TY - GEN
T1 - Novel Detection Methodology of Milk-Oligopeptides Fingerprints using Ion-Sensitive BioFET
AU - Kumar, Naveen
AU - Garcia, Cesar Pascual
AU - Dixit, Ankit
AU - Rezaei, Ali
AU - Georgiev, Vihar
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/10/17
Y1 - 2023/10/17
N2 - 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 2nd 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.
AB - 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 2nd 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.
UR - http://www.scopus.com/inward/record.url?scp=85176012348&partnerID=8YFLogxK
U2 - 10.1109/BioSensors58001.2023.10281172
DO - 10.1109/BioSensors58001.2023.10281172
M3 - Conference contribution
AN - SCOPUS:85176012348
T3 - 2023 IEEE BioSensors Conference, BioSensors 2023 - Proceedings
SP - 1
EP - 4
BT - 2023 IEEE BioSensors Conference, BioSensors 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers
T2 - 1st Annual IEEE BioSensors Conference, BioSensors 2023
Y2 - 30 July 2023 through 1 August 2023
ER -