posted on 2020-11-04, 16:11authored byJeffrey C. Foster, Irem Akar, Marcus C. Grocott, Amanda K. Pearce, Robert T. Mathers, Rachel K. O’Reilly
The seemingly simple notion of the hydrophobic effect can be viewed
from multiple angles involving theory, simulation, and experiments.
This viewpoint examines five attributes of predictive models to enhance
synthetic efforts as well as experimental methods to quantify hydrophobicity.
In addition, we compare existing predictive models against experimental
data for polymer surface tension, lower critical solution temperature,
solution self-assembly morphology, and degradation behavior. Key conclusions
suggest that both the Hildebrand solubility parameters (HSPs) and
surface area-normalized Log P (Log P SA–1) values provide unique and complementary
insights into polymer phenomena. In particular, HSPs appear to better
describe bulk polymer phenomena for thermoplastics such as surface
tension, while Log P SA–1 values
are well-suited for describing and predicting the behavior of polymers
in solution.