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High Performance Thin-Layer Chromatography (HPTLC) data of Cannabinoids in ten mobile phase systems

This article contains data from triplicate analyses of ten different TLC mobile phase systems from the analysis of 11 cannabinoid standards using HPTLC. The data includes 1) example plate images for 8 mobile phases during evaluation; 2) example table of calculated average, standard deviation, CV% of...

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Detalles Bibliográficos
Autores principales: Liu, Yifan, Victoria, Justin, Wood, Matthew, Staretz, Marianne E., Brettell, Thomas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352075/
https://www.ncbi.nlm.nih.gov/pubmed/32676528
http://dx.doi.org/10.1016/j.dib.2020.105955
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author Liu, Yifan
Victoria, Justin
Wood, Matthew
Staretz, Marianne E.
Brettell, Thomas A.
author_facet Liu, Yifan
Victoria, Justin
Wood, Matthew
Staretz, Marianne E.
Brettell, Thomas A.
author_sort Liu, Yifan
collection PubMed
description This article contains data from triplicate analyses of ten different TLC mobile phase systems from the analysis of 11 cannabinoid standards using HPTLC. The data includes 1) example plate images for 8 mobile phases during evaluation; 2) example table of calculated average, standard deviation, CV% of R(F) for hexane:acetone (87:13) system during evaluation; 3) images of all case sample plates. The validation of the two chosen mobile phases were done according to the SWGDRUG validation requirements [1]. This data can be used for choosing an alternative mobile phase TLC system for the analysis of cannabinoids. The data described in this article is related to a previous published research article “High Performance Thin-Layer Chromatography (HPTLC) analysis of cannabinoids in cannabis extracts” by Liu, et al. (2020) [2].
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spelling pubmed-73520752020-07-15 High Performance Thin-Layer Chromatography (HPTLC) data of Cannabinoids in ten mobile phase systems Liu, Yifan Victoria, Justin Wood, Matthew Staretz, Marianne E. Brettell, Thomas A. Data Brief Chemistry This article contains data from triplicate analyses of ten different TLC mobile phase systems from the analysis of 11 cannabinoid standards using HPTLC. The data includes 1) example plate images for 8 mobile phases during evaluation; 2) example table of calculated average, standard deviation, CV% of R(F) for hexane:acetone (87:13) system during evaluation; 3) images of all case sample plates. The validation of the two chosen mobile phases were done according to the SWGDRUG validation requirements [1]. This data can be used for choosing an alternative mobile phase TLC system for the analysis of cannabinoids. The data described in this article is related to a previous published research article “High Performance Thin-Layer Chromatography (HPTLC) analysis of cannabinoids in cannabis extracts” by Liu, et al. (2020) [2]. Elsevier 2020-06-30 /pmc/articles/PMC7352075/ /pubmed/32676528 http://dx.doi.org/10.1016/j.dib.2020.105955 Text en © 2020 The Author(s). Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Chemistry
Liu, Yifan
Victoria, Justin
Wood, Matthew
Staretz, Marianne E.
Brettell, Thomas A.
High Performance Thin-Layer Chromatography (HPTLC) data of Cannabinoids in ten mobile phase systems
title High Performance Thin-Layer Chromatography (HPTLC) data of Cannabinoids in ten mobile phase systems
title_full High Performance Thin-Layer Chromatography (HPTLC) data of Cannabinoids in ten mobile phase systems
title_fullStr High Performance Thin-Layer Chromatography (HPTLC) data of Cannabinoids in ten mobile phase systems
title_full_unstemmed High Performance Thin-Layer Chromatography (HPTLC) data of Cannabinoids in ten mobile phase systems
title_short High Performance Thin-Layer Chromatography (HPTLC) data of Cannabinoids in ten mobile phase systems
title_sort high performance thin-layer chromatography (hptlc) data of cannabinoids in ten mobile phase systems
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352075/
https://www.ncbi.nlm.nih.gov/pubmed/32676528
http://dx.doi.org/10.1016/j.dib.2020.105955
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