Highly Sensitive Biosensor for Neuron-Specific Enolase Detection With Bovine-Serum-Albumin Doped Graphene Field-Effect Transistor

Wang, Xiaohua; Zhang, Jiajia; Qin, Deyang; Cao, Fuyi; Wang, Rui; Weng, Guoen; Hu, Xiaobo; Du, Weijie; Chen, Shaoqiang

doi:10.1109/jsen.2023.3265069

IEEE Sensors J.

2023

DOI: 10.1109/jsen.2023.3265069

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Highly Sensitive Biosensor for Neuron-Specific Enolase Detection With Bovine-Serum-Albumin Doped Graphene Field-Effect Transistor

Xiaohua Wang

Jiajia Zhang

Deyang Qin

et al.

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2024

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Cited by 2 publications

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Ultra-sensitive nitrate-ion detection via transconductance-enhanced graphene ion-sensitive field-effect transistors

Xu,

Zhou,

Simon

et al. 2024

Microsyst Nanoeng

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Current potentiometric sensing methods are limited to detecting nitrate at parts-per-billion (sub-micromolar) concentrations, and there are no existing potentiometric chemical sensors with ultralow detection limits below the parts-per-trillion (picomolar) level. To address these challenges, we integrate interdigital graphene ion-sensitive field-effect transistors (ISFETs) with a nitrate ion-sensitive membrane (ISM). The work aims to maximize nitrate ion transport through the nitrate ISM, while achieving high device transconductance by evaluating graphene layer thickness, optimizing channel width-to-length ratio (RWL), and enlarging total sensing area. The captured nitrate ions by the nitrate ISM induce surface potential changes that are transduced into electrical signals by graphene, manifested as the Dirac point shifts. The device exhibits Nernst response behavior under ultralow concentrations, achieving a sensitivity of 28 mV/decade and establishing a record low limit of detection of 0.041 ppt (4.8 × 10−13 M). Additionally, the sensor showed a wide linear detection range from 0.1 ppt (1.2 × 10−12 M) to 100 ppm (1.2 × 10−3 M). Furthermore, successful detection of nitrate in tap and snow water was demonstrated with high accuracy, indicating promising applications to drinking water safety and environmental water quality control.

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Ultra-sensitive nitrate-ion detection via transconductance-enhanced graphene ion-sensitive field-effect transistors

Xu,

Zhou,

Simon

et al. 2024

Microsyst Nanoeng

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show abstract

A Taylor Series Approximation Model for Characterizing the Output Resistance of a GFET

Ribero-Figueroa,

Pacheco-Sanchez,

Huang

et al. 2024

IEEE Trans. Electron Devices

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Highly Sensitive Biosensor for Neuron-Specific Enolase Detection With Bovine-Serum-Albumin Doped Graphene Field-Effect Transistor

Cited by 2 publications

References 35 publications

Ultra-sensitive nitrate-ion detection via transconductance-enhanced graphene ion-sensitive field-effect transistors

Ultra-sensitive nitrate-ion detection via transconductance-enhanced graphene ion-sensitive field-effect transistors

A Taylor Series Approximation Model for Characterizing the Output Resistance of a GFET

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