Title :
Performance analysis of a Si-NW biosensor for detection of charged biomolecules
Author :
Munna, Mohiuddin ; Islam, Md Olioul ; Kabiruzzaman, Md ; Mahmood, Zahid Hasan
Author_Institution :
Dept. of Electr. & Electron. Eng., Shahjalal Univ. of Sci. & Technol., Sylhet, Bangladesh
Abstract :
Biosensors based on Si-NW have already demonstrated for the detection of DNA, proteins, pH levels, etc. Although it is generally accepted that Si-NWs with lower doping density and smaller diameter provides better sensitivity, the influence of factors like surrounding environment (air/water) and electrostatic screening due to the ions in the solution on NW sensor, performance needs to be explained for the systematic optimization of sensor design. In this theoretical study a simple analytical model, based on reaction-diffusion theory is developed to predict the trade-off between average response time and minimum detectable concentration. Investigating the average response time this study shows that, Si-NW sensor gives faster response than that of nanoscale ISFET sensor. Also the PoissonBoltzmann equation is solved numerically and analytically based on the result of the diffusion-capture model to show that the electrostatic screening within an ionic environment limits the response of a Si-NW biosensor. This study concludes that, the parameters such as the dimension of the Si-NW, the doping level of the Si-NW, the ions concentration in the solvent, pH of the solution etc that limit the performance of a Si-NW sensor must be optimized for high sensitivity biomolecule detection. Numerical simulation is carried out using biosensorLAB tool, a simulator from Nanohub.org, which is an online based java platform engine.
Keywords :
Boltzmann equation; DNA; Poisson equation; biochemistry; biosensors; electrochemical sensors; ion sensitive field effect transistors; molecular biophysics; nanosensors; nanowires; numerical analysis; pH; proteins; reaction-diffusion systems; silicon; DNA; Nanohub.org; Poisson-Boltzmann equation; Si; Si-NW biosensor; Si-NW dimension; average response time; biosensorLAB tool; charged biomolecule detection; diffusion-capture model; doping density; doping level; electrostatic screening; high sensitivity biomolecule detection; ion concentration; ionic environment limits; minimum detectable concentration; nanoscale ISFET sensor; numerical simulation; online based java platform engine; pH levels; performance analysis; proteins; reaction-diffusion theory; sensor design; simple analytical model; solution pH; solvent; surrounding environment; systematic optimization; theoretical study; trade-off; Biosensors; Equations; Ions; Mathematical model; Molecular biophysics; Nanobioscience; Sensitivity;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-5179-6
DOI :
10.1109/ICIEV.2014.6850717