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Studies On Applications Of Near-infrared Spectroscopy In Process Analysis For Pueraria Lobata Ohwi Extract Production

Posted on:2008-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y QiFull Text:PDF
GTID:2121360242975762Subject:Drug Analysis
Abstract/Summary:PDF Full Text Request
The modernization of Traditional Chinese Medicine (TCM) is blocked by the poor consistence and instability of its products. One of the main reasons is the absences of fast and efficient analytical methods for manufacture process of TCM. In this thesis, the application of Near-infrared Spectroscopy (NIRs) in TCM manufacturing process had been studied. The main results obtained from the paper are listed as following:1. NIRs technique had been used to on-line measure the content of key compound of Pueraria Lobata Ohwi extracting process, and a partial least square regression (PLSR) model had been developed to measure the content of Puerarin in the extract. The on-line measure results of the proposed model were precisely close to the real content of the key compound. A fast method using NIRs for on-line endpoint determination for Pueraria Lobata Ohwi extraction process was also developed. The result showed the proposed method is fast, accurate, effective and applicable for the extraction process of Pueraria Lobata Ohwi.2. NIRs was used to develop a fast quantitive method of TCM extract concentration. A PLSR model had been proposed to measure the content of general flavone. And satisfying result had been obtained.3. NIRs was used to develop a fast quality assessment method of drying product. Radial Basis Functions (RBF) neural network algorithm and PLSR were proposed to model relation between NIRs and concentration of drying product components. The result showed the method is fast, accurate, effective and applicable for the quality assessment of drying product. Similarity measurement was used as the discriminating parameter. The moisture content of samples was quantified by PLSR calibration models. The result showed the proposed method is accurate, robust and can be used routinely by the TCM manufacturers.As the research shown, the NIRs technique could be applied in on-line quality analysis of TCM manufacturing process, and developed to provide the quality control of TCM with scientific criterion timely.
Keywords/Search Tags:TCM Manufacturing Process, NIRs, Process Analytical Technology, Pueraria Lobata Ohwi, Radial Basis Function Neural Networks
PDF Full Text Request
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