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...
Autores principales: | , |
---|---|
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 |
work_keys_str_mv |
AT perezrociolaura liquidchromatographywithdiodearraydetectionandmultivariatecurveresolutionfortheselectiveandsensitivequantificationofestrogensinnaturalwaters AT escandargracielamonica liquidchromatographywithdiodearraydetectionandmultivariatecurveresolutionfortheselectiveandsensitivequantificationofestrogensinnaturalwaters |
bdutipo_str |
Repositorios |
_version_ |
1764820410030882818 |