Your browser doesn't support javascript.
loading
Analysis of glyphosate and aminomethylphosphonic acid in leaves from Coffea arabica using high performance liquid chromatography with quadrupole mass spectrometry detection.
Schrübbers, Lars C; Masís-Mora, Mario; Rojas, Elizabeth Carazo; Valverde, Bernal E; Christensen, Jan H; Cedergreen, Nina.
Afiliación
  • Schrübbers LC; Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Frederiksberg C, Denmark. Electronic address: schruebbers@plen.ku.dk.
  • Masís-Mora M; Centro de Investigación en Contaminación Ambiental, Universidad de Costa Rica, San José, Costa Rica.
  • Rojas EC; Centro de Investigación en Contaminación Ambiental, Universidad de Costa Rica, San José, Costa Rica.
  • Valverde BE; Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Frederiksberg C, Denmark; Investigación y Desarrollo en Agricultura Tropical S.A. (IDEA Tropical), Alajuela, Costa Rica.
  • Christensen JH; Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Frederiksberg C, Denmark.
  • Cedergreen N; Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Frederiksberg C, Denmark.
Talanta ; 146: 609-20, 2016 Jan 01.
Article en En | MEDLINE | ID: mdl-26695310
ABSTRACT
Glyphosate is a commonly applied herbicide in coffee plantations. Because of its non-selective mode of action it can damage the crop exposed through spray drift. Therefore, it is of interest to study glyphosate fate in coffee plants. The aim of this study was to develop an analytical method for accurate and precise quantification of glyphosate and its main metabolite aminomethylphosphonic acid (AMPA) at trace levels in coffee leaves using liquid chromatography with single-quadrupole mass spectrometry detection. The method is based on a two-step solid phase extraction (SPE) with an intermediate derivatization reaction using 9-fluorenylmethylchloroformate (FMOC). An isotope dilution method was used to account for matrix effects and to enhance the confidence in analyte identification. The limit of quantification (LOQ) for glyphosate and AMPA in coffee leaves was 41 and 111 µg kg(-1) dry weight, respectively. For the method optimization a design of experiments (DOE) approach was used. The sample clean-up procedure can be simplified for the analysis of less challenging matrices, for laboratories having a tandem mass spectrometry detector and for cases in which quantification limits above 0.1 mg kg(-1) are acceptable, which is often the case for glyphosate. The method is robust, possesses high identification confidence, while being suitable for most commercial and academic laboratories. All leaf samples from five coffee fields analyzed (n=21) contained glyphosate, while AMPA was absent. The simplified clean-up procedure was successfully validated for coffee leaves, rice, black beans and river water.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría de Masas / Cromatografía Líquida de Alta Presión / Hojas de la Planta / Coffea / Organofosfonatos / Glicina Tipo de estudio: Diagnostic_studies Idioma: En Revista: Talanta Año: 2016 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría de Masas / Cromatografía Líquida de Alta Presión / Hojas de la Planta / Coffea / Organofosfonatos / Glicina Tipo de estudio: Diagnostic_studies Idioma: En Revista: Talanta Año: 2016 Tipo del documento: Article
...