Daniel Joel Pasin

Daniel Joel Pasin

Postdoc


Publication year:
  1. 2023
  2. Published

    Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances

    Wang, F., Pasin, Daniel Joel, Skinnider, M. A., Liigand, J., Kleis, J. N., Brown, D., Oler, E., Sajed, T., Gautam, V., Harrison, S., Greiner, R., Foster, L. J., Dalsgaard, Petur Weihe & Wishart, D. S., 2023, In: Analytical Chemistry. 95, 50, p. 18326-18334

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. 2022
  4. Published

    Identification of the synthetic cannabinoid‐type new psychoactive substance, CH‐PIACA, in seized material

    Pasin, Daniel Joel, Nedahl, Michael, Mollerup, Christian Brinch, Tortzen, C., Reitzel, Lotte Ask & Dalsgaard, Petur Weihe, 15 Sep 2022, In: Drug Testing and Analysis. 14, 9, p. 1645–1651 7 p.

    Research output: Contribution to journalLetterResearchpeer-review

  5. Published

    Developments in high-resolution mass spectrometric analyses of new psychoactive substances

    Klingberg, J., Keen, B., Cawley, A., Pasin, Daniel Joel & Fu, S., 2022, In: Archives of Toxicology. 96, p. 949–967

    Research output: Contribution to journalReviewResearchpeer-review

  6. Published
  7. Published
  8. Published

    Multi-library synchronization for suspect screening using LC-HRMS: The importance of InChIkeys

    Dalsgaard, Petur Weihe, Mollerup, Christian Brinch & Pasin, Daniel Joel, 2022, In: Toxicologie Analytique et Clinique. 24, 3, Suppl., p. S105 1 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  9. Published
  10. 2021
  11. Finding the proverbial needle: Non-targeted screening of synthetic opioids in equine plasma

    Klingberg, J., Cawley, A., Shimmon, R., Fouracre, C., Pasin, Daniel Joel & Fu, S., May 2021, In: Drug Testing and Analysis. 13, 5, p. 977-989 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    A deep generative model enables automated structure elucidation of novel psychoactive substances

    Skinnider, M. A., Wang, F., Pasin, Daniel Joel, Greiner, R., Foster, L. J., Dalsgaard, Petur Weihe & Wishart, D. S., 2021, In: Nature Machine Intelligence. 3, 11, p. 973-984

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Published
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