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