

摘要

Triptolide (TP) often causes adverse reactions in the gastrointestinal tract when it is administered orally. This study aimed to prepare and optimize triptolide-loaded solid lipid nanoparticles (TP-SLN) with reduced gastric irritation. The microemulsion technique was used to formulate TP-SLN employing a five-level central composite design (CCD) that was developed for exploring the optimum levels of three independent variables on particle size, encapsulation efficiency (EE) and drug loading (DL). Quadratic polynomial models were generated to predict and evaluate the three independent variables with respect to the three responses. The optimized TP-SLN was predicted to comprise fraction of lipid of 49.73%, surfactant to co-surfactant ratio of 3.25, and lipid to drug ratio of 55.27, which showed particle size of 179.8 ± 5.7 nm, EE of 56.5 ± 0.18% and DL of 1.02 ± 0.003% that were in good agreement with predicted values. In addition, the optimized nanoparticles manifested a sustained-release pattern in vitro and were stable during 3 h of incubation in simulated gastric fluids without significant size change and the majority (91%) of the drug was protected. Furthermore, the nanoparticles did not show obvious gastric irritation caused by oral administration of TP in rats.
机译:雷公藤甲素(TP)口服时常会引起胃肠道不良反应。这项研究旨在制备和优化负载雷公藤甲素的固体脂质纳米颗粒(TP-SLN),以减少胃部刺激。微乳液技术用于配制TP-SLN,采用五级中央复合设计(CCD),该设计旨在探索粒径,包封效率(EE)和载药量(DL)的三个独立变量的最佳水平。生成二次多项式模型来预测和评估关于三个响应的三个独立变量。预计优化的TP-SLN包含49.73%的脂质比例,3.25的表面活性剂与助表面活性剂之比和55.27的脂质与药物之比,其粒径为179.8±5.7 nm,EE为56.5±0.18%和DL为1.02±0.003%,与预测值非常吻合。此外,优化的纳米颗粒在体外表现出持续释放的模式,并且在模拟胃液中孵育3小时期间稳定,没有明显的大小变化,并且大多数(91%)的药物受到保护。此外,纳米颗粒没有显示出由大鼠口服TP引起的明显的胃刺激。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号