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

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Authors: Wolfgang Schwack, Jan Morlock, Lucas Sing, Gertrud Morlock
Cited by: 1
References: 20

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.

Fields of Study & Subjects

Cannabis and Cannabinoid Research Metabolomics and Mass Spectrometry Studies Forensic Toxicology and Drug Analysis

Publication details

Journal / source
Journal of Planar Chromatography – Modern TLC
Publisher
Springer Science and Business Media LLC
Volume
39
Issue
2
Pages
119–124
Publication date
1 April 2026
Language
EN