Faster operation of 2LabsToGo-Eco using Debian 13, Django 5, and Raspberry Pi 5, verified via screening of cannabidiol-containing oils

Abstract High-performance thin-layer chromatography with multi-detection, comprising chemical and effect-directed detections, has been scaled down. The latest open-source 2LabsToGo-Eco has successfully merged the instrumental capabilities of two laboratories into a miniaturized, all-in-one system. Using it, not only known but also unknown hazardous or beneficial compounds can be discovered in complex samples. The do-it-yourself concept of the open-source 2LabsToGo-Eco affords traceability of the necessary improvements made. Its operation was sped up by integrating the latest operating system, Debian 13, the newest Python web framework, Django 5, and the comparatively faster single-board computer, the Raspberry Pi 5. After successfully resolving the challenges related to the system modifications, the software’s proper functioning was demonstrated and verified through 2LabsToGo-Eco analysis of 13 cannabidiol-containing oils, which showed red zones for cannabinoids detected after derivatization with the Fast Blue B salt reagent. Loading the software tabs and saving the methods was impressively fast.

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Publication Details

Journal
Journal of Planar Chromatography – Modern TLC
Published
2026-05-16
DOI
https://doi.org/10.1007/s00764-026-00406-x
Primary Topic
Cannabis and Cannabinoid Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Faster operation of 2LabsToGo-Eco using Debian 13, Django 5, and Raspberry Pi 5, verified via screening of cannabidiol-containing oils

Wolfgang Schwack, Lucas Sing, Gertrud Morlock, Jan Morlock
Journal of Planar Chromatography – Modern TLC
Cannabis and Cannabinoid Research
article

Faster operation of 2LabsToGo-Eco using Debian 13, Django 5, and Raspberry Pi 5, verified via screening of cannabidiol-containing oils

Wolfgang Schwack, Lucas Sing, Gertrud Morlock, Jan Morlock
article en

Abstract

Abstract High-performance thin-layer chromatography with multi-detection, comprising chemical and effect-directed detections, has been scaled down. The latest open-source 2LabsToGo-Eco has successfully merged the instrumental capabilities of two laboratories into a miniaturized, all-in-one system. Using it, not only known but also unknown hazardous or beneficial compounds can be discovered in complex samples. The do-it-yourself concept of the open-source 2LabsToGo-Eco affords traceability of the necessary improvements made. Its operation was sped up by integrating the latest operating system, Debian 13, the newest Python web framework, Django 5, and the comparatively faster single-board computer, the Raspberry Pi 5. After successfully resolving the challenges related to the system modifications, the software’s proper functioning was demonstrated and verified through 2LabsToGo-Eco analysis of 13 cannabidiol-containing oils, which showed red zones for cannabinoids detected after derivatization with the Fast Blue B salt reagent. Loading the software tabs and saving the methods was impressively fast.

Journal of Planar Chromatography – Modern TLC
Justus-Liebig-Universität Gießen (DE), Swiss National Museum (CH)
Openalex Percentile: Top 6%
Cannabis and Cannabinoid Research
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