ABSTRACT
Objective: To establish an HPLC method for the analysis of thirteen main chemical constituents (gallicacid, 5-hydroxymethylfurfural, methylgallate, oxypaeoniflora, catechins, paeoniflorin, 1,2,3,6-tetra- O-galloyl-D-glucose, 1,2,4,6-tetra-O- galloyl-D-glucose, benzoicacid, 1,2,3,4,6-penta-O-galloyl-D-glucose, mudanpioside C, benzoyloxypaeoniflorin, and paeonal) in Moutan Cortex from different origins. Methods: The methanol (50%) reflux extraction was adopted to Moutan Cortex. Separation was carried out on C18 (250 mm × 4.6 mm, 5 μm), the mobile phase was eluted with acetonitrile-0.5% phosphoric acid. The flow rate was 1.0 mL/min, the detection wavelength was 254 nm, and the column temperature was 30 ℃. Results :The linear relation of thirteen main active components measured in the range of mass concentration was good with perfect precision, repeatability, and stability, the value of which was all more than 0.999 5. Conclusion: The HPLC method established for simultaneous determination of thirteen main chemical compositions in Mortan Cortex is effective, accurate, and reproducible, which can be used for the quality control of Mortan Cortex.
ABSTRACT
AIM To determine the quality constant of Chinese medicine and to establish a method of grades evaluation of Cortex Moutan decoction pieces.METHODS Cortex Moutan decoction pieces' morphological indexes should be observed and measured,the contents of phenol and paeoniflorin were measured by HPLC.Cortex Moutan decoction pieces was graded according to the quality constant of Chinese medicine which was calculated.RESULTS Cortex Moutan decoction pieces could be divided into three grades by the quality constant of Chinese medicine,the cutoff point of the firsts was greater than or equal to 1.56;the second was greater than or equal to 1.12 but less than 1.56;while the third was less than 1.12.CONCLUSION This method combines the apparent parameters of Cortex Moutan decoction pieces with its intrinsic quality,which can devide grades of it objectively and provides a reference for its classification.