Quantum chemically calculated abraham parameters for quantifying and predicting polymer hydrophobicity.

Environ Toxicol Chem

Environmental Science Division, Argonne National Laboratory, Lemont, IL, 60439, USA.

Published: January 2025

The leakage and accumulation of plastic in the environment is a significant and growing problem with numerous detrimental impacts and has led to a push toward the design and development of more environmentally benign materials. To this end we have developed a quantum chemistry (QC) based model for predicting the mobility of polymer materials from molecular structure. Hydrophobicity is used as a surrogate for mobility given that hydrophobic interactions drive much of the partitioning of contaminants in and out of various environmentally relevant compartments. To model polymer hydrophobicity we adjusted a previously developed Quantum Chemically Calculated Abraham Parameter (QCAP) model to calculate Abraham Parameters (AP) of small molecules from molecular structure information. The resulting model predicted the octanol-water partition coefficient (KOW) of polymer repeating units with a root mean square error (RMSE) of 0.48 (log scale). Additionally, the hydrophobicity of high molecular weight polymer materials was captured though solubility parameters and nile red staining experiments from the literature and predicted with RMSEs of 1.21 (J/cc)0.5 and 3.42 nm respectively. Finally, to test the environmental applicability of the model the relative adsorption capacity of three polymers were predicted and used to unify sorption isotherms across multiple sorbates and polymer sorbents.

Download full-text PDF

Source
http://dx.doi.org/10.1093/etojnl/vgae062DOI Listing

Publication Analysis

Top Keywords

quantum chemically
8
chemically calculated
8
calculated abraham
8
abraham parameters
8
polymer hydrophobicity
8
developed quantum
8
polymer materials
8
molecular structure
8
polymer
6
model
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!