Functionalized GaN Based Transistors For Biosensing

Pearton, S. J.; Ren, F.; Chu, Byung Hwan

doi:10.5772/50351

Cited by 7 publications

References 38 publications

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Device optimization and sensitivity analysis of a double-cavity graded MgZnO/ZnO MOSHEMT for biomolecule detection

Pandey,

Dwivedi

et al. 2024

Phys. Scr.

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The detailed analytical model of biosensing parameters are proposed for a double-cavity graded MgZnO/ZnO metal oxide semiconductor high electron mobility transistor (MOSHEMT) with cap layer-based biosensor including transfer characteristic, output characteristic, change in cut-off voltage (ΔVoff), transconductance (gm), sensitivity, and selectivity. A thorough investigation of dielectric modulation in a double nanogap cavity under the gate was conducted with a focus on improving the sensing characteristics of a MOSHEMT to indicate the presence of biomolecules like Uricase, Streptavidin, Protein, and ChOx. The dielectric modulation and the Poisson equation were used to determine the effective capacitance and cut-off voltage in the cavity region. Consequently, the changes in the cut-off voltage and the drain current of the device were used as the sensing metrics for the detection of biomolecules in the cavity regions. It was found that the proposed graded MgZnO/ZnO MOSHEMT-based biosensor demonstrates a higher change in cut-off voltage and drain current in comparison to the previous works, suggesting higher sensitivity for biomolecules.

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Device optimization and sensitivity analysis of a double-cavity graded MgZnO/ZnO MOSHEMT for biomolecule detection

Pandey,

Dwivedi

et al. 2024

Phys. Scr.

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A Review on Functionalized Biosensors and its Mechanism Behind the Clinical Diagnosis of Dopamine

Nagarajan

Panchatcharam

2023

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)

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First Demonstration of GaN HEMT-Based Handheld System for Noninvasive Detection of Traumatic Brain Injury Using Saliva

Thakur,

Saini,

Taliyan

et al. 2024

IEEE Sensors J.

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Traumatic brain injury (TBI) is an insult to the brain caused by an external mechanical force that is neither congenital nor degenerative leading to morbidity and mortality among people of various age groups globally. The work reports design, development, and validation of novel GaN HEMT on Si-based handheld system for noninvasive detection of food and drug administration (FDA)-approved TBI biomarkers UCH-L1 and GFAP in clinically relevant concentration ranges. The developed system can detect and differentiate TBI biomarkers in saliva in almost imperceptible amount of pg/mL using specific conjugation of TBI antibody and target analyte over biofunctionalized chips. The platform offers a peak sensitivity of 17.42 µA/pg/mL with high resolution and a pre-eminent selectivity toward target TBI biomarkers. The system is portable, easy to handle, ultrasensitive with volant response time of less than 5 s, and compact with a potential for point-of-care applications. It can be utilized for clinical analysis and on-field application areas for TBI diagnosis and prognosis. The system can be imperative in early medical diagnosis, patient management, and decision-making for computed tomography (CT) or magnetic resonance imaging (MRI). To the best of our knowledge, this is the first-time reporting of a label-free noninvasive TBI

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Functionalized GaN Based Transistors For Biosensing

Cited by 7 publications

References 38 publications

Device optimization and sensitivity analysis of a double-cavity graded MgZnO/ZnO MOSHEMT for biomolecule detection

Device optimization and sensitivity analysis of a double-cavity graded MgZnO/ZnO MOSHEMT for biomolecule detection

A Review on Functionalized Biosensors and its Mechanism Behind the Clinical Diagnosis of Dopamine

First Demonstration of GaN HEMT-Based Handheld System for Noninvasive Detection of Traumatic Brain Injury Using Saliva

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