The University of Southampton
University of Southampton Institutional Repository

Scaleable micro-cavity bilayer lipid membrane array for parallel ion channel recording

Scaleable micro-cavity bilayer lipid membrane array for parallel ion channel recording
Scaleable micro-cavity bilayer lipid membrane array for parallel ion channel recording
A compact, scalable and high-throughput bilayer ion channel recording platform capable of simultaneous data acquisition from multiple bilayers is presented. Microfluidic chips house micro-cavities over which bilayers are made; each connected to a custom-made compact electronic readout circuit based on ASICs (Application-Specific Integrated Circuits). The micro-cavities are fabricated using a simple dry-film resist process on a glass wafer. Single 15 mm × 15 mm glass chips contain four separately addressable bilayers, each with integrated Ag/AgCl electrodes. The number of bilayers is scaled by increasing the number of ASICs and four-cavity chips. Each chip can be cleaned and re-used many times and the cavity-suspended lipid bilayers are stable for up to 10 days. System performance is demonstrated with simultaneous electrical recordings of the ion channels gramicidin A and alpha-hemolysin in multiple bilayers.
bilayer lipid membrane (BLM), ion channel, electrophysiology, parallel platform, micro-cavity, dry film resists
0925-4005
76-82
Saha, Shimul C.
e2c8a09a-21af-4a31-bd25-26945094e03a
Thei, Federico
c5014b97-007e-482d-87ad-1d43162ac2eb
de Planque, Maurits R.R.
a1d33d13-f516-44fb-8d2c-c51d18bc21ba
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174
Saha, Shimul C.
e2c8a09a-21af-4a31-bd25-26945094e03a
Thei, Federico
c5014b97-007e-482d-87ad-1d43162ac2eb
de Planque, Maurits R.R.
a1d33d13-f516-44fb-8d2c-c51d18bc21ba
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174

Saha, Shimul C., Thei, Federico, de Planque, Maurits R.R. and Morgan, Hywel (2014) Scaleable micro-cavity bilayer lipid membrane array for parallel ion channel recording. Sensors and Actuators B: Chemical, 199, 76-82. (doi:10.1016/j.snb.2014.03.111).

Record type: Article

Abstract

A compact, scalable and high-throughput bilayer ion channel recording platform capable of simultaneous data acquisition from multiple bilayers is presented. Microfluidic chips house micro-cavities over which bilayers are made; each connected to a custom-made compact electronic readout circuit based on ASICs (Application-Specific Integrated Circuits). The micro-cavities are fabricated using a simple dry-film resist process on a glass wafer. Single 15 mm × 15 mm glass chips contain four separately addressable bilayers, each with integrated Ag/AgCl electrodes. The number of bilayers is scaled by increasing the number of ASICs and four-cavity chips. Each chip can be cleaned and re-used many times and the cavity-suspended lipid bilayers are stable for up to 10 days. System performance is demonstrated with simultaneous electrical recordings of the ion channels gramicidin A and alpha-hemolysin in multiple bilayers.

Text
Saha_SensorsActuatorsB_2014.pdf - Version of Record
Download (1MB)

More information

e-pub ahead of print date: 8 April 2014
Published date: August 2014
Keywords: bilayer lipid membrane (BLM), ion channel, electrophysiology, parallel platform, micro-cavity, dry film resists
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 363681
URI: https://eprints.soton.ac.uk/id/eprint/363681
ISSN: 0925-4005
PURE UUID: 37074aff-998e-465d-9107-1e1bfb67cd08
ORCID for Maurits R.R. de Planque: ORCID iD orcid.org/0000-0002-8787-0513
ORCID for Hywel Morgan: ORCID iD orcid.org/0000-0003-4850-5676

Catalogue record

Date deposited: 30 Mar 2014 11:02
Last modified: 10 Sep 2019 00:45

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×