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An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening
Substandard and falsified medicines present a serious threat to public health. Simple, low-cost screening tools are important in the identification of such products in low- and middle-income countries. In the present study, a smartphone-based imaging software was developed for the quantification of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352711/ https://www.ncbi.nlm.nih.gov/pubmed/35927306 http://dx.doi.org/10.1038/s41598-022-17527-y |
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author | Hauk, Cathrin Boss, Mark Gabel, Julia Schäfermann, Simon Lensch, Hendrik P. A. Heide, Lutz |
author_facet | Hauk, Cathrin Boss, Mark Gabel, Julia Schäfermann, Simon Lensch, Hendrik P. A. Heide, Lutz |
author_sort | Hauk, Cathrin |
collection | PubMed |
description | Substandard and falsified medicines present a serious threat to public health. Simple, low-cost screening tools are important in the identification of such products in low- and middle-income countries. In the present study, a smartphone-based imaging software was developed for the quantification of thin-layer chromatographic (TLC) analyses. A performance evaluation of this tool in the TLC analysis of 14 active pharmaceutical ingredients according to the procedures of the Global Pharma Health Fund (GPHF) Minilab was carried out, following international guidelines and assessing accuracy, repeatability, intermediate precision, specificity, linearity, range and robustness of the method. Relative standard deviations of 2.79% and 4.46% between individual measurements were observed in the assessments of repeatability and intermediate precision, respectively. Small deliberate variations of the conditions hardly affected the results. A locally producible wooden box was designed which ensures TLC photography under standardized conditions and shielding from ambient light. Photography and image analysis were carried out with a low-cost Android-based smartphone. The app allows to share TLC photos and quantification results using messaging apps, e-mail, cable or Bluetooth connections, or to upload them to a cloud. The app is available free of charge as General Public License (GPL) open-source software, and interested individuals or organizations are welcome to use and/or to further improve this software. |
format | Online Article Text |
id | pubmed-9352711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93527112022-08-06 An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening Hauk, Cathrin Boss, Mark Gabel, Julia Schäfermann, Simon Lensch, Hendrik P. A. Heide, Lutz Sci Rep Article Substandard and falsified medicines present a serious threat to public health. Simple, low-cost screening tools are important in the identification of such products in low- and middle-income countries. In the present study, a smartphone-based imaging software was developed for the quantification of thin-layer chromatographic (TLC) analyses. A performance evaluation of this tool in the TLC analysis of 14 active pharmaceutical ingredients according to the procedures of the Global Pharma Health Fund (GPHF) Minilab was carried out, following international guidelines and assessing accuracy, repeatability, intermediate precision, specificity, linearity, range and robustness of the method. Relative standard deviations of 2.79% and 4.46% between individual measurements were observed in the assessments of repeatability and intermediate precision, respectively. Small deliberate variations of the conditions hardly affected the results. A locally producible wooden box was designed which ensures TLC photography under standardized conditions and shielding from ambient light. Photography and image analysis were carried out with a low-cost Android-based smartphone. The app allows to share TLC photos and quantification results using messaging apps, e-mail, cable or Bluetooth connections, or to upload them to a cloud. The app is available free of charge as General Public License (GPL) open-source software, and interested individuals or organizations are welcome to use and/or to further improve this software. Nature Publishing Group UK 2022-08-04 /pmc/articles/PMC9352711/ /pubmed/35927306 http://dx.doi.org/10.1038/s41598-022-17527-y Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hauk, Cathrin Boss, Mark Gabel, Julia Schäfermann, Simon Lensch, Hendrik P. A. Heide, Lutz An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening |
title | An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening |
title_full | An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening |
title_fullStr | An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening |
title_full_unstemmed | An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening |
title_short | An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening |
title_sort | open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352711/ https://www.ncbi.nlm.nih.gov/pubmed/35927306 http://dx.doi.org/10.1038/s41598-022-17527-y |
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