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Nanofluidics is the study of the behavior, manipulation, and control of fluids that are confined to structures of nanometer (typically 1-100 nm) characteristic dimensions (1 nm = 10-9 m). Fluids confined in these structures exhibit physical behaviors not observed in larger structures, such as those of micrometer dimensions and above, because the characteristic physical scaling lengths of the fluid, (e.g. Debye length, hydrodynamic radius) very closely coincide with the dimensions of the nanostructure itself. 

When structures approach the size regime corresponding to molecular scaling lengths, new physical constraints are placed on the behavior of the fluid. For example, these physical constraints induce regions of the fluid to exhibit new properties not observed in bulk, e.g. vastly increased viscosity near the pore wall; they may effect changes in thermodynamic properties and may also alter the chemical reactivity of species at the fluid-solid interface. A particularly relevant and useful example is displayed by electrolyte solutions confined in nanopores that contain surface charges, i.e. at electrified interfaces, as shown in the nanocapillary array membrane (NCAM) in the accompanying figure.

All electrified interfaces induce an organized charge distribution near the surface known as the electrical double layer. In pores of nanometer dimensions the electrical double layer may completely span the width of the nanopore, resulting in dramatic changes in the composition of the fluid and the related properties of fluid motion in the structure. For example, the drastically enhanced surface-to-volume ratio of the pore results in a preponderance of counter-ions (i.e. ions charged oppositely to the static wall charges) over co-ions (possessing the same sign as the wall charges), in many cases to the near-complete exclusion of co-ions, such that only one ionic species exists in the pore. This can be used for manipulation of species with selective polarity along the pore length to achieve unusual fluidic manipulation schemes not possible in micrometer and larger structures.



In 1965, Rice and Whitehead published the seminal contribution to the theory of the transport of electrolyte solutions in long (ideally infinite) nanometer-diameter capillaries.[1] Briefly, the potential, ϕ, at a radial distance, r, is given by the Poisson-Boltzmann equation,
\frac{1}{r}\frac{r}{dr}\left (r \frac{d\phi}{dr} \right )= \kappa^2 \phi \
where κ is the inverse Debye length,
\kappa = \sqrt{\frac{8\pi n e^2}{\epsilon k T}}
determined by the ion number density, n, the dielectric constant, ε, the Boltzmann constant, k, and the temperature, T. Knowing the potential, φ(r), the charge density can then be recovered from the Poisson equation, whose solution may be expressed as a modified Bessel function of the first kind, I0, and scaled to the capillary radius, a. An equation of motion under combined pressure and electrically-driven flow can then be written,
\frac{1}{r} \frac{d}{dr} \left (r \frac{d v_z}{dr} \right )= \frac{1}{\eta} \frac{dp}{dz} - \frac{F_z}{\eta}
where η is the viscosity, dp/dz is the pressure gradient, and Fz is the body force driven by the action of the applied electric field, Ez, on the net charge density in the double layer. When there is no applied pressure, the radial distribution of the velocity is given by,
v_z\left (r \right) = \frac{\epsilon \phi_0}{4 \pi \eta} E_z \left [ 1 - \frac {I_0 \left ( \kappa r \right )} {I_0 \left ( \kappa a \right )} \right ]
From the equation above, it follows that fluid flow in nanocapillaries is governed by the κa product, that is, the relative sizes of the Debye length and the pore radius. By adjusting these two parameters and the surface charge density of the nanopores, fluid flow can be manipulated as desired.


Nanostructures can be fabricated as single cylindrical channels, nanoslits, or nanochannel arrays from materials such as silicon, glass, polymers (e.g PMMA, PDMS, PCTE) and synthetic vesicles.[2] Standard photolithography, bulk or surface micromachining, replication techniques (embossing, printing, casting and injection molding), and nuclear track or chemical etching,[3][4] are commonly used to fabricate structures which exhibit characteristic nanofluidic behavior.


Because of the small size of the fluidic conduits, nanofluidic structures are naturally applied in situations demanding that samples be handled in exceedingly small quantities, including Coulter counting,[5] analytical separations and determinations of biomolecules, such as proteins and DNA,[6] and facile handling of mass-limited samples. One of the more promising areas of nanofluidics is its potential for integration into microfluidic systems, i.e. MicroTotal Analytical Systems or Lab-on-a-chip structures. For instance, NCAMs, when incorporated into microfluidic devices, can reproducibly perform digital switching, allowing transfer of fluid from one microfluidic channel to another,[7] selectivity separate and transfer analytes by size and mass,[7][8][9][10][11], mix reactants efficiently,[12] and separate fluids with disparate characteristics.[7][13] In addition, there is a natural analogy between the fluid handling capabilities of nanofluidic structures and the ability of electronic components to control the flow of electrons and holes. This analogy has been used to realize active electronic functions such as rectification[14] and field-effect[15][16] and bipolar transistor[17][18] action with ionic currents. Because the science of nanofluidics is still in its infancy, we can expect rapid development of new applications in the coming years.

See also


  1. ^ Rice, C. L.; Whitehead, R. Journal of Physical Chemistry 1965, 69, 4017-4024.
  2. ^ Karlsson, M.; Davidson, M.; Karlsson, R.; Karlsson, A.; Bergenholtz, J.; Konkoli, Z.; Jesorka, A.; Lobovkina, T.; Hurtig, J.; Voinova, M.; Orwar, O. Annu. Rev. Phys. Chem. 2004, 55, 613-649.
  3. ^ Lichtenberg, J.; Baltes, H. In Advanced Micro & Nanosystems, 2004; Vol. 1, pp 319-355., 4
  4. ^ Mijatovic, D.; Eijkel, J. C. T.; van den Berg, A. Lab on a Chip 2005, 5, 492-500.
  5. ^ Saleh, O. A.; Sohn, L. L. Review of Scientific Instruments 2001, 72, 4449-4451.
  6. ^ Han, C.; Jonas, O. T.; Robert, H. A.; Stephen, Y. C. Applied Physics Letters 2002, 81, 3058-3060.
  7. ^ a b c Cannon, J. D.; Kuo, T.-C.; Bohn, P. W.; Sweedler, J. V. Analytical Chemistry 2003, 75, 2224-2230.
  8. ^ Ramirez, P.; Mafe, S.; Alcaraz, A.; Cervera, J. Journal of Physical Chemistry B 2003, 107, 13178-13187.
  9. ^ Kohli, P.; Harrell, C. C.; Cao, Z.; Gasparac, R.; Tan, W.; Martin, C. R. Science 2004, 305, 984-986.
  10. ^ Jirage, K. B.; Hulteen, J. C.; Martin, C. R. Analytical Chemistry 1999, 71 4913-4918.
  11. ^ Kuo, T. C.; Sloan, L. A.; Sweedler, J. V.; Bohn, P. W. Langmuir 2001, 17, 6298-6303.
  12. ^ Tzu-C. Kuo, Kim, H.K.; Cannon, D.M. Jr.; Shannon, M.A.; Sweedler, J.V.; Bohn, P.W. Angewandte Chemie International Edition 2004, 43, 1862-1865.
  13. ^ Fa, K.; Tulock, J. J.; Sweedler, J. V.; Bohn, P. W. Journal of the American Chemical Society 2005, 127, 13928-13933.
  14. ^ Cervera, J.; Schiedt, B.; Neumann, R.; Mafe, S.; Ramirez, P., Ionic conduction, rectification, and selectivity in single conical nanopores. Journal of Chemical Physics 2006, 124, 104706.
  15. ^ Karnik, R.; Castelino, K.; Majumdar, A., Field-effect control of protein transport in a nanofluidic transistor circuit. Applied Physics Letters 2006, 88, 123114.
  16. ^ Karnik, R.; Fan, R.; Yue, M.; Li, D.Y.; Yang, P.D.; Majumdar, A., Electrostatic control of ions and molecules in nanofluidic transistors. NanoLetters 2005, 5, 943-948.
  17. ^ Daiguji, H.; Yang, P.D.; Majumdar, A., Ion transport in nanofluidic channels. NanoLetters 2004, 4, 137-142.
  18. ^ Ivan Vlassiouk and Zuzanna S. Siwy, Nanofluidic Diode. Nano Letters 2007, 7, 552-556
This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Nanofluidics". A list of authors is available in Wikipedia.
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