Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.contributor | Department of Applied Mathematics | en_US |
| dc.creator | Wong, Siu-kay | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/1506 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | A study of qualitative and quantitative component analysis for Chinese proprietary medicines | en_US |
| dcterms.abstract | It is well known that traditional Chinese medicines have been used for over 5000 years. For convenience, more and more traditional Chinese medicines are now being manufactured and sold in the form of proprietary medicines recently. According to the information from the Department of Health, there are about 4000 types of Chinese proprietary medicines available in local markets. Over 80% of them are manufactured in the Mainland China. In order to implement regulatory control of these proprietary medicines, component analysis are required. However, component analysis of proprietary medicines is a challenging task and may involve complicated analytical procedures. In this project, a simple chromatographic pattern recognition technique was developed for the qualitative and quantitative component analysis of Chinese proprietary medicines. As a result, the ingredient herbs can be identified and their respective quantity in the medicinal samples can be estimated based on the chromatographic data of the Chinese proprietary medicines. Hence, a rapid and simple component analysis can be conducted without using complicated analytical procedures. A typical chromatogram consists of a profile of peaks characterized with retention times and respective peak areas. In the pattern recognition process, characteristic peaks of target herbs were compared with peaks of the sample chromatogram one by one. The relative peak area percent of those matched characteristic peaks were added up to give a matching factor. This factor was then used as a similarity index for the pattern recognition process in the study. At here, no advanced theory or complicated mathematical manipulation are involved as with other mathematical techniques such as factor analysis, numerical analysis, orthogonal projection, stepwise regression, Simplex optimization and neural network. These techniques had been reported for the determination of constituent components and their concentrations in a mixture based on chromatographic data. Moreover, a weighted least square optimization technique was introduced to estimate the quantity of the target herbs in the samples. Finally, the results of the proposed pattern recognition technique were compared with results obtained by other techniques including cluster analysis, SISCOM and ASES/MS pattern searching algorithms. The results indicated that the proposed matching factor method was much better and the mathematics involved was the simplest. | en_US |
| dcterms.extent | iv, 74 leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 1999 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Medicine, Chinese | en_US |
| dcterms.LCSH | Herbs -- Therapeutic use | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b14637066.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.54 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/1506