Objective To establish the method of infrared fingerprint,TLC identification and content determination of phenolic acid components of Yao medicine Calonyction muricatum(Linn)G.Methods The infrared fingerprint of 10 batches of Calonyction muricatum(Linn)G were established by infrared spectroscopy.The spectral datas were analyzed by similarity analysis,infrared spectroscopy(HCA),principal component analysis(PCA)and Partial-least-squares discriminant analysis(PLS-DA).Chlorogenic acid,heterochlorogenic acid A and caffeic acid of Calonyction muricatum(Linn)G were identified by TLC.The contents of neochlorogenic acid,chlorogenic acid,caffeic acid,cryptochlorogenic acid,isochlorogenic acid A and C were determined simultaneously by HPLC method.Results It could be suggested that organic acids,flavonoids and other compounds of Calonyction muricatum(Linn)G by infrared spectroscopy and nine common peaks were calibrated by infrared fingerprint;the similarity evaluation was above 0.999;the results of cluster analysis(CA)and principal component analysis(PCA)showed that it could be clustered into 2 categories,including S1,S2 and S3 were clustered into one categoriy and the rest were one.5 differential components(VIP>1)were selected by Partial-least-squares discriminant analysis;the test and control samples of TLC showed consistent locations the spots were clear,with good separation degree;the six components of Calonyction muricatum(Linn)G showed good linear relationship(r≥0.999 2),average sample recovery rate 97.77%-102.59%,and RSD less than 2.90% .Conclusion The TLC and infrared fingerprint were simple and stable,and the results of the six components were reliable,which can lay a scientific foundation for the quality control of the materials.

OBJECTI VE To optimize the extraction technology of the leaves of Dimocarpus longan according to flavonoids and phenolic acids. METHODS The contents of gallic acid ，protocatechuic acid ，ethyl gallate ，quercetin，luteolin and kaempferol in the leaves of D. longan were determined by HPLC. Based on single factor test ，with the ethanol volume fraction ，solid-liquid ratio and extraction time as factors ，using comprehensive scores of the contents of above six components as indexes ，the extraction technology of the leaves of D. longan was optimized by Box-Behnken response surface methodology. RESULTS The optimal extraction technology included ethanol volume fraction of 100％，solid-liquid ratio of l ∶ 7（g/mL），extraction time of 90 min， extraction temperature of 80 ℃. After 3 times of validation tests ，the average comprehensive score was 97.54（RSD＝0.33％，n＝ 3），relative error of which with predicted score （99.05）was 1.55％. CONCLUSIONS Box-Behnken response surface methodology combined with multi-index comprehensive score can be used for the extraction technology of the leaves of D. longan ，and the optimized extraction technology is stable and feasible.

OBJECTIVE To analyze the metabolites of Zhideke granules and speculate its metabolic pathway in rats in vivo. METHODS Male SD rats were randomly divided into blank group and administration group （Zhideke granules， 9.45 g/kg）； they were given ultrapure water or relevant medicine， twice a day， every 6-8 h， for 3 consecutive days. Serum， urine and feces samples of rats were collected， and their metabolites were identified by UPLC-Q-Exactive-MS technique after intragastric administration of Zhideke granules； their metabolic pathways were speculated. RESULTS After intragastric administration of Zhideke granules， 16 prototype components （i.g. irisflorentin， baicalin， chlorogenic acid） and 11 metabolites （i.g. hydration products of kaempferol or luteolin， methylation products of chlorogenic acid， and hydroxylation products of baicalin） were identified in serum， urine and feces of rats. Among them， 8 prototype components and 4 metabolites were identified in serum samples； 10 prototype components and 7 metabolites were identified in urine samples； 8 prototype components and 5 metabolites were identified in the fecal samples. CONCLUSIONS The metabolites of Zhideke granules in rats mainly include baicalin， irisflorentin，chlorogenic acid， and the main metabolic pathways included methylation， hydroxylation， glucuronidation.