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用于可重现化学指纹图谱的标准化高效薄层色谱法。

Standardized HPTLC for Reproducible Chemical Fingerprinting.

作者信息

Do Thi Kieu Tiên, Trettin Ilona, Reich Eike

机构信息

CAMAG, Muttenz, Switzerland.

HPTLC Association, Rheinfelden, Switzerland.

出版信息

Methods Mol Biol. 2025;2895:47-61. doi: 10.1007/978-1-0716-4350-1_4.

DOI:10.1007/978-1-0716-4350-1_4
PMID:39885022
Abstract

High-performance thin-layer chromatography (HPTLC) plays a crucial role in establishing the chemical fingerprint of natural products (NPs) during analysis. This technique involves standardized procedures for each step, ensuring the reproducibility of results. In this context, we present a comprehensive standard operating procedure (SOP) encompassing both manual instruments and suitable devices. The methods detailed herein adopt a non-targeted screening approach applicable to all unrelated samples, complemented by a two-step derivatization process capable of detecting a wide range of phytochemical classes. By following these procedures, researchers can obtain reliable and consistent results that could be used to build a database for NPs using HPTLC.

摘要

高效薄层色谱法(HPTLC)在天然产物(NP)分析过程中确定其化学指纹图谱方面发挥着关键作用。该技术的每个步骤都涉及标准化程序,以确保结果的可重复性。在此背景下,我们提出了一个全面的标准操作规程(SOP),涵盖手动仪器和适用设备。本文详述的方法采用适用于所有不相关样品的非靶向筛选方法,并辅以能够检测多种植物化学类别的两步衍生化过程。通过遵循这些程序,研究人员可以获得可靠且一致的结果,这些结果可用于利用HPTLC建立NP数据库。

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本文引用的文献

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Applicability of the Universal Mixture for describing system suitability and quality of analytical data in routine normal phase High Performance Thin Layer Chromatography methods.通用混合物在常规正相高效薄层色谱法中描述系统适用性和分析数据质量的适用性。
J Chromatogr A. 2022 Mar 15;1666:462863. doi: 10.1016/j.chroma.2022.462863. Epub 2022 Feb 2.
2
Development of the first universal mixture for use in system suitability tests for High-Performance Thin Layer Chromatography.开发首个适用于高效薄层色谱系统适用性测试的通用混合物。
J Chromatogr A. 2021 Feb 8;1638:461830. doi: 10.1016/j.chroma.2020.461830. Epub 2021 Jan 5.
3
Proof-of-Principle of rTLC, an Open-Source Software Developed for Image Evaluation and Multivariate Analysis of Planar Chromatograms.
rTLC,一种用于平面色谱图像评估和多元分析的开源软件的原理验证。
Anal Chem. 2016 Dec 20;88(24):12494-12501. doi: 10.1021/acs.analchem.6b04017. Epub 2016 Dec 2.