Liquid chromatography with diode array detection and multivariate curve resolution for the selective and sensitive quantification of estrogens in natural waters.

Following the green analytical chemistry principles, an efficient strategy involving second-order data provided by liquid chromatography (LC) with diode array detection (DAD) was applied for the simultaneous determination of estriol, 17β-estradiol, 17α-ethinylestradiol and estrone in natural water s...

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Detalles Bibliográficos
Autores principales: Pérez, Rocío Laura, Escandar, Graciela Mónica
Lenguaje:Inglés
Publicado: Elsevier 2018
Materias:
Acceso en línea:http://hdl.handle.net/2133/11453
http://hdl.handle.net/2133/11453
Aporte de:
id I15-R121-2133-11453
record_format dspace
institution Universidad Nacional de Rosario
institution_str I-15
repository_str R-121
collection Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR)
language Inglés
orig_language_str_mv eng
topic Estrogens
Liquid Chromatography
Diode Array Detection
Multivariate Curve Resolution
Natural Waters
spellingShingle Estrogens
Liquid Chromatography
Diode Array Detection
Multivariate Curve Resolution
Natural Waters
Pérez, Rocío Laura
Escandar, Graciela Mónica
Liquid chromatography with diode array detection and multivariate curve resolution for the selective and sensitive quantification of estrogens in natural waters.
topic_facet Estrogens
Liquid Chromatography
Diode Array Detection
Multivariate Curve Resolution
Natural Waters
description Following the green analytical chemistry principles, an efficient strategy involving second-order data provided by liquid chromatography (LC) with diode array detection (DAD) was applied for the simultaneous determination of estriol, 17β-estradiol, 17α-ethinylestradiol and estrone in natural water samples. After a simple pre-concentration step, LC-DAD matrix data were rapidly obtained (in less than 5 min) with a chromatographic system operating isocratically. Applying a second-order calibration algorithm based on multivariate curve resolution with alternating least-squares (MCR-ALS), successful resolution was achieved in the presence of sample constituents that strongly coelute with the analytes. The flexibility of this multivariate model allowed the quantification of the four estrogens in tap, mineral, underground and river water samples. Limits of detection in the range between 3 and 13 ng L−1, and relative prediction errors from 2 to 11% were achieved.
author Pérez, Rocío Laura
Escandar, Graciela Mónica
author_facet Pérez, Rocío Laura
Escandar, Graciela Mónica
author_sort Pérez, Rocío Laura
title Liquid chromatography with diode array detection and multivariate curve resolution for the selective and sensitive quantification of estrogens in natural waters.
title_short Liquid chromatography with diode array detection and multivariate curve resolution for the selective and sensitive quantification of estrogens in natural waters.
title_full Liquid chromatography with diode array detection and multivariate curve resolution for the selective and sensitive quantification of estrogens in natural waters.
title_fullStr Liquid chromatography with diode array detection and multivariate curve resolution for the selective and sensitive quantification of estrogens in natural waters.
title_full_unstemmed Liquid chromatography with diode array detection and multivariate curve resolution for the selective and sensitive quantification of estrogens in natural waters.
title_sort liquid chromatography with diode array detection and multivariate curve resolution for the selective and sensitive quantification of estrogens in natural waters.
publisher Elsevier
publishDate 2018
url http://hdl.handle.net/2133/11453
http://hdl.handle.net/2133/11453
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AT escandargracielamonica liquidchromatographywithdiodearraydetectionandmultivariatecurveresolutionfortheselectiveandsensitivequantificationofestrogensinnaturalwaters
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