Multivariate evaluation of doxorubicin surface-enhanced Raman spectra.
Journal article, 2001

Multivariate evaluation of surface-enhanced Raman spectra of doxorubicin in plasma was performed. In a principal component analysis (PCA) all spectral features were modelled into three principal components. The major variation of the data was shown to be the variation of doxorubicin Raman signal together with the doxorubicin fluorescence, whereas the variation due to plasma was of minor importance. It was also shown that the surface-enhanced Raman scattering (SERS) measurements were independent on such factors as measurement occasion and silver colloids. The presented results show that with some improvements, quantification of doxorubicin directly in plasma could be possible.

Multivariate Analysis

Antineoplastic

Computer-Assisted

blood

Spectrum Analysis

Raman

Principal Component Analysis

chemistry

blood

Signal Processing

chemistry

Doxorubicin

chemistry

Cattle

Plasma

Antibiotics

Animals

Author

Charlotte Eliasson

Chalmers, Department of Chemistry and Bioscience

Anders Lorén

Chalmers, Department of Chemistry and Bioscience, Analytical and Marine Chemistry

K V Murty

M Josefson

Mikael Käll

University of Gothenburg

Jonas Abrahamsson

University of Gothenburg

Katarina Abrahamsson

University of Gothenburg

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

1386-1425 (ISSN)

Vol. 57 9 1907-15

Subject Categories

Other Basic Medicine

PubMed

11506043

More information

Created

10/7/2017