Schlotterbeck, Götz

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Schlotterbeck
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Götz
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Schlotterbeck, Götz

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2021 - 20222
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Enddatum: 2022 × Anfangsdatum: 2020 × Dateien dazu vorhanden?: Nein ×

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  • Vorschaubild nicht verfügbar
    Publikation
    Determination of active ingredients in formulated plant protection products by UHPLC-UV/MS
    (Springer, 04.10.2022) Erdin, Yves; Schlotterbeck, Götz; Mink, Christian [in: Journal of Consumer Protection and Food Safety]
    The market for plant protection products (PPPs) is one of the most regulated. With increasing regulations for registering PPPs, its requirements take more effort and more testing. Meanwhile, there is also an increasing market for illegal PPPs. While legally registered PPPs are thoroughly tested and documented, illegal PPPs are sold upfront without any testing (e.g., tox, aqua tox, eco tox). This bears additional risk for the users, the ecosystem and the public. There are many well established analytical methods and protocols to analyse soil, plant products as well as for food and beverage, but less for PPPs. Many methods need laborious sample preparation and extraction steps like QuEChERS and/or advanced mass spectrometry techniques. Here we present a method developed to identify active ingredients (AIs) which is easy to apply at relatively cheap costs and widely available instrumentation. It provides a straightforward set-up for sample preparation and analysis, without the need for elaborative sample preparation. The method validation showed sufficient linearity, repeatability and specificity to use this method for screening of samples taken from market control for counterfeit or cross contamination checks.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Automated chiral method screening. Evaluation of generated chromatographic data sets to further optimize screening efficiency
    (Elsevier, 10.05.2021) Freund, Ernst; Meyer, Daniel; Schneider, Nadine; Lozach, Marie-Anne; Schröder, Harald; Cinar, Catagay; Schlotterbeck, Götz; Wagner, Trixie [in: Journal of Chromatography A]
    We set up an automated screening process to routinely test 10 chiral supercritical fluid chromatography (SFC) methods - five columns combined with two co-solvents - as part of a chiral separation lab workflow. Proprietary software tools enabled automated method screening of racemates, parallel evaluation of the resulting chromatograms for enantiomer separation and report generation. This process is largely automated and resulted in an efficient and reliable lab process with a minimum requirement for human intervention. Screenings were conducted on a test set of 756 racemates that were selected with focus on structural variation and on 2667 proprietary samples from lab routines. Statistical analysis revealed that up to 92% of the tested racemic mixtures could be successfully separated with at least one of the tested conditions of the screening. Process efficiency was further increased by identification of optimal method screening sequence, re-definition of the optimal column set and project-specific adaptations considering reduced structural variation of the analytes. This study illustrates the usefulness of consistent chromatographic data sets to accelerate and facilitate the identification of chiral methods to separate enantiomers by automated processing and statistical analysis.
    01A - Beitrag in wissenschaftlicher Zeitschrift