Cheng, Y., Zuo, S., Ranford-Cartwright, L. , Mirzai, N. and Heidari, H. (2023) Portable Diagnostic Platform for Rapid Detection of 2μL Paramagnetic Particles in 5s. In: 21st IEEE Interregional NEWCAS Conference (IEEE NEWCAS 2023), Edinburgh, UK, 26-28 June 2023, ISBN 9798350300246 (doi: 10.1109/NEWCAS57931.2023.10198080)
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Abstract
With the fast development of Tunneling magnetoresistance (TMR) biosensors, this paper reports a low noise, rapid, lab-on-chip system based on TMR sensors for malaria pigment (hemozoin) detection. A semiconductor circuit is designed to amplify the negligible (approximately 5mV) signal from the TMR sensor and to reduce the high frequency noise from the electronics. The semiconductor circuit is comprised of several Low drop-out (LDO) regulators, an instrumentation amplifier and an 8-order Butterworth ladder lowpass filter. In detail, this instrumentation amplifier reaches 90dB dc gain with 1 nV/√Hz low input noise at double ± 5V voltage supply. The cut-off frequency of the lowpass filter is adjustable 0.1Hz to 50kHz, which can obviously reduce the noise from the environment and the electronics. COMSOL Multiphysics® is applied to simulate the infected red blood cell (RBC) as well as the external magnetic field. The simulation results certify the feasibility of the system, which provides a fast response to the hemozoin samples. The designed system can detect the liquid paramagnetic samples in real time.
Item Type: | Conference Proceedings |
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Additional Information: | This work was partially supported by EPSRC projects EP/X525716/1, EP/X024989/1, EP/X034690/1, and EP/R004242/2 and Wellcome Trust iTPA Early Concept Development (ECD) 219390/Z/19/Z. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Mirzai, Mr Nosrat and Zuo, Dr Siming and Ranford-Cartwright, Dr Lisa and Cheng, Yuanxi and Heidari, Professor Hadi |
Authors: | Cheng, Y., Zuo, S., Ranford-Cartwright, L., Mirzai, N., and Heidari, H. |
College/School: | College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing College of Science and Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
ISSN: | 2474-9672 |
ISBN: | 9798350300246 |
Copyright Holders: | Copyright © 2023 IEEE |
First Published: | First published in 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS) |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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