A shape-code nanoplasmonic biosensor for multiplex detection of Alzheimer's disease biomarkers
- Authors
- Kim, Hanbi; Lee, Jong Uk; Song, Sojin; Kim, Soohyun; Sim, Sang Jun
- Issue Date
- 15-3월-2018
- Publisher
- ELSEVIER ADVANCED TECHNOLOGY
- Keywords
- Shape-code; Multiplex detection; Alzheimer' s disease (AD); Gold nanoparticles (AuNPs); Plasmonic biosensors; Localized surface plasmon resonance (LSPR)
- Citation
- BIOSENSORS & BIOELECTRONICS, v.101, pp.96 - 102
- Indexed
- SCIE
SCOPUS
- Journal Title
- BIOSENSORS & BIOELECTRONICS
- Volume
- 101
- Start Page
- 96
- End Page
- 102
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/76719
- DOI
- 10.1016/j.bios.2017.10.018
- ISSN
- 0956-5663
- Abstract
- Alzheimer's disease (AD) is a neurodegenerative disease associated with the loss of nerve cells in the brain. The disease is affected by multifactorial pathways and leads to changes in related biomolecular levels as AD progresses. Therefore, AD should be diagnosed with combined detection of several lesions to improve accuracy. Amyloid beta 1-40, 1-42 and tau (tau) protein are milestones in AD pathology and can be used as main screening and diagnostic target markers. Here, we suggest a highly selective biosensor for detection of AD core biomarkers on one platform through distinct localized surface plasmon resonance (LSPR) depending on gold nanoparticles shapes, called a shape-code biosensor. This plasmonic sensor consists of only gold nanoparticles and antibody, but does not need additory methods for precise separation from multifarious samples and identification of markers. Under physiological condition, we determined a detection limit of 34.9 fM for amyloid beta (A beta) 1-40, 26 fM for A beta 1-42 and 23.6 fM for tau protein corresponding to the similar to 1, similar to 2.23 and similar to 3.12 nm of Rayleigh scattering peak shift on shape-code plasmon system for each biomarker in mimicked blood. This is the first highly sensitive shape-code biosensor to, detect AD biomarkers which can be used to diagnose AD easily in the future.
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Collections - College of Engineering > Department of Chemical and Biological Engineering > 1. Journal Articles
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