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BioSensorLab
BioSensorLab is a tool to evaluate and predict the performance parameters of Biosensors.
Launch Tool
Archive Version 1.5
Published on 16 Oct 2013 All versions
doi:10.4231/D3MS3K19M cite this
Category
Published on
Abstract
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 biomolecule 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 selfconsistent solutions of DiffusionCapture model (for the time response), PoissonBoltzmann and DriftDiffusion Equations (for electrolyte screening and conductance modulation) and the statistical properties of biomolecule 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, 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 DiffusionCapture model and its implications on sensor performance.
A User Manual for the tool can be found here User Manual
Credits
Sponsored by
National Institute of Health (NIH). Network for Computational Nanotechnology (NCN). Materials Structures and Devices Center of the Semiconductor Research Center (MSDFCRP).
References
Settling Time
P. R. Nair and M. A. Alam, "Theoretical detection limits of magnetic biobarcode sensors and the phase space of nanobiosensing," Analyst, (2010).
P. R. Nair and M. A. Alam, "Kinetics of surfaces defined by finite fractals," Fractals, (2010).
P. R. Nair and M. A. Alam, "Dimensionally Frustrated Diffusion towards Fractal Adsorbers," Physical Review Letters, 99, 256101 (2007).
P. R. Nair and M. A. Alam, "Performance Limits of Nanobiosensors," Applied Physics Letters, 88, 233120 (2006).
Sensitivity
P. R. Nair and M. A. Alam, "ScreeningLimited Response of Nanobiosensors," Nano Letters, 8, 1281, (2008).
P. R. Nair and M. A. Alam, "Design Considerations of Silicon Nanowire Biosensors," IEEE Transactions on Electron Devices, 54, 3400 (2007).
J. Go, P. R. Nair and M. A. Alam, "Beating the Nernst limit with nanoscale double gate field effect transistors and its application for biomolecule detection, International Electron Devices Meeting (2010).
Selectivity
P. R. Nair and M. A. Alam, "Theory of 'Selectivity' of labelfree biosensors," Journal of Applied Physics, 107, 064701, (2010).
Statistical fluctuations
J. Go and M. A. Alam, "Statistical interpretation of femtomolar detection, 95, 033110 (2009).
Cite this work
Researchers should cite this work as follows:

P. R. Nair and M. A. Alam, Physical Review Letters, 99, 256101 (2007). P. R. Nair and M. A. Alam, Applied Physics Letters, 88, 233120 (2006).