Bench and industrial chemists use chromatography to separate a wanted analyte from a mixture. Since the 1920s, the accepted strategies to optimize a separation involve empirical methods and models. Now that pharmaceutical compounds are largely comprised of ‘biologic’ actives such as proteins, empirical optimization assigns a very high economic value to a process that most chemists take for granted. When the cost to bring one biologic to market is over two billion dollars, there is a strong incentive to reexamine our understanding of the interactions between analyte and stationary phase. The Landes Research Group seeks to relate the chemistry and physics of individual proteins interacting with a porous stationary support with newer, predictive models of chromatography. The interdisciplinary nature of our research group allows us to design new ways to study analyte-support interactions under the microscope and develop new theories towards a predictive, mechanistic description of chromatography.
Bishop, L. D. C., Misiura, A., Moringo, N. A., Landes, C. F. , "Unraveling peak asymmetry in chromatography through stochastictheory powered Monte Carlo simulations" J. Chromatogr. A 1625 (2020) 461323
Moringo, N.A., Shen, H., Tauzin, L.J., Wang, W., Landes, C.F., "Polymer free volume effects on protein dynamics at polystyrene revealed by single-molecule spectroscopy" Langmuir 2020, 36, 9, 2330-2338.