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Lookup NU author(s): Dr Jing Kang, Anisah Hussain, Professor Mike TrenellORCiD, Professor Eileen Yu
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
In this study, detection and measurement of non-esterified fatty acids (NEFA) concentration has been achieved by electrochemical method in one operation step. Multilayer films of poly(dimethyldiallyammonium chloride) (PDA) wrapped multi-wall carbon nanotubes (MWCNTs) and two enzymes acyl-CoA synthetase (ACS) and acyl-CoA oxidase (ACOD) were assembled on a carbon screen printed electrode by the Layer-by-Layer (LbL) immobilization. The fine polymer-enzyme layers produced by the LbL method, allowed mass transport from the reactant cascading down the layers to accomplish the two-step enzyme reactions. The polymer-CNTs and enzyme modified electrode exhibited good electrocatalytical property retaining enzyme activity. Linear increase of anodic current from H2O2 produced from NEFA oxidation was observed with the increasing concentrations of oleic acid. These results indicate a promising technique for a simple, rapid one-step determination of NEFA for diabetes management.
Author(s): Kang J, Hussain AT, Catt M, Trenell M, Haggett B, Yu EH
Publication type: Article
Publication status: Published
Journal: Sensors & Actuators B: Chemical
Year: 2014
Volume: 190
Pages: 535-541
Print publication date: 01/01/2014
Online publication date: 12/09/2013
Acceptance date: 03/09/2013
Date deposited: 12/06/2014
ISSN (print): 0925-4005
ISSN (electronic): 1873-3077
Publisher: Elsevier SA
URL: http://dx.doi.org/10.1016/j.snb.2013.09.011
DOI: 10.1016/j.snb.2013.09.011
Notes: This study presented the first electrochemical biosensor to measure non-esterified fatty acids (NEFA) concentrations in blood samples for diabetes management. It provides further energy metabolic information in addition to current blood glucose measurement. Compared to the existing commercial assay kits that use optical method, this study provides a low cost, one-step and fast method for NEFA detection. It was developed with an EPSRC KTA project in collaboration with clinicians studying diabetes (Prof. Michael Trenell, michael.trenell@ncl.ac.uk, and University of Bedfordshire, Dr. Barry Haggett, barry.haggett@beds.ac.uk). This work has already attracted interests from industry. Currently, Philips and Powerhouse biologics have expressed interests to develop this sensor further.
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