Analysis of Chemical Components in Different Parts of Paliurus Ramosissimus Based on High Performance Liquid Chromatography Fingerprints

The test sample was ultrasonically extracted with anhydrous ethanol, separated on a Shim-pack GIST C₁₈-AQ column, and eluted using gradient mobile phase composed of acetonitrile and 0.2% （volume fraction） phosphoric acid solution at different volume ratios. The chemical components of the roots, stems, fruits, and leaves of Paliurus ramosissimus were analyzed by high performance liquid chromatography （HPLC） at 205 nm of detection wavelength, and the corresponding chromatography fingerprints were established. The 7 chemical components including betulinic acid, betulinaldehyde, lupeol, （+）-γ-tocopherol, stigmasterol, vitamin E, and β-sitosterol were determined simultaneously. The similarity of the chemical components in each part was evaluated using the Similarity Evaluation System of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 edition）, which issued by the Chinese Pharmacopoeia Committee, and the SPSS 21.0 software. As shown by the results, a total of 54 peaks were matched across the fingerprints of roots, stems, fruits, and leaves, of which 22 were identified as common peaks, and 7 common peaks were assigned to identify chemical components. The chemical components of roots, stems, and leaves exhibited high similarity, whereas the fruit samples showed greater variation, likely due to differences in sampling time. Linear relationships between the corresponding peak areas and mass concentrations of 7 chemical components were kept in definite ranges, with detection limits （3s/k） in the range of 0.01−0.08 mg·L⁻¹. Test for recovery was made by the standard addition method, giving results in the range of 93.3%‒108%, with RSDs （n=5） of the determined values less than 5.0%. This method was applied to analysis of the test samples, it was shown that there were distinct differences in the contents of the 7 chemical compounds in plant parts, among which betulinic acid had the highest content.