NDLI: A micro amperometric immunosensor for detection of human immunoglobulin

Content Provider	Springer Nature Link
Author	Xu, Yuanyuan Xia, Shanhong Bian, Chao Chen, Shaofeng
Copyright Year	2006
Abstract	A novel amperometric immunosensor based on the micro electromechanical systems (MEMS) technology, using protein A and self-assembled monolayers (SAMs) for the orientation-controlled immobilization of antibodies, has been developed. Using MEMS technology, an “Au, Pt, Pt” three-microelectrode system enclosed in a SU-8 micro pool was fabricated. Employing SAMs, a monolayer of protein A was immobilized on the cysteamine modified Au electrode to achieve the orientation-controlled immobilization of the human immunoglobulin (HIgG) antibody. The immunosensor aimed at low unit cost, small dimension, high level of integration and the prospect of a biosensor system-on-a-chip. Cyclic voltammetry and chronoamperometry were conducted to characterize the immunosensor. Compared with the traditional immunosensor using bulky gold electrode or screen-printed electrode and the procedure directly binding protein A to electrode for immobilization of antibodies, it had attractive advantages, such as miniaturization, compatibility with CMOS technology, fast response (30 s), broad linear range (50–400 µg/L) and low detection limit (10 μg/L) for HIgG. In addition, this immunosensor was easy to be designed into micro array and to realize the simultaneously multi-parameter detection.
Starting Page	397
Ending Page	408
Page Count	12
File Format	PDF
ISSN	10092757
Journal	Science in China Series : Information Sciences
Volume Number	49
Issue Number	3
e-ISSN	18622836
Language	English
Publisher	Science in China Press
Publisher Date	2006-01-01
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	amperometric immunosensor micro electromechanical systems (MEMS) self-assembled monolayers (SAMs) protein A orientation-controlled immobilization biosensor system-on-a-chip Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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