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May 18, 2026JPC - Journal of Planar Chromatography - Modern TLC0 citationsOpen Access

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

WSWolfgang SchwackJMJan MorlockLSLucas Sing

Key Points

  • The research aims to demonstrate the enhanced performance of the 2LabsToGo-Eco system using the latest software and hardware.
  • Integrated Debian 13, Django 5, and Raspberry Pi 5 into the 2LabsToGo-Eco system
  • Screened 13 cannabidiol-containing oils for cannabinoid detection
  • Utilized Fast Blue B salt reagent for derivatization
  • Detected cannabinoid red zones in all 13 samples analyzed
  • Significantly faster loading and saving of software tabs was observed
  • Effectively identified both known and unknown compounds in complex samples

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.

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Cite This Study

Schwack et al. (2026) studied this question.

synapsesocial.com/papers/6a0aaccf5ba8ef6d83b703edhttps://doi.org/10.1007/s00764-026-00406-x
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