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Online proceedings - EDA Publishing Association

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11-13 <br />

May, 2011, Aix-en-Provence, France<br />

<br />

Measurement of Diffusivity in Nanochannels<br />

Yu-Tze Tsai 1 1, 2*<br />

and Gou-Jen Wang 1 Department of Mechanical Engineering<br />

2 Graduate Institute of Biomedical Engineering<br />

National Chung-Hsing University, Taichung 40227, Taiwan<br />

Tel:+886-4-22840725 x 320<br />

Email: gjwang@dragon.nchu.edu.tw<br />

Abstract- Diffusion is the ruling manner of the migration of ions<br />

through a nanochannel. Fick’s law and its derivatives are used as<br />

the basis for diffusion mathematical modeling. In this study, a<br />

simple principle for the detection of the diffusivity of<br />

nanoparticles in a nanochannel based on the Fick’s first law is<br />

proposed. The diffusivity in a nanochannel can be estimated by<br />

simply plotting the natural logarithmic value of the electrolyte<br />

conductance difference across the nanochannel versus time and<br />

calculating its slope. Experimental results demonstrate the<br />

feasibility of the proposed nanochannel diffusivity measuring<br />

scheme.<br />

I. INTRODUCTION<br />

Most of the physiological reactions in a cell are owing to<br />

the small changes of the surrounding environment. The small<br />

variations of the ambient environment are carried out in terms<br />

of the migrations of ions through the ion channels of the cell<br />

membrane, resulting in slight molecular variations inside the<br />

cell. The migrations of calcium ions, potassium ions, and<br />

sodium ions are the well-known examples. The slight<br />

molecular variations hence induce syntheses of corresponding<br />

macromolecules such as proteins to counter the variations. The<br />

in-vivo detection of the physiological reaction induced<br />

molecular variations can provide a very useful tool for better<br />

understanding of the physiological reaction. Hence the trend of<br />

nanopore research has been pushed forward by the recent<br />

progress in nanobiotechnology. The applications of nanopore in<br />

biotechnology include ion-pumping [1], ion-channel biosensors<br />

[2], DNA sequencing [3-4], polymers moving counting [5],<br />

biosensor [6], artificial cell membrane [7, 8], and nucleic acid<br />

detection [9-12].<br />

Diffusion is the ruling manner of the migration of ions<br />

through a nanochannel. Diffusion due to concentration gradient<br />

allows particles to travel from a higher concentration region to a<br />

lower concentration region. Diffuser, mixer, reactor, and<br />

doping of semiconductor are the commonly seen applications in<br />

our daily life [13-15]. Fick’s law [16] and its derivatives are<br />

used as the basis for diffusion mathematical modeling [17-19].<br />

If effective methods for the on-line sensing of the diffusion<br />

coefficient and concentration gradient can be developed, it will<br />

provide a useful tool for the modeling and investigation of the<br />

dynamic behavior of ions in a nanochannel. Resultantly the<br />

physiological reactions of a cell due to small variations of the<br />

ambient environment can be further explored.<br />

For the measurement of diffusivity in microchannel<br />

devices, many approaches such as the on-the-flyby<br />

-electrophoresis [20], stopped flow [21], and the E-field method<br />

[22] have been proposed. Culbertson et al. measured the<br />

diffusion coefficient of microfluidic devices using a static<br />

imaging method and three dynamic methods--stopped flow,<br />

E-field method, and length method [23]. Wu et al. [24]<br />

observed that the etching rate of oxide in a nanochannel is much<br />

slow than that in a microchannel. It was presumed that the cause<br />

is the low diffusivity of the etchant molecules in a nanochannel.<br />

If the diffusivity in a microchannel was multiplied by 6.5×10 -2<br />

as the nanochannel diffusivity, the resulting etching rate could<br />

match the experimental results. However, the presumption for<br />

the nanochannel diffusivity was not further verified by a real<br />

measurement.<br />

Besides the ion concentration gradient across the<br />

nanochannel, the migration of charged nanoparticles in a<br />

nanochannel was also influenced by the electric double-layer<br />

and the Zeta potential on the channel wall [25-27]. A feasible<br />

method for the measurement of the diffusivity in a nannochanel<br />

is thus desired. In this study, a simple principle for the detection<br />

of the diffusivity of nanoparticles in a nanochannel based on the<br />

Fick’s first law is proposed. Anodic aluminum oxide (AAO)<br />

membranes are used to replace membranes with single<br />

nanochannel for the measurement of the diffusivity. A<br />

home-made electrochemical bath that can hold an AAO<br />

membrane to separate vessels with different ion concentrations<br />

is built. The across channel ionic concentration difference is<br />

estimated in terms of the conductance difference across the<br />

AAO membrane using a Wheatstone bridge circuit.<br />

II. MATERIALS AND METHODS<br />

Assuming ideal diffusive behavior, for a sufficiently low<br />

diffusivity membrane and sufficiently large vessels, the<br />

concentration profile across the membrane should become<br />

practically linear after some initial induction period. At this<br />

point, the flux of iodide would be constant across the membrane,<br />

and the corresponding concentration gradient would also be<br />

constant. This behavior is known as the constant gradient<br />

approximation (CGA) [28], and has been used elsewhere to<br />

analyze diffusion data. The schematic shown in Figure 1<br />

depicts a system in the constant gradient state. The thin line<br />

depicts the concentration of iodide throughout the system;<br />

382

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