Back to Search
Start Over
Star-Polymer-DNA Gels Showing Highly Predictable and Tunable Mechanical Responses
- Publication Year :
- 2021
- Publisher :
- American Chemical Society (ACS), 2021.
-
Abstract
- Dynamically crosslinked gels are appealing materials for applications that require time-dependent mechanical responses. DNA duplexes are ideal crosslinkers for building such gels because of their excellent sequence addressability and flexible tunability in bond energy. However, the mechanical responses of most DNA gels are complicated and unpredictable despite the high potential of DNA. Here, we demonstrate a DNA gel with a highly homogeneous gel network and well-predictable mechanical behaviors by using a pair of star-polymer-DNA precursors with presimulated DNA sequences showing the two-state transition. The melting curve analysis of the DNA gels reveals the good correspondence between the thermodynamic potentials of the DNA crosslinkers and the presimulated values by DNA calculators. Stress-relaxation tests and dissociation kinetics measurements show that the macroscopic relaxation time of the DNA gels is approximately equal to the lifetime of the DNA crosslinkers over four orders of magnitude from 0.1-2,000 sec. Furthermore, a series of durability tests find the DNA gels are hysteresis-less and self-healable after the applications of repeated temperature and mechanical stimuli. These results demonstrate the great potential of star-polymer-DNA precursors for building gels with predictable and tunable viscoelastic properties, suitable for applications such as stress-response extracellular matrices, injectable solids, and soft robotics.
- Subjects :
- Materials science
Polymers
Mechanical Engineering
Kinetics
stress relaxation
Temperature
DNA
self-assembly
Viscoelasticity
Melting curve analysis
chemistry.chemical_compound
thermodynamics
Chemical engineering
chemistry
Mechanics of Materials
kinetics
Stress relaxation
A-DNA
General Materials Science
Self-assembly
Bond energy
Gels
viscoelasticity
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....7398ae7ba64e775245becfba7efec737
- Full Text :
- https://doi.org/10.26434/chemrxiv-2021-pdgdb