Skip to main
Math equations

Applied and Computational Math Seminar: Transport Phenomena in Field Effect Transistors

Transport Phenomena in Field Effect Transistors

Ryan Evans 1,∗, Arvind Balijepalli 2 Tony Kearsley1 1 Applied and Computational Mathematics Division
2 Microsystems and Nanotechnology Division National Institute of Standards and Technology
100 Bureau Drive
Gaithersburg
MD 20899
∗ ryan.evans@nist.gov

Abstract

Tailoring therapies to individuals for personalized care can be safer and yield superior outcomes at lower doses for conditions such as diabetes, Alzheimers disease, or even certain cancers. However, widespread use of personalized care is currently limited by our inability to routinely measure pathology and detect biomarkers. Moreover, existing strategies require specialized facilities, and can be expensive and slow to perform. This has led to the development of a new portable detection tool known as a biological field effect transistor (Bio-FET). Very well-suited for biomarker measurements due their high charge sensitivity and direct signal transduction, Bio-FETs allow label-free measurements at physiological concentrations. Chemical reactants are injected at the top of a solution-well and diffuse through the well to bind with another chemical reactant immobilized on the well-floor. A resulting response curve allows for biomarker measurement and estimation of key parameters, such as binding affinities. A collection of mathematical models for FET experiments will be presented taking the form of a diffusion coupled to a nonlinear equation that describes the evolution of the reacting species concentration.

* The programs and services offered by George Mason University are open to all who seek them. George Mason does not discriminate on the basis of race, color, religion, ethnic national origin (including shared ancestry and/or ethnic characteristics), sex, disability, military status (including veteran status), sexual orientation, gender identity, gender expression, age, marital status, pregnancy status, genetic information, or any other characteristic protected by law. After an initial review of its policies and practices, the university affirms its commitment to meet all federal mandates as articulated in federal law, as well as recent executive orders and federal agency directives.