Development of a reversed-phase ion-pairing liquid chromatographic assay of daunorubicin for pharmacopoeial use

Miller, John H.; Pascal, C.; Tissieres, Marie

doi:10.1016/s0021-9673(01)94279-7

Cited by 5 publications

(1 citation statement)

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“…1 It is thus important for determining DNR in human plasma and urine. Various instrumental methods, such as polarography, 2 high-performance liquid chromatography, [3][4][5] the enzymatic immunological method, 6 voltammetry, 7 capillary electrophoresis, 8,9 and electrospray ionization mass spectrometry 10 have been reported for DNR determination in biological fluids and in dosage forms. However, these methods are either troublesome or time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Determination of Daunomycin in Human Plasma and Urine by Using an Interference-free Analysis of Excitation-Emission Matrix Fluorescence Data with Second-Order Calibration

et al. 2006

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IntroductionDaunorubicin (DNR), discovered in the early 1960s, is an anthracycline antibiotic with antiblastic and anticancer activity, which is linked by the formation of intercalative complexes with DNA and the inhibition of both DNA and RNA synthesis. Although it still remains an important component for many current chemotherapy protocols of acute and myelogenous leukemia, cardiotoxicity is a serious problem, especially in the case of overdoses.1 It is thus important for determining DNR in human plasma and urine. Various instrumental methods, such as polarography, 2 high-performance liquid chromatography, 3-5 the enzymatic immunological method, 6 voltammetry, 7 capillary electrophoresis, 8,9 and electrospray ionization mass spectrometry 10 have been reported for DNR determination in biological fluids and in dosage forms. However, these methods are either troublesome or time-consuming.With the development of modern analytical instrumentation that generate a multidimensional data array for each sample, multiway data arrays have been prominently useful for the quantitative analysis of complex multicomponent samples. Particularly, three-way data arrays following the trilinear model, such as excitation-emission fluorescence matrices, have been gaining widespread analytical acceptance. 11Although, interestingly, there are many models for three-way data arrays, only the PARAFAC model ensures uniqueness in a straightforward way. 12In addition, the decomposition of a three-way data array built with response matrices measured for many samples is often unique, allowing relative concentrations and spectral profiles of individual sample components to be extracted directly. That is, the analysis of several components of interest can be quantified even in the presence of unknown interferents, commonly called the "second-order advantage". 13,14The different multiway methods used to resolve multicomponent mixtures belong to three main groups. The first group is direct solution. It is to resolve the data arrays by utilizing an eigenanalysis-based procedure, which typically works well when the signal-to-noise ratio is high. The generalized rank annihilation method (GRAM) 15-17 and the direct trilinear decomposition (DTLD) method 18-20 are wellknown examples. Unfortunately, GRAM is constrained to use only one standard and one mixture sample at a time. Although the DTLD method takes into account a direct solution through multiple samples, it is required to construct two pseudosamples, which unavoidably results in the loss of information in multiple samples. In addition, these methods may occasionally produce imaginary solutions and exhibit inflated variance. The second main group includes least-squares methods. Bilinear least squares (BLLS) is a recently introduced technique, based on a direct least-squares procedure. 21,22 The third main group is an iterative one. 12,23-40 Iterative algorithms have been widely employed. The PARAFAC algorithm proposed by Harshman 34 is a representative method of the third group. These have succ...

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