This study was aimed to investigate the effect of Xiao-Jian-Zhong decoction and its disassembled prescriptions on the content determination of paeoniflorin . A gradient HPLC system was used in the quantitative analysis of paeoniflorin on Diamonsil RP-C18 column ( 250 mm × 4 . 6 mm , 5 μm ) with the mixed solvents of acetonitrile and water . The flow rate was 1 . 0 mL?min-1 and the detection wavelength was 230 nm . The results showed that the content of paeoniflorin had great changes comparing with X iao-Jian-Zhong decoction with its different disassembled prescriptions . The analysis of variance showed that the difference among groups was sig-nificant (P < 0.05). SNKq analysis showed that there was significant difference between groups 6 and 1, 6 and 2 , 6 and 5 ( P < 0 . 05 ) . But no significant difference was existed among group 6 , 3 and 4 ( P > 0 . 05 ) . It was concluded that liquorice and cassia twigs were helpful to the dissolution of paeoniflorin in the decoction . But jujube and ginger had few effects . The content of paeoniflorin in group 5 which does not include maltose was the highest among all groups . It may be due to the fact that paeoniflorin was wrapped in the maltose of X iao-Jian-Zhong decoction .

For solving the problem that common similarity algorithms are insensitive to the relative differences of different chromatographic fingerprints data, this paper improved the algorithms of improved extent similarity), which named new improved extent similarity. It was confirmed that new improved extent similarity could distinguish) the samples with the same total difference and different distribution of relative differences. by applying) the similarity algorithm to simulated data and the chromatographic fingerprints of nine batches Rukuaixiao tablets. New improved extent similarity could reflect the relative differences of peak areas more sensitively when the relative differences of common peak areas was less than 100%. The result indicates that new improved extent similarity can reflect the large deviation from the established proportion of components, which can be applied to the control of the fluctuation of the established proportion of effective components and the process quality control of Traditional Chinese Medicine .

Objective:To establish a method for determination of total flavonoids,eriodictyol-7-methylether and isosakuranetin in Artemisia halodendron seeds.Method:The content of total flavonoids was determined by ultraviolet spectrophotometry at 506 nm,and compared with eriodictyol-7-methylether as a reference substance;the content of eriodictyol-7-methylether and isosakuranetin was determined by RP-HPLC,the analytical column was YMC-Pack ODS-A column(5?m,4.6 mm?250 mm),the mobile phase consisted of acetonitrile-0.2% phosphoric acid aqueous(35:65) at a ow rate of 1.0 ml?min-1,and the detection wavelength was 288 nm.Results:The linear range of total avonoids was 0.1228--0.7368mg(r=0.9991) and the average recovery(n=6) was 100.5%(RSD=1.41%);the linear ranges of eriodictyol-7-methylether and isosakuranetin were 3.016--30.16?g/ml(r=0.9999)and 3.304--33.04?g/ml(r=0.9999),respectively;the average recoveries(n=6) were 98.9%(RSD=1.20%)and 96.8%(RSD=1.38%),respectively.Conclusion:The methods of UV and HPLC are simple,accurate with good reproducibility and suitable for determination of total avonoids,eriodictyol-7-methylether and isosakuranetin.

Network pharmacology is an emerging discipline based on the Disease-Gene-Drug multilevel network. And it has been used to forecast the drug targets and improve the efficiency of drug discovery. Its research ideas are similar to the overall efficacy of traditional Chinese medicine (TCM), which attracts more and more medical re-searchers to look for the joint point of TCM and network pharmacology. A series of approaches on disease-related genes, predicting the information of target and active ingredients of TCM emerge. In this paper, the network pharma-cology research tools, databases and their applications were summarized and introduced. This paper also proposed scientific strategies to separate active ingredients of TCM using network pharmacology, so as to improve the efficiency and speed of finding active ingredients of TCM.