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作 者:温春梅 张琛武 徐荣[1] 徐超群 申国安 索风梅[1] 郭宝林[1] WEN Chun-mei;ZHANG Chen-wu;XU Rong;XU Chao-qun;SHEN Guo-an;SUO Feng-mei;GUO Bao-lin(Institute of Medicinal Plant Derelopment,Chinese Academy of Medical Sciences&Peking Union Medical Collge,Beijing 100193,China;Jiangxi University of Chinese Medicine,Nanchang 330004,China;Shanxi Pharmaceutical Vocational College,Taiyuan 030031,China)
机构地区:[1]中国医学科学院北京协和医学院药用植物研究所,北京100193 [2]江西中医药大学,江西南昌330004 [3]山西药科职业学院,山西太原030031
出 处:《中国中药杂志》2022年第22期6020-6026,共7页China Journal of Chinese Materia Medica
基 金:中国医学科学院医学与健康科技创新工程项目(2021-I2M-1-031)。
摘 要:淫羊藿为传统常用中药,具有补肾壮阳的功效,主要活性成分是黄酮类化合物。该研究选择了60个箭叶淫羊藿校正集样本,基于UPLC测定获得药典规定的总黄酮苷含量(朝藿定A、朝藿定B、朝藿定C和淫羊藿苷4个成分的总量,简称ABCI),以及又加含量较高的鼠李糖基淫羊藿次苷Ⅱ和淫羊藿次苷Ⅱ共6个成分总量(TF)2个指标,分别在“1 900~650 cm-1波段的一阶导数+多元散射校正(4点平滑)”和“4 000~650 cm-1全波段的一阶导数+标准正态变量校正(4点平滑)”等校正参数下,采用傅里叶红外光谱法加衰减全反射附件法(FTIR-ATR)结合偏最小二乘法(PLS)进行定量模型构建,进而用于11个验证集样本的含量预测,验证得出校正集和验证集样本ABCI指标的平均预测准确率分别为98.985%、96.087%,校正集和验证集样本TF指标的平均预测准确率分别为98.998%、94.771%。说明FTIR-ATR结合PLS定量模型可用于箭叶淫羊藿黄酮含量的快速预测,且预测准确率均在94.7%以上。该法的建立对淫羊藿大量样本的检测提供了新的解决方法。Epimedii Folium is a well-known Chinese herbal medicine with the effect of nourishing kidney and strengthening Yang. Its main active ingredients are flavonoids. In this study, 60 samples of Epimedium sagittatum were collected for the determination of total flavonoids(TF) including the total amount of epimedin A, epimedin B, epimedin C, and icariin(abbreviated as ABCI) specified in the Chinese Pharmacopoeia as well as rhamnosylicariside Ⅱ and icariside Ⅱ. The calibration parameters of "first derivativemultiva-riate scattering correction in 1 900-650 cm-1band(4-point smoothing)" and "first derivativestandard normal variable correction in 4 000-650 cm-1full band(4-point smoothing)" were confirmed respectively. The quantitative model was established via Fourier infrared spectroscopy plus attenuated total reflection(FTIR-ATR) accessory combined with partial least squares(PLS) method and then used to predict the flavonoid content of 11 validation sets. The average prediction accuracy for ABCI in calibration set and validation set was 98.985% and 96.087%, respectively. The average prediction accuracy for TF in calibration set and validation set was 98.998% and 94.771%, respectively. These results indicated that FTIR-ATR combined with PLS model could be used for rapid prediction of flavonoid content in E. sagittatum, with the prediction accuracy above 94.7%. The establishment of this method provides a new solution for the detection of a large number of E. sagittatum samples.
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