RESUMEN
OBJECTIVE: To establish an HPLC method for simultaneous determination of nine components, i.e., paeoniflorin, naringin, hesperidin, neohesperidin, paeonol, asperosaponin , glycyrrhizic acid, curcumin and acetyl-11-keto-beta-boswellic acid, and evaluate the overall quality of Dieda pills. METHODS: The analysis was performed on an Agilent 1260 Infinity LC System with a diode array detector. The chromatographic separation was performed on Agilent Poroshell 120 EC-C18 (4.6 mm×100 mm, 2.7 μm) column. The mobile phase was a mixture of acetonitrile (mobile phase A) and water containing 0.1% phosphoric acid aqueous solution (mobile phase B). The gradient elution program was as follows: 5%-18%A for 0-7 min, keeping 18%A for 7-15 min, 18%-35%A for 15-27 min, 35%-60%A for 27-32 min, 60%-95%A for 32-42 min, keeping 95%A for 42-45 min.The flow rate was set at 1.0 mL•min-1, the column temperature was maintained at 30 ℃ and the injection volume was 5 μL. The detection wavelength was set at 230 nm for paeoniflorin, 283 nm for naringin, hesperidin and neohesperidin, 274 nm for paeonol, 212 nm for asperosaponin , 251 nm for glycyrrhizic acid, 440 nm for curcumin and 251 nm for acetyl-11-keto-beta-boswellic acid, respectively. RESULTS: All the nine components achieved good separation.The linear ranges fell with in the range of 0.1-1.0 μg for paeoniflorin, naringin, neohesperidin andacetyl-11-keto-beta-boswellic acid, 0.2-2.0 μg for hesperidin and asperosaponin , 0.04-0.4 μg for paeonol, 0.02-0.2 μg for glycyrrhizic acid and 0.01-0.1 μg for curcumin,respectively(r2≥0.999 8). The average recoveries (n=6) were 96.95%-100.4% and the RSDs were 0.21%-0.81%. CONCLUSION: The developed method is simple, accurate, reliable, and can be used for the overall quality control and quality evaluation of Dieda pills.
RESUMEN
OBJECTIVE: To establish new category identification models of Rhei Radix et Rhizoma for authenticity and species prediction. METHODS: The samples were extracted by ultrasonic with methanol, separated by UPLC and detected by DAD. Data were processed and screened by MPP software to reveal the variation of components of Rhei Radix et Rhizoma. The category prediction models were established to distinguish authentic from unauthentic Rhei Radix et Rhizoma and three species of authentic Rhubarb. RESULTS: These models were confirmed to prensent prediction accuracy of 100%. Fifteen samples were predicted and classified with confidence level of greater than 0.57. CONCLUSION: The prediction model is simple, reliable and accurate. It is suitable for the identification and quality evaluation of different species of Rhei Radix et Rhizoma crude drugs and decoction pieces.