Ultrasensitive graphene field-effect transistor biosensor for rapidly detecting miRNA-208a

MicroRNA-208a (miR208a) is a cardiac-specific miRNA and can provide an earlier prediction for AMI onset than currently used cardiac biomarkers. Graphene field-effect transistor (GFET) biosensor, as the promising candidate for next-generation biosensor, has been demonstrated for real-time detection o...

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Veröffentlicht in:Sensors and actuators. B, Chemical Chemical, 2024-11, Vol.418, p.136262, Article 136262
Hauptverfasser: Hu, Jiahao, Liu, Xin, Li, Fengheng, Qiu, Yong, Hu, Yanjie, Zhou, Yong, Wang, Ping, Wan, Hao
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Sprache:eng
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Zusammenfassung:MicroRNA-208a (miR208a) is a cardiac-specific miRNA and can provide an earlier prediction for AMI onset than currently used cardiac biomarkers. Graphene field-effect transistor (GFET) biosensor, as the promising candidate for next-generation biosensor, has been demonstrated for real-time detection of a variety of bioactive molecules with ultrasensitivity from nM to fM level. Currently, research on GFET sensors mostly focuses on the properties of the devices themselves, rather than aiming for ultra-sensitive detection based on biochemical substances. In this study, we developed a liquid-gated graphene field-effect transistor-based biosensor for detection of miR208a and designed a portable device to adapt with it for a fast readout of the electronic response, achieving a detection range of 0.01–1 pM, detection limit of 5.3 fM and detection time of 40 minutes. Our work provides a reliable strategy to rapidly and ultrasensitively quantifying miRNA-208a, which also holds great potential to be extended in a wide range of applications of other disease markers and lead to powerful tools for healthcare. •A new design of multi-microarray graphene field effect transistor sensor..•GFET biosensor detection parameter optimization.•Specific detection of early myocardial infarction marker miRNA-208a.•Ultrasensitive detection with a range of 0.01–1 pM and a LOD of 5.3 fM.•Design of a portable GFET detection system.
ISSN:0925-4005
1873-3077
DOI:10.1016/j.snb.2024.136262