中国兽医科学2024，Vol.54Issue(10)：1399-1407,9.DOI:10.16656/j.issn.1673-4696.2024.0161
基于响应面法优化脂质纳米颗粒的配方及表征
Optimization and characterization of lipid nanoparticles based on response surface method
摘要
Abstract
Lipid nanoparticles are one of the most promising drug carriers for application.To address the impact of raw material formulation on the self-assembly of lipid nanoparticles,the study aims to optimize its formulation.The encapsulation efficiency was used as the evaluation index,the film-material ratio,lipid concentration,and the content of DMG-PEG 2000 were determined by single factor experiments.Box-Benhnken response surface analysis was used to optimize the preparation process of lipid nanoparticles,and their characterization was evaluated.The results showed that the three factors film-material ratio,lipid concentration and DMG-PEG 2000 content were determined by single factor experiments.The three levels of the three factors were:film-material material ratio was selected as 1∶1 and 2∶1,3∶1,lipid concentration was selected as 15,20 and 25 mmol/L,and DMG-PEG2000 content was selected as 5％,7％and 9％.The results are obtained by Box-Benhnken response surface analysis.When the film-material ratio of lipid nanoparticles was 2∶1,the concentration of lipid was 20mmol/L,and the content of DMG-PEG2000 was 7％,the encapsulation efficiency of lipid nanoparticles was(94.8±0.15)％,the particle size was(43.77±0.25)nm,polymer dispersity index(PDI)was(0.14±0.04),Zeta potential was(-0.44±0.15)mV,and the shape of the lipid nanoparticle is spherical and uniformly dispersed by transmission electron microscop.The stability test showed that after being placed at 4 ℃ for 28 days,there is no significant change in the average particle size,PDI and encapsulation efficiency of the lipid nanoparticles,indicating good stability of the lipid nanoparticles.This study provides a reference basis for the preparation of an efficient lipid nanoparticle.关键词
脂质纳米颗粒/Box-Benhnken响应面法/单因素/包封率Key words
lipid nanoparticles/Box-Benhnken response surface method/single factor/encapsula-tion efficiency分类
农业科技引用本文复制引用
麻玉清,柳海云,郭伟,江丽馨,孙世琪,王晓强,马全英,郭慧琛..基于响应面法优化脂质纳米颗粒的配方及表征[J].中国兽医科学,2024,54(10):1399-1407,9.基金项目
国家重点研发计划项目(2022YFD1800603,2021YFD1800300) （2022YFD1800603,2021YFD1800300）
国家自然科学基金项目(32072859,32072847,32002272) （32072859,32072847,32002272）
国家自然科学基金青年基金项目(32301127) （32301127）
2023兰州市人才创业创新项目(2023-RC-3) （2023-RC-3）
