Terahertz Spectra Identification of Biomolecules Based on PCA and Fuzzy Recognition

Abstract

Abstract: A method to identify terahertz (THz) spectra of biomolecules is proposed based on principal component analysis (PCA) and fuzzy pattern recognition in this paper, and THz spectra of several typical saccharide and amino acid biomolecules are used to verify its effectiveness and feasibility. First, PCA is used to decrease the dimensionality of original THz spectra variables and extract data features. Second, instead of the initial THz spectra variables the selected principal component score matrix is input into the model of fuzzy pattern recognition, fuzzy recognition based on principle of fuzzy closeness optimization is employed successfully to identify these samples. The results show that the method to identify biomolecules is feasible which combines PCA and fuzzy pattern recognition based on their THz spectra. The presented method offers a new effective approach in the field of biomolecules detection by using THz spectroscopy.

Key words: Fuzzy pattern recognition

CLC Number:

O433.4
TH74

Chen Tao. Terahertz Spectra Identification of Biomolecules Based on PCA and Fuzzy Recognition[J]. J4, 2016, 33(4): 392-398.

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