Liu Lin, Shen Bao-Jia, Xie Dong-Hao, Cai Bao-Chang, Qin Kun-Ming, Cai Hao
Department of Pharmacy, Dahua Hospital, Xuhui District, Shanghai 200237, China.
Engineering Research Center of Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing 210029, China ; Nanjing Haichang Chinese Medicine Group Co. Ltd, Nanjing 210061, China ; Key Laboratory of State Administration of TCM for Standardization of Chinese Medicine Processing, Nanjing 210023, PR China, China.
Pharmacogn Mag. 2015 Oct-Dec;11(44):682-9. doi: 10.4103/0973-1296.165545.
Cimicifugae rhizoma was a Ranunculaceae herb belonging to the composite family, and the roots of C. rhizoma have been widely used in tradition Chinese medicine.
Ultrasound-assisted extraction (UAE) of phenolic compounds from C. rhizoma. Caffeic acid (CA), isoferulic acid (IA), ferulic acid (FA), and total phenols were quantified by high-performance liquid chromatography-diode array detection and ultraviolet-visible spectrophotometer. Effects of several experimental parameters, such as ultrasonic power (W), extraction temperature (°C), and ethanol concentration (%) on extraction efficiencies of phenolic compounds from C. rhizoma were evaluated.
The results showed that the optimal UAE condition was obtained with ultrasonic power of 377.35 W, extraction temperature of 70°C, and ethanol concentration of 58.37% for total phenols, and ultrasonic power of 318.28 W, extraction temperature of 59.65°C, and ethanol concentration of 64.43% for combination of CA, IA, FA.
The experimental values under optimal conditions were in good consistent with the predicted values, which suggested UAE is more efficient for the extraction of phenolic compounds from plant materials.
升麻属毛茛科草本植物,属于菊科,其根在传统中药中已被广泛应用。
采用超声辅助提取法从升麻中提取酚类化合物。通过高效液相色谱 - 二极管阵列检测和紫外可见分光光度计对咖啡酸(CA)、异阿魏酸(IA)、阿魏酸(FA)和总酚进行定量分析。评估了超声功率(W)、提取温度(℃)和乙醇浓度(%)等几个实验参数对升麻中酚类化合物提取效率的影响。
结果表明,总酚的最佳超声辅助提取条件为超声功率377.35 W、提取温度70℃、乙醇浓度58.37%;咖啡酸、异阿魏酸、阿魏酸组合的最佳条件为超声功率318.28 W、提取温度59.65℃、乙醇浓度64.43%。
最佳条件下的实验值与预测值高度一致,这表明超声辅助提取法对从植物材料中提取酚类化合物更有效。