Literature DB >> 24651666

Tuning heterogeneous poly(dopamine) structures and mechanics: in silico covalent cross-linking and thin film nanoindentation.

Shangchao Lin1, Chun-Teh Chen, Igor Bdikin, Vincent Ball, José Grácio, Markus J Buehler.   

Abstract

Mussel-inspired synthetic poly(dopamine) thin films from dihydroxyphenylalanine (DOPA) and lysine, structurally similar to natural melanin, have drawn extensive interest as a versatile surface functionalization and coating material for use in a broad range of applications. In order to gain a better understanding of its complex and heterogeneous polymeric structure and mechanical properties, we report a computational model of poly(dopamine) by mimicking the polymerization process of the intermediate oxidized product of dopamine, 5,6-dihydroxyindole (DHI), via controlled in silico covalent cross-linking under the two most possible reaction schemes proposed in experiments. To validate our results using experiment, we synthesize poly(dopamine) thin films and perform experimental nanoindentations on the film. We observe an overall linear behavior for Young's modulus as a function of the degree of cross-linking, demonstrating the possibility of enhancing the mechanical robustness of poly(dopamine) materials by increasing the extent of polymerization. At the highest degree of polymerization considered (70%), the model mimics the linear tetrameric model for poly(dopamine) and melanin. At this degree of polymerization, we find a Young's modulus of 4.1-4.4 GPa, in agreement with our nanoindentation results of 4.3-10.5 GPa, previous experiments for natural melanin, as well as simulation results for the cyclic tetrameric melanin model (Chen et al., ACS Nano, 2013). Our results suggest that the non-covalent DHI aggregate model might not be appropriate to represent the structure of poly(dopamine) and melanin-like materials, since it gives a much smaller Young's modulus than the experimental lower bound. Our model not only nicely complements the previous computational work, but also provides new computational tools to study the heterogeneous structural and physicochemical properties of poly(dopamine) and melanin, as well as their formation pathways.

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Year:  2014        PMID: 24651666     DOI: 10.1039/c3sm51810h

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  6 in total

1.  Surface force measurements and simulations of mussel-derived peptide adhesives on wet organic surfaces.

Authors:  Zachary A Levine; Michael V Rapp; Wei Wei; Ryan Gotchy Mullen; Chun Wu; Gül H Zerze; Jeetain Mittal; J Herbert Waite; Jacob N Israelachvili; Joan-Emma Shea
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

2.  In situ insights into the nanoscale deposition of 5,6-dihydroxyindole-based coatings and the implications on the underwater adhesion mechanism of polydopamine coatings.

Authors:  Qinghua Lyu; Hongyan Song; Nikolai L Yakovlev; Wui Siew Tan; Christina L L Chai
Journal:  RSC Adv       Date:  2018-08-03       Impact factor: 3.361

3.  Deciphering Molecular Mechanisms of Interface Buildup and Stability in Porous Si/Eumelanin Hybrids.

Authors:  Elisa Pinna; Claudio Melis; Aleandro Antidormi; Roberto Cardia; Elisa Sechi; Giancarlo Cappellini; Marco d'Ischia; Luciano Colombo; Guido Mula
Journal:  Int J Mol Sci       Date:  2017-07-19       Impact factor: 5.923

4.  Polydopamine and eumelanin molecular structures investigated with ab initio calculations.

Authors:  Chun-Teh Chen; Francisco J Martin-Martinez; Gang Seob Jung; Markus J Buehler
Journal:  Chem Sci       Date:  2016-11-02       Impact factor: 9.825

5.  Ultrathin thermoresponsive self-folding 3D graphene.

Authors:  Weinan Xu; Zhao Qin; Chun-Teh Chen; Hye Rin Kwag; Qinli Ma; Anjishnu Sarkar; Markus J Buehler; David H Gracias
Journal:  Sci Adv       Date:  2017-10-06       Impact factor: 14.136

Review 6.  Low Temperature Nanoindentation: Development and Applications.

Authors:  Shunbo Wang; Hongwei Zhao
Journal:  Micromachines (Basel)       Date:  2020-04-13       Impact factor: 2.891

  6 in total

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