Detailed Information

Cited 5 time in webofscience Cited 6 time in scopus
Metadata Downloads

Nanosilver-embedded silicon nanowires as a SERS-active substrate for the ultrasensitive detection of monoamine neurotransmitters

Authors
Vo, Van-ThePhung, Viet-DucLee, Sang-Wha
Issue Date
Aug-2021
Publisher
ELSEVIER
Keywords
Dopamine; Nanosilver-embedded; Serotonin; SERS; Silicon nanowires
Citation
Surfaces and Interfaces, v.25
Journal Title
Surfaces and Interfaces
Volume
25
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81850
DOI
10.1016/j.surfin.2021.101181
ISSN
2468-0230
Abstract
The trace detection of neurotransmitters is very useful in the diagnosis of severe neuropsychiatric diseases such as Parkinson's, Schizophrenia, and Depression. Surface enhanced Raman scattering (SERS) is a prospective technique for the sensitive detection of analyte with molecular information. Herein, a porous silicon (pSi) template (so-called silicon nanowires) was prepared using a metal-assisted chemical etching process, and the pSi template was successfully embedded with plenty of nanosilvers. The nanosilver-embedded pSi (pSi@Ag) was employed as a SERS-active substrate to detect dopamine (DA) and serotonin (ST) neurotransmitters at ultralow concentrations. The optimized pSi@Ag substrate produced an excellent dynamic linear range over six orders of magnitude (from 10−6 to 10−12 M), as well as showing the picomolar detection limit of ~10−13 M. The substrate exhibited the comparable performance to the current state-of-the-art researches, probably because the SERS signals were generated from larger number of analyte molecules adsorbed on the internal silver nanostructures with porous layer. Furthermore, the pSi@Ag substrate distinguished the individual component in the mixture (DA and ST at 10−8 M) without any labelling, corroborating the reliable pSi@Ag substrate for the application to the actual biological fluid. © 2021
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > 화공생명공학과 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Lee, Sang Wha photo

Lee, Sang Wha
Engineering (화공생명배터리공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE