Graduate Exam Abstract

William Tedjo

Ph.D. Preliminary
August 17, 2018, 1:00 pm - 3:00 pm
Lory Student Center 308
CMOS Electro-chemical Biosensor Micro-Electrode Array System

Abstract: A high spatiotemporal resolution CMOS electro-chemical biosensor micro-electrode
array system is presented. The custom designed CMOS microchip was fabricated
under 3M 600nm process with 128 × 128 (27.5 um pitch) Working Electrode (WE)
sensing points and evenly distributed Auxiliary Electrodes (AE) and Reference
Electrodes (RE). In the current state of hardware-software development, the system
is capable of simultaneously detects chemical gradients at 16,384 WE surface with
50pA sensitivity at four frames per seconds rate. Selectivity towards different
analytes is also presented utilizing electrochemically active neurotransmitter
(norepinephrine) and uric acid. Future works include: in depth analysis of selectivity
using cyclic and differential pulse voltammetry; application in other significant
analytes (oxygen, glucose, and lactose); and overall system improvements both in
technical and user-friendliness aspects.

Adviser: Tom Chen
Co-Adviser: N/A
Non-ECE Member: Stuart Tobet, Biomedical Sciences
Member 3: George Collins, Electrical and Computer Engineering
Addional Members: Jesse Wilson, Electrical and Computer Engineering

[1] W. Tedjo, J. E. Nejad, R. Feeny, L. Yang, C. S. Henry, S. Tobet, and T. Chen, “Electrochemical biosensor system using a CMOS microelectrode array provides high spatially and temporally resolved images,” Biosens. Bioelectron., vol. 114, pp. 78–88, Aug. 2018.
[2] W. Tedjo, R. Feeny, C. Eitel, L. Schwerdtfeger, S. Willett, C. Henry, S. Tobet, and T. Chen, “Design of an integrated microelectrode array system for high spatiotemporal resolution chemical imaging,” in 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2016, pp. 46–49.

Program of Study:
ECE534 - Analog Integrated Circuit Design
ECE571 - VLSI System Design
ECE580A4 - Design and Analysis of Analog Digital C
ECE623 - Electric Power Quality
MATH535 - Foundations of Applied Mathematics
STAA552 - Generalized Regression Models
BIOM581B1 - Cells as Circuits
CM580A2 - Basic Microbiology for Non-Biologists