Abstract
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.
Original language | English |
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Pages (from-to) | 1700-1707 |
Number of pages | 8 |
Journal | ACS Macro Letters |
Volume | 9 |
Issue number | 11 |
DOIs | |
State | Published - Nov 17 2020 |
Externally published | Yes |
Funding
This work is supported by the Ministry of Turkish Education, EPSRC (EP/S00338X/1), ERC Consolidator Grant (No. 615142) and the University of Birmingham.
Funders | Funder number |
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Ministry of Turkish Education | |
Seventh Framework Programme | 615142 |
Engineering and Physical Sciences Research Council | EP/S00338X/1 |
European Research Council | |
University of Birmingham |