肺表面活性物质
化学
乳状液
三元运算
化学工程
胶束
色谱法
水溶液
三元数制
粒径
有机化学
物理化学
生物化学
相(物质)
工程类
计算机科学
程序设计语言
作者
Ni’matul Izza,Kazuyoshi Suga,Yukihiro Okamoto,Noriyoshi Watanabe,Tham Thi Bui,Yusuf Wibisono,Cut Rifda Fadila,Hiroshi Umakoshi
出处
期刊:Langmuir
[American Chemical Society]
日期:2021-04-02
卷期号:37 (14): 4284-4293
被引量:14
标识
DOI:10.1021/acs.langmuir.1c00270
摘要
Nanostructured lipid carriers (NLCs) are gaining attention as the new generation of lipid vehicles. These carriers consist of saturated lipids with small drops of liquid oil dispersed into the inner lipid matrix and are stabilized by a surfactant. Conventionally, NLC-based drug delivery systems have been widely studied, and many researchers are looking into the composition of NLC properties to improve the performance of NLCs. The membrane fluidity and polarity of self-assembling lipids are also essential properties that must be affected by membrane compositions; however, such fundamental characteristics have not been studied yet. In this study, NLCs were prepared from cetyl palmitate (CP), caprylic triglyceride (CaTG), and Tween 80 (T80). Structural properties, such as particle size and ζ-potential of the CP/CaTG/T80 ternary mixtures, were investigated. Then, the systematic characterization of self-assembly properties using fluorescence-based analysis was applied for the first time to the NLC system. As a final step, the ternary diagram was developed based on the self-assembly properties to summarize the possible structures formed at different compositions. The results showed four states: micelle-like, oil-in-water (O/W) emulsion-like, solid lipid nanoparticle-like, and intermediate (solid–liquid coexistence). For the purpose of making the lipid matrix more liquified, the heterogeneous state and the disordered state of the O/W emulsion-like structure might fulfill the criteria of NLCs. Finally, the ternary diagram provides new information about the assembly state of NLC constituents that could become an important reference for developing high-performance NLCs.
科研通智能强力驱动
Strongly Powered by AbleSci AI