Ep. 4: The Future of Method Development for Liquid Chromatography

Welcome to “Analytically Speaking,” the new podcast from LCGC and Spectroscopy.

In this episode, podcast host Dr. Dwight Stoll talks with Dr. Deirdre Cabooter, a professor working in the Department of Pharmaceutical and Pharmacological Sciences at KU Leuven in Leuven, Belgium, about her pathway to separation science, her research on fundamental aspects of band broadening in liquid chromatography and emerging work on the use of machine learning in method development, and her work as organizer of the HTC conference and Editor of the Journal of Chromatography A. Drs. Stoll and Cabooter talk about the importance of continuing to dig deeper and understand more about dispersion processes nearly 70 years after the famous van Deemter equation was first published, as well as the increasing importance of multi-dimensional separations in a variety of research areas.

Useful links:

• Conference website for the 18th International Symposium on Hyphenated Techniques in Chromatography and Separation Technology (aka HTC), which will be held in Leuven, Belgium in May of 2024.

Recent Literature Discussed:

• D. Sadriaj, G. Desmet, D. Cabooter, Taylor-Aris methodology for the experimental determination of molecular diffusion coefficients: Tutorial with focus on large biomolecules. Journal of Chromatography, A 1664, In Press (2022). https://doi.org/10.1016/j.chroma.2021.462787
• G. Loos, K. Shoykhet, M. Dittmann, D. Cabooter, Restriction capillaries as an innovative mixing unit for intermediate mobile phase exchange in multidimensional analysis. Journal of Chromatography, A 1497, 70-80 (2017). https://doi.org/10.1016/j.chroma.2017.03.036
• A. Kensert, G. Collaerts, K. Efthymiadis, G. Desmet, D. Cabooter, Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatography. Journal of Chromatography, A 1638, In Press (2021). https://doi.org/10.1016/j.chroma.2021.461900
• A. Kensert, R. Bouwmeester, K. Efthymiadis, P. Van Broeck, G. Desmet, D. Cabooter, Graph convolutional networks for improved prediction and interpretability of chromatographic retention data. Analytical Chemistry 93(47) 15633-15641 (2021). https://doi.org/10.1021/acs.analchem.1c02988

More about our hosts:

Dwight Stoll, PhD:

Dwight R. Stoll is a professor of chemistry at Gustavus Adolphus College in St. Peter, Minnesota. He received his PhD from the University of Minnesota, under Professor Peter Carr, working on the development of fast, comprehensive two-dimensional liquid chromatography (2D-LC). Stoll’s current primary research focus is on the development of 2D-LC for both targeted and untargeted analyses. Active research projects in his laboratory touch on most aspects of multidimensional separation methodologies, including optimization strategies, characterization of selectivity in reversed-phase LC, instrument development, and applications in biopharmaceutical analysis. Stoll is the author or co-author of more than 80 peer-reviewed publications and six book chapters and has instructed numerous short courses in 2D-LC. In 2011 he was the recipient of LCGC’s Emerging Leader in Chromatography Award. In 2017 he received the Georges Guiochon Faculty Fellowship, and was recognized with an Agilent Technologies Thought Leader Award. He is also a member of LCGC’s editorial advisory board and is the editor of the “LC Troubleshooting” column in LCGC.

Jerome Workman, Jr., PhD:

Jerome (Jerry) J. Workman, Jr. is the Senior Technical Editor for LCGC and Spectroscopy. He has held positions as CTO, executive VP, senior research fellow, director, and senior scientist at companies of all sizes, from start-ups to world-leading corporations. He has been an adjunct faculty member of four universities and advised multiple graduate students. He has more than 75 U.S. and international patent applications and 30 issued U.S. and international patents and multiple trade secrets, as well as 500+ technical publications, and 20 reference book volumes on a broad range of spectroscopy and data processing techniques. He has received multiple awards from scientific societies, and has taught annual courses in spectroscopy, chemometrics, and statistics for the AOAC, ACS, ISA, FACSS, and at several universities and corporations. He is a Fellow of the American Institute of Chemists (FAIC), the American Society for Testing and Materials (ASTM), and the Royal Society of Chemistry in the UK (FRSC, CChem, CSci). Jerry holds B.A and M.A degrees from Saint Mary's University of Minnesota, and a PhD degree from Columbia Pacific University working in near-infrared spectroscopy. He is an alumnus of both Columbia University Business School and the MIT Sloan School of Management.

About the Analytically Speaking Podcast:

Analytically Speaking, the podcast from LCGC and Spectroscopy, addresses important issues in separation science and analytical spectroscopy. Topics include new analytical techniques, methods, and approaches; the latest trends; advances in instrument and software technology; practical solutions for specific applications; recent papers in the scientific literature and their applicability; challenges and solutions for data analysis and interpretation; analytical chemistry theory and fundamentals (from advanced research to tutorials and troubleshooting); and more. Our regular hosts are Dwight Stoll, PhD, a professor of chemistry at Gustavus Adolphus College in St. Peter, Minnesota, and Jerry Workman, PhD, a spectroscopist, noted author, and currently the Senior Technical Editor of Spectroscopy and LCGC. Dwight covers separation science and Jerry addresses spectroscopy related topics.

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