Qinggusan is the 69th prescription in the first batch of "Catalogue of Ancient Chinese Classic Formulas". In modern clinical practiceï¼ Qinggusan is mainly used to treat noninfectious fever. Howeverï¼ because few studies on Qinggusan reference samples and their quality value transfer are availableï¼ the development and promotion of its compound preparations are restricted. Thereforeï¼ establishing an accurate and comprehensive quality control method to clarify the critical quality attributes of Qinggusan reference samples is of great importance. In this studyï¼ 15 batches of Qinggusan reference samples were processed to determine the range of their dry extract ratios. Quantitative high-performance liquid chromatography ï¼HPLCï¼ fingerprint analysis was performed using a Waters Symmetry Shield RP18 column ï¼250 mmÃ4.6 mmï¼ 5 μmï¼ with acetonitrile-0.1% ï¼v/vï¼ formic acid aqueous solution as the mobile phase in gradient elution mode. The flow rate was 1.0 mL/minï¼ the column temperature was 30 âï¼ and the detection wavelength was 254 nm. The HPLC fingerprints of the Qinggusan reference samples were established under these conditions to evaluate their similarity. The established method was systematically validated and found to demonstrate good precisionï¼ repeatabilityï¼ and sample stability. Subsequentlyï¼ characteristic peaks were identified and attributed by HPLC-quadrupole-time-of-flight-mass spectrometry ï¼HPLC-Q-TOF-MSï¼ analysis. MS was performed in electrospray ionization modeï¼ the data were collected in both positive- and negative-ion modesï¼ and the detection range was m/z 50-2000. The contents and transfer rate ranges of the index componentsï¼ namelyï¼ gentiopicrinï¼ mangiferinï¼ picroside â ¡ï¼ picroside â ï¼ and glycyrrhizic acidï¼ were determined to analyze the quality value transfer of the samples. The results demonstrated that the dry extract rate of the 15 batches of Qinggusan reference samples ranged from 24.10% to 26.88% and that their fingerprint similarities were generally greater than 0.95. Twelve common peaks were identified by reference identificationï¼ literature comparisonï¼ and high-resolution MS analysis. Twelve compoundsï¼ including six iridoid glycosidesï¼ two flavonoidsï¼ one alkaloidï¼ one triterpenoid saponinï¼ and two others. Among themï¼ L-piceinï¼ androsinï¼ picroside â £ï¼ picroside â ¡ and picroside â were from Picrorhizae Rhizomaï¼ loganin acidï¼ swertiamarin and gentiopicrin were from Gentianae Macrophyllae Radixï¼ neomangiferin and mangiferin were from Anemarrhenae Rhizomaï¼ dichotomine B was from Stellariae Radixï¼ and glycyrrhizic acid was from Glycyrrhizae Radix et Rhizoma. The five key components presented good linear relationships in their respective linear rangesï¼ and all correlation coefficients were higher than 0.999. The relative standard deviations ï¼RSDsï¼ of precisionï¼ stabilityï¼ and repeatability were less than 1.3%. The average recoveries varied between 95.92% and 102.5%ï¼ with RSDs less than 3.9%ï¼ these values meet the requirements defined in the 2020 edition of the Chinese Pharmacopoeia. The contents of gentiopicrinï¼ mangiferinï¼ picroside â ¡ï¼ picroside â ï¼ and glycyrrhizic acid in the 15 batches of reference samples were in the range of 17.92-27.55ï¼ 1.83-4.42ï¼ 23.08-36.44ï¼ 8.43-15.04ï¼ and 0.94-2.39 mg/gï¼ respectivelyï¼ and their transfer rates from the decoction pieces to the reference samples were 47.91%-63.95%ï¼ 22.96%-59.39%ï¼ 60.82%-77.82%ï¼ 64.25%-99.53%ï¼ and 15.30%-39.30%ï¼ respectively. In this studyï¼ the chemical components of Qinggusan reference samples were comprehensively identified and their quality value transfer was studied through the combination of HPLC fingerprinting and MS. Clarification of the critical quality attributes of Qinggusan reference samples could provide a basis for the quality control of Qinggusan compound preparations.
[Analysis on quality value transmitting of Qinggusan reference sample of classical prescription based on quantitative fingerprint technology].
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作者:Xu Xin, Wei Tong, Xue Qianqian, Ai Jiahao, Li Guixin, Liu Zhongguo, Li Dan, Hou Jincai, Jin Hongli, Liu Yanfang, Liang Xinmiao
| 期刊: | Chinese Journal of Chromatography | 影响因子: | 1.000 |
| 时间: | 2023 | 起止号: | 2023 Feb;41(2):142-151 |
| doi: | 10.3724/SP.J.1123.2022.09024 | ||
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