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Development and Application of Liquid Chromatographic Retention Time Indices in HRMS-Based Suspect and Nontarget Screening.
Aalizadeh, Reza; Alygizakis, Nikiforos A; Schymanski, Emma L; Krauss, Martin; Schulze, Tobias; Ibáñez, María; McEachran, Andrew D; Chao, Alex; Williams, Antony J; Gago-Ferrero, Pablo; Covaci, Adrian; Moschet, Christoph; Young, Thomas M; Hollender, Juliane; Slobodnik, Jaroslav; Thomaidis, Nikolaos S.
Afiliación
  • Aalizadeh R; Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 157 71 Athens, Greece.
  • Alygizakis NA; Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 157 71 Athens, Greece.
  • Schymanski EL; Environmental Institute, Okruzná 784/42, 97241 Kos, Slovak Republic.
  • Krauss M; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Avenue du Swing, L-4367 Belvaux, Luxembourg.
  • Schulze T; Eawag: Swiss Federal Institute for Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland.
  • Ibáñez M; Department Effect-Directed Analysis, Helmholtz-Centre for Environmental Research-UFZ, Leipzig, Germany.
  • McEachran AD; Department Effect-Directed Analysis, Helmholtz-Centre for Environmental Research-UFZ, Leipzig, Germany.
  • Chao A; Research Institute for Pesticides and Water, University Jaume I, Castellón 12071, Spain.
  • Williams AJ; Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Mail Drop, D143-02, 109 T.W. Alexander Dr., Research Triangle Park, North Carolina 27711, United States.
  • Gago-Ferrero P; Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Mail Drop, D143-02, 109 T.W. Alexander Dr., Research Triangle Park, North Carolina 27711, United States.
  • Covaci A; Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Mail Drop, D143-02, 109 T.W. Alexander Dr., Research Triangle Park, North Carolina 27711, United States.
  • Moschet C; Institute of Environmental Assessment and Water Research (IDAEA) Severo Ochoa Excellence Center, Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, E-08034 Barcelona, Spain.
  • Young TM; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), P. O. Box 7050, SE-750 07 Uppsala, Sweden.
  • Hollender J; Toxicological Center, University of Antwerp, 2610 Wilrijk, Belgium.
  • Slobodnik J; Department of Civil and Environmental Engineering, University of California, Davis, California 95616, United States.
  • Thomaidis NS; Department of Civil and Environmental Engineering, University of California, Davis, California 95616, United States.
Anal Chem ; 93(33): 11601-11611, 2021 08 24.
Article en En | MEDLINE | ID: mdl-34382770
ABSTRACT
There is an increasing need for comparable and harmonized retention times (tR) in liquid chromatography (LC) among different laboratories, to provide supplementary evidence for the identity of compounds in high-resolution mass spectrometry (HRMS)-based suspect and nontarget screening investigations. In this study, a rigorously tested, flexible, and less system-dependent unified retention time index (RTI) approach for LC is presented, based on the calibration of the elution pattern. Two sets of 18 calibrants were selected for each of ESI+ and ESI-based on the maximum overlap with the retention times and chemical similarity indices from a total set of 2123 compounds. The resulting calibration set, with RTI set to range between 1 and 1000, was proposed as the most appropriate RTI system after rigorous evaluation, coordinated by the NORMAN network. The validation of the proposed RTI system was done externally on different instrumentation and LC conditions. The RTI can also be used to check the reproducibility and quality of LC conditions. Two quantitative structure-retention relationship (QSRR)-based models were built based on the developed RTI systems, which assist in the removal of false-positive annotations. The applicability domains of the QSRR models allowed completing the identification process with higher confidence for substances within the domain, while indicating those substances for which results should be treated with caution. The proposed RTI system was used to improve confidence in suspect and nontarget screening and increase the comparability between laboratories as demonstrated for two examples. All RTI-related calculations can be performed online at http//rti.chem.uoa.gr/.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Reproducibilidad de los Resultados Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Anal Chem Año: 2021 Tipo del documento: Article País de afiliación: Grecia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Reproducibilidad de los Resultados Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Anal Chem Año: 2021 Tipo del documento: Article País de afiliación: Grecia