[Tissue culture of safflower and analysis of secondary metabolites in suspension cells].

Safflower(Carthamus tinctorius), a valuable traditional Chinese medicinal plant, has attracted much attention in recent years. This study established a stable tissue culture system of safflower and analyzed the chromatogram of its secondary metabolites, providing high-quality experimental materials for further research on natural products in safflower. The calluses were established from the safflower seeds germinated in a sterile environment, and then they were differentiated into the aseptic seedlings, or cultured to obtain suspension cells in liquid medium.

[Discussion on research idea of quality marker of Salvia miltiorrhiza based on biosynthetic pathway of tanshinone compounds].

Based on the theory of Q-marker, the hairy root of Salvia miltiorrhiza and S. miltiorrhiza in many provinces were studied. The relative expressions of SmCPS, SmKSL and CYP76AH1 genes in hairy roots were detected by real-time fluorescence quantitative PCR and the contents of tanshinoneⅡ_A, cryptotanshinone, tanshinoneⅠ, 1,2-dihydrotanshinone, ferruginol and miltiradiene were detected by UPLC and GC-MS, respectively.

[Differentiation and Identification of Alicyclobacillus Strains by Fourier Transform Near-Infrared Spectroscopy].

Fourier transform near-infrared spectroscopy (FT-NIR) can reflect the overall molecular composition of microbial cells to identify different types of microorganisms. To establish an accurate, effective method about the differentiation and identification of Alicyclobacillus strains between different species, the present research performed the following studies by FT-NIR: (1) The FT-NIR spectra about seven type stains was clustered for data analysis. After preprocessing, reduction of data was performed by Principal Component Analysis (PCA) and Linear Discriminant Analysis(LDA), exploring the feasibility of differentiation and identification between different species, the result suggested that the PCA model can cluster the seven species of Alicyclobacillus strains correctly and the LDA model I can predict the unknown species with 100% accuracy.