Literature DB >> 31967830

Relation between Local Structure, Electric Dipole, and Charge Carrier Dynamics in DHICA Melanin: A Model for Biocompatible Semiconductors.

Micaela Matta1, Alessandro Pezzella2,3, Alessandro Troisi1.   

Abstract

Eumelanins are a family of natural and synthetic pigments obtained by oxidative polymerization of their natural precursors: 5,6-dihydroxyindole and its 2-carboxy derivative (DHICA). The simultaneous presence of ionic and electronic charge carriers makes these pigments promising materials for applications in bioelectronics. In this computational study we build a structural model of DHICA melanin considering the interplay between its many degrees of freedom, and then we examine the electronic structure of representative oligomers. We find that a nonvanishing dipole along the polymer chain sets this system apart from conventional polymer semiconductors, determining its electronic structure, reactivity toward oxidation and localization of the charge carriers. Our work sheds light on previously unnoticed features of DHICA melanin that not only fit well with its radical scavenging and photoprotective properties but also open new perspectives toward understanding and tuning charge transport in this class of materials.

Entities:  

Year:  2020        PMID: 31967830     DOI: 10.1021/acs.jpclett.9b03696

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  3 in total

Review 1.  The Photophysics and Photochemistry of Melanin- Like Nanomaterials Depend on Morphology and Structure.

Authors:  Alexandra Mavridi-Printezi; Arianna Menichetti; Moreno Guernelli; Marco Montalti
Journal:  Chemistry       Date:  2021-10-15       Impact factor: 5.020

Review 2.  Melanins as Sustainable Resources for Advanced Biotechnological Applications.

Authors:  Hanaa A Galeb; Emma L Wilkinson; Alison F Stowell; Hungyen Lin; Samuel T Murphy; Pierre L Martin-Hirsch; Richard L Mort; Adam M Taylor; John G Hardy
Journal:  Glob Chall       Date:  2020-11-25

3.  Fingerprint-based deep neural networks can model thermodynamic and optical properties of eumelanin DHI dimers.

Authors:  Daniel Bosch; Jun Wang; Lluís Blancafort
Journal:  Chem Sci       Date:  2022-07-04       Impact factor: 9.969

  3 in total

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