High Performance Liquid Chromatography Fingerprinting And Near-infrared Spectra Of The Active Ingredient In Rhubarb

The fingerprint chromatography (FPC) is a kind of quality control technology, the complexity and correlation of traditional Chinese medicine can be showed in the FPC, just like the human being's fingerprint. It is one of the key parts in the modernization of traditional Chinese medicine. Recently, with the development of modem analytical techniques and information science, FPC has been taken as the most effective method on the quality control of traditional Chinese medicine. Near-infrared spectroscopy (NIRS) technique has a more wide application area in the qualitative identification and quantitative analysis of traditional Chinese medicine because it is simple, rapid, and undestroyed. Artificial Neural Network (ANN) which simulates the structure and functions of human brain's neural-cells is one of the chemometrics methods on the analysis of NIRS by building nonlinear models. Rhubarb is known to the whole world, it has been reported that there are more than 180 lands of chemical constituents in Rhubarb, more than 120 kinds of them with clear structure and more than 30 kinds with clear pharmacology. The biological activities of Rhubarb include: the purgative activities, the analgesic effects, the antibacterial effects, the anti-tumor activity and the anti-oxidant activity.In the second chapter of the present study, near-infrared spectroscopy (NIRS) and artificial neural networks were used for quantitative prediction of the four active constituents in rhubarb: Anthraquinones, Anthraquinone glucosides, Stilbene glucosides, Tannins and related compounds. The near infrared spectra of the samples were acquired in 1100-2500nm from powdered rhubarb samples. Four calibration models using radial basis function neural networks (RBFNN) were set up to correlate the spectra with the values determined by HPLC. RMSECVs of the models for the constituents studied were 2.572, 0.442, 2.794 and 9.438, respectively. RMSEPs were 4.598, 8.657, 0.4586 and 5.106, respectively. The method is fast and the satisfactory results were obtained. The proposed method can be used for determining the active constituents in Chinese herbal medicine.In the third chapter, the HPLC-FPC method was applied for the analysis of 108...