Applying machine learning on high-performance thin-layer chromatography using the complementary developing solvents concept

IF 1 4区化学 Q4 BIOCHEMICAL RESEARCH METHODS

Journal of Liquid Chromatography & Related Technologies Pub Date : 2023-11-24 DOI:10.1080/10826076.2023.2284707

Thi Kieu Tiên Do, Ilona Trettin, Mona Hänni, Eike Reich

引用次数: 0

Abstract

Predicting chromatographic results is a difficult task for many analysts, especially in Thin-Layer Chromatography (TLC) where reproducibility is always a critical point. The availability of suitabl...

查看原文本刊更多论文

利用互补显影溶剂概念将机器学习应用于高效薄层色谱

预测色谱结果对许多分析人员来说是一项困难的任务，特别是在薄层色谱(TLC)中，再现性一直是一个关键点。提供合适的……

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Liquid Chromatography & Related Technologies 化学-分析化学

CiteScore

2.80

自引率

0.00%

发文量

审稿时长

4.9 months

期刊介绍： The Journal of Liquid Chromatography & Related Technologies is an internationally acclaimed forum for fast publication of critical, peer reviewed manuscripts dealing with analytical, preparative and process scale liquid chromatography and all of its related technologies, including TLC, capillary electrophoresis, capillary electrochromatography, supercritical fluid chromatography and extraction, field-flow technologies, affinity, and much more. New separation methodologies are added when they are developed. Papers dealing with research and development results, as well as critical reviews of important technologies, are published in the Journal.