Empirical model for identifying protein concentrations in wound using cyclic voltammetry

Elsaboni, Y. ORCID: 0000-0002-4304-5589, Hunt, J. ORCID: 0000-0002-5168-4778, Moffatt, C. and Wei, Y. ORCID: 0000-0001-6195-8595, 2021. Empirical model for identifying protein concentrations in wound using cyclic voltammetry. IEEE Sensors Letters, 5 (11). ISSN 2475-1472

[img]
Preview
Text
1479329_Wei.pdf - Post-print

Download (724kB) | Preview

Abstract

The establishment of an accurate and efficient method for the sensitive detection of protein concentrations in fluids using miniaturized electrochemical sensors is presented. As protein levels in wounds can be utilized to assess the status and severity of a wound and determine the best course of treatment, real-time quantification is potentially extremely valuable. The experimental methodology for monitoring protein concentrations using screen-printed carbon electrodes (SPCEs) that requires minimal sample size (as small as 80 mu L) for each measurement is presented. The technique was modeled and implemented using bovine serum albumin concentrations from 0.3 to 30 mg/ml and was used to detect changes in concentration. The results demonstrated a good stability and reproducibility when making measurements on different protein concentrations. This technique was tested and verified using two different types of SPCEs. Although both consist of three electrode electrochemical cells, one has an added Poly-L-Lysine coating to anchor protein and improve efficiency. The objective of this letter was to establish for the first time a device with the necessary mathematical model that can be used by clinicians to assess the severity of the wound through measuring the protein concentration.

Item Type: Journal article
Publication Title: IEEE Sensors Letters
Creators: Elsaboni, Y., Hunt, J., Moffatt, C. and Wei, Y.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: November 2021
Volume: 5
Number: 11
ISSN: 2475-1472
Identifiers:
NumberType
10.1109/lsens.2021.3119420DOI
1479329Other
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 09 Dec 2021 14:16
Last Modified: 09 Dec 2021 14:16
URI: http://irep.ntu.ac.uk/id/eprint/45086

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year