Document Detail


Identification of biomolecules by terahertz spectroscopy and fuzzy pattern recognition.
MedLine Citation:
PMID:  23357678     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
An approach for automatic identification of terahertz (THz) spectra of biomolecules is proposed based on principal component analysis (PCA) and fuzzy pattern recognition in this paper, and THz transmittance spectra of some typical amino acid and saccharide biomolecular samples are investigated to prove its feasibility. Firstly, PCA is applied to reduce the dimensionality of the original spectrum data and extract features of the data. Secondly, instead of the original spectrum variables, the selected principal component scores matrix is fed into the model of fuzzy pattern recognition, where a principle of fuzzy closeness based optimization is employed to identify those samples. Results demonstrate that THz spectroscopy combined with PCA and fuzzy pattern recognition can be efficiently utilized for automatic identification of biomolecules. The proposed approach provides a new effective method in the detection and identification of biomolecules using THz spectroscopy.
Authors:
Tao Chen; Zhi Li; Wei Mo
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-10
Journal Detail:
Title:  Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy     Volume:  106C     ISSN:  1873-3557     ISO Abbreviation:  Spectrochim Acta A Mol Biomol Spectrosc     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-29     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9602533     Medline TA:  Spectrochim Acta A Mol Biomol Spectrosc     Country:  -    
Other Details:
Languages:  ENG     Pagination:  48-53     Citation Subset:  -    
Copyright Information:
Copyright © 2013 Elsevier B.V. All rights reserved.
Affiliation:
School of Mechano-Electronic Engineering, Xidian University, Xi'an, Shanxi 710071, China.
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