This tool version is unpublished and cannot be run. If you would like to have this version staged, you can put a request through HUB Support.
The response of a sensor is characterized in terms of its Settling time, Sensitivity and Selectivity. The time taken by the sensor to produce a stable signal change defines the settling time. It is determined by bio-molecule concentration, their diffusion coefficients, and their conjugation affinity to the receptor molecules. Sensitivity corresponds to the relative change in sensor characteristics upon attachment of target molecules on nanowire surface. This is determined mainly by the electrostatics of the system. Finally, Selectivity denotes the ability of receptors to bind with the desired target in the presence of various other (possibly similar) biomolecules and is entirely determined by the functionalizing schemes. For example, to detect DNA, Peptide Nucleic Acid (PNA) receptors are shown to be more selective than their DNA counterparts.
The performance parameters of nanobiosensors (Settling time, Sensitivity, and Selectivity) can be estimated using this tool. The theoretical model is based on self-consistent solutions of Diffusion-Capture model (for the time response), Poisson-Boltzmann and Drift-Diffusion Equations (for electrolyte screening and conductance modulation) and the statistical properties of bio-molecule adsorption (Selectivity).
Through this tool, you can now analyze the performance of a wide variety of sensors like: Planar ISFETS, cylindrical NWs, Nanosphere, magnetic particle based schemes, and Double gate FETs. For more details, please refer the publications listed for each category.
Prof. Alam's lecture on Geometry of Diffusion and the Performance Limits of Nanobiosensors provides an overview on the Diffusion-Capture model and its implications on sensor performance. A User Manual for the tool can be found here User Manual