Advantages of Data Fusion: First Multivariate Curve Resolution Analysis of Fused Liquid Chromatographic Second-Order Data with Dual Diode Array-Fluorescent Detection
Autor: | Graciela M. Escandar, Gabriela A. Ibañez, Rocio Pellegrino Vidal |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Analyte
Multivariate statistics Analytical chemistry 02 engineering and technology 01 natural sciences Analytical Chemistry CHEMOMETRICS purl.org/becyt/ford/1 [https] Matrix (mathematics) purl.org/becyt/ford/1.4 [https] Detection limit Fusion HPLC-DAD-FLD Chromatography Chemistry Otras Ciencias Químicas 010401 analytical chemistry Detector Ciencias Químicas 021001 nanoscience & nanotechnology Sensor fusion Fluorescence 0104 chemical sciences MCR-ALS SECOND-ORDER DATA FUSION 0210 nano-technology CIENCIAS NATURALES Y EXACTAS |
Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET |
DOI: | 10.1021/acs.analchem.6b04720 |
Popis: | For the first time, liquid chromatography-diode array detection (LC-DAD) and liquid-chromatography fluorescence detection (LC-FLD) second-order data, collected in a single chromatographic run, were fused and chemometrically processed for the quantitation of coeluting analytes. Two different experimental mixtures composed of fluorescent and nonfluorescent endocrine disruptors were analyzed. Adequate pretreatment of the matrices before their fusion was crucial to attain reliable results. Multivariate curve resolution-alternating least-squares (MCR-ALS) was applied to LC-DAD, LC-FLD, and fused LC-DAD-FLD data. Although different degrees of improvement are observed when comparing the fused matrix results in relation to those obtained using a single detector, clear benefits of data fusion are demonstrated through: (1) the obtained limits of detection in the ranges 2.1-24 ng mL-1 and 0.9-6.3 ng mL-1 for the two evaluated systems and (2) the low relative prediction errors, below 7% in all cases, indicating good recoveries and precision. The feasibility of fusing data and its advantages in the analysis of real samples was successfully assessed through the study of spiked tap, underground, and river water samples. Fil: Pellegrino Vidal, Rocio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina Fil: Ibañez, Gabriela Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina Fil: Escandar, Graciela Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina |
Databáze: | OpenAIRE |
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