A test field for the second-order advantage in bilinear least-squares and parallel factor analyses: fluorescence determination of ciprofloxacin in human urine.
The analytical performances of two algorithms, the recently introduced bilinear least-squares (BLLS) and the popular parallel factor analysis (PARAFAC), are compared as regards second-order fluorescence data recorded for the determination of the fluoroquinolone antibiotic ciprofloxacin in human urine samples. The applied chemometric methodologies employ different strategies for exploiting the so-called second-order advantage, which allows one to obtain individual concentrations of calibrated analytes in the presence of any number of uncalibrated (urine) components. Analysis of a spiked urine test set (in the analyte concentration range 0-200 mg L(-1)) showed that BLLS provides results of slightly better quality than PARAFAC. Satisfactory results have been obtained on comparing the concentrations predicted for a series of real urine samples with those furnished by liquid chromatography. The limit of detection of the fluorescence-based methods is approximately 5 mg L(-1).
Damiani
Patricia C
PC
Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario (S2002LRK), Argentina.
Nepote
Alberto J
AJ
Bearzotti
Mariela
M
Olivieri
Alejandro C
AC
D000900:Anti-Bacterial Agents / Q000652:urine*; D002138:Calibration; D002939:Ciprofloxacin / Q000737:chemistry / Q000652:urine*; D005163:Factor Analysis, Statistical; D024841:Fluoroquinolones / Q000737:chemistry; D006801:Humans; D016018:Least-Squares Analysis; D015999:Multivariate Analysis; D013050:Spectrometry, Fluorescence / Q000379:methods*
D000900:Anti-Bacterial Agents; D024841:Fluoroquinolones; D002939:Ciprofloxacin