<p>This paper presents the development of a highly sensitive thin-film transistor (TFT) biosensor utilizing a composite of reduced graphene oxide (RGO) and zinc oxide (ZnO). Extensive characterization of the sensor included field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD), Raman spectroscopy, and UV–Vis spectroscopy have been carried out to analyze the morphology, crystallinity, thickness, and antibody binding density of the sensor surface. Electrical measurements demonstrated that the sensor exhibited high transconductance and sensitivity to PSA, achieving a detection limit as low as 0.1 femtomolar (fM). The sensor’s performance was further evaluated through reliability, specificity, dynamic response, and stability tests. Results highlight the RGO/ZnO TFT biosensor’s potential for highly sensitive, specific, and stable PSA detection, making it a promising candidate for clinical diagnostics and real-time biomarker monitoring.</p>

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Fabrication, characterization and numerical analysis of reliable and stable liquid-gated field effect transistor biosensor for prostate-specific antigen

  • Bhaswati Chakraborty,
  • Naren Das

摘要

This paper presents the development of a highly sensitive thin-film transistor (TFT) biosensor utilizing a composite of reduced graphene oxide (RGO) and zinc oxide (ZnO). Extensive characterization of the sensor included field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD), Raman spectroscopy, and UV–Vis spectroscopy have been carried out to analyze the morphology, crystallinity, thickness, and antibody binding density of the sensor surface. Electrical measurements demonstrated that the sensor exhibited high transconductance and sensitivity to PSA, achieving a detection limit as low as 0.1 femtomolar (fM). The sensor’s performance was further evaluated through reliability, specificity, dynamic response, and stability tests. Results highlight the RGO/ZnO TFT biosensor’s potential for highly sensitive, specific, and stable PSA detection, making it a promising candidate for clinical diagnostics and real-time biomarker monitoring.