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Design Of A Biomarker Assay Based On Responsive Magnetic Nanoparticles

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Short Description

We are developing a biomarker assay based on responsive magnetic nanoparticles detected inductively via a unique readout device that applies a pulsed magnetic field. Through careful design and signal amplification, we hope to make the readout as sensitive as possible. The student would design and iterate toward an optimized version of the device. This is a joint project with the Responsive Biomedical Systems Lab of Prof. Simone Schürle (D-HEST). Figure suource and reference Schuerle, S., et al. "Synthetic and living micropropellers for convection-enhanced nanoparticle transport." Science advances 5.4 (2019): eaav4803.

Goal & Tasks

The end goal of the project is to design a device that sensitively detects the changing magnetization of exceedingly small quantities of iron oxide nanoparticles.

  • Literature study of relevant background context
  • PCB design of detection coils
  • Implementation of analog signal acquisition and signal processing
  • Sensitivity analysis with varying concentrations of magnetic material
  • Iterative improvement of device


Prerequisites

(not all need to be met by the single candidate)

  • Experience using the laboratory instrumentation - signal generators, oscilloscopes, DAQ cards, Matlab etc..
  • knowledge of microcontroller programming and PC programming (C/C++, preferably embedded C)
  • basic knowledge or interests on power converters, wireless communication, and circuit design at a components level (IC design is NOT involved)
  • Motivation to build and test a real system
  • PCB Desing or willing to learn it

Detailed Task Description A detailed task description will be worked out right before the project, taking the student's interests and capabilities into account.


Status: Available

  • Looking for Semester and Master Project Students
Supervisors: Michele Magno Michael Christiansen <michael.christiansen@hest.ethz.ch>


Character

10% Literature Study 20% Design 30% Implementation (including construction and testing in the lab) 40% Iteration in design and implementation

IIS Professor

Luca Benini

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Detailed Task Description

Goals

Practical Details

Results