Detailed Information

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

Enhancement of the protein loading density by a pre-cleaning process of a gold substrate: Confocal laser scanning microscopic study

Authors
Park, TaehanChoo, JaebumLee, MoonkwonKim, Yang S.Lee, Eun KyuLee, Hae Seong
Issue Date
Sep-2004
Publisher
JAPAN SOC ANALYTICAL CHEMISTRY
Citation
ANALYTICAL SCIENCES, v.20, no.9, pp 1255 - 1258
Pages
4
Journal Title
ANALYTICAL SCIENCES
Volume
20
Number
9
Start Page
1255
End Page
1258
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47116
DOI
10.2116/analsci.20.1255
ISSN
0910-6340
1348-2246
Abstract
The immobilization of glucose oxidase (GOx), using self assembled monolayers (SAMs) on gold surfaces, was investigated by grazing angle FT-IR spectroscopy, surface plasmon resonance (SPR) spectroscopy, and atomic force microscopy (AFM) in conjunction with confocal laser scanning microscopy (CLSM). To find an optimum condition for the maximum GOx loading density on gold surfaces, different cleaning protocols were examined. The loading density of GOx on surfaces was investigated by AFM and CLSM. In particular, CLSM was more effective for identifying the GOx density than AFM, since its scanning speed is much faster and it covers a larger area. Based on CLSM images of the GOx immobilized on the surfaces, it was concluded that the pre-cleaning process of gold substrates using different solvents, such as acetone, ethanol and 2-propanol, is very important for enhancing the GOx loading density. This result enables us to investigate an effective fabrication process in fabricating biosensors.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Natural Sciences > Department of Chemistry > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Choo, Jaebum photo

Choo, Jaebum
자연과학대학 (화학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE