Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A shape-code nanoplasmonic biosensor for multiplex detection of Alzheimer's disease biomarkers

Authors
Kim, HanbiLee, Jong UkSong, SojinKim, SoohyunSim, 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Chemical and Biological Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Sim, Sang Jun photo

Sim, Sang Jun
공과대학 (화공생명공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE