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A robust experimental design method to optimize formulations of retinol solid lipid nanoparticles

机译:优化视黄醇固体脂质纳米颗粒配方的可靠实验设计方法

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摘要

A robust experimental design method was developed using a response surface methodology and models to facilitate the development process of retinol solid lipid nanoparticles (SLNs). The SLNs were evaluated to determine how different parameters including lipid and surfactant affect size and encapsulation efficiency. This was conducted using factorial analysis and a robust design (RD) method was used to achieve optimal formulations. Two models were developed based on the RD principle and both mean and variance of the response characteristics were estimated functionally using the least squares method. They proved useful in formulation studies aiming to develop optimum by allowing a systematic and reliable design method. A model for maximizing the overall desirability represented by the geometric mean of all objectives was found to provide a better solution. The newly designed method provides useful information to characterize significant factors and obtain optimum formulations, thereby allowing a systematic and reliable design method.
机译:使用响应表面方法和模型开发了鲁棒的实验设计方法,以促进视黄醇固体脂质纳米颗粒(SLN)的开发过程。评估了SLN,以确定包括脂质和表面活性剂在内的不同参数如何影响尺寸和包封效率。这是使用析因分析进行的,并且使用了鲁棒设计(RD)方法来获得最佳配方。根据RD原理开发了两个模型,并使用最小二乘法在功能上估算了响应特征的均值和方差。他们被证明在配方研究中很有用,旨在通过允许系统和可靠的设计方法来达到最佳效果。发现了一个最大化所有目标的几何平均值表示的整体可取性的模型,可以提供更好的解决方案。新设计的方法可提供有用的信息,以表征重要因素并获得最佳配方,从而实现系统可靠的设计方法。

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