A green-analytical chemistry method for agrochemical-residue analysis in vegetables

Ten agrochemicals, including fungicides, insecticides, herbicides and a plant growth regulator, were quantified at part per billion levels in complex matrices using a green-analytical chemistry (GAC) method. Liquid chromatography with dual UV/diode array (DAD) and fluorescence (FLD) detections was c...

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Detalles Bibliográficos
Autores principales: Carabajal, Maira Daniela, Arancibia, Juan Alberto, Escandar, Graciela Mónica
Lenguaje:Inglés
Publicado: Elsevier 2019
Materias:
UV-fluorescence-liquid chromatography
Second-order calibration
Agrochemicals
Vegetables samples
Acceso en línea:http://hdl.handle.net/2133/13888
http://hdl.handle.net/2133/13888
Aporte de:
Aportado por : Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR) de Universidad Nacional de Rosario .
id I15-R121-2133-13888
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spelling I15-R121-2133-138882019-02-05T13:13:58Z A green-analytical chemistry method for agrochemical-residue analysis in vegetables Carabajal, Maira Daniela Arancibia, Juan Alberto Escandar, Graciela Mónica UV-fluorescence-liquid chromatography Second-order calibration Agrochemicals Vegetables samples Ten agrochemicals, including fungicides, insecticides, herbicides and a plant growth regulator, were quantified at part per billion levels in complex matrices using a green-analytical chemistry (GAC) method. Liquid chromatography with dual UV/diode array (DAD) and fluorescence (FLD) detections was carried out in a single run, and the second-order DAD-elution time and FLD-elution time data obtained were treated with MCR-ALS (multivariate curve resolution/alternating least-squares) algorithm. In this way, while analytes are measured through their more appropriate (absorbance and/or fluorescence) signals, chemometric treatment of the corresponding matrices allows the resolution of total or partial overlapped bands, and to overcome the presence of interferences in real samples. In this work, FLD-elution time second-order data were obtained for the first time at two excitation wavelengths, improving the sensitivity of fluorescent analytes. The approach was successfully applied to in land cultivated vegetables, including mushroom, lettuce, alfalfa sprout, cucumber, and celery. Fil: Carabajal, Maira Daniela. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario (IQUIR-CONICET); Argentina. Fil: Arancibia, Juan Alberto. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario (IQUIR-CONICET); Argentina. Fil: Escandar, Graciela Mónica. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario (IQUIR-CONICET); Argentina. 2019-02-05T12:51:10Z 2019-02-05T12:51:10Z 2016-09 2019-02-05T12:51:10Z 2019-02-05T12:51:10Z 2016-09 0026-265X http://hdl.handle.net/2133/13888 http://hdl.handle.net/2133/13888 eng https://www.sciencedirect.com/science/article/pii/S0026265X16300030?via%3Dihub http://dx.doi.org/10.1016/j.microc.2016.03.006 https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es Carabajal, Maira Daniela Arancibia, Juan Alberto Escandar, Graciela Mónica Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Elsevier Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) openAccess application/pdf Elsevier
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 UV-fluorescence-liquid chromatography
Second-order calibration
Agrochemicals
Vegetables samples
spellingShingle UV-fluorescence-liquid chromatography
Second-order calibration
Agrochemicals
Vegetables samples
Carabajal, Maira Daniela
Arancibia, Juan Alberto
Escandar, Graciela Mónica
A green-analytical chemistry method for agrochemical-residue analysis in vegetables
topic_facet UV-fluorescence-liquid chromatography
Second-order calibration
Agrochemicals
Vegetables samples
description Ten agrochemicals, including fungicides, insecticides, herbicides and a plant growth regulator, were quantified at part per billion levels in complex matrices using a green-analytical chemistry (GAC) method. Liquid chromatography with dual UV/diode array (DAD) and fluorescence (FLD) detections was carried out in a single run, and the second-order DAD-elution time and FLD-elution time data obtained were treated with MCR-ALS (multivariate curve resolution/alternating least-squares) algorithm. In this way, while analytes are measured through their more appropriate (absorbance and/or fluorescence) signals, chemometric treatment of the corresponding matrices allows the resolution of total or partial overlapped bands, and to overcome the presence of interferences in real samples. In this work, FLD-elution time second-order data were obtained for the first time at two excitation wavelengths, improving the sensitivity of fluorescent analytes. The approach was successfully applied to in land cultivated vegetables, including mushroom, lettuce, alfalfa sprout, cucumber, and celery.
author Carabajal, Maira Daniela
Arancibia, Juan Alberto
Escandar, Graciela Mónica
author_facet Carabajal, Maira Daniela
Arancibia, Juan Alberto
Escandar, Graciela Mónica
author_sort Carabajal, Maira Daniela
title A green-analytical chemistry method for agrochemical-residue analysis in vegetables
title_short A green-analytical chemistry method for agrochemical-residue analysis in vegetables
title_full A green-analytical chemistry method for agrochemical-residue analysis in vegetables
title_fullStr A green-analytical chemistry method for agrochemical-residue analysis in vegetables
title_full_unstemmed A green-analytical chemistry method for agrochemical-residue analysis in vegetables
title_sort green-analytical chemistry method for agrochemical-residue analysis in vegetables
publisher Elsevier
publishDate 2019
url http://hdl.handle.net/2133/13888
http://hdl.handle.net/2133/13888
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AT escandargracielamonica agreenanalyticalchemistrymethodforagrochemicalresidueanalysisinvegetables
AT carabajalmairadaniela greenanalyticalchemistrymethodforagrochemicalresidueanalysisinvegetables
AT arancibiajuanalberto greenanalyticalchemistrymethodforagrochemicalresidueanalysisinvegetables
AT escandargracielamonica greenanalyticalchemistrymethodforagrochemicalresidueanalysisinvegetables
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