Scalable Functionalization of Polyaniline-Grafted rGO Field-Effect Transistors for a Highly Sensitive Enzymatic Acetylcholine Biosensoropen access
- Authors
- Park, Dongsung; Lee, Dongtak; Kim, Hye Jin; Yoon, Dae Sung; Hwang, Kyo Seon
- Issue Date
- 5월-2022
- Publisher
- MDPI
- Keywords
- reduced graphene oxide; field-effect transistor (FET); polyaniline; pH-sensing; acetylcholine; acetylcholinesterase; drug screening
- Citation
- BIOSENSORS-BASEL, v.12, no.5
- Indexed
- SCIE
SCOPUS
- Journal Title
- BIOSENSORS-BASEL
- Volume
- 12
- Number
- 5
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/142277
- DOI
- 10.3390/bios12050279
- ISSN
- 2079-6374
- Abstract
- For decades, acetylcholine (Ach) has been considered a critical biomarker for several degenerative brain diseases, including Alzheimer's, Parkinson's disease, Huntington's disease, and schizophrenia. Here, we propose a wafer-scale fabrication of polyaniline (PAni)-grafted graphene-based field-effect transistors (PGFET) and their biosensing applications for highly sensitive and reliable real-time monitoring of Ach in flow configuration. The grafted PAni provides suitable electrostatic binding sites for enzyme immobilization and enhances the pH sensitivity (2.68%/pH), compared to that of bare graphene-FET (1.81%/pH) for a pH range of 3-9 without any pH-hysteresis. We further evaluated the PGFET's sensing performance for Ach detection with a limit of detection at the nanomolar level and significantly improved sensitivity (similar to 103%) in the concentration range of 108 nM to 2 mM. Moreover, the PGFET exhibits excellent selectivity against various interferences, including glucose, ascorbic acid, and neurotransmitters dopamine and serotonin. Finally, we investigated the effects of an inhibitor (rivastigmine) on the AchE activity of the PGFET. From the results, we demonstrated that the PGFET has great potential as a real-time drug-screening platform by monitoring the inhibitory effects on enzymatic activity.
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Collections - Graduate School > Department of Bioengineering > 1. Journal Articles
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