MATLAB-based Performance Assessment of a GNRFET-based Ion Sensitive Field Effect Transistor for Point-of-Care Diagnosis and Precision Medicine
https://doi.org/10.46610/IJIPSS.2026.v02i01.003
DOI:
https://doi.org/10.46610/IJIPSS.2026.v02i01.003Keywords:
Current sensitivity, GNRFET, ISFET, MATLAB, Power dissipation, SiO₂, Voltage sensitivityAbstract
In this work, an ion-sensitive field-effect transistor (ISFET) based on graphene nanoribbon (GNR) channel FET (GNRFET) geometry has been explored as an aggressively-scaled architecture for pH-based wearable sweat sensors and precision medicine with improved performance metrics. The proposed sensor has been implemented in a MATLAB simulation framework interlinking the SPICE models published in the literature for the GNRFET and the electrochemical stages required to build the ISFET structure. The ISFET is biased in the weak inversion regime through a transconductance amplifier configuration to ensure minimum power consumption and higher current sensitivity. The proposed ISFET-based pH sensor exhibits a moderate voltage sensitivity of 48.3 mV/pH, a current sensitivity of 0.45 dec/pH and an ultra-low power consumption of only 6 pW using an extremely scaled device active area of only 15 nm × 0.46 nm. Therefore, the proposed ISFET device has excellent promise in the realization of ultra-scaled pH-based wearable sweat sensors and DNA-sensors with higher sensitivity, and lower power consumption as demanded by the point-of-care (POC) diagnosis, and required by the DNA sequencing in the precision medicine, both for modern health care.
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