Zhang Xian-Fei, Yang Jun-Li, Chen Juan, Shi Yan-Ping
Chinese Academy of Sciences (CAS), Lanzhou Institute of Chemical Physics, Key Laboratory of Chemistry of Northwestern Plant Resources of CAS and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou 730000, People's Republic of China University of Chinese Academy of Sciences, Beijing 100039, People's Republic of China.
Chinese Academy of Sciences (CAS), Lanzhou Institute of Chemical Physics, Key Laboratory of Chemistry of Northwestern Plant Resources of CAS and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou 730000, People's Republic of China.
J AOAC Int. 2017 Nov 1;100(6):1776-1784. doi: 10.5740/jaoacint.17-0022. Epub 2017 May 22.
An herbal formula, Huang-Qi-Liu-Yi Tang, is a prescription medicine that has been commonly used for the treatment of prostatitis and condyloma acuminatum over the last thousand years. In this study, response surface methodology, with a Box-Behnken design (BBD), was used to optimize the decoction conditions of an herbal formula. Astragaloside, calycosin-7-glucoside, glycyrrhizic acid, liquiritin, polysaccharide, and extractum were used as multiple evaluation markers. Soak time, water-to-medicinal herb ratio, and extraction time were determined as the three main variables by single-factor experiments and further optimized to obtain the maximum yields for the six marker compounds. Data from well-designed experiments were fitted to obtain second-order polynomial equations using multiple regression analysis, and the accuracies of these equations were evaluated and verified using statistical methods. By solving the regression equations and analyzing the three-dimensional response surfaces, optimum conditions were obtained and are summarized as follows: soak time of 57 min, water-to-medicinal herb ratio of 9:1 (mL/g), and extraction time of 48 min. Under optimized conditions, the experimental yields of astragaloside, calycosin-7-glucoside, glycyrrhizic acid, liquiritin, polysaccharide, and extractum were 0.13, 0.085, 1.64, 1.56, 72.19, and 25.64%, respectively, which was in good agreement with the values predicted by the BBD.
黄芪六一汤是一种中药方剂，在过去一千年里常用于治疗前列腺炎和尖锐湿疣。在本研究中，采用响应面法和Box-Behnken设计（BBD）来优化该中药方剂的煎煮条件。以黄芪甲苷、毛蕊异黄酮葡萄糖苷、甘草酸、甘草苷、多糖和浸膏为多指标评价成分。通过单因素实验确定浸泡时间、料液比和提取时间为三个主要变量，并进一步优化以获得六种指标成分的最大产率。运用多元回归分析对精心设计的实验数据进行拟合，得到二阶多项式方程，并采用统计方法对这些方程的准确性进行评估和验证。通过求解回归方程并分析三维响应面，得出最佳条件如下：浸泡时间57分钟，料液比9:1（mL/g），提取时间48分钟。在优化条件下，黄芪甲苷、毛蕊异黄酮葡萄糖苷、甘草酸、甘草苷、多糖和浸膏的实验产率分别为0.13%、0.085%、1.64%、1.56%、72.19%和25.64%，与BBD预测值吻合良好。
