Thi Kieu Tiên Do, Ilona Trettin, Mona Hänni, Eike Reich
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Applying machine learning on high-performance thin-layer chromatography using the complementary developing solvents concept
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...
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.