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A review on the recent advances in HPLC, UHPLC and UPLC analyses of naturally occurring cannabinoids (2010-2019)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73604714" target="_blank" >RIV/61989592:15310/20:73604714 - isvavai.cz</a>

  • Alternative codes found

    RIV/61389030:_____/20:00565610

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/pca.2906" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1002/pca.2906</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/pca.2906" target="_blank" >10.1002/pca.2906</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A review on the recent advances in HPLC, UHPLC and UPLC analyses of naturally occurring cannabinoids (2010-2019)

  • Original language description

    Introduction Organic molecules that bind to cannabinoid receptors are called cannabinoids, and they have similar pharmacological properties like the plant, Cannabis sativa L. Hyphenated liquid chromatography (LC), incorporating high-performance liquid chromatography (HPLC) and ultra-performance liquid chromatography (UPLC, also known as ultrahigh-performance liquid chromatography, UHPLC), usually coupled to an ultraviolet (UV), UV-photodiode array (PDA) or mass spectrometry (MS) detector, has become a popular analytical tool for the analysis of naturally occurring cannabinoids in various matrices. Objective To review literature on the use of various LC-based analytical methods for the analysis of naturally occurring cannabinoids published since 2010. Methodology A comprehensive literature search was performed utilising several databases, like Web of Knowledge, PubMed and Google Scholar, and other relevant published materials including published books. The keywords used, in various combinations, with cannabinoids being present in all combinations, in the search were Cannabis, hemp, cannabinoids, Cannabis sativa, marijuana, analysis, HPLC, UHPLC, UPLC, quantitative, qualitative and quality control. Results Since 2010, several LC methods for the analysis of naturally occurring cannabinoids have been reported. While simple HPLC-UV or HPLC-UV-PDA-based methods were common in cannabinoids analysis, HPLC-MS, HPLC-MS/MS, UPLC (or UHPLC)-UV-PDA, UPLC (or UHPLC)-MS and UPLC (or UHPLC)-MS/MS, were also used frequently. Applications of mathematical and computational models for optimisation of different protocols were observed, and pre-analyses included various environmentally friendly extraction protocols. Conclusions LC-based analysis of naturally occurring cannabinoids has dominated the cannabinoids analysis during the last 10 years, and UPLC and UHPLC methods have been shown to be superior to conventional HPLC methods.

  • 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

    30104 - Pharmacology and pharmacy

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000868" target="_blank" >EF16_019/0000868: Molecular, cellular and clinical approach to healthy ageing</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    PHYTOCHEMICAL ANALYSIS

  • ISSN

    0958-0344

  • e-ISSN

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    45

  • Pages from-to

    413-457

  • UT code for WoS article

    000503022500001

  • EID of the result in the Scopus database

    2-s2.0-85076761391