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Artículo

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

Carabajal, Maira DanielaIcon ; Arancibia, Juan AlbertoIcon ; Escandar, Graciela MonicaIcon
Fecha de publicación: 09/2016
Editorial: Elsevier Science
Revista: Microchemical Journal
ISSN: 0026-265X
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Químicas

Resumen

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.
Palabras clave: Agrochemicals , Second-Order Calibration , Uv-Fluorescence-Liquid Chromatography , Vegetables Samples
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/52652
DOI: https://dx.doi.org/10.1016/j.microc.2016.03.006
URL: https://www.sciencedirect.com/science/article/pii/S0026265X16300030
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Articulos de INST.DE QUIMICA ROSARIO
Citación
Carabajal, Maira Daniela; Arancibia, Juan Alberto; Escandar, Graciela Monica; A green-analytical chemistry method for agrochemical-residue analysis in vegetables; Elsevier Science; Microchemical Journal; 128; 9-2016; 34-41
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