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We use the stochastic linearized Poisson-Boltzmann equation to model the fluctuations in nanowire field-effect biosensors due to changes in the orientation of the biomolecules. Different orientations of the biomolecules with respect to the sensor surface due to Brownian motion have different probabilities. The probabilities of the orientations are calculated from their electrostatic free energy. The...
This modeling work examines the critical role of nanowire surface properties in its DNA sensing performance in terms of both signal levels and input dynamic ranges. Such properties include surface charge group density, oxide thickness and oligomer surface density, charges and energetic heterogeneity. The presence of surface charge groups are shown to contribute to additional charge screening. The...
Device-level simulation capabilities have been developed to self-consistently model the Si-nanowire (NW) biosensor systems. Our numerical study demonstrates that by introducing electro-diffusion current flow in the electrolyte solutions, the electrostatic screening of the biological charge can be significantly suppressed; an improvement of the sensed signal strength by >ap10X is indicated. Based...
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