Triacylglyceride melting point determination using coarse-grained molecular dynamics.

Area of Science:

• Computational chemistry
• Materials science
• Thermodynamics

Background:

• Accurate prediction of melting points is crucial for understanding material properties.
• Molecular dynamics simulations offer a powerful tool for studying phase transitions.
• Triacylglycerides are important in various industries, necessitating precise property determination.

Purpose of the Study:

• To evaluate the COGITO force field's ability to predict the thermodynamic melting point of pure triacylglyceride crystals.
• To assess the robustness of molecular dynamics simulations for both saturated/unsaturated and symmetrical/asymmetrical triacylglycerides.
• To develop and validate a direct heating methodology for melting point prediction.

Main Methods:

• Utilized the COGITO force field for molecular dynamics simulations.
• Employed a direct heating methodology with a large number of simulations for convergence.
• Introduced artificial voids (defects) to mitigate superheating and lower nucleation energy barriers.

Main Results:

• The study successfully predicted the melting points of various triacylglycerides.
• The presence of voids was shown to be critical for avoiding superheating and achieving accurate results.
• The developed methodology demonstrated robustness across different triacylglyceride types.

Conclusions:

• Molecular dynamics simulations, when incorporating defects, can accurately predict triacylglyceride melting points.
• The COGITO force field is suitable for simulating triacylglyceride melting behavior.
• The direct heating methodology provides a reliable approach for determining crystal melting points.