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Annual Report 2007 - The Australian Nanotechnology Network

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• A vast range of optimised experimental geometries can be rapidly fabricated<br />

and tested;<br />

• <strong>The</strong> minute mixing and reaction chambers offer significant improvements in<br />

analysis times and the sample volumes required;<br />

• Wide ranges of sensor applications are possible (eg biochemical,<br />

electroanalytical chemistry, modified electrodes, etc).<br />

(2) Computer aided design<br />

<strong>The</strong> electrochemical responses were modelled using similar strategies to those<br />

developed by Dr. Fisher’s group (Henley, Fisher et al. 2005; Sullivan, Johns et al.<br />

2005; Matthews, Du et al. 2006). We employed simulations that exploited a mesh of<br />

triangular elements with a linear interpolation polynomial to approximate the<br />

variation of the concentration across each element. In these simulations finite<br />

element based codes were used in order to<br />

• Predict the fluid flow properties within candidate reactor designs;<br />

• Calculate the chemical reactant/intermediate/product distribution within the<br />

cells; a vast range of optimised experimental geometries can be rapidly<br />

fabricated and tested;<br />

• Extract kinetic/mechanistic parameters for processes of interest;<br />

• Act as a computer aided design tool for the optimisation of candidate sensor<br />

configurations.<br />

<strong>The</strong> time dependent concentration variation of the chemical species within the cells<br />

was calculated. <strong>The</strong> simulations were performed in two stages. First the velocity<br />

profiles within the devices were calculated by solution of the appropriate form of the<br />

Navier-Stokes equations, in an analogous manner to those applied to larger scale<br />

flow through electrochemical devices. A weighted residual method was used to<br />

formulate the system equations required, in an analogous manner to those<br />

employed previously by the group for fluid dynamic problems. Solution of the<br />

system equations generated was achieved using standard matrix routines. <strong>The</strong><br />

second stage of the simulations used the velocity profiles generated from the fluid<br />

dynamic calculations with a code employed to tackle the time dependent coupled<br />

convection-diffusion-reaction transport problems.<br />

(3) Bioelectrochemical Processing and Analysis<br />

By taking advantage of our established approach in Dr. Fisher’s group, glucose<br />

oxidase and peroxidase were used as model enzymes and immobilised onto a<br />

vertically-aligned single-walled carbon nanotube array directly anchored to a<br />

40

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