PLGA公司
药物输送
材料科学
粒径
纳米技术
乳状液
关键质量属性
微球
工艺工程
计算机科学
生物系统
化学工程
纳米颗粒
工程类
生物
作者
Rebeca Martínez-Borrajo,Patricia Díaz‐Rodríguez,Mariana Landín
出处
期刊:Drug Delivery
[Taylor & Francis]
日期:2023-06-05
卷期号:30 (1)
被引量:15
标识
DOI:10.1080/10717544.2023.2219864
摘要
Polymeric microparticles are widely used as drug delivery platforms either alone or embedded in more complex structures for regenerative medicine. Emulsion-solvent evaporation is the most extensively used technique for microparticles preparation. Despite the apparent simplicity of this method, there is no general procedure for producing microparticles of predictable characteristics (particle size, size distribution, encapsulation efficiency, and drug loading). Hybrid systems such as neurofuzzy logic allow identifying relationships between inputs and outputs, expressing the generated mathematical models through rules in linguistic format. In this work, the relationships between the variables involved in the emulsion-solvent evaporation process and the quality parameters of PLGA microparticles as drug delivery systems were established. Neurofuzzy logic software was able to generate models of high predictability (> 85%) for the microspheres properties namely particle size, size distribution, encapsulation efficiency and drug loading. Moreover, the generated sets of IF-THEN rules allowed to dictate general guidelines to better select the PLGA microparticles formulation parameters. This approach would be of great interest as a starting point to set-up protocols for the development of PLGA microparticles obtained by emulsion-solvent evaporation for many applications.
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