Interference-Free Analysis Using Three-Way Fluorescence Data and the Parallel Factor Model. Determination of Fluoroquinolone Antibiotics in Human Serum
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- 作者：Arsenio Muñ ; oz de la Peñ ; a ; Anunciació ; n Espinosa Mansilla ; David Gonzá ; lez Gó ; mez ; Alejandro C. Olivieri ; and Hé ; ctor C. Goicoechea
- 刊名：Analytical Chemistry
- 出版年：2003
- 出版时间：June 1, 2003
- 年：2003
- 卷：75
- 期：11
- 页码：2640 - 2646
- 全文大小：169K
- 年卷期：v.75,no.11(June 1, 2003)
- ISSN：1520-6882
文摘
Three-way fluorescence data and multivariate calibrationbased on parallel factor analysis (PARAFAC) are combined for the simultaneous quantitation of three fluoroquinolone anitibiotics (norfloxacin, enoxacin, and ofloxacin) in human serum samples. The three analytes canbe adequately determined with limits of detection of 0.2,3.0, and 0.5 
g L-1, respectively, with minimum experimental effort. The selected analytical methodology fullyexploits the so-called second-order advantage of theemployed three-way data, allowing obtaining individualconcentrations of calibrated analytes in the presence ofany number of uncalibrated (serum) components. Incontrast to PARAFAC, less satisfactory results wereobtained with a multidimensional partial least-squares(nPLS) model trained with the same calibration set.
g L-1, respectively, with minimum experimental effort. The selected analytical methodology fullyexploits the so-called second-order advantage of theemployed three-way data, allowing obtaining individualconcentrations of calibrated analytes in the presence ofany number of uncalibrated (serum) components. Incontrast to PARAFAC, less satisfactory results wereobtained with a multidimensional partial least-squares(nPLS) model trained with the same calibration set.