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In order to further clarify the rational use of different medicinal parts of Schizonepeta, microfluidic technology was used in this study to investigate the differences in drug efficacy against lung cancer in vitro. The ethanol extracts were examined with HPLC to establish their fingerprints in order to analyze the relationship between the spectrum and efficacy index through Grey Correlation software, and a rapid HPLC-Q-TOF/MS method was established. The result in vitro shows that the effect and components of different medicinal parts had a certain differences, and apoptosis and necrosis rate from big to small in turn is leaf, flower, root, stem. The chromatographic peaks of the 26, 12, 2, 6 and 15th are the luteolin, icynaroside, rosmarinic, caffeic acid, and hesperidin, while the 20 and 10th may be dan phenolic acid L and benzoic acid. On the one hand, preliminary study reflects that the root of Schizonepeta tenuifolia may be developed into the medicinal parts in future. On the other hand, the major chemical composition of S. tenuifolia was found to have the anti-lung-tumor effects. This new method was established for the quality control and the rational use of different parts of traditional Chinese medicine.

To establish the chromatography-efficacy relation method for analyzing the anti-inflammatory activity of Qizhi Weitong particles, in order to lay a foundation for quality control and pharmacodynamic evaluation of traditional Chinese medicine compounds.On the basis of a full-time multi-wavelength fusion fingerprint of Qizhi Weitong particles, the latin hypercube sampling was used to divide six herbs in Qizhi Weitong particles into groups of different proportions to determine their inhibition ratios of TNF-alpha, IL-6 and NO released by LPS-induced RAW264. 7 cells. Pharmaeodynamic data and chemical information of HPLC fingerprints of each group were analyzed with the gray correlation method to get the anti-inflammatory effect of each chromatographic peak, and then fitted with BP neural network to establish the chromatography-efficacy relation.There were 25 peaks closely related to the anti-inflammatory activity. With the 25 peaks as input items, the 3-BP network was adopted to establish the neural network model for anti-inflammatory effect of Qizhi Weitong particles.With an error of less than 7%, the model could better fit with the complicated non-linear relation of the compound, and applied in studying the chromatography-efficacy relation. In this study on the chromatography-efficacy relation, a new method is established to evaluate the anti-inflammatory activity of Qizhi Weitong particles. It is of practical significance as an effective approach for controlling quality and exploring the material basis for efficacy of traditional Chinese medicine compounds.

To control the quality of Qizhiweitong granules with the all-time multi-wavelength fusion fingerprint quantification as the major technique.Agilent TC-C18 (4.6 mm x 250 mm, 5 microm) chromatographic column was adopted, with 0.02% formic acid water-acetonitrile as the mobile phase for linear gradient elution. The flow rate was 1 mL x min(-1), column temperature was 30 degrees C, and detector wavelength was 230, 254, 283 nm. Matlab was adopted for all-time multiple-wavelength fusion for data in dif format.A good relationship was shown for albiflorin in 56.5-452 mg x L(-1) (r = 0.999 8), paeoniflorin in 107-856 mg x L(-1) (r = 0.999 8), licorice glycoside in 73.4-687 mg x L(-1) (r = 0.999 8), naringin in 109-872 mg x L(-1) (r = 0.999 8), neohesperidin in 48.0-384 mg L(-1) (r = 0.999 8), and glycyrrhizic acid in 38.6-308 mg x L(-1) (r = 0.999 8), with recoveries of 0.999 8.The method is simple, accurate and highly reproducible, and can provide basis for quality control of Qizhiweitong granules.