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    Quantification of glyphosate and aminomethylphosphonic acid from microbiome reactor fluids (2020)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Fritz-Wallace, Katarina
    Engelmann, Beatrice
    Krause, Jannike L.
    Schäpe, Stephanie S.
    Pöppe, Judith (WE 10)
    Herberth, Gunda
    Rösler, Uwe (WE 10)
    Jehmlich, Nico
    von Bergen, Martin
    Rolle-Kampczyk, Ulrike
    Quelle
    Rapid communications in mass spectrometry : RCM
    Bandzählung: 34
    Heftzählung: 7
    Seiten: e8668
    ISSN: 1097-0231
    Sprache
    Englisch
    Verweise
    URL (Volltext): https://onlinelibrary.wiley.com/doi/full/10.1002/rcm.8668
    DOI: 10.1002/rcm.8668
    Kontakt
    Institut für Tier- und Umwelthygiene

    Robert-von-Ostertag-Str. 7-13
    14169 Berlin
    +49 30 838 51845
    tierhygiene@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Rationale:
    Glyphosate is one of the most widely used herbicides and it is suspected to affect the intestinal microbiota through inhibition of aromatic amino acid synthesis via the shikimate pathway. In vitro microbiome bioreactors are increasingly used as model systems to investigate effects on intestinal microbiota and consequently methods for the quantitation of glyphosate and its degradation product aminomethylphosphonic acid (AMPA) in microbiome model systems are required.

    Methods:
    An optimized protocol enables the analysis of both glyphosate and AMPA by simple extraction with methanol:acetonitrile:water (2:3:1) without further enrichment steps. Glyphosate and AMPA are separated by liquid chromatography on an amide column and identified and quantified with a targeted tandem mass spectrometry method using a QTRAP 5500 system (AB Sciex).

    Results:
    Our method has a limit of detection (LOD) in extracted water samples of <2 ng/mL for both glyphosate and AMPA. In complex intestinal medium, the LOD is 2 and 5 ng/mL for glyphosate and AMPA, respectively. These LODs allow for measurement at exposure‐relevant concentrations. Glyphosate levels in a bioreactor model of porcine colon were determined and consequently it was verified whether AMPA was produced by porcine gut microbiota.

    Conclusions:
    The method presented here allows quantitation of glyphosate and AMPA in complex bioreactor fluids and thus enables studies of the impact of glyphosate and its metabolism on intestinal microbiota. In addition, the extraction protocol is compatible with an untargeted metabolomics analysis, thus allowing one to look for other perturbations caused by glyphosate in the same sample.