The University of Southampton
University of Southampton Institutional Repository

Memristive biosensors based on full-size antibodies and antibody fragments

Memristive biosensors based on full-size antibodies and antibody fragments
Memristive biosensors based on full-size antibodies and antibody fragments

For the first time memristive biosensors developed by the incorporation of scAbs (single-chain antibody fragments) enabling label-free detection of free Prostate Specific Antigen (fPSA) for early-stage detection of prostate cancer (PC) are reported. In addition, the first ever-published report of a direct relationship between the size of the bio-probes used to transfer specificity to the sensor and the voltage gap is here included. The proposed bio-detection is achieved by means of a voltage gap acquired in the electrical response of memristive sensors obtained by the bio-modification of silicon nanowire arrays. A comparison between memristive biosensors based on full-size antibodies and antibody fragments is also demonstrated by analysis of the surface morphology via Scanning Electron Microscopy. This new kind of biosensors provide excellent analytical sensitivity with a limit-of-detection down to 0.144 pg/mL on PSA.

Antibody fragments, Cancer diagnosis, Memristive biosensors, scAb, Silicon nanowires
0925-4005
346-352
Tzouvadaki, Ioulia
a1025ec1-7606-453d-bc71-1f732a4c1f78
Zapatero-Rodríguez, Julia
dd6b1587-412d-45b5-a61f-8faa78129e7c
Naus, Sébastien
c2259f76-28f6-4169-aba9-6b00788bedf6
de Micheli, Giovanni
23af8e38-a795-4edf-b551-9094fdb781e0
O'Kennedy, Richard
d1196faa-86b1-4529-9a7f-5e39b09fd3f5
Carrara, Sandro
0001b4c5-1f62-4789-b0e9-5a187f58b893
Tzouvadaki, Ioulia
a1025ec1-7606-453d-bc71-1f732a4c1f78
Zapatero-Rodríguez, Julia
dd6b1587-412d-45b5-a61f-8faa78129e7c
Naus, Sébastien
c2259f76-28f6-4169-aba9-6b00788bedf6
de Micheli, Giovanni
23af8e38-a795-4edf-b551-9094fdb781e0
O'Kennedy, Richard
d1196faa-86b1-4529-9a7f-5e39b09fd3f5
Carrara, Sandro
0001b4c5-1f62-4789-b0e9-5a187f58b893

Tzouvadaki, Ioulia, Zapatero-Rodríguez, Julia, Naus, Sébastien, de Micheli, Giovanni, O'Kennedy, Richard and Carrara, Sandro (2019) Memristive biosensors based on full-size antibodies and antibody fragments. Sensors and Actuators, B: Chemical, 286, 346-352. (doi:10.1016/j.snb.2019.02.001).

Record type: Article

Abstract

For the first time memristive biosensors developed by the incorporation of scAbs (single-chain antibody fragments) enabling label-free detection of free Prostate Specific Antigen (fPSA) for early-stage detection of prostate cancer (PC) are reported. In addition, the first ever-published report of a direct relationship between the size of the bio-probes used to transfer specificity to the sensor and the voltage gap is here included. The proposed bio-detection is achieved by means of a voltage gap acquired in the electrical response of memristive sensors obtained by the bio-modification of silicon nanowire arrays. A comparison between memristive biosensors based on full-size antibodies and antibody fragments is also demonstrated by analysis of the surface morphology via Scanning Electron Microscopy. This new kind of biosensors provide excellent analytical sensitivity with a limit-of-detection down to 0.144 pg/mL on PSA.

This record has no associated files available for download.

More information

Accepted/In Press date: 1 February 2019
e-pub ahead of print date: 1 February 2019
Published date: 1 May 2019
Keywords: Antibody fragments, Cancer diagnosis, Memristive biosensors, scAb, Silicon nanowires

Identifiers

Local EPrints ID: 431543
URI: http://eprints.soton.ac.uk/id/eprint/431543
ISSN: 0925-4005
PURE UUID: 7e8b5cbf-e38c-4f07-a45e-af9cb89698ca

Catalogue record

Date deposited: 07 Jun 2019 16:30
Last modified: 17 Mar 2024 12:27

Export record

Altmetrics

Contributors

Author: Ioulia Tzouvadaki
Author: Julia Zapatero-Rodríguez
Author: Sébastien Naus
Author: Giovanni de Micheli
Author: Richard O'Kennedy
Author: Sandro Carrara

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.

×