Novel Detection Methodology of Milk-Oligopeptides Fingerprints using Ion-Sensitive BioFET

Kumar, N. , García, C. P., Dixit, A., Rezaei, A. and Georgiev, V. (2023) Novel Detection Methodology of Milk-Oligopeptides Fingerprints using Ion-Sensitive BioFET. In: 2023 IEEE BioSensors Conference (BioSensors), London, UK, 30 July - 1 August 2023, ISBN 9798350346046 (doi: 10.1109/BioSensors58001.2023.10281172)

Abstract

Protein sequencing is an important key to personalized medicines, but the process is complex enough to halt the ongoing progress in proteomics. In this paper, we have proposed a novel simulation methodology for the detection of oligopeptide fingerprints using a Field-Effect-Transistor. In our approach, the Gouy-Chapman-Stern and Site-Binding models are solved self-consistently to capture the response of immobilized peptides in the presence of an electrolyte. Our results show the unique signatures of two anti-hypertensive tripeptides in terms of variation in surface potential, inflection points and point-of-zero-charge in 2 nd order differentiation of surface potential and total surface capacitance. We have shown that the presence of silanol sites, in the presence of single or multiple oligopeptides, is responsible for reduced sensor’s sensitivity. We have proposed a novel noise-reduction technique to eliminate the noise present in the experimental data.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Dixit, Mr Ankit and Rezaei, Dr Ali and Kumar, Dr Naveen and Georgiev, Professor Vihar
• Authors: Kumar, N., García, C. P., Dixit, A., Rezaei, A., and Georgiev, V.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9798350346046
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in 2023 IEEE BioSensors Conference (BioSensors)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy