| In this paper, Salvia Miltiorrhiza as object, collected a total of 297 samples from Henan Nanyang, Henan Luoyang and Shanxi. The main content is divided into the following three parts:The first part is the application of near infrared spectroscopy in quantit ative analysis of Salvia miltiorrhiza. Determine of the content of salvianolic acid B and tanshinones in Salvia miltiorrhiza, with the specified methods of the 2010 edition of "People’s Republic of China Pharmacopoeia" third supplement. The results of determine as the reference values. Near infrared spectrometer scanning Salvia miltiorrhiza powder samples obtained near infrared spectras. The near infrared spectra were associated with the content of salvianolic acid B and tanshinones in Salviae Miltiorrhizae, and the spectral pretreatment method and modeling interval were studied. Using near infrared diffuse reflectance spectroscopy combined with partial least squares method, through the relevant stoichiometry calculations, the near infrared quantitative analysis models are established of salvianolic acid B and tanshinones in Salvia miltiorrhiza. Finally, through the validation set to validate the models, to determine the accuracy of the model. Salvia Miltiorrhiza from different areas in the salvianolic acid B and tanshinones quantitative analysis model the correlation coefficients(R2) respectively were 0.99576,0.99555, root mean square error of calibration(RMSEC) were 0.250,0.0247, root mean square error of predication(RMSEP) were 0.267,0.0302. Salvia Miltiorrhiza from Henan Nanyang in the salvianolic acid B and tanshinones quantitative analysis model of the R2 respectively were 0.99094,0.99497, RMSEC were 0.339,0.0297, RMSEP were 0.380,0.0316.The second part is the application of near infrared spectroscopy i n quantitative analysis of Salvia miltiorrhiza extract liquid(online monitoring). Salvia miltiorrhiza from different areas, respectively, using water, 80 % ethanol extraction, continuous sampling interval in the extraction process, the samples were scanned by near infrared spectroscopy and get the spectrograms of the near infrared spectroscopy.Using near infrared transmission and reflection spectroscopy combined with partial least squares method, through related chemometric calculation, respectively establish the water, alcohol extract of salvianolic acid B and alcohol extract of tanshinones analysis model, and the model validation. Water and alcohol extract of salvianolic acid B quantitative analysis model the R2 respectively were 0.99097, 0.97900, RMSEC were 0.130, RMSEP were 0.187, 0.158, 0.180. Alcohol extract of tanshinones quantitative analysis model the R2 was 0.93766, RMSEC was 0.111, RMSEP was 0.113.The third part is the study on fingerprint of Salvia Miltiorrhiza. In different areas(Henan Nanyang, Henan Luoyang and Shanxi) of Salvia miltiorrhiza water and fat soluble components respectively study on fingerprint. The results showed that: Salvia miltiorrhiza from three habitats, the similarity of water soluble components of HPLC fingerprint were above 0.988, no obvious difference. The principal component analysis and cluster analysis results consistently show Henan Luoyang Salvia miltiorrhiza can be clustered into a class. Henan Nanyang and Shanxi cannot be distinguished from Salvia miltiorrhiza. The fat soluble components of HPLC fingerprint shows that Henan Luoyang Salvia miltiorrhiza similarity is below 0.915, the Henan Nanyang and Shanxi Salvia miltiorrhiza sample similarity evenly distributed in 0.970 ~ 0.990. The results of cluster analysis and principal component analysis with consistent results. Show that the Henan Luoyang Salvia miltiorrhiza can be clustered into one group, Henan Nanyang and Shanxi Salvia miltiorrhiza can not be distinguished. Near infrared qualitative analysis model of discri minant analysis, results show that the Henan Luoyang Salvia miltiorrhiza can be accurately distinguished as a class, but Henan Nanyang and Shanxi Salvia miltiorrhiza mix for a class cannot be separated. HPLC fingerprint with near infrared qualitative anal ysis results are consistent, while the near infrared analysis method is more simple, fast, accurate, non-destructive, environmental protection. Near infrared method is more beneficial to popularization... |
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