Issue 3, 2017

Computational studies on the interactions of glycine amino acid with graphene, h-BN and h-SiC monolayers

Abstract

In the present work, the adsorption of glycine amino acid and its zwitterionic form onto three different hexagonal sheets, namely graphene, boron-nitride (h-BN) and silicon carbide (h-SiC), has been investigated within the framework of Density Functional Theory (DFT) calculations. The energetics and geometrical parameters of the considered systems have been explored at the GGA-PBE level in combination with Grimme's empirical dispersion corrections with Becke–Johnson damping, the DFT-D3(BJ) method. Based on the obtained results, we found that both the glycine molecule and its zwitterionic conformation tend to be chemisorbed onto the surface of h-SiC (Eads ranges from −1.01 to −1.319 eV) while the types of interactions are recognized to be of non-covalent nature for the case of graphene (Eads ranges from −0.121 to −0.345 eV) and h-BN (Eads ranges from −0.103 eV to −0.325 eV) systems. Moreover, the empirical dispersion corrections applied in these calculations significantly improved the results and confirmed the crucial role of dispersion corrections in obtaining reliable geometries and adsorption energies. Our findings revealed that the electronic properties of the considered systems did not change during the adsorption process and these monolayers preserve their inherent electronic properties as they interact with the glycine molecule. Using the SMD implicit solvation model, the effect of solvation has also been evaluated by re-optimizing the structures within a medium with a dielectric constant of 78.39 (liquid water) and it has been shown that the strength of the interaction between the glycine conformers and hexagonal sheets has decreased. The accuracy of the obtained values has been evaluated by some benchmark calculations at the hybrid PW6B95 level of theory and reasonable consistency is found between the results of the PBE-D3 method and our benchmark system. In summary, h-SiC exhibited the highest affinity toward glycine conformers and gained an important edge over other monolayers. Our findings would actively encourage experimentalists to explore the potential applications of these materials in drug delivery, biofunctionalization of nanostructured monolayers as well as electronic and nanosensor devices.

Graphical abstract: Computational studies on the interactions of glycine amino acid with graphene, h-BN and h-SiC monolayers

Supplementary files

Article information

Article type
Paper
Submitted
28 Sep 2016
Accepted
05 Dec 2016
First published
05 Dec 2016

Phys. Chem. Chem. Phys., 2017,19, 1896-1908

Computational studies on the interactions of glycine amino acid with graphene, h-BN and h-SiC monolayers

H. T. Larijani, M. Jahanshahi, M. D. Ganji and M. H. Kiani, Phys. Chem. Chem. Phys., 2017, 19, 1896 DOI: 10.1039/C6CP06672K

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