A rapid and practical prediction method for the Arizona solvent system family used in high speed countercurrent chromatography.

Selecting the appropriate solvent system is the key to the successful separation of samples by using countercurrent chromatography. Although high-speed countercurrent chromatography has been widely used in the separation and preparation of natural products, the selection of a solvent system has always been a stumbling block to the application of high-speed countercurrent chromatography. In order to explore a rapid and practical prediction method to select countercurrent chromatography solvent system, five linear prediction models of the Arizona solvent system family (HEMW) was established by using fourteen compounds with different structures and five HPLC columns of different brands. And two different solvent system selection methods (The partition coefficient K of the target compound in the solvent system was in the range of 0.25 < K < 2.5) were proposed for targeted separation of compounds and multi-component separation in a complex sample respectively. The appropriate HSCCC solvent system of five known compounds was determined by a HPLC analysis and a shake flask test and the appropriate HSCCC solvent system of two Chinese herbal extracts was determined by a HPLC analysis to verify the prediction method. In this study, solid-liquid partition chromatography (HPLC) and liquid-liquid partition chromatography (HSCCC) were linked by polarity to simplify the screening process of solvent system. This method reduced the difficulty and workload of solvent system selection, which provided methods and ideas for more solvent system prediction models.

[Action mechanism of Mahuang Xixin Fuzi decoction for mice with influenza based on metabolomics information].

This study aimed to analyze the endogenous metabolite changes in the serum of mice infected with H1N1 virus after intervention by Mahuang-Xixin-Fuzi decoction (MXF) based on metabolomics method, investigate potential biomarkers and related metabolic pathways, and explore the therapeutic mechanism of MXF through metabolomics technology. Thirty-six Kunming (KM) mice were randomly divided into three groups: normal group, model group and MXF group. Influenza virus H1N1 was used by nasal drip to establish influenza mice model. The mice in MXF group were orally administrated with MXF for 6 consecutive days after inoculation, and the other two groups were given with equal volume of saline solution in the same way. Body weight, rectal temperature, morbidity and mortality were recorded daily. Serum samples were collected 24 hours after the last administration for HPLC-TOF-MS analysis. The results showed that as compared with the normal group, the body weight and rectal temperature were decreased in model group, and their lung index and mortality rate were significantly increased (P<0.05); MXF had good therapeutic effects on the abnormity of body weight, rectal temperature, lung index and high mortality rate of mice infected with H1N1 virus. The original data collected from the serum samples were analyzed with R language, MPP, SIMCA-P and other software, and significant changes were found in 14 kinds of endogenous substances from mice serum (P<0.05). As compared with model group, the potential metabolic markers in MXF group recovered to normal levels to a certain degree after being intervened by MXF. Further analysis with MetPA data platform showed that, the pathways involved in 14 metabolites included glucose metabolism, arachidonic acid metabolism, glycerophospholipids and sphingolipids metabolism etc. The metabolomics study and pharmacological experiment showed that MXF might play a role of efficacy by improving glucose metabolism, regulating arachidonic acid metabolism, glycerophospholipid and sphingolipid metabolic pathways.

[The Component Analysis of Petroleum Ether Extract in Scutellariae barbatae,Hedyotis diffusa and the Herb Pair and the Investigation of Anti-Endometrial Cancer Cells Activity].

Objective: To investigate the chemical components and the activity of anti-endometrial cancer cells of the petroleum ether extract in Scutellariae barbatae and Hedyotis diffusa and the herb pair. Methods: Main composition analysis and identification were determined by the GC-MS technology combined with Kovats retention index( KI). Activity of anti-endometrial cancer cells was researched by MTT assay. Results: Unsaturated fatty acid,esters,sterol and other compounds in Scutellariae barbatae,Hedyotis diffusa and the herb pair were identified by GC-MS. Hedyotis diffusa and the herb pair contained more anthraquinones which distinguished from Scutellariae barbatae. The IC50 values for HEC-1A cells of petroleum ether extract in Scutellariae barbatae and Hedyotis diffusa and the herb pair were 275. 204 µg / m L,105. 826 µg / m L,148. 645 µg / m L. The IC50 values for Ishikawa cells of petroleum ether extract in Scutellariae barbatae and Hedyotis diffusa and the herb pair are 189. 114 µg / m L,77. 974 µg / m L,137. 999 µg / m L. Conclusion: Petroleum ether extract in Scutellariac barbatae and Hedyotis diffusa and the herb pair has inhibition effect on the proliferation of HEC-1A and Ishikawa cells,the Hedyotis diffusa has the strongest activity of anti-endometrial cancer. It is speculated that the strongest activity could be related to the higher content of anthraquinones.

[GC-MS analysis for volatile components from alpiniae katsumadai semen by three extraction methods].

OBJECTIVE: To analysis the volatile components in Alpiniae Katsumadai Semen. METHODS: The volatile components were extracted from Alpiniae Katsumadai Semen by steam distillation, head space injection and supercritical fluid extraction respectively, and then analyzed by GC-MS combined with Kovat's retention index. RESULTS: The volatile components extracted by steam distillation or head space extraction were found more likely to be terpenoids, whereas components extracted by supercritical fluid extraction were more likely to be alkenes, alcohols and aromatic compounds. CONCLUSION: Different sample pre-treatment methods are focused on different types of volatile components; Identification of the volatile components by GC-MS combined with Kovat's retention index is more accurate and rapid.