INVESTIGADORES
CULZONI Maria Julia
artículos
Título:
Modeling of second-order spectrophotometric data generated by a pH-gradient flow injection technique for the determination of doxorubicin in human plasma.
Autor/es:
M.R. ALCARÁZ; A.V. SCHENONE; M. J. CULZONI; H. C. GOICOECHEA
Revista:
MICROCHEMICAL JOURNAL
Editorial:
ELSEVIER SCIENCE BV
Referencias:
Lugar: Amsterdam; Año: 2014 p. 25 - 33
ISSN:
0026-265X
Resumen:
In this paper,
the development of a pH-gradient flow-injection method with diode-array
spectrophotometric detection combined with extended multivariate curve
resolution-alternating least-squares (MCR-ALS) to quantitate doxorubicin in the
presence of rifampicin in plasma samples is presented.
Quantitation of doxorubicin was based on acid-base and spectral differences
between its species and those for the interference. Overlapped profiles among
the analyte and the interference were mathematically solved by data modeling
with the well-known extended MCR-ALS algorithm.
The method, which involves a simple sample pretreatment consisting in the
addition of trichloroacetic acid followed by centrifugation, was applied to
resolve validation mixtures composed of human plasma spiked with doxorubicin.
Acceptable analytical figures of merit were obtained, i.e. recoveries from 96
to 107%, coefficients of variation between 0.2% and 7.8%, and limits of
detection and quantification of 0.77 and 2.32 μg L-1, respectively.