時間：2026-05-29(五) 15:20 pm

講題：Modeling the Retention Behaviors in Liquid Chromatography

講者：崔宏瑋 教授

服務單位：台灣大學化學工程學系

地點：93406

主持人：李瑞元 教授

摘要：

Liquid chromatography (LC) is a cornerstone technique in the pharmaceutical and chemical industries for separation and purification. However, method development often relies heavily on time-consuming trial-and-error approaches. This presentation introduces a systematic theoretical framework to describe and predict retention behaviors, bridging microscopic molecular interactions with macroscopic separation performance. In reversed-phase LC, we present a retention model that elucidates the dependence of solute retention on solvent composition. Regarding chiral separations, we developed an enantioselectivity model based on the concept of heterogeneous adsorption. We also discuss how mobile phase composition induces conformational changes in chiral selectors, leading to the enantiomer elution order reversal. We revisit fundamental thermodynamic concepts by examining the relationship between hold-up volume and adsorption layer thickness, proposing methods to improve the accuracy of adsorption measurement. These model-oriented approaches aim to improve the predictability of separation methods and facilitate the rational design of purification processes.

學經歷 :

Hung-Wei Tsui is currently an Associate Professor in the Department of Chemical Engineering at National Taiwan University (NTU). He received his B.S. and M.S. degrees from NTU and earned his Ph.D. in Chemical Engineering from Purdue University, USA, in 2013, under the guidance of Professors Nien-Hwa Linda Wang and Elias I. Franses. Before joining NTU, he served as a faculty member at the National Taipei University of Technology. Dr. Tsui's research centered around exploring molecular recognition mechanisms in chromatographic processes. A combination of experimental and theoretical approaches was used to develop thermodynamic and kinetic models for chromatographic retention processes. By gaining a deeper understanding of retention and adsorption mechanisms, he has been able to design and optimize analytical methods and separation processes based on these models.