星点设计-效应面法优化艾纳香舒缓修护面膜配方

Optimization of the Formula of Smoothing Repair Mask with Blumea Balsamifera(L.) DC. by Central Composite Design-Response Surface Methodology

采用星点设计-效应面法优化艾纳香舒缓修护面膜配方。以甘油、卡波姆、1,3-丁二醇质量分数为主要影响因素,以外观评价和高湿低湿不同条件下的保湿性为评价指标,经归一处理后的总评OD值作为最终效应值,运用多元线性回归及二项式拟合建立指标与因素之间的数学模型,绘制等高线图和效应面图,经效应面法预测最佳配方参数并进行验证。优化后的最佳配方为添加质量分数5.2%的甘油、0.76%的卡波姆、3%的1,3-丁二醇,OD预测值和测定值平均偏差率为4.81%,小于5%。星点设计-效应面法优化使用方便,预测性良好,可用于优选艾纳香舒缓修护面膜的配方。

To optimize the formula of smoothing repair mask with Blumea Balsamifera（L.） DC,the mass fraction of glycerinum,carbomer and 1,3-butanediol were used as the major influence factors.The appearance evaluation and moisture retention under high humidity and low wet conditions were used as evaluation indices.And the overall desirability with normalized process was determined as the final effect value.The mathematical model about index and factors was established by multiple linear regression and binomial fitting.Then overlay contour plots and response surface were delineated.The optimal formulation parameters were predicted by response surface methodology and verified.The optimal conditions were mass ratio of 5.2% glycerinum,0.76% carbomer and 3% 1,3-butanediol.Mean bias between observed and predicted values was 4.81%,less than 5%.Central composite design-response surface methodology is convenient to use and has satisfactory predictability.It could be available for optimizing the formula of smoothing repair mask with Blumea Balsamifera（L.） DC.