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Current analytical methods to monitor type 2 diabetes medication in biological samples

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F23%3A00570364" target="_blank" >RIV/67985823:_____/23:00570364 - isvavai.cz</a>

  • Alternative codes found

    RIV/60461373:22330/23:43927221

  • Result on the web

    <a href="https://doi.org/10.1016/j.trac.2022.116831" target="_blank" >https://doi.org/10.1016/j.trac.2022.116831</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.trac.2022.116831" target="_blank" >10.1016/j.trac.2022.116831</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Current analytical methods to monitor type 2 diabetes medication in biological samples

  • Original language description

    We review the current analytical methods for analyzing type 2 diabetes (T2D) medication in human and animal samples. We discuss the advantages and limitations during sample preparation, separation, and detection of these drugs. Finally, we highlight the parameters to be considered for multi-targeted analytical methods and for assessing T2D medication adherence. By reviewing over 140 original papers, we can conclude that current analytical methods for T2D drug analysis involve: (1) extraction using protein precipitation with acetonitrile or methanol, (2) reversed-phase liquid chromatography separation using octadecyl (C18)-based columns with analysis time <20 min, and (3) electrospray ionization in positive ion mode with a triple quadrupole or quadrupole/linear ion trap mass analyzer. Methods for screening antidiabetics were limited to 1–5 analytes, far less than in other areas, such as analysis of cardiovascular agents, anticancer drugs, or drug screening for forensic services.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30202 - Endocrinology and metabolism (including diabetes, hormones)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    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

  • Name of the periodical

    TrAC-Trends in Analytical Chemistry

  • ISSN

    0165-9936

  • e-ISSN

    1879-3142

  • Volume of the periodical

    158

  • Issue of the periodical within the volume

    January

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    21

  • Pages from-to

    116831

  • UT code for WoS article

    001006481500001

  • EID of the result in the Scopus database

    2-s2.0-85142506024