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Determination of Selected Natural Psychoactive Substances in Organic Matrices at 3D Printed Electrodes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F23%3A10478213" target="_blank" >RIV/00216208:11310/23:10478213 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.bestservis.eu/realizovane-akce/42-mem/43/" target="_blank" >https://www.bestservis.eu/realizovane-akce/42-mem/43/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determination of Selected Natural Psychoactive Substances in Organic Matrices at 3D Printed Electrodes

  • Original language description

    Psilocybin and its derivative psilocin are popular psychoactive substances both as experimental treatments in clinical trials and as illicit drugs. Their potential ability to influence the human brain entails the need for a fast, inexpensive, selective, and sensitive method of their determination. The aim of our study was the development of new 3D-printed electrodes which fulfill these demands and are useful for medical, toxicological, and forensic purposes. Successful development allows determining in real matrices (human plasma and dried mushrooms) concentrations of the order of 1 μmol dm(-3).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Sborník přednášek mezinárodní odborné konference 42. Moderní Elektrochemické Metody

  • ISBN

    978-80-908947-0-9

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    87-90

  • Publisher name

    Lenka Srsenová - BEST Servis Ústí nad Labem

  • Place of publication

    Ústí nad Labem

  • Event location

    Jetrichovice, Česká republika

  • Event date

    May 22, 2023

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article