Biosensor system-on-a-chip including CMOS-based signal processing circuits and 64 carbon nanotube-based sensors for the detection of a neurotransmitter

We developed a carbon nanotube (CNT)-based biosensor system-on-a-chip (SoC) for the detection of a neurotransmitter. Here, 64 CNT-based sensors were integrated with silicon-based signal processing circuits in a single chip, which was made possible by combining several technological breakthroughs suc...

Full description

Saved in:
Bibliographic Details
Published in:Lab on a chip 2010-01, Vol.10 (7), p.894-898
Main Authors: Lee, Byung Yang, Seo, Sung Min, Lee, Dong Joon, Lee, Minbaek, Lee, Joohyung, Cheon, Jun-Ho, Cho, Eunju, Lee, Hyunjoong, Chung, In-Young, Park, Young June, Kim, Suhwan, Hong, Seunghun
Format: Article
Language:English
Subjects:
Biosensing Techniques - instrumentation
Biosensing Techniques - methods
Nanotubes, Carbon
Neurotransmitter Agents - analysis
Neurotransmitter Agents - chemistry
Signal Processing, Computer-Assisted - instrumentation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We developed a carbon nanotube (CNT)-based biosensor system-on-a-chip (SoC) for the detection of a neurotransmitter. Here, 64 CNT-based sensors were integrated with silicon-based signal processing circuits in a single chip, which was made possible by combining several technological breakthroughs such as efficient signal processing, uniform CNT networks, and biocompatible functionalization of CNT-based sensors. The chip was utilized to detect glutamate, a neurotransmitter, where ammonia, a byproduct of the enzymatic reaction of glutamate and glutamate oxidase on CNT-based sensors, modulated the conductance signals to the CNT-based sensors. This is a major technological advancement in the integration of CNT-based sensors with microelectronics, and this chip can be readily integrated with larger scale lab-on-a-chip (LoC) systems for various applications such as LoC systems for neural networks.
ISSN:1473-0197
1473-0189
DOI:10.1039/b916975j