Theoretical Calculations in Separation Science for Analytical Chemistry: Applications and Insights.

Area of Science:

• Analytical Chemistry
• Materials Science
• Computational Science

Background:

• Effective separation and enrichment are crucial for analytical detection, requiring advanced materials with high selectivity and adsorption capabilities.
• Computational simulation offers a theoretical basis for understanding interaction mechanisms and optimizing separation material design.

Purpose of the Study:

• To review the applications of computational simulations in separation science for analytical chemistry.
• To focus on the simulation-driven separation of polar molecules, geometric isomers, enantiomers, and modified peptides.

Main Methods:

• Quantum chemistry calculations
• Molecular docking simulations
• Molecular dynamics simulations
• High-throughput screening
• Machine learning approaches

Main Results:

• Computational simulations provide insights into the structures, properties, and performance of separation materials across multiple scales.
• Simulation methods facilitate the investigation of adsorption/desorption processes and interaction mechanisms.

Conclusions:

• Computational simulation is an indispensable tool in modern separation science for analytical applications.
• The review discusses current challenges and future breakthroughs in computational simulation for material development and separation.