Online proceedings - EDA Publishing Association
Online proceedings - EDA Publishing Association
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 />
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