DocumentCode :
1837145
Title :
Application of Pretreatments in Prediction Models of Raman Spectra
Author :
Chongyang Li ; Wang Lin ; Yangfan Shao ; Yuanming Feng
Author_Institution :
Dept. of Biomed. Eng., Tianjin Univ., Tianjin, China
Volume :
2
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
482
Lastpage :
485
Abstract :
Different kinds of spectral pretreatment methods are studied to quantify cephalosporins mixture solutions using Raman spectra. Variable selections were also performed to obtain better accuracy. The results demonstrate that suitable preprocessing method can substantially improve the prediction performance.
Keywords :
Raman spectroscopy; drugs; mixtures; organic compounds; patient treatment; Raman spectra; cephalosporin mixture solutions; prediction models; prediction performance; preprocessing method; spectral pretreatment methods; Antibiotics; Correlation coefficient; Data models; Input variables; Predictive models; Raman scattering; Spectroscopy; PLS; Raman spectroscopy; cephalosporins; preprocesss; quantitative;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.262
Filename :
6642790
Link To Document :
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