文章摘要
孟 丹,邱越佳,杨婷媛,王连艳,王 硕,朱艳华,马光辉.聚合物脂质纳米球的制备优化[J].,2018,(10):1887-1891
聚合物脂质纳米球的制备优化
Preparation and Characterization of Polymer-lipid Nanoparticles
投稿时间:2017-10-30  修订日期:2017-12-06
DOI:10.13241/j.cnki.pmb.2018.10.016
中文关键词: 脂质纳米球  超声复乳法  响应面法  蛋白类药物
英文关键词: Polymer-lipid nanoparticles  Ultrasonic double emulsion method  Response surface methodology  Protein drugs
基金项目:国家自然科学基金项目(21476243)
作者单位E-mail
孟 丹 黑龙江中医药大学药学院 黑龙江 哈尔滨 150040 2243047721@qq.com 
邱越佳 黑龙江中医药大学药学院 黑龙江 哈尔滨 150040  
杨婷媛 中国科学院过程工程研究所生化工程国家重点实验室 北京 100190  
王连艳 中国科学院过程工程研究所生化工程国家重点实验室 北京 100190  
王 硕 中国科学院过程工程研究所生化工程国家重点实验室 北京 100190  
朱艳华 黑龙江中医药大学药学院 黑龙江 哈尔滨 150040  
马光辉 中国科学院过程工程研究所生化工程国家重点实验室 北京 100190  
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中文摘要:
      摘要 目的:制备粒径均一且稳定、载药率和包埋率较高的聚合物脂质纳米球。方法:将HSPC(氢化大豆卵磷脂)与PLGA(聚乳酸-羟基乙酸共聚物)两种材料结合,利用超声复乳法制备聚合物脂质纳米球,采用响应面法优化最佳制备工艺;以HSPC(氢化大豆卵磷脂)与PLGA(聚乳酸-羟基乙酸共聚物)的比例、PVA浓度、超声功率为条件优化制备参数,以粒径为响应值。结果:优化后的最佳工艺参数为:HSPC与PLGA的比例为1:10,PVA浓度为0.66%,超声功率为51.34% (205.36 W)。结论:按最优工艺制备出的聚合物脂质纳米粒的粒径为230 nm左右,多分散系数(PDI)值为0.057,与预测值偏差较小,且粒径分布均一,可作为蛋白及多肽类药物的递送载体。
英文摘要:
      ABSTRACT Objective: In order to prepare stable polymer-lipid nanoparticles with uniform particle size, high drug loading and en- capsulation efficiency. Methods: HSPC (Hydrogenated Soybean Phospholipids Mixed Compounds) and PLGA (Poly(lactic-co-glycolic acid) ) were combined to prepare the polymer-lipid nanoparticles with ultrasonic double emulsion method. The preparation process was optimized using Response Surface Methodology(RSM). The ratios of HSPC-PLGA, PVA concentrations and ultrasonic power were em- ployed as three main factors affecting the formation of nanoparticles in the preparation process. The particle size was chose as the re- sponse value. Results: The optimal conditions were obtained as follows: the ratio of HSPC-PLGA was 1:10, the concentration of PVA was 0.66%, and the ultrasonic power was 51.34% (205.36 W) respectively. Conclusion: The size of nanoparticles prepared under the op- timal conditions was about 230 nm with narrow size distributions, and the PDI value was 0.057, which was closer to the predicted value. The established polymer-lipid nanoparticles could be used as protein and polypeptide drugs in delivery system.
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