• 5 in 30 (Cognitive bias, more metabolics, electromembranes and fentalogs)

  • 2024/12/17
  • 再生時間: 44 分
  • ポッドキャスト

5 in 30 (Cognitive bias, more metabolics, electromembranes and fentalogs)

  • サマリー

  • We look at 5 recent publications in the field of toxicology.

    1. Ning He, et al. Contextual bias in forensic toxicology decisions: A follow-up empirical study from China. (2024) Journal of Forensic Sciences, doi: 10.1111/1556-4029.15520.
    2. Kesmen, E. et al. Bioinformatics-driven untargeted metabolomic profiling for clinical screening of methamphetamine abuse. (2024) Forensic Toxicology, doi: 10.1007/s11419-024-00703-2.
    3. Schuller, M. et al. Electromembrane extraction of drugs of abuse and prescription drugs from micropulverized hair. (2024) Journal of Analytical Toxicology, doi: 10.1093/jat/bkae051.
    4. Schackmuth, M. et al. Identification of fentanyl analogs and potential biomarkers in urine using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and liquid chromatography-quadrupole/time of flight mass spectrometry (LC-Q/TOF-MS). (2024) Journal of Chromatography B, doi: 10.1016/j.jchromb.2024.124303.
    5. Trobbiani, S. et al. Increasing the linear dynamic range in LC-MS: is it valid to use a less abundant isotopologue? (2017) Drug Testing and Analysis, doi: 10.1002/dta.2175


    You can try out NotebookLM yourself at https://notebooklm.google/

    Contact us at toxpod@tiaft.org

    Find out more about TIAFT at www.tiaft.org

    The Toxpod is a production of The International Association of Forensic Toxicologists. The opinions expressed by the hosts are their own and do not necessarily reflect the views of TIAFT or their employers.

    You can send us a text message using this link!

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あらすじ・解説

We look at 5 recent publications in the field of toxicology.

  1. Ning He, et al. Contextual bias in forensic toxicology decisions: A follow-up empirical study from China. (2024) Journal of Forensic Sciences, doi: 10.1111/1556-4029.15520.
  2. Kesmen, E. et al. Bioinformatics-driven untargeted metabolomic profiling for clinical screening of methamphetamine abuse. (2024) Forensic Toxicology, doi: 10.1007/s11419-024-00703-2.
  3. Schuller, M. et al. Electromembrane extraction of drugs of abuse and prescription drugs from micropulverized hair. (2024) Journal of Analytical Toxicology, doi: 10.1093/jat/bkae051.
  4. Schackmuth, M. et al. Identification of fentanyl analogs and potential biomarkers in urine using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and liquid chromatography-quadrupole/time of flight mass spectrometry (LC-Q/TOF-MS). (2024) Journal of Chromatography B, doi: 10.1016/j.jchromb.2024.124303.
  5. Trobbiani, S. et al. Increasing the linear dynamic range in LC-MS: is it valid to use a less abundant isotopologue? (2017) Drug Testing and Analysis, doi: 10.1002/dta.2175


You can try out NotebookLM yourself at https://notebooklm.google/

Contact us at toxpod@tiaft.org

Find out more about TIAFT at www.tiaft.org

The Toxpod is a production of The International Association of Forensic Toxicologists. The opinions expressed by the hosts are their own and do not necessarily reflect the views of TIAFT or their employers.

You can send us a text message using this link!

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