Biosensor Simulation
Biosensor electronics and molecular assays have experienced a spectacular progress from research to point of care (POC) diagnosis thanks to breakthroughs in fundamental biology, including in genomics and immunology. POC assays, even using old transduction technologies with qualitative information (+/- PCR and antigen tests), or quantitative information only relative to the analyte concentration (q-PCR), have had a fast payback. New venues in personalised medicines are expected to have a significant impact on our health.
Moreover, proteins and even pieces of them (peptides) are important disease biomarkers and promising therapy targets with tremendous potential for precision medicine. Yet the implementation of novel therapies is facing challenges in terms of the variety of targets and subsequent specificity, sensitivity, throughput, and cost. ElectroMed is
building a sensing platform with in-situ peptide synthesis that could overcome these issues. We have based our proposal on reliable silicon technology using Field Effect Transistors, which can be integrated in a fully automated electrochemical system. However, given the combinatorial variety of peptides, it is necessary to guide the selection of sequences. We will use known protein targets and T cell epitopes to demonstrate that our platform is able to detect immune responses from B-cells and guide the selection and discovery of T cell epitopes. Ultimately, the final prototype will be able to assist the selection and priorisation of neo-antigens for cancer vaccines based on exome-sequencing and mutational analysis.
Related Publications
Rakshita Pritamsingh Dhar, "Optimization of the design of experimental (DoE) simulations of Ion-sensitive Field Effect Transistors", PhD thesis, University of Glasgow, (doi:http://theses.gla.ac.uk/id/eprint/83715), 2023.
N. Kumar, R.P.S. Dhar, C.P. García, V.P. Georgiev, " A novel computational framework for simulations of bio-field effect transistors", ECS Transactions, 111(1), pp. 249-260, (doi: 10.1149/11101.0249ecst), 2023.
R.P.S. Dhar, N. Kumar, C.P. García, V.P. Georgiev, "Novel Detection Methodology of Milk-Oligopeptides fingerprints using Ion-Sensitive BioFET", ChemRxiv. Cambridge: Cambridge Open Engage; 2022;This content is a preprint and has not been peer-reviewed.
R. P. Shukla, J. G. Bomer, D. Wijnperle, N. Kumar, V. P. Georgiev, A. C. Singh, S. Krishnamoorthy, C. P. García, S. Pud, W. Olthuis, "Planar Junctionless Field-Effect Transistor for Detecting Biomolecular Interactions", Sensors , 22, 5783, 2022.
R.P.S. Dhar, N. Kumar, C.P. García, V.P. Georgiev, "Assessing the effect of Scaling High-Aspect-Ratio ISFET with Physical Model Interface for Nano-Biosensing Application", Solid State Electronics, 195, 108374, 2022.
N. Kumar, R.P.S. Dhar, C.P. García, V.P. Georgiev, "Discovery of Amino Acid fingerprints transducing their amphoteric signatures by 2 field-effect transistors", ChemRxiv. Cambridge: Cambridge Open Engage; 2022; This content is a preprint and has not been peer-reviewed.
C. Medina-Bailon, N. Kumar,R.P.S. Dhar, I. Todorova, D. Lenoble, V.P. Georgiev, C.P. García, "Comprehensive Analytical Modelling of an Absolute pH Sensor", Sensors, 21, 5190, 2021.
R. P. S. Dhar, N. Kumar, C. Medina-Bailon, C. P. García and V. P. Georigiev, "TCAD Simulations of High-Aspect-Ratio Nano-biosensor for Label-Free Sensing Application," 2021 Joint International EUROSOI Workshop and International Conference on Ultimate Integration on Silicon (EuroSOI-ULIS), 2021, pp. 1-4, doi: 10.1109/EuroSOI-ULIS53016.2021.9560701.
