Sukhdeep Kaur, Rupendeep Kaur, Deep Kamal Kaur Randhawa, Manjit Sandhu, Harmandar Kaur
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Detection of arsenic impurities using tetracene-based molecular junctions
Major advances in molecular diagnostics have fueled the search for nanosensors that can detect anomalies in their early stages of development. In this research work, we have investigated a tetracene molecule bridged between gold electrodes in a device configured for sensor application in medical diagnostics. Density functional theory (DFT) and non-equilibrium Green’s (NEGF) functions have been utilized to study the feasibility of tetracene molecular junctions for detecting the presence of arsenic and tracing its concentration. In this context, transmission spectra, molecular-projected self-consistent Hamiltonian (MPSH), current–voltage curve, conductance trends, and HOMO–LUMO gap (HLG) at different operating voltages are determined. Notably, during exposure of the molecular junction to varying concentrations of arsenic, substantial changes are detected in the electron transport properties. Both the conductance and current of the molecular junction escalates with the increase in impurity of the arsenic atoms, thus proving that tetracene is a suitable candidate to be explored as a nanosensor.
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.