FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387149244> ?p ?o ?g. }

• W4387149244 endingPage "341848" @default.
• W4387149244 startingPage "341848" @default.
• W4387149244 abstract "Recent increase in public acceptance of cannabis as a natural medical alternative for certain neurological pathologies has led to its approval in different regions of the world. However, due to its previous illegal background, little research has been conducted around its biochemical insights. Therefore, in the current framework, metabolomics may be a suitable approach for deepening the knowledge around this plant species. Nevertheless, experimental methods in metabolomics must be carefully handled, as slight modifications can lead to metabolomic coverage loss. Hence, the main objective of this work was to optimise an analytical method for appropriate untargeted metabolomic screening of cannabis. We present an empirically optimised experimental procedure through which the broadest metabolomic coverage was obtained, in which extraction solvents for metabolite isolation, chromatographic columns for LC-qOrbitrap analysis and plant-representative biological tissues were compared. By exploratory means, it was determined that the solvent combination composed of CHCl3:H2O:CH3OH (2:1:1, v/v) provided the highest number of features from diverse chemical classes, as it was a two-phase extractant. In addition, a reverse phase 2.6 μm C18 100 Å (150 × 3 mm) chromatographic column was determined as the appropriate choice for adequate separation and further detection of the diverse metabolite classes. Apart from that, overall chromatographic peak quality provided by each column was observed and the need for batch correction methods through quality control (QC) samples was confirmed. At last, leaf and flower tissues resulted to provide complementary metabolic information of the plant, to the detriment of stem tissue, which resulted to be negligible. It was concluded that the optimised experimental procedure could significantly ease the path for future research works related to cannabis metabolomics by LC-HRMS means, as the work was based on previous plant metabolomics literature. Furthermore, it is crucial to highlight that an optimal analytical method can vary depending on the main objective of the research, as changes in the experimental factors can lead to different outcomes, regardless of whether the results are better or worse." @default.
• W4387149244 created "2023-09-29" @default.
• W4387149244 creator A5017163506 @default.
• W4387149244 creator A5030599924 @default.
• W4387149244 creator A5040164710 @default.
• W4387149244 creator A5044151024 @default.
• W4387149244 creator A5053370634 @default.
• W4387149244 creator A5082865183 @default.
• W4387149244 creator A5086354468 @default.
• W4387149244 date "2023-10-01" @default.
• W4387149244 modified "2023-10-18" @default.
• W4387149244 title "Exploratory optimisation of a LC-HRMS based analytical method for untargeted metabolomic screening of Cannabis Sativa L. through Data Mining" @default.
• W4387149244 cites W1524310794 @default.
• W4387149244 cites W1968152658 @default.
• W4387149244 cites W1971606140 @default.
• W4387149244 cites W1980509967 @default.
• W4387149244 cites W1983347490 @default.
• W4387149244 cites W1990693599 @default.
• W4387149244 cites W2000706716 @default.
• W4387149244 cites W2002518241 @default.
• W4387149244 cites W2006317824 @default.
• W4387149244 cites W2030917828 @default.
• W4387149244 cites W2031367168 @default.
• W4387149244 cites W2044954847 @default.
• W4387149244 cites W2100495367 @default.
• W4387149244 cites W2120227293 @default.
• W4387149244 cites W2127151407 @default.
• W4387149244 cites W2127543426 @default.
• W4387149244 cites W2159035756 @default.
• W4387149244 cites W2188690658 @default.
• W4387149244 cites W2207831393 @default.
• W4387149244 cites W2260109569 @default.
• W4387149244 cites W2301389244 @default.
• W4387149244 cites W2417097384 @default.
• W4387149244 cites W2520377469 @default.
• W4387149244 cites W2520784563 @default.
• W4387149244 cites W2736295906 @default.
• W4387149244 cites W2744254595 @default.
• W4387149244 cites W2750845585 @default.
• W4387149244 cites W2760993150 @default.
• W4387149244 cites W2790631595 @default.
• W4387149244 cites W2797100077 @default.
• W4387149244 cites W2811170405 @default.
• W4387149244 cites W2900902944 @default.
• W4387149244 cites W2913413642 @default.
• W4387149244 cites W2913631090 @default.
• W4387149244 cites W2965291354 @default.
• W4387149244 cites W3020131494 @default.
• W4387149244 cites W3023602865 @default.
• W4387149244 cites W3041002203 @default.
• W4387149244 cites W3085670846 @default.
• W4387149244 cites W3093642374 @default.
• W4387149244 cites W3111747749 @default.
• W4387149244 cites W3137619976 @default.
• W4387149244 cites W3159995035 @default.
• W4387149244 cites W3161806688 @default.
• W4387149244 cites W3163892881 @default.
• W4387149244 cites W3180514920 @default.
• W4387149244 cites W3198056483 @default.
• W4387149244 cites W4200398185 @default.
• W4387149244 cites W4211254291 @default.
• W4387149244 cites W4225319143 @default.
• W4387149244 cites W4225323080 @default.
• W4387149244 cites W4255196858 @default.
• W4387149244 cites W4283017342 @default.
• W4387149244 cites W4292974581 @default.
• W4387149244 cites W4312197939 @default.
• W4387149244 doi "https://doi.org/10.1016/j.aca.2023.341848" @default.
• W4387149244 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37827627" @default.
• W4387149244 hasPublicationYear "2023" @default.
• W4387149244 type Work @default.
• W4387149244 citedByCount "0" @default.
• W4387149244 crossrefType "journal-article" @default.
• W4387149244 hasAuthorship W4387149244A5017163506 @default.
• W4387149244 hasAuthorship W4387149244A5030599924 @default.
• W4387149244 hasAuthorship W4387149244A5040164710 @default.
• W4387149244 hasAuthorship W4387149244A5044151024 @default.
• W4387149244 hasAuthorship W4387149244A5053370634 @default.
• W4387149244 hasAuthorship W4387149244A5082865183 @default.
• W4387149244 hasAuthorship W4387149244A5086354468 @default.
• W4387149244 hasBestOaLocation W43871492441 @default.
• W4387149244 hasConcept C127413603 @default.
• W4387149244 hasConcept C179998833 @default.
• W4387149244 hasConcept C183696295 @default.
• W4387149244 hasConcept C185592680 @default.
• W4387149244 hasConcept C21565614 @default.
• W4387149244 hasConcept C2777477808 @default.
• W4387149244 hasConcept C2777725935 @default.
• W4387149244 hasConcept C2992191599 @default.
• W4387149244 hasConcept C2992520659 @default.
• W4387149244 hasConcept C43617362 @default.
• W4387149244 hasConcept C4725764 @default.
• W4387149244 hasConcept C55493867 @default.
• W4387149244 hasConcept C59822182 @default.
• W4387149244 hasConcept C86803240 @default.
• W4387149244 hasConceptScore W4387149244C127413603 @default.
• W4387149244 hasConceptScore W4387149244C179998833 @default.
• W4387149244 hasConceptScore W4387149244C183696295 @default.

• next