Modeling of second-order spectrophotometric data generated by a pH-gradient flow injection technique for the determination of doxorubicin in human plasma

ALCARAZ, MIRTA RAQUEL; SCHENONE, AGUSTINA; CULZONI, MARÍA JULIA; GOICOECHEA, HÉCTOR

MICROCHEMICAL JOURNAL

ELSEVIER SCIENCE BV

Lugar: Amsterdam; Año: 2014 vol. 112 p. 25 - 33

0026-265X

This paper presents 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 the overlapping spectrum of rifampicin in plasma samples. Analyte determination was performed on the basis of the differences between the acid?base and spectral features of its species and the interferent. Overlapped profiles among the analyte and the matrix interferences were mathematically solved by data modeling with the well-known extended MCR-ALS algorithm. Simple sample pre-treatment consists in the addition of trichloroacetic acid followed by centrifugation. The method was applied to resolve validation mixtures of human plasma spiked with the analyte. Acceptable analytical figures of merit were obtained: recoveries between 96 to 109%, coefficient of variations between 5.5% and 8.6%, and limits of detection and quantification of 0.25 and 0.76 µg L?1, respectively