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 1907-15Subject Categories (SSIF 2011)
Other Basic Medicine
PubMed
11506043