[Analysis and Identification of H. rhamnoides subsp. sinensis Harvested From Different Producing Areas by FTIR Spectroscopy].

The accurate identification of traditional Chinese medicine (TCM) which collected from different producing areas is important for its quality control and clinical effects. In the present study, Fourier transform infrared spectroscopy (FTIR) combined with second derivative spectra were used to identify and analyze H. rhamnoides subsp. sinensis from different producing areas. The characteristic absorption peaks, including 2 925, 2 854, 1 743, 1 541 and 1 173 cm-1 belonging to fatty acids, flavonoids and saccharides appear in all 20 samples. But the absorption peak intensities and locations varied due to the different geographical regions. The results also showed that the absorption peaks at the range of 3 429～3 336 and 1 744 cm-1 were important characteristic absorption peaks which can identify H. rhamnoides subsp. sinensis from different producing areas. Also, absorption peaks at 1 030 and 1 516 cm-1 further confirmed the existence of flavonoids in all samples by comparing the second derivative infrared spectra in the range of 1 800～1 000 cm-1. However, the samples' differences can be intuitively found around peaks 1 711, 1 476 cm-1 and ranges from 1 689～1 515 and 1 400～1 175 cm-1. The results demonstrated that FTIR was a simple, convenient, fast and intuitive approach to identify and analyze H. rhamnoides subsp. sinensis from different producing areas. This method provides foundations for the analysis of chemical compositions and quality control for the TCM.

[Study on HPLC fingerprint and quantitative analysis of 3 components of Tibetan medicine Gyantse Seabuckthorn].

This study is to establish an HPLC fingerprint and quantitative analysis of 3 components of Gyantse Seabuckthorn from different producing areas.The separation was developed on Shimadzu InertSustain C18column (4.6 mm × 250 mm,5 µm) by gradient elution with acetonitrile and 0.2% phosphoric acid water as mobile phase at a flow rate of 1.0 mL•min ⁻¹; the detection wavelength was set at 360 nm and column temperature was set at 30 ℃. The data calculation was performed with similarity evaluation system for chromatographic fingerprint of traditional Chinese medicine(Version 2004A).The fingerprints of 10 batches of Gyantse Seabuckthorn were carried out by similarity comparison, and 12 chromatographic peaks were extracted as the common peaks of fingerprint, of which three main active ingredients were successfully determined. This is the first established fingerprint and multi-component quantitative determination of Gyantse Seabuckthorn by using HPLC. This method has good precision stability and repeatability that could provide basis for quality control and evaluation of Gyantse Seabuckthorn.

[HPLC fingerprint of Tibetan medicine Shaji Gao].

This study established an HPLC fingerprint of Tibetan medicine Shaji Gao from different habitats and lay a foundation for Shaji Gao varieties identification and preparation process. The chromatographic condition was as follow: Agilent zorbax SB-C18 (4.6 mm x 250 mm, 5 µm) eluted with the mobile phases of acetonitrile and 0.4% phosphoric acid water in gradient mode. The flow rate was 1.0 mL x min(-1), and the detection wavelength was set at 360 nm. The fingerprints of 15 batches Shaji Gao were carried out by similarity comparation, 7 chromatographic peaks were extracted as the common peaks of fingerprint, 3 peaks were identified, which were quercetin, kaempferol and isorhamnetin. The similarity degrees of 14 batches of samples were above 0.9 and 1 batch of samples was below 0.9. This is the first established fingerprint of Shaji Gao by using HPLC. This method has good precision, stability and repeatability that it could provide basis for quality control and evaluation of Shaji Gao.

[Study on three different species tibetan medicine sea buckthorn by 1H-NMR-based metabonomics].

The 1H-NMR fingerprints of three different species tibetan medicine sea buckthorn were established by 1H-HMR metabolomics to find out different motablism which could provide a new method for the quality evaluation of sea buckthorn. The obtained free induction decay (FID) signal will be imported into MestReNova software and into divide segments. The data will be normalized and processed by principal component analysis and.partial least squares discriminant analysis to perform pattern recognition. The results showed that 25 metabolites belonging to different chemical types were detected from sea buckthorn,including flavonoids, triterpenoids, amino acids, carbohydrates, fatty acids, etc. PCA and PLS-DA analysis showed three different varietiest of sea buckthorn that can be clearly separated by the content of L-quebrachitol, malic acid and some unidentified sugars, which can be used as the differences metabolites of three species of sea buckthorn. 1H-NMR-based metabonomies method had a holistic characteristic with sample preparation and handling. The results of this study can offer an important reference for the species identification and quality control of sea buckthorn.