Multiplexed femtomolar detection of Alzheimer's disease biomarkers in biofluids using a reduced graphene oxide field-effect transistor
- Authors
- Park, Dongsung; Kim, Jae Hyun; Kim, Hye Jin; Lee, Dongtak; Lee, David S.; Yoon, Dae Sung; Hwang, Kyo Seon
- Issue Date
- 1-11월-2020
- Publisher
- ELSEVIER ADVANCED TECHNOLOGY
- Keywords
- Reduced graphene oxide field-effect transistor; Multiplexed detection; Alzheimer' s disease; Amyloid-beta; Tau protein
- Citation
- BIOSENSORS & BIOELECTRONICS, v.167
- Indexed
- SCIE
SCOPUS
- Journal Title
- BIOSENSORS & BIOELECTRONICS
- Volume
- 167
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/51855
- DOI
- 10.1016/j.bios.2020.112505
- ISSN
- 0956-5663
- Abstract
- Alzheimer's disease (AD) is a neurodegenerative disease that accounts for 70% of all dementia. Early stage diagnosis of AD is essential as there is no certain treatment after the lesion has progressed in the late stage. Nevertheless, there are still limitations of early diagnosis of AD using neuroimaging and psychological memory assessments. Here, we demonstrate ultrasensitive and multiplexed detection of pivotal AD biomarkers (A beta(1-42) and t-Tau) in biofluids using a reduced graphene oxide field-effect transistor (gFET). The proposed approach provides a wide logarithmically linear range of detection from 10(-1)-10(5) pg mL(-1) and a femtomolar-level limit of detection in biofluids (human plasma and artificial cerebrospinal fluid) as well as phosphate-buffered saline (PBS). Furthermore, as these core biomarkers have different surface charges in physiological conditions based on the isoelectric point (pI), we achieved a distinctive output signal for each biomarker. The gFET biosensor platform presented in this paper has great potential and can be used for early diagnosis of AD in clinical practice as well as accurate analysis based on the surface charge of the analytes.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School > Department of Bioengineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.