Xu Run-Sheng, Mao Cheng-Peng, Yu Rui-Peng, Cheng Cun-Gui
College of Chemistry and Life Science, Zhejiang Normal University, Jinhua 321004, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2008 Mar;28(3):671-4.
Microwave digestion technique was used in the decomposition of radix Paeoniae alba samples of different growing area, different growing time and before and after processing, and the contents of K, Ca, Na, Mg, Zn and Fe were determined by inductively coupled plasma-atomic emission spectrometry (ICP-AES). The results of the determination show that radix Paeoniae alba samples are rich in the trace elements. The RSDs of these elements were lower than 4%, and the recovery ratio ranged between 99% and 113%. The results revealed that the analytic method is sensitive and precise. The pattern recognition based on the principal component analysis (PCA) was applied to the measured trace elements of different radix Paeoniae alba samples. The PCA was useful in the classification of radix Paeoniae alba. This paper provides scientific basis for deeply studying the relation between the trace elements and the drug effect of radix Paeoniae alba.
采用微波消解技术对不同产地、不同生长年限及加工前后的白芍样品进行消解,用电感耦合等离子体原子发射光谱法(ICP-AES)测定其中K、Ca、Na、Mg、Zn、Fe的含量。测定结果表明,白芍样品中富含微量元素,各元素的相对标准偏差(RSD)均低于4%,回收率在99%~113%之间,说明该分析方法灵敏、准确。将基于主成分分析(PCA)的模式识别方法应用于不同白芍样品的微量元素测定数据,PCA法有助于白芍的分类。本文为深入研究白芍微量元素与药效之间的关系提供了科学依据。