Total synchronous fluorescence spectroscopic data modeled with first- and second-order algorithms for the determination of doxorubicin in human plasma

    Authors

    A. V. Schenone; M. J. Culzoni; A. D. Campiglia;H. C. Goicoechea

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Anal. Bioanal. Chem.

    Keywords

    Total synchronous fluorescence spectroscopy; MCR-ALS; UPLS/RBL; Doxorubicin; MULTIVARIATE CURVE RESOLUTION; TRILINEAR DECOMPOSITION ALGORITHM; ALTERNATING LEAST-SQUARES; EMISSION MATRIX FLUORESCENCE; TANDEM; MASS-SPECTROMETRY; QUANTITATIVE-ANALYSIS; AROMATIC-HYDROCARBONS; ANTICANCER DRUGS; MCR-ALS; CALIBRATION; Biochemical Research Methods; Chemistry, Analytical

    Abstract

    In this work, we present the development of a method for the determination of doxorubicin in plasma samples in the presence of an unexpected component (riboflavin) by using total synchronous fluorescence spectroscopic data matrices. To the best of our knowledge, this is the first time that the second-order advantage is obtained with this kind of data. Two strategies including unfolding the data and: (a) processing with multivariate curve resolution coupled to alternating least-squares as first-order data or (b) processing with unfolded partial least-squares and exploiting the second-order advantage by the residual bilinearization procedure were considered. The calibration set was built with human plasma samples spiked with doxorubicin, while the validation set was prepared with human plasma samples spiked with both doxorubicin and riboflavin, a drug whose spectrum highly overlaps with the one corresponding to doxorubicin. Both methodologies reached good indicators of accuracy: recoveries of ca. 100 +/- 8 % and REP of ca. 5 %; and precision: coefficient of variations between 7 and 9 %.

    Journal Title

    Analytical and Bioanalytical Chemistry

    Volume

    405

    Issue/Number

    26

    Publication Date

    1-1-2013

    Document Type

    Article

    Language

    English

    First Page

    8515

    Last Page

    8523

    WOS Identifier

    WOS:000325114900012

    ISSN

    1618-2642

    Share

    COinS