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用于医学质量筛选中薄层色谱分析的定量评估的开源智能手机应用程序。

An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening.

机构信息

Pharmaceutical Institute, Eberhard Karls University Tübingen, Tübingen, Germany.

Computer Graphics, Department of Computer Science, Eberhard Karls University Tübingen, Tübingen, Germany.

出版信息

Sci Rep. 2022 Aug 4;12(1):13433. doi: 10.1038/s41598-022-17527-y.

Abstract

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.

摘要

劣药和假药对公众健康构成严重威胁。在中低收入国家,简单、低成本的筛选工具对于识别此类产品非常重要。在本研究中,开发了一种基于智能手机的成像软件,用于对薄层色谱(TLC)分析进行定量。按照全球制药卫生基金(GPHF)迷你实验室的程序,根据国际准则,对该工具在 14 种活性药物成分的 TLC 分析中的性能进行了评估,评估了该方法的准确性、重复性、中间精密度、特异性、线性、范围和稳健性。在重复性和中间精密度评估中,分别观察到个别测量值的相对标准偏差为 2.79%和 4.46%。条件的微小故意变化几乎不会影响结果。设计了一个可本地生产的木制盒子,可确保在标准化条件下进行 TLC 摄影并防止环境光干扰。摄影和图像分析使用低成本的基于 Android 的智能手机进行。该应用程序允许使用消息传递应用程序、电子邮件、电缆或蓝牙连接共享 TLC 照片和定量结果,或上传到云端。该应用程序可免费作为通用公共许可证(GPL)开源软件使用,欢迎感兴趣的个人或组织使用和/或进一步改进该软件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7f6/9352711/f2040c8c01e4/41598_2022_17527_Fig1_HTML.jpg

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