Recently synthesized metallic cove-edged graphene nanoribbons are considered for use as one-dimensional (1D) electrodes for ideal atomistically resolved recognition of amino acids. To this purpose a narrow nanogap device is considered, and the transversal tunneling current flowing across it is calculated during the translocation of a model Gly homopeptide using the nonequilibrium Green function scheme, based on density functional theory. We show that the signal collected from the metallic spin states is characterized by a double peak per residue in analogy with the results obtained with 1D graphene nanoribbon template electrodes. The presented results pave the way for experimentally feasible atomistically resolved tunneling current recognition using metallic edge engineered graphene electrodes obtained by bottom-up fabrication strategies.
Ab initio properties of hybrid Cove-Edged graphene nanoribbons as metallic electrodes for peptide sequencing via transverse tunneling current / Zollo, Giuseppe; Civitarese, Tommaso. - In: ACS OMEGA. - ISSN 2470-1343. - 7:(2022), pp. 25164-25170. [10.1021/acsomega.2c01917]
Ab initio properties of hybrid Cove-Edged graphene nanoribbons as metallic electrodes for peptide sequencing via transverse tunneling current
Giuseppe Zollo
Primo
;Tommaso CivitareseSecondo
2022
Abstract
Recently synthesized metallic cove-edged graphene nanoribbons are considered for use as one-dimensional (1D) electrodes for ideal atomistically resolved recognition of amino acids. To this purpose a narrow nanogap device is considered, and the transversal tunneling current flowing across it is calculated during the translocation of a model Gly homopeptide using the nonequilibrium Green function scheme, based on density functional theory. We show that the signal collected from the metallic spin states is characterized by a double peak per residue in analogy with the results obtained with 1D graphene nanoribbon template electrodes. The presented results pave the way for experimentally feasible atomistically resolved tunneling current recognition using metallic edge engineered graphene electrodes obtained by bottom-up fabrication strategies.File | Dimensione | Formato | |
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