Ultrafast quantitation of six quinolones in water samples by second-order capillary electrophoresis data modeling with multivariate curve resolution–alternating least squares

• Published in: Analytical and bioanalytical chemistry Vol. 406; no. 11; pp. 2571 - 2580
• Main Authors: Alcaráz, Mirta R., Vera-Candioti, Luciana, Culzoni, María J., Goicoechea, Héctor C.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2014; Springer; Springer Nature B.V
• Subjects: Algorithms; Analytical Chemistry; Arrays; Biochemistry; Capillarity; Capillary electrophoresis; Characterization and Evaluation of Materials; Chemical properties; Chemistry; Chemistry and Materials Science; Composition; Drinking water; Drinking Water - analysis; Drugs; Electrophoresis; Electrophoresis, Capillary - instrumentation; Electrophoresis, Capillary - methods; Food Science; Identification and classification; Laboratory Medicine; Least squares; Least squares method; Least-Squares Analysis; Mathematical analysis; Mathematical models; Methods; Monitoring/Environmental Analysis; Multivariate Analysis; Pharmaceuticals; Quinolones; Quinolones - analysis; Research Paper; Speciation; Spectra; Strategy; Titanium dioxide; Water; Water analysis; Water Pollutants, Chemical - analysis; Water sampling; Water; Capillary electrophoresis; Chemometrics
• ISSN: 1618-2642; 1618-2650
• DOI: 10.1007/s00216-014-7657-3

This paper presents the development of a capillary electrophoresis method with diode array detector coupled to multivariate curve resolution–alternating least squares (MCR-ALS) to conduct the resolution and quantitation of a mixture of six quinolones in the presence of several unexpected components. Overlapping of time profiles between analytes and water matrix interferences were mathematically solved by data modeling with the well-known MCR-ALS algorithm. With the aim of overcoming the drawback originated by two compounds with similar spectra, a special strategy was implemented to model the complete electropherogram instead of dividing the data in the region as usually performed in previous works. The method was first applied to quantitate analytes in standard mixtures which were randomly prepared in ultrapure water. Then, tap water samples spiked with several interferences were analyzed. Recoveries between 76.7 and 125 % and limits of detection between 5 and 18 μg L −1 were achieved.