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Qualitative nontarget analysis of landfill leachate using gas chromatography time-of-flight mass spectrometry.
Jernberg, Joonas; Pellinen, Jukka; Rantalainen, Anna-Lea.
  • Jernberg J; Department of Environmental Sciences, University of Helsinki, Niemenkatu 73, Lahti FI-15140, Finland. joonas.nurmi@helsinki.fi
Talanta ; 103: 384-91, 2013 Jan 15.
Article en En | MEDLINE | ID: mdl-23200403
ABSTRACT
Nontarget analysis means that a sample is analysed without preselection of the studied analytes. While target analysis attempts to determine whether certain selected compounds are present in the sample, nontarget analysis is performed to explore what unknown compounds can be found. We developed a nontarget method using a landfill leachate sample as a complex test sample. The method was based on the use of a gas chromatograph-time-of-flight mass spectrometer (GC-TOF-MS) for final analysis and a deconvolution computer application for data processing. This nontarget analysis method was tested and validated by applying it to a landfill leachate sample spiked with 11 organic pollutants that were treated as unknowns. Sensitivity was found to be the most critical parameter affecting the success of nontarget analysis. The limit of identification (LOI) was 2500 ng L(-1) for four of the 11 compounds, 500 ng L(-1) for three compounds and 100 ng L(-1) for one compound. Three compounds were not detected in any of the spiked samples. A six-stage identification process was developed based on the spiking experiments. The process was based on the forward fit value of the library hit, the number of deconvoluted ions and the accurate mass scoring of the measured ions. The process was applied to an unspiked leachate water sample. Altogether, 44 compounds were tentatively identified in the sample. Elemental compositions of 36 components were additionally determined for which an unequivocal compound identification could not be given. Nontarget analysis with GC-TOF-MS is a promising method for the qualitative analysis of complex water samples. However, we conclude that the computer application for nontarget analysis needs improvement to decrease the amount of manual work needed in the identification process.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Agua / Eliminación de Residuos / Monitoreo del Ambiente Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Año: 2013 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Agua / Eliminación de Residuos / Monitoreo del Ambiente Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Año: 2013 Tipo del documento: Article