• Je něco špatně v tomto záznamu ?

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

L. Nahar, A. Onder, SD. Sarker,

. 2020 ; 31 (4) : 413-457. [pub] 20191217

Jazyk angličtina Země Velká Británie

Typ dokumentu časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc20022993

Grantová podpora
No. CZ.02.1.01/0.0/0.0/16_019/0000868 The European Regional Development Fund - Project ENOCH
CZ.02.1.01/0.0/0.0/16_019/0000868 European Regional Development Fund - Project ENOCH

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.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20022993
003      
CZ-PrNML
005      
20201214125102.0
007      
ta
008      
201125s2020 xxk f 000 0|eng||
009      
AR
024    7_
$a 10.1002/pca.2906 $2 doi
035    __
$a (PubMed)31849137
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxk
100    1_
$a Nahar, Lutfun $u Laboratory of Growth Regulators, Institute of Experimental Botany ASCR & Palacký University, Olomouc, Czech Republic.
245    12
$a A review on the recent advances in HPLC, UHPLC and UPLC analyses of naturally occurring cannabinoids (2010-2019) / $c L. Nahar, A. Onder, SD. Sarker,
520    9_
$a 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.
650    12
$a kanabinoidy $7 D002186
650    12
$a Cannabis $7 D002188
650    _2
$a vysokoúčinná kapalinová chromatografie $7 D002851
650    _2
$a tandemová hmotnostní spektrometrie $7 D053719
655    _2
$a časopisecké články $7 D016428
655    _2
$a přehledy $7 D016454
700    1_
$a Onder, Alev $u Department of Pharmacognosy, Faculty of Pharmacy, Ankara University, Ankara, Turkey.
700    1_
$a Sarker, Satyajit D $u Centre for Natural Products Discovery, School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.
773    0_
$w MED00005683 $t Phytochemical analysis : PCA $x 1099-1565 $g Roč. 31, č. 4 (2020), s. 413-457
856    41
$u https://pubmed.ncbi.nlm.nih.gov/31849137 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20201214125101 $b ABA008
999    __
$a ok $b bmc $g 1595312 $s 1113669
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 31 $c 4 $d 413-457 $e 20191217 $i 1099-1565 $m Phytochemical analysis $n Phytochem Anal $x MED00005683
GRA    __
$a No. CZ.02.1.01/0.0/0.0/16_019/0000868 $p The European Regional Development Fund - Project ENOCH
GRA    __
$a CZ.02.1.01/0.0/0.0/16_019/0000868 $p European Regional Development Fund - Project ENOCH
LZP    __
$a Pubmed-20201125

Najít záznam

Citační ukazatele

Možnosti archivace