Literature DB >> 19708253

Hydrodynamically tunable affinities for fluidic assembly.

Mekala Krishnan1, Michael T Tolley, Hod Lipson, David Erickson.   

Abstract

Most current micro- and nanoscale self-assembly methods rely on static, preprogrammed assembly affinities between the assembling components such as capillarity, DNA base pair matching, and geometric interactions. While these techniques have proven successful at creating relatively simple and regular structures, it is difficult to adapt these methods to enable dynamic reconfiguration of the structure or on-the-fly error correction. Here we demonstrate a technique to hydrodynamically tune affinities between assembling components by direct thermal modulation of the local viscosity field surrounding them. This approach is shown here for two-dimensional silicon elements of 500 microm length using a thermorheological fluid that undergoes reversible sol-gel transition on heating. Using this system, we demonstrate the ability to dynamically change the assembly point in a fluidic self-assembly process and selectively attract and reject elements from a larger structure. Although this technique is demonstrated here for a small number of passive mobile components around a fixed structure, it has the potential to overcome some of the limitations of current static affinity based self-assembly.

Entities:  

Year:  2009        PMID: 19708253     DOI: 10.1021/la803517f

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  4 in total

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2.  Proposal for Alzheimer's diagnosis using molecular buffer and bus network.

Authors:  S Mitatha; N Moongfangklang; M A Jalil; N Suwanpayak; T Saktioto; J Ali; P P Yupapin
Journal:  Int J Nanomedicine       Date:  2011-06-14

3.  Blood cleaner on-chip design for artificial human kidney manipulation.

Authors:  N Suwanpayak; M A Jalil; M S Aziz; F D Ismail; J Ali; P P Yupapin
Journal:  Int J Nanomedicine       Date:  2011-05-02

4.  Fluid-Mediated Stochastic Self-Assembly at Centimetric and Sub-Millimetric Scales: Design, Modeling, and Control.

Authors:  Bahar Haghighat; Massimo Mastrangeli; Grégory Mermoud; Felix Schill; Alcherio Martinoli
Journal:  Micromachines (Basel)       Date:  2016-08-06       Impact factor: 2.891

  4 in total

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