Literature DB >> 24215998

Insight into the interaction between DNA bases and defective graphenes: covalent or non-covalent.

Zhenfeng Xu1, Biswa Ranjan Meher1, Darnashley Eustache1, Yixuan Wang2.   

Abstract

Although some metal clusters and molecules were found to more significantly bind to defective graphenes than to pristine graphenes, exhibiting chemisorptions on defective graphenes, the present investigation shows that the adsorption of DNA bases on mono- and di-vacant defective graphenes does not show much difference from that on pristine graphene, and is still dominantly driven by noncovalent interactions. In the present study the adsorptions of the nucleobases, adenine (A), cytosine (C), guanine, (G), and thymine (T) on pristine and defective graphenes, are fully optimized using a hybrid-meta GGA density functional theory (DFT), M06-2X/6-31G*, and the adsorption energies are then refined with both M06-2X and B97-D/6-311++G**. Graphene is modeled as nano-clusters of C₇₂H₂₄, C₇₁H₂₄, and C₇₀H₂₄ for pristine, mono- and di-vacant defective graphenes, respectively, supplemented by a few larger ones. The result shows that guanine has the maximum adsorption energy in all of the three adsorption systems; and the sequence of the adsorption strength is G>A>T>C on the pristine and di-vacant graphene and G>T>A>C on the mono-vacant graphene. In addition, the binding energies of the DNA bases with the pristine graphene are less than the corresponding ones with di-vacant defective graphene; however, they are greater than those of mono-vacant graphene with guanine and adenine, while it is dramatic that the binding energies of mono-vacant graphene with thymine and cytosine appear larger than those of pristine graphene.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DFT-D; DNA bases; Defective graphene; Noncovalent interaction

Mesh:

Substances:

Year:  2013        PMID: 24215998      PMCID: PMC3877718          DOI: 10.1016/j.jmgm.2013.10.007

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


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