目的 运用Plackett-Burman实验设计联用星点设计-响应面法（CCD-RSM）筛选超声-微波协同提取大青叶中靛玉红的提取工艺。方法 运用Plackett-Burman实验设计筛选主要影响因素，采用CCD-RSM优选靛玉红的提取工艺。以乙醇体积分数、料液比、提取时间为自变量，靛玉红提取量为因变量，通过对自变量与因变量的完全2次响应曲面的回归拟合，利用三维曲面图直观分析大青叶中靛玉红提取最佳工艺，并进行预测分析。结果 靛玉红的最佳提取工艺为乙醇体积分数为62%，液料比为26，提取时间为9 min。在此最佳条件下，大青叶中靛玉红提取量的最大估计值为4.37 mg/g，实验结果与模型预测值相符。结论 利用Plackett-Burman实验设计联用CCD-RSM确定了大青叶中靛玉红的提取工艺，该方法简便，精度更高、重现性好、预测性强。

Objective To investigate the significance of each influencing factor and optimize the process of extracting indirubin from Isatidis Folium by Plackett-Burman design combined with central composite design-response surface methodology (CCD-RSM). Methods Plackett-Burman experimental design was used to screen the main influencing factors, and CCD-RSM was used to optimize the extraction process of indirubin. With the concentration of ethanol, the ratio of material to liquid, and the extraction time as independent variables and the extraction amount of indirubin as dependent variable, the optimum extraction process of indirubin from Isatidis Folium was predicted and analyzed by multiple linear regression and binomial fitting models with independent and dependent variables and the three-dimensional surface graph. Results The optimal extraction process of indirubin was as follows: ethanol concentration 62%, solvent/sample ratio of 26, and extraction time 9 min. Under these conditions, the maximal extraction rate of indirubin was 4.37 mg/g which was consistent with model predictions. Conclusion The optimal process is simple and convenient for extracting indirubin from Isatidis Folium with high precision, reproducibility, and predictability.