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  4. A Simple and Reliable PDMS and SU-8 Irreversible Bonding Method and Its Application on a Microfluidic-MEA Device for Neuroscience Research
 
research article

A Simple and Reliable PDMS and SU-8 Irreversible Bonding Method and Its Application on a Microfluidic-MEA Device for Neuroscience Research

Ren, Yufei  
•
Huang, Shun-Ho
•
Mosser, Sébastien  
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2015
Micromachines

Polydimethylsiloxane (PDMS) and SU-8 are currently two very commonly used polymeric materials in the microfluidics field for biological applications. However; there is a pressing need to find a simple, reliable, irreversible bonding method between these two materials for their combined use in innovative integrated microsystems. In this paper; we attempt to investigate the aminosilane-mediated irreversible bonding method for PDMS and SU-8 with X-Ray Photoelectron Spectroscopy (XPS) surface analysis and bonding strength tests. Additionally; the selected bonding method was applied in fabricating a microelectrode array (MEA) device, including microfluidic features, which allows electrophysiological observations on compartmentalized neuronal cultures. As there is a growing trend towards microfluidic devices for neuroscience research, this type of integrated microdevice, which can observe functional alterations on compartmentalized neuronal culture, can potentially be used for neurodegenerative disease research and pharmaceutical development.

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Type
research article
DOI
10.3390/mi6121465
Web of Science ID

WOS:000367532600008

Author(s)
Ren, Yufei  
Huang, Shun-Ho
Mosser, Sébastien  
Heuschkel, Marc
Bertsch, Arnaud  
Fraering, Patrick  
Chen, Jia-Jin
Renaud, Philippe  
Date Issued

2015

Publisher

MDPI

Published in
Micromachines
Volume

6

Issue

12

Start page

1923

End page

1934

Subjects

PDMS

•

SU-8

•

bonding technology

•

surface silanization

•

XPS analysis

•

tensile strength test

•

integrated microfluidic-MEA device

•

compartmentalised neural cell culture

•

neural activity recording

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMIS4  
CMSN  
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/121576
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