Molecular dynamics simulation of three plastic additives' diffusion in polyethylene terephthalate.
Bo LiZhi-Wei WangQin-Bao LinChang-Ying HuPublished in: Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment (2017)
Accurate diffusion coefficient data of additives in a polymer are of paramount importance for estimating the migration of the additives over time. This paper shows how this diffusion coefficient can be estimated for three plastic additives [2-(2'-hydroxy-5'-methylphenyl) (UV-P), 2,6-di-tert-butyl-4-methylphenol (BHT) and di-(2-ethylhexyl) phthalate (DEHP)] in polyethylene terephthalate (PET) using the molecular dynamics (MD) simulation method. MD simulations were performed at temperatures of 293-433 K. The diffusion coefficient was calculated through the Einstein relationship connecting the data of mean-square displacement at different times. Comparison of the diffusion coefficients simulated by the MD simulation technique, predicted by the Piringer model and experiments, showed that, except for a few samples, the MD-simulated values were in agreement with the experimental values within one order of magnitude. Furthermore, the diffusion process for additives is discussed in detail, and four factors - the interaction energy between additive molecules and PET, fractional free volume, molecular shape and size, and self-diffusion of the polymer - are proposed to illustrate the microscopic diffusion mechanism. The movement trajectories of additives in PET cell models suggested that the additive molecules oscillate slowly rather than hopping for a long time. Occasionally, when a sufficiently large hole was created adjacently, the molecule could undergo spatial motion by jumping into the free-volume hole and consequently start a continuous oscillation and hop. The results indicate that MD simulation is a useful approach for predicting the microstructure and diffusion coefficient of plastic additives, and help to estimate the migration level of additives from PET packaging.
Keyphrases
- molecular dynamics
- ionic liquid
- computed tomography
- pet ct
- molecular dynamics simulations
- density functional theory
- positron emission tomography
- magnetic resonance imaging
- diffusion weighted imaging
- stem cells
- depressive symptoms
- single cell
- high frequency
- molecular docking
- mass spectrometry
- cell therapy
- artificial intelligence
- contrast enhanced