Performance of combined fragmentation and retention prediction for the identification of organic micropollutants by LC-HRMS.

Hu, Meng; Müller, Erik; Schymanski, Emma L; Ruttkies, Christoph; Schulze, Tobias; Brack, Werner; Krauss, Martin

Hu, Meng; Müller, Erik; Schymanski, Emma L; Ruttkies, Christoph; Schulze, Tobias; Brack, Werner; Krauss, Martin.

Afiliação

Hu M; Department Effect-Directed Analysis, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318, Leipzig, Germany.
Müller E; Department of Ecosystem Analyses, Institute for Environmental Research, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany.
Schymanski EL; Department Effect-Directed Analysis, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318, Leipzig, Germany.
Ruttkies C; Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600, Dübendorf, Switzerland.
Schulze T; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belval Campus, 6, avenue du Swing, 4367, Belvaux, Luxembourg.
Brack W; Department of Stress and Developmental Biology, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06120, Halle (Saale), Germany.
Krauss M; Department Effect-Directed Analysis, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318, Leipzig, Germany.

Anal Bioanal Chem ; 410(7): 1931-1941, 2018 Mar.

Article em En | MEDLINE | ID: mdl-29380019

Palavras-chave

Environmental contaminants; Fragmentation prediction; LC-HRMS; Micropollutants; Retention prediction; Structure elucidation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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