High-throughput automated platform for thin layer chromatography analysis

In this protocol, we detail steps for constructing a high-throughput automated platform for thin layer chromatography (TLC) analysis. We describe robotics and computer vision techniques that can handle 32 compounds under three different elution solvents in about 50 min. The established automated pla...

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Detalles Bibliográficos
Autores principales: Xu, Hao, Zhang, Dongxiao, Mo, Fanyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727146/
https://www.ncbi.nlm.nih.gov/pubmed/36595915
http://dx.doi.org/10.1016/j.xpro.2022.101893
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author Xu, Hao
Zhang, Dongxiao
Mo, Fanyang
author_facet Xu, Hao
Zhang, Dongxiao
Mo, Fanyang
author_sort Xu, Hao
collection PubMed
description In this protocol, we detail steps for constructing a high-throughput automated platform for thin layer chromatography (TLC) analysis. We describe robotics and computer vision techniques that can handle 32 compounds under three different elution solvents in about 50 min. The established automated platform can obtain statistically standardized retardation factor (R(f)) values and enhance reproducibility while reducing labor and time costs. For complete details on the use and execution of this protocol, please refer to Xu et al. (2022).(1)
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spelling pubmed-97271462022-12-08 High-throughput automated platform for thin layer chromatography analysis Xu, Hao Zhang, Dongxiao Mo, Fanyang STAR Protoc Protocol In this protocol, we detail steps for constructing a high-throughput automated platform for thin layer chromatography (TLC) analysis. We describe robotics and computer vision techniques that can handle 32 compounds under three different elution solvents in about 50 min. The established automated platform can obtain statistically standardized retardation factor (R(f)) values and enhance reproducibility while reducing labor and time costs. For complete details on the use and execution of this protocol, please refer to Xu et al. (2022).(1) Elsevier 2022-12-05 /pmc/articles/PMC9727146/ /pubmed/36595915 http://dx.doi.org/10.1016/j.xpro.2022.101893 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Xu, Hao
Zhang, Dongxiao
Mo, Fanyang
High-throughput automated platform for thin layer chromatography analysis
title High-throughput automated platform for thin layer chromatography analysis
title_full High-throughput automated platform for thin layer chromatography analysis
title_fullStr High-throughput automated platform for thin layer chromatography analysis
title_full_unstemmed High-throughput automated platform for thin layer chromatography analysis
title_short High-throughput automated platform for thin layer chromatography analysis
title_sort high-throughput automated platform for thin layer chromatography analysis
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727146/
https://www.ncbi.nlm.nih.gov/pubmed/36595915
http://dx.doi.org/10.1016/j.xpro.2022.101893
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