The Universal HPTLC Mix (UHM): A new concept for System Suitability Tests (SST) in high-performance thin-layer chromatography
-A-new-concept-for-System-Suitability-Tests-(SST)-in-high-performance-thin-layer-chromatography.webp)
SelectScience: The Universal HPTLC Mix (UHM): A new concept for System Suitability Tests (SST) in high-performance thin-layer chromatography
In High-Performance Thin-Layer Chromatography (HPTLC), qualification of the analytical system should be performed on each plate using an appropriate system suitability test (SST), in which method-specific chemical reference substances are usually selected. Alternatively, the unique pattern of zones obtained in a variety of methods with the Universal HPTLC Mix (UHM) may be used to check whether chromatography was correctly performed.
In this webinar, join Dr. Tiên Do, Head of Laboratory at CAMAG, as she explores the development of the UHM as a concept and its applicability for routine analysis.
Key learning objectives
- Learn more about the standardization of HPTLC
- Understand SST in routine analysis
- Discover more about the reproducibility of HPTLC methods
- Learn how to simplify quality control
Who should attend?
- Analytical chemists
- Lab technicians
- Scientists interested in analytical technologies
Presenter: Dr. Tiên Do (Head of Laboratory, CAMAG)
Dr. Tiên Do joined CAMAG in 2014 where she has worked as a scientific support specialist and the Deputy Head of Laboratory. In January 2022, she took up her current position as Head of Laboratory, where she manages basic and applied research projects. She is also responsible for providing training and seminars, and the development of HPTLC methods for various applications. Do holds a Ph.D, from the University of Nice, France. She is a lecturer at the Leiden University, The Netherlands and has published 14 articles about HPTLC in peer-reviewed journals.
Presenter: Dr. Carrie Haslam (Associate Editor, SelectScience)
Dr. Carrie Haslam is an Associate Editor at SelectScience, playing a key role in content production and specializing in Materials Science, Alzheimer’s disease and Clinical Diagnostics. Carrie completed a Ph.D. from The University of Plymouth, where she developed graphene-based biosensors for the early diagnosis of Alzheimer’s disease.