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Expanded Evaluation of a Robust On-Line Sample Cleanup-LC-MS Platform Suited for New Approach Methodologies (NAM)

'Taken together, these results demonstrate a robust, low-waste, and scalable LC–MS based workflow for chemical analysis of NAM-derived samples'. This is a preprint and has not been peer reviewed. Data may be preliminary.
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WORC Update and Steven Ray Wilson
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Posted on 9 June 2026 — CC-BY 4.0 — This is a preprint and has not been peer reviewed. Data may be preliminary. — https://doi.org/10.26434/chemrxiv.15004554/v1

Authors:

  • Marcus Kamande 1
  • Julie Bekkhus1
  •  Aysan Safavi 2
  • Mads T. S. Gisle Johnsen 1
  • Patrik Appelblad 3
  • Steven Ray Wilson 1
  • Hanne Røberg-Larsen 1
    1. Department of Chemistry, University of Oslo
    2. School of Engineering and Natural Sciences, University of Iceland
    3. Discovery Solu5ons, Merck Life Science AS
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Contributors

Author

Go to the profile of WORC Update

WORC Update (He/Him)

Head of community, WORC.Community (A Caterpillar Hill Limited venture).

Contributing author

Go to the profile of Steven Ray Wilson

Steven Ray Wilson

Professor, University of OSlo

Multiple Contributors
WORC Update and Steven Ray Wilson

Contributors

Author

Go to the profile of WORC Update

WORC Update (He/Him)

Head of community, WORC.Community (A Caterpillar Hill Limited venture).

Contributing author

Go to the profile of Steven Ray Wilson

Steven Ray Wilson

Professor, University of OSlo

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