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Chinese Journal of Information on Traditional Chinese Medicine ; (12): 58-62, 2017.
Artículo en Chino | WPRIM | ID: wpr-661199

RESUMEN

Objective To evaluate the quality coherence of Trillium tschonoskii Maxim.from different producing areas by HPLC fingerprint and PCA; To provide a method for quality control. Methods Samples were separated by Hibar C18 (4.6 mm × 250 mm, 5 μm) with acetonitrile-water as gradient mobile phase at the flow rate of 1.0 mL/min. The wavelength was 203 nm and the temperature was 30 ℃. Chromatographic Fingerprint Similarity Evaluation System and PCA were used to analyze the data. Results The results of method validation of HPLC fingerprint met technical standards.15 common peaks was verified and the similarities of 14 batches of Trillium tschonoskii Maxim. from different producing areas were among 0.389–0.979. 3 principal components with the characteristic root cumulative contribution rate reaching 87.674% were screened out by PCA results. The composite score of S2 was the highest (4.926), and the quality was the best. Conclusion The application of HPLC combined with PCA can objectively and effectively evaluate the quality difference of Trillium tschonoskii Maxim.from different producing areas.

2.
Chinese Journal of Information on Traditional Chinese Medicine ; (12): 58-62, 2017.
Artículo en Chino | WPRIM | ID: wpr-658293

RESUMEN

Objective To evaluate the quality coherence of Trillium tschonoskii Maxim.from different producing areas by HPLC fingerprint and PCA; To provide a method for quality control. Methods Samples were separated by Hibar C18 (4.6 mm × 250 mm, 5 μm) with acetonitrile-water as gradient mobile phase at the flow rate of 1.0 mL/min. The wavelength was 203 nm and the temperature was 30 ℃. Chromatographic Fingerprint Similarity Evaluation System and PCA were used to analyze the data. Results The results of method validation of HPLC fingerprint met technical standards.15 common peaks was verified and the similarities of 14 batches of Trillium tschonoskii Maxim. from different producing areas were among 0.389–0.979. 3 principal components with the characteristic root cumulative contribution rate reaching 87.674% were screened out by PCA results. The composite score of S2 was the highest (4.926), and the quality was the best. Conclusion The application of HPLC combined with PCA can objectively and effectively evaluate the quality difference of Trillium tschonoskii Maxim.from different producing areas.

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