Dielectric modulated triangular gate FinFET biosensor with analytical modeling and TCAD based performance evaluation

Alzheimer’s Disease (AD) is a leading neurological disorder and a major cause of dementia in older adults, with incidence rising in aging populations. Amyloid-β (Aβ) peptides and tau proteins are widely recognized as key biomarkers for early and accurate diagnosis. However, conventional diagnostic methods such as Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) are invasive, costly, and unsuitable for routine screening. Field-effect transistor (FET)-based biosensors are promising alternatives because of their high sensitivity, specificity, portability, and low cost. In this study, we propose a Triangular Gate Fin Field Effect Transistor (TG FinFET) designed as a Dielectric Modulated (DM) biosensor for AD biomarker detection. Biomolecule interaction at the gate interface alters the effective dielectric constant, leading to significant variations in electrical parameters such as surface potential, electric field, threshold voltage, drain current, and transconductance. Analytical modeling and simulations demonstrate that the TG FinFET exhibits superior sensitivity compared to conventional FET-based biosensors. These results highlight the potential of TG FinFETs as a scalable and CMOS-compatible platform for early Alzheimer’s diagnostics and point-of-care healthcare applications. The proposed TG FinFET biosensor exhibits a wide linear range of 10⁻⁶–10³ pg/mL with a low Limit of Detection (LOD) of 1 × 10⁻⁴ pg/mL for Alzheimer’s biomarker detection.

Authors

Institutions

Publication Details

Journal
Discover Materials
Published
2026-09-30
DOI
https://doi.org/10.1007/s43939-026-01000-y
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Dielectric modulated triangular gate FinFET biosensor with analytical modeling and TCAD based performance evaluation

N. B. Balamurugan, V. Karutharaja, M. Hemalatha, M. Suguna
Discover Materials
Advancements in Semiconductor Devices and Circuit Design
article

Dielectric modulated triangular gate FinFET biosensor with analytical modeling and TCAD based performance evaluation

N. B. Balamurugan, V. Karutharaja, M. Hemalatha, M. Suguna
article en

Abstract

Alzheimer’s Disease (AD) is a leading neurological disorder and a major cause of dementia in older adults, with incidence rising in aging populations. Amyloid-β (Aβ) peptides and tau proteins are widely recognized as key biomarkers for early and accurate diagnosis. However, conventional diagnostic methods such as Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) are invasive, costly, and unsuitable for routine screening. Field-effect transistor (FET)-based biosensors are promising alternatives because of their high sensitivity, specificity, portability, and low cost. In this study, we propose a Triangular Gate Fin Field Effect Transistor (TG FinFET) designed as a Dielectric Modulated (DM) biosensor for AD biomarker detection. Biomolecule interaction at the gate interface alters the effective dielectric constant, leading to significant variations in electrical parameters such as surface potential, electric field, threshold voltage, drain current, and transconductance. Analytical modeling and simulations demonstrate that the TG FinFET exhibits superior sensitivity compared to conventional FET-based biosensors. These results highlight the potential of TG FinFETs as a scalable and CMOS-compatible platform for early Alzheimer’s diagnostics and point-of-care healthcare applications. The proposed TG FinFET biosensor exhibits a wide linear range of 10⁻⁶–10³ pg/mL with a low Limit of Detection (LOD) of 1 × 10⁻⁴ pg/mL for Alzheimer’s biomarker detection.

Discover Materials
Madurai Medical College (IN), Thiagarajar College of Engineering (IN)
Good health and well-being
Openalex Percentile: Top 22%
Advancements in Semiconductor Devices and Circuit Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dielectric modulated triangular gate FinFET biosensor with analytical modeling and TCAD based performance evaluation — N. B. Balamurugan, V. Karutharaja, et al. · Discover Materials (2026) | TGRS Research Map | TGRS