ABSTRACT
The quality control of Chinese herbal medicine is a current challenge for the internationalization of traditional Chinese medicine. Traditional quality evaluation methods lack quantitative analysis, while modern quality evaluation methods ignore the origins and appearance traits. Therefore, an integrated quality evaluation method is urgent in need. Raw Rehmanniae Radix (RRR) is commonly used in Chinese herbal medicine. At present, much attention has been drwan towards its quality control, which however is limited by the existing quality evaluation methods. The present study was designed to establish a comprehensive and practical method for the quality evaluation and control of RRR pieces based on its chemical constituents, appearance traits and origins. Thirty-three batches of RRR pieces were collected from six provinces, while high-performance liquid chromatography (HPLC) was applied to determine the following five constituents, including catalpol, rehmannioside A, rehmannioside D, leonuride and verbascoside in RRR pieces. Their appearance traits were quantitatively observed. Furthermore, correlation analysis, principal components analysis (PCA), cluster analysis and t-test were performed to evaluate the qualities of RRR pieces. These batches of RRR pieces were divided into three categories: samples from Henan province, samples from Shandong and Shanxi provinces, and those from other provinces. Furthermore, the chemical constituents and appearance traits of RRR pieces were significantly different from diverse origins. The combined method of chemical contituents, appearance traits and origins can distinguish RRR pieces with different qualities, which provides basic reference for the quality control of Chinese herbal medicine.
Subject(s)
Chromatography, High Pressure Liquid , Drugs, Chinese Herbal/analysis , Medicine, Chinese Traditional , Plant Roots/chemistry , Principal Component Analysis , Quality Control , Rehmannia/chemistryABSTRACT
Objective::To study the components of Ginseng Radix et Rhizoma of different origins and growth years. Method::Rapid liquid chromatography-time of flight mass spectrometry (RRLC-Q-TOF-MS) was applied to detect the raw data of Ginseng Radix et Rhizoma.After peak extraction, alignment, and normalization, the multivariate statistical analysis was made for the resulted dataset to find out the different compounds.The compounds were identified by using accurate molecular weight and tandem mass spectra, and the standard references were used to further confirm the identification.The changing trends of these components in different ginseng samples were observed. Result::The ginseng samples of different growth years and different origins were divided into different groups in the score plot of PLS-DA, and the variables with the variable importance in projection (VIP) value of more than 1 were considered to contribute more to the separations, then the t-test was applied to determine whether potential biomarkers were statistically significant (P<0.05) between the two groups.The contents of eleven compounds, including ginsenoside Rb1, Rh4, and Rk2, were significantly different between ginseng samples aged 3 and 5 years, and the contents of these compounds increased as the rise of the ginseng growth years.Ginsenosides Rg1, Rf, Rh1, Rb1, and other six compounds were significantly different in ginseng samples from Jilin and Heilongjiang province. Conclusion::LC-MS is a rapid and accurate method for the analysis of ginseng samples, and could help to find out the different components among samples.
ABSTRACT
OBJECTIVE： To establish a method for simultaneous determination of 27 kinds of heavy metals and trace elements in Halloysitum album from different origins. METHODS： The sample was dissolved by wet digestion. Using inductively coupled plasma mass spectrometry （ICP-MS）， carrier gas was argon and collision gas was helium； plasma gas flow rate was 15.0 L/min； flow rate of carrier gas was 1.17 L/min and collision gas flow rate was 5.0 mL/min； atomizer was Barbinton， and sampling depth was 8.0 mm； atomizing chamber temperature was 2 ℃； radio frequency power was 1.3 kW； peristaltic pump revolutions was 30 r/min. In full quantitative analysis model， the number of test points was 3， the analysis time was 0.1 s， the repetition was 3 times， clustering analysis was conducted by using PASW Statistics 18.0 software. RESULTS： The linear range of 27 kinds of heavy metals and trace elements were 0-200 μg/L（r≥0.996 5）； the quantitative limit was 0.003 41-75.485 μg/L and the detection limit was 0.001 1-24.350 0 μg/L. RSDs of precision， stability and repeatability tests were all less than 7％； average recovery was 72.3％- 129.1％ （RSD was 0.9％-9.4％， n＝6）. The content of Al was 0.01-123 220.20 mg/kg， and Al was the element with the highest content. Li， Na， Mg， K， Ca， V， Mn， Fe， Co， Ni， Zn， Ga， Se， Rb， Sr， Ba and U were the principal components of trace elements and could be used as characteristic elements； 26 batches of Halloysitum Album samples could be grouped into 4 categories. CONCLUSIONS： The established method is simple， fast and highly sensitive， can improve the precision and accuracy of test results， and it is suitable for the determination of heavy metals and trace elements in Halloysitum album.
ABSTRACT
Objective: To identify and analyze the components of Moutan Cortex from different origins by UPLC-Q-TOF-MS technology. Methods: UPLC-Q-TOF-MS technology combined with chemical composition database was used to identify and analyze the components of Moutan Cortex. The results were analyzed and verified by multivariate statistical analysis and the biomarkers were identified. Results: The 37 components were identified in Moutan Cortex, the major components were galloyl glucoses, benzoic acids, paeonols, peoniflorins, and flavonoids. There were certain differences in the composition and content of Moutan Cortex from different origins. The medicinal materials from different origins were clustered into different groups respectively by principal component analysis (PCA). Five biomarkers were collected by partial least squares-discriminant analysis (PLS-DA) model and orthogonal partial least squares-discriminant analysis (OPLS-DA). Conclusion: The experimental results provide a theoretical basis for understanding chemical material basis and quality evaluation of Moutan Cortex, also provide the basis for the development of Chinese medicinal materials specifications and grades.