Inelastic scattering due to vibrations is considered in the transver- sal tunneling current recognition of amino acids across a nano gap in graphene nanoribbons. Phonons and local vibrational modes assisted current tunneling is calculated by treating the electron-phonon scattering in the context of the lowest order expansion of the self-consistent Born approximation. We study the Gly and Ala homo-peptide cases as an example of very similar, small and neutral amino- acid that would be undistinguishable by means of standard techniques, such as the ionic blockade current, in real peptides. We show that all the inelastic contribu- tions to the tunneling current are in the bias range 0 V ≤ V ≤ 0.5 V and that they can be classified, from the atomistic point of view, in terms of energy sub-ranges they belong to. Peculiar fingerprints can be found for the typical configurations that have been recently found for peptide bonds recognition by tunneling current.

Peptide bond recognition via vibration assisted electron tunneling in graphene nano device / Zollo, Giuseppe. - (2019), pp. 187-200.

Peptide bond recognition via vibration assisted electron tunneling in graphene nano device

Giuseppe Zollo
2019

Abstract

Inelastic scattering due to vibrations is considered in the transver- sal tunneling current recognition of amino acids across a nano gap in graphene nanoribbons. Phonons and local vibrational modes assisted current tunneling is calculated by treating the electron-phonon scattering in the context of the lowest order expansion of the self-consistent Born approximation. We study the Gly and Ala homo-peptide cases as an example of very similar, small and neutral amino- acid that would be undistinguishable by means of standard techniques, such as the ionic blockade current, in real peptides. We show that all the inelastic contribu- tions to the tunneling current are in the bias range 0 V ≤ V ≤ 0.5 V and that they can be classified, from the atomistic point of view, in terms of energy sub-ranges they belong to. Peculiar fingerprints can be found for the typical configurations that have been recently found for peptide bonds recognition by tunneling current.
2019
High Performance Computing on CRESCO infrastructure: research activities and results 2019
978-88-8286-403-3
Density Functional Theory, non equilibrium Green function, vibrational modes, protein sequencing, amino acid recognition, graphene nanoribbons
02 Pubblicazione su volume::02a Capitolo o Articolo
Peptide bond recognition via vibration assisted electron tunneling in graphene nano device / Zollo, Giuseppe. - (2019), pp. 187-200.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1560519
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