Issue 4, 2004
From the journal:

Analyst

Simultaneous quantification of analytes in quaternary mixtures using dual pulse staircase voltammetry and genetically optimised neural networks

Edward Richards,a   Conrad Bessant*a  and  Selweyan Sainia  

* Corresponding authors

a Cranfield Centre for Analytical Science, Institute of BioScience & Technology, Cranfield University, Silsoe, Bedfordshire, UK

Abstract

This paper describes the simultaneous quantification of four aliphatic compounds (ethanol, methanol, fructose and glucose) mixed in varying concentrations. The method used employs dual pulse staircase voltammetry (DPSV) to acquire an electrochemical voltammogram from the mixture. An artificial neural network, optimised using an elitist genetic algorithm, is then used to determine the concentration of each individual analyte from the voltammogram. The best average RMS errors achieved when testing with unseen data were 5.03%, 7.72%, 3.29% and 4.00% for maximum analyte concentrations of ethanol, methanol, fructose and glucose respectively. This work represents an important step forward because DPSV data is notoriously difficult to calibrate due to complex electrode–analyte interactions, and had not previous been shown to be amenable to quaternary mixtures.

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Article information

DOI
https://doi.org/10.1039/B400577P
Article type
Paper
Submitted
13 Jan 2004
Accepted
24 Feb 2004
First published
17 Mar 2004

Analyst, 2004,129, 355-358

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Simultaneous quantification of analytes in quaternary mixtures using dual pulse staircase voltammetry and genetically optimised neural networks

E. Richards, C. Bessant and S. Saini, Analyst, 2004, 129, 355 DOI: 10.1039/B400577P

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