Literature DB >> 29789168

quanTLC, an online open-source solution for videodensitometric quantification.

Dimitri Fichou1, Gertrud E Morlock2.   

Abstract

The image is the key feature of planar chromatography. Videodensitometry by digital image conversion is the fastest way of its evaluation. Instead of scanning single sample tracks one after the other, only few clicks are needed to convert all tracks at one go. A minimalistic software was newly developed, termed quanTLC, that allowed the quantitative evaluation of samples in few minutes. quanTLC includes important assets such as open-source, online, free of charge, intuitive to use and tailored to planar chromatography, as none of the nine existent software for image evaluation covered these aspects altogether. quanTLC supports common image file formats for chromatogram upload. All necessary steps were included, i.e., videodensitogram extraction, preprocessing, automatic peak integration, calibration, statistical data analysis, reporting and data export. The default options for each step are suitable for most analyses while still being tunable, if needed. A one-minute video was recorded to serve as user manual. The software capabilities are shown on the example of a lipophilic dye mixture separation. The quantitative results were verified by comparison with those obtained by commercial videodensitometry software and opto-mechanical slit-scanning densitometry. The data can be exported at each step to be processed in further software, if required. The code was released open-source to be exploited even further. The software itself is online useable without installation and directly accessible at http://shinyapps.ernaehrung.uni-giessen.de/quanTLC.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  High-performance thin-layer chromatography; Online software; Open-source software; Quantitative image analysis; Videodensitometry

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Year:  2018        PMID: 29789168     DOI: 10.1016/j.chroma.2018.05.027

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  2 in total

1.  Effect-Directed Profiling of Monofloral Honeys from Ethiopia by High-Performance Thin-Layer Chromatography and High-Resolution Mass Spectrometry.

Authors:  Gertrud E Morlock; Abera Belay; Julia Heil; Annabel Mehl; Hannelore Borck
Journal:  Molecules       Date:  2022-05-31       Impact factor: 4.927

2.  Additive Analytics: Easy Transformation of Low-Cost Fused Deposition Modeling Three-Dimensional Printers for HPTLC Sample Application.

Authors:  Dirk Volker Woortman; Martina Haack; Norbert Mehlmer; Thomas B Brück
Journal:  ACS Omega       Date:  2020-05-06
  2 in total

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