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Multivariate evaluation of doxorubicin surface-enhanced Raman spectra.

C Eliasson1, A Lorén, K V Murty

  • 1Department of Analytical and Marine Chemistry, Chalmers University of Technology, Göteborg, Sweden.

Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|August 17, 2001
PubMed
Summary
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Surface-enhanced Raman spectroscopy (SERS) shows potential for quantifying doxorubicin in plasma. Measurements were robust across different conditions, indicating feasibility for direct plasma analysis with further optimization.

Area of Science:

  • Analytical Chemistry
  • Biomedical Spectroscopy
  • Pharmacokinetics

Background:

  • Accurate quantification of chemotherapeutic agents like doxorubicin in biological matrices is crucial for effective treatment monitoring.
  • Surface-enhanced Raman scattering (SERS) offers high sensitivity for molecular detection but requires validation in complex matrices like plasma.
  • Principal Component Analysis (PCA) is a powerful tool for analyzing complex spectral data and identifying key sources of variation.

Purpose of the Study:

  • To evaluate the multivariate analysis of surface-enhanced Raman spectra of doxorubicin in human plasma.
  • To assess the influence of plasma matrix effects and experimental variability on SERS measurements of doxorubicin.
  • To determine the feasibility of direct quantification of doxorubicin in plasma using SERS.

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Main Methods:

  • Multivariate statistical analysis, specifically Principal Component Analysis (PCA), was applied to SERS spectra of doxorubicin in plasma.
  • Spectral features were modeled into principal components to identify major sources of data variation.
  • SERS measurements were assessed for independence from factors such as measurement occasion and silver colloid batches.

Main Results:

  • PCA revealed that the primary variation in the spectral data was attributed to the doxorubicin Raman signal and its fluorescence.
  • Variations arising from the plasma matrix itself were found to be of minor importance.
  • SERS measurements demonstrated independence from variations in measurement occasion and silver colloid properties.

Conclusions:

  • SERS, combined with multivariate analysis, effectively distinguishes doxorubicin signals from plasma background noise.
  • The robustness of SERS measurements suggests suitability for direct analysis in biological fluids.
  • With further methodological improvements, SERS holds significant promise for the direct quantification of doxorubicin in plasma.