Sara Ghoreishizadeh

Thesis title: Integrated Electronics to Control and Readout Electrochemical Biosensors for Implantable Applications

Year: 2015

Readout circuit design for a real-time monitoring of human metabolites

Sara Ghoreishizadeh, PhD student, EPFL-IC-LSI
Sandro CarraraLecturer and Senior Scientist, EPFL-IC-LSI

Keywords: readout circuit, low power circuit, Integrated platform, Implantable biosensors, drug detection.

Electrochemical detection of biological agents in the human body is essential in realization of personalized drug therapies. New technologies are developing to monitor human metabolites and drugs concentration directly in patient’s blood using implantable biosensors.

Chronoamperometry (CA) and Cyclic voltammetry (CV) are used as the electrochemical techniques for the detection of endogenous and exogenous compounds, such as Glucose, Lactate, ATP and anti-cancer drugs.

According to the target molecule the choice of detection technique and the required actuation method is different. In CA method a DC potential, which its level changes according to the type of the molecule, is applied to the biosensor. While in CV method, a very slow triangular waveform is needed to activate the detection. All kinds of actuation should be design in CMOS level and integrated into the implantable biosensor to realize the biosensing platform.

On the other hand, these detection methods will convert the chemical properties of the solution into electrical variables such as voltage and current. A readout circuit should be carefully designed to pick up and amplify this weak and noisy electrical signal before sending the signal out of the body.  Moreover, resource constraint of the implanted system implies limitations on area and power consumption of the readout and actuator circuits.

The aim of this work is to design and implement low power and low noise analog/ mixed-signal integrated circuits for integrating CA and CV measurements as a tool to develop a low-cost chip for real time monitoring of human metabolic conditions in personalized therapy.

[1] S. S. Ghoreishizadeh, C. Baj-Rossi, S. Carrara, and G. De Micheli. Nano-Sensor and Circuit Design for Anti-Cancer Drug Detection. In Proceedings of the 5th IEEE/NIH Life Science Systems and Applications Workshop (LISSA), 2011.

[2] G. De Micheli, S. S. Ghoreishizadeh, C. Boero, F. Valgimigli, and S. Carrara. An Integrated Platform for Advanced Diagnostics. In Proceedings of Design, Automation and Test in Europe Conference (DATE), 2011.