Magnetoresistance Sensor with Analog Frontend for Lab-on-Chip Malaria Parasites Detection

Li, Y., Zuo, S., Ranford-Cartwright, L. , Mirzai, N. and Heidari, H. (2021) Magnetoresistance Sensor with Analog Frontend for Lab-on-Chip Malaria Parasites Detection. In: IEEE International Symposium on Circuits and Systems (ISCAS 2021), Daegu, Korea, 22-28 May 2021, ISBN 9781728192017 (doi: 10.1109/ISCAS51556.2021.9401067)

Abstract

This paper presents proof-of-principle of a miniatured low noise, low power, and high-sensitive malaria detection method based on the magnetoresistance (MR) sensor with a CMOS analog front-end (AFE) readout circuit for the detection of paramagnetic hemozoin particles. COMSOL Multiphysics® is employed for the finite-element (FEM) simulation of hemozoin particles to prove that the magnetic field generated from a multi-hemozoin particles system is within the sensing range of MR sensors. A CMOS AFE circuit is designed to convert the tiny current (approximately 60 µA) from MR sensors into a strong voltage signal able to be sampled and suppress high frequency and large amplitude noises stemming from the shift of the resultant magnetic field during the malaria diagnostic process. This CMOS AFE circuit is composed of a transimpedance amplifier (TIA) and a pair of Butterworth filters. This TIA can achieve a 98.5 dB dc gain and a 2.823 MHz bandwidth with low power consumption (375.65 µW) at a 3.3 V voltage supply and low input-referred noise (21.3857 nA/√Hz at 100 Hz). Butterworth filters can significantly reduce the high frequency and large amplitude noises caused by the unexpected shift of the magnetic field. The experimental results prove that the system provides an immediate response to samples with hemozoin particles and has the potential to achieve malaria parasite detection.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Heidari, Professor Hadi and Zuo, Dr Siming and Ranford-Cartwright, Dr Lisa and Mirzai, Mr Nosrat and Li, Yuchen
• Authors: Li, Y., Zuo, S., Ranford-Cartwright, L., Mirzai, N., and Heidari, H.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering; College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
• ISSN: 2158-1525
• ISBN: 9781728192017
• Copyright Holders: Copyright © 2021 IEEE
• First Published: First published in 2021 IEEE International Symposium on Circuits and Systems (ISCAS)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

Related URLs

• Organisation