An Enhanced Platform to Analyse Low-Affinity Amyloid beta Protein byIntegration of Electrical Detection and Preconcentrator

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/474577.do
DOI
10.1038/s41598-017-14338-4
Title
An Enhanced Platform to Analyse Low-Affinity Amyloid beta Protein byIntegration of Electrical Detection and Preconcentrator
Description
Y. K. Yoo and Prof. D.S. Yoon contributed equally to this work. Theauthors are grateful for financial support from the Korea HealthIndustry Development Institute (KHIDI, grant no. HI14C3319) and NationalResearch Foundation of Korea (NRF, grant no. NRF-2017M3A9E2058046) andthe Korean Government (MEST) (NRF-2015R1D1A1A01059806). We are gratefulto Jongyoon Han at MIT, USA for helpful discussion.
abstract
Sensitivity and limit of detection (LOD) enhancement are essential criteria for the development of ultrasensitive molecular sensors. Although various sensor types have been investigated to enhance sensitivity and LOD, analyte detection and its quantification are still challenging, particularly for protein-protein interactions with low association constants. To solve this problem, here, we used ion concentration polarization (ICP)-based preconcentration to increase the local concentration of analytes in a microfluidic platform for LOD improvement. This was the first demonstration of a microfluidic device with an integrated ICP preconcentrator and interdigitated microelectrode (IME) sensor to detect small changes in surface binding between antigens and antibodies. We detected the amyloid beta (A beta) protein, an Alzheimer's disease marker, with low binding affinity to its antibodies by adopting ICP preconcentration phenomena. We demonstrated that a combination of ICP preconcentrator and IME sensor increased the LOD by 13.8-fold to femtomolar level (8.15 fM), which corresponds to a significant advance for clinical applications.
provenance
Made available in Cube on 2018-09-28T10:49:42Z (GMT). No. of bitstreams: 0
language
English
author
Yoo, Yong Kyoung
Yoon, Dae Sung
Kim, Gangeun
Kim, Jinsik
Han, Sung Il
Lee, Junwoo
Chae, Myung-Sic
Lee, Sang-Myung
Lee, Kyu Hyoung
Hwang, Kyo Seon
Lee, Jeong Hoon
orcid
Lee, Jeong hoon/0000-0001-7344-6060
accessioned
2018-09-28T10:49:42Z
available
2018-09-28T10:49:42Z
issued
2017
citation
SCIENTIFIC REPORTS(7)
issn
2045-2322
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/474577.do
Funder
교육부
Funding Program
BK21플러스사업(0.5)
Project ID
1345274441
Jurisdiction
Rep.of Korea
Project Name
Division of Human Resources Education on Nano Convergence Materials for Biomedical Application
rights
openAccess
type
article


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