The University of Southampton
University of Southampton Institutional Repository

Determination of single-cell oxygen consumption with impedance feedback for control of sample-probe separation

Determination of single-cell oxygen consumption with impedance feedback for control of sample-probe separation
Determination of single-cell oxygen consumption with impedance feedback for control of sample-probe separation
The ability to measure chemical gradients surrounding single cells provides novel insights into several areas of cell dynamics—particularly metabolism. Detection of metabolic oxygen consumption can be achieved from a single mammalian cell using a modulated amperometric sensor in a self-referencing mode. To date, however, apart from visual cues, we do not have a reliable and cell-compatible method for determining and stabilizing the position of such probes. In this paper, we report on having successfully measured the increase in the uncompensated resistance of an electrochemical cell upon approach to single, living, biological cells, while simultaneously measuring the metabolic oxygen consumption. This was accomplished by applying an ac and a dc excitation signal to the electrode. The applied ac waveform was a 100-kHz sine wave with an amplitude of 10 mV rms, while the dc voltage applied was -600 mV. The two signals were shown not to interfere with one another. Furthermore, it is shown that the sample-probe distance can be measured for approach to single cells on the order of 10-15-microm diameter and 5-microm height, with 100-nm resolution
0003-2700
6999-7004
Osbourn, Damon M.
81f20c5e-35f8-45d8-bf17-46a645a636fb
Sanger, Richard H.
eb4dde62-3c95-4a17-ac97-aba2a2ae5baf
Smith, Peter J. S.
003de469-9420-4f12-8f0e-8e8d76d28d6c
Osbourn, Damon M.
81f20c5e-35f8-45d8-bf17-46a645a636fb
Sanger, Richard H.
eb4dde62-3c95-4a17-ac97-aba2a2ae5baf
Smith, Peter J. S.
003de469-9420-4f12-8f0e-8e8d76d28d6c

Osbourn, Damon M., Sanger, Richard H. and Smith, Peter J. S. (2005) Determination of single-cell oxygen consumption with impedance feedback for control of sample-probe separation. Analytical Chemistry, 77 (21), 6999-7004. (doi:10.1021/ac050326w). (PMID:16255601)

Record type: Article

Abstract

The ability to measure chemical gradients surrounding single cells provides novel insights into several areas of cell dynamics—particularly metabolism. Detection of metabolic oxygen consumption can be achieved from a single mammalian cell using a modulated amperometric sensor in a self-referencing mode. To date, however, apart from visual cues, we do not have a reliable and cell-compatible method for determining and stabilizing the position of such probes. In this paper, we report on having successfully measured the increase in the uncompensated resistance of an electrochemical cell upon approach to single, living, biological cells, while simultaneously measuring the metabolic oxygen consumption. This was accomplished by applying an ac and a dc excitation signal to the electrode. The applied ac waveform was a 100-kHz sine wave with an amplitude of 10 mV rms, while the dc voltage applied was -600 mV. The two signals were shown not to interfere with one another. Furthermore, it is shown that the sample-probe distance can be measured for approach to single cells on the order of 10-15-microm diameter and 5-microm height, with 100-nm resolution

Text
ac050326w.pdf - Version of Record
Download (287kB)

More information

Published date: November 2005
Organisations: University of Southampton

Identifiers

Local EPrints ID: 188821
URI: http://eprints.soton.ac.uk/id/eprint/188821
ISSN: 0003-2700
PURE UUID: b1ef615d-98ae-4e0d-ae07-c31d109fce99
ORCID for Peter J. S. Smith: ORCID iD orcid.org/0000-0003-4400-6853

Catalogue record

Date deposited: 06 Jun 2011 08:35
Last modified: 15 Mar 2024 03:38

Export record

Altmetrics

Contributors

Author: Damon M. Osbourn
Author: Richard H. Sanger

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 http://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.

×