Simultaneous quantitative detection of tetracyclines derivatives by raman spectroscopy

Author

Chen, Xiaoyun ; Liang, Weizi ; Yang, Chunmei ; Lin, Wang ; Bi, Minghai

Author_Institution

Dept. of Biomed. Eng., Tianjin Univ., Tianjin, China

fYear

2012

fDate

2-4 July 2012

Firstpage

111

Lastpage

114

Abstract

Our work was to develop a methodology to qualitatively and quantitatively detect tetracyclines (TCs) derivatives, such as doxycycline (DOTC) and oxytetracycline (OTC). The Raman spectra region of 500-1800 cm^-1 reveals distinctive spectra features of TCs. We applied principal component analysis (PCA) to investigate the antibiotics composition from Raman spectra. The capability of the model was evaluated by partial least square analysis (PLS) with a leave-one-out-cross-validation method. The result shows the feasibility of simultaneous quantitative detection of tetracycline derivatives by portable Raman spectroscopy.

Keywords

Raman spectra; biochemistry; drugs; least squares approximations; molecular biophysics; organic compounds; principal component analysis; PCA; antibiotics composition; doxycycline; leave one out cross validation method; oxytetracycline; partial least square analysis; portable Raman spectroscopy; principal component analysis; simultaneous quantitative detection; tetracycline derivatives; Antibiotics; Chemicals; Immune system; Microorganisms; Predictive models; Principal component analysis; Raman scattering; doxycyclin (DOTC); oxytetracycline (OTC); tetracyclines (TCs);

fLanguage

English

Publisher

ieee

Conference_Titel

Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012 IEEE International Conference on

Conference_Location

Tianjin

ISSN

1944-9429

Print_ISBN

978-1-4577-1758-1

Type

conf

DOI

10.1109/VECIMS.2012.6273220

Filename

6273220