Individual Identification of Amino Acids on an Atomically Thin Hydrogen Boride System Using Electronic Transport Calculations

Abstract

Recently synthesized two-dimensional hydrogen boride (HB) with a hexagonal boron network offers excellent opportunities for nanoscale electronic device applications. Herein, we have proposed a type of field-effect transistor (FET) nanodevice based on a two-dimensional HB sheet for individual identification of amino acids. Using first-principles consistent-exchange van der Waals density-functional (vdW-DF-cx) calculations, we have studied the effects produced by the adsorption of each amino acid on the electronic properties of the HB-based nanodevice for its detection. The adsorption energies, adsorption heights, and the charge transfer of each amino acid can be deliberated as demonstrative of all 10 amino acids: alanine (Ala), arginine (Arg), aspartic (Asp), glutamic acid (Glu), glycine (Gly), histidine (His), lysine (Lys), phenylalanine (Phe), proline (Pro), and tyrosine (Tyr). Furthermore, the electronic transport properties of the HB nanodevice and HB + amino acid setup are studied by the nonequilibrium Green’s function (NEGF) formalism combined with the density functional theory (DFT) approach. Our results show that the adsorption of each amino acid on the HB nanodevice gives Fano resonance in the electronic transmission function. The sensitivity analysis and current–voltage (I–V) characteristic results indicate that selective detection of amino acids is possible. Thus, we believe that the HB-based device may be promising for the prospect of protein sequencing.

Conductance and tunnelling current characteristics for individual identification of synthetic nucleic acids with a graphene device

“…Therefore, our results confirm that the quantum coherence is preserved in p-p interactions between the nanoelectrode and channel. 46 The same behavior can also be observed in three more systems Another important feature in the G 0 spectra is the appearance of a sharp resonance peaks below/above the E À E F for the B, P, S, and Z nucleobases, as shown in Fig. 4.…”

“…where f (E À m L ) and f (E À m R ) represents the Fermi-Dirac functions for the electrons in the L and R nanoelectrodes, respectively. 3,4,8,9,31,[38][39][40][41][42][43][44][45][46][47][48]…”

Electronic Conductance and Current Modulation through Graphdiyne Nanopores for DNA Sequencing

“…The translocation time depends on the rotation of the nucleobases relating to the coupling strength (i.e., interaction energy). The conductance sensitivity variation in the GDYNP device is less compared to that in graphene and other 2D material-based nanopore DNA sequencing devices. ,− ,, Therefore, in the experiment, it may facilitate rapid and controlled detection of the four nucleobases when transported through the GDYNP sequencing device. This further indicates that the GDYNP device could be an appropriate choice for the nanopore DNA sequencing device.…”

“…In this regard, solid-state nanomaterial-based devices have emerged as one of the most promising technologies that may decode the sequence of DNA nucleobases by reading electronic conductance and electric current signals. − Among them, atomically thick two-dimensional (2D) nanomaterials such as graphene and graphene like materials have been widely examined due to their one-atom thickness, high surface area, and interesting structural, electronic, and transport properties. − Nanopore, ,,,,− nanogap, ,,− ,,,− and nanochannel ,,,,− -based DNA sequencing techniques have been found to be very promising techniques for single-molecule (biomolecule) sensing due to their robustness under different biochemical (physical) environments, device integrability, and scalability when compared to biological nanopore-based DNA sequencing techniques. Furthermore, solid-state nanopores have the considerable potential to be implemented as a nanopore DNA sequencing device due to a better signal-to-noise ratio. ,,,, It works on current modulation through the nanopore device, which does not predominantly depend on tunneling.…”

Identifying DNA Nucleotides via Transverse Electronic Transport in Atomically Thin Topologically Defected Graphene Electrodes

“…Therefore, 8 × 1 × 1 k-points in the transport direction is sufficient for the transport calculations. The electric current ( I ) is calculated from the integration of the zero-bias transmission function. where T ( E , V b ) is the electronic transmission probability function of the electrons entering at energy ( E ) from the L to R electrode under an applied voltage bias ( V b ), f ( E – μ L, R ) is denoting the Fermi–Dirac distribution function of electrons in the L and R electrodes and μ L, R represents the chemical-potential where μ L/R = E F ± V b /2 are stimulated correspondingly up and down according to the E F . − …”