Molecular simulation studies of reversed-phase liquid chromatography

Area of Science:

• Analytical Chemistry
• Physical Chemistry
• Computational Chemistry

Background:

• Molecular simulation methods have been extensively applied to reversed-phase liquid chromatography (RPLC) modeling over the last two decades.
• Understanding RPLC requires detailed molecular-level insights into the bonded phase, mobile phase interface, and analyte interactions.
• Significant challenges exist in accurately simulating chromatographic systems, particularly concerning force field precision and sampling algorithm efficiency.

Purpose of the Study:

• To provide a molecular-level understanding of reversed-phase liquid chromatography (RPLC) systems.
• To elucidate the structure, dynamics, and interactions within RPLC, including the bonded phase, mobile phase, and analytes.
• To review the historical development and application of molecular simulation techniques in RPLC.

Main Methods:

• Review of molecular dynamics (MD) and Monte Carlo (MC) simulation techniques applied to RPLC.
• Discussion of challenges in molecular mechanics force field accuracy and sampling algorithm efficiency.
• Analysis of literature examples using MD for dynamics and transport properties, and MC for phase equilibria and sorption.

Main Results:

• Molecular simulations provide detailed insights into bonded-phase structure, dynamics, and analyte interactions.
• MD simulations offer information on chain dynamics and transport properties in RPLC.
• MC simulations are effective for investigating phase and sorption equilibria crucial for RPLC retention.

Conclusions:

• Molecular simulations are powerful tools for understanding RPLC at a molecular level.
• Both MD and MC methods contribute valuable, complementary information about RPLC systems.
• Further advancements in force fields and sampling are needed to overcome simulation challenges in RPLC.