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Application of Wavelet Analysis and Chemometrics Methods in Analyzing Traditional Chinese Medicine
Author: ZhuLiFeng
Tutor: ChengYiYu;WuYongJiang
School: Zhejiang University
Course: Chemical Engineering
Keywords: Chemometrics Wavelet Analysis Multivariate calibration Multivariate curve resolution Chinese Pattern Recognition
CLC: TQ460.72
Type: Master's thesis
Year: 2002
Downloads: 323
Quote: 0
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Abstract
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In this paper, first introduction part stoichiometry major components (multivariate calibration and multivariate resolution) were reviewed, the system described in this discipline at home and abroad present situation and development trend; followed by the modernization of Chinese medicine combined with the current needs, chemometrics analytical chemistry in medicine for a brief overview of the application; Finally, the current rapid development of wavelet techniques are introduced. This combined with the current rapid development of wavelet analysis techniques and chemometric original algorithm, trying to develop a class can be used to analyze complex systems of excellent medicine algorithms. Such algorithm is applicable to a wide range, can be used in various analytical instruments and without the analysis of different objects. Processed data objects include ultraviolet spectrophotometry from the ordinary high-dimensional data to complex data, such as HPLC-DAD chromatographic data. In this paper, wavelet analysis technique in chemometrics in the hot areas such as multivariate calibration curve resolution and chemical pattern recognition applications in areas such as extensive exploratory research. The purpose of such algorithms is to fully utilize the capacity of existing analytical instruments to reduce the separation of complex analytical system needs, not separated or isolated conditions to achieve a lower target analyte determination. The main contents include: multivariate calibration parts: the systematic exploration of the wavelet analysis of various excellent filtering method based on multivariate calibration application. Proposed a variety based on wavelet analysis chemometric methods, such as multi-resolution wavelet principal component analysis, thresholding wavelet principal component analysis, principal component analysis wavelet maximum module and wavelet packet principal component analysis. And to provide such methods and unconventional combination of optimization methods, such as artificial neural networks (self-organizing network), genetic algorithm, for wavelength point selection, optimization, and to find the optimal wavelet wavelet coefficients set. Multivariate curve resolution parts: a detailed comparison of multi-resolution analysis of local factors in the ability of a variety of criteria. Wavelet analysis and the introduction of mobile window factor analysis, development of wavelet window factor analysis method, wavelet window target factor analysis. Propose a new peak purity test method (ratio of the target feature method) compared with the traditional method, and provides a use of overlapped peaks resolved instance. TCM pattern recognition parts: the introduction of chemical pattern recognition wavelet analysis, the wavelet multi-resolution capability combined with fractal theory, from different manufacturers and different conditions of Chinese medicine injection products for pattern recognition, could be used for production quality control or different manufacturers Product Categories.
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CLC: > Industrial Technology > Chemical Industry > Pharmaceutical chemical industry > General issues > Product testing and analysis and identification > Drug analysis , drug identification
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