dc.contributor.author | San Nicolas Oruetxebarria, Markel | |
dc.contributor.author | Villate Uribe, Aitor | |
dc.contributor.author | Olivares Zabalandicoechea, Maitane | |
dc.contributor.author | Etxebarria Loizate, Nestor | |
dc.contributor.author | Zuloaga Zubieta, Olatz | |
dc.contributor.author | Aizpurua Olaizola, Oier | |
dc.contributor.author | Usobiaga Epelde, Aresatz | |
dc.date.accessioned | 2023-12-26T10:05:33Z | |
dc.date.available | 2023-12-26T10:05:33Z | |
dc.date.issued | 2023-10 | |
dc.identifier.citation | Analytica Chimica Acta 1279 : (2023) // Article ID 341848 | es_ES |
dc.identifier.issn | 0003-2670 | |
dc.identifier.issn | 1873-4324 | |
dc.identifier.uri | http://hdl.handle.net/10810/63633 | |
dc.description.abstract | Background
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.
Results
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.
Significance
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. | es_ES |
dc.description.sponsorship | This work was financially supported by the Education Department of the Basque Country as a consolidated group of the Basque Research System (IT1213-19) and by Sovereign Fields S.L., in the framework of the project Metabolomic study of Cannabis Sativa L. cultivations and determination of contaminants in medical cannabis plants. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | plant metabolomics | es_ES |
dc.subject | experimental factors | es_ES |
dc.subject | Cannabis sativa L. | es_ES |
dc.subject | LC-HRMS | es_ES |
dc.subject | metabolomic coverage | es_ES |
dc.subject | data mining | es_ES |
dc.title | Exploratory optimisation of a LC-HRMS based analytical method for untargeted metabolomic screening of Cannabis Sativa L. through Data Mining | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-
nc-nd/4.0/). | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0003267023010693 | es_ES |
dc.identifier.doi | 10.1016/j.aca.2023.341848 | |
dc.departamentoes | Química analítica | es_ES |
dc.departamentoeu | Kimika analitikoa | es_ES |