Controlling the Stability and Reversibility of Micropillar Assembly by Surface Chemistry
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  • 作者:Mariko Matsunaga ; Michael Aizenberg ; Joanna Aizenberg
  • 刊名:Journal of the American Chemical Society
  • 出版年:2011
  • 出版时间:April 13, 2011
  • 年:2011
  • 卷:133
  • 期:14
  • 页码:5545-5553
  • 全文大小:1297K
  • 年卷期:v.133,no.14(April 13, 2011)
  • ISSN:1520-5126
文摘
For many natural and synthetic self-assembled materials, adaptive behavior is central to their function, yet the design of such systems has mainly focused on the static form rather than the dynamic potential of the final structure. Here we show that, following the initial evaporation-induced assembly of micropillars determined by the balance between capillarity and elasticity, the stability and reversibility of the produced clusters are highly sensitive to the adhesion between the pillars, as determined by their surface chemistry and further regulated by added solvents. When the native surface of the epoxy pillars is masked by a thin gold layer and modified with monolayers terminated with various chemical functional groups, the resulting effect is a graded influence on the stability of cluster formation, ranging from fully disassembled clusters to an entire array of stable clusters. The observed assembly stabilization effect parallels the order of the strengths of the chemical bonds expected to form by the respective monolayer end groups: NH2 鈮?OH < COOH < SH. For each functional group, the stability of the clusters can be further modified by varying the carbon chain length of the monolayer molecules and by introducing solvents into the clustered samples, allowing even finer tuning as well as temporal control of disassembly. Using these features together with microcontact printing, we demonstrate straightforward patterning of the microstructured surfaces with clusters that can be erased and regenerated at will by the addition of appropriate solvents. Subtle modifications to surface and solvent chemistry provide a simple way to tune the balance between adhesion and elasticity in real time, enabling structures to be designed for dynamic, responsive behavior.

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