Polymer Brush Gradients by Adjusting the Functional Density Through Temperature Gradient

被引:12
|
作者
Pinchasik, Bat-El [1 ]
Tauer, Klaus [2 ]
Moehwald, Helmuth [1 ]
Skirtach, Andre G. [3 ]
机构
[1] Max Planck Inst Colloids & Interfaces, Dept Interfaces, D-14476 Munich, Germany
[2] Max Planck Inst Colloids & Interfaces, Dept Colloid Chem, D-14476 Munich, Germany
[3] Univ Ghent, Dept Mol Biotechnol & NB Photon, B-9000 Ghent, Belgium
来源
ADVANCED MATERIALS INTERFACES | 2014年 / 1卷 / 02期
关键词
TRANSFER RADICAL POLYMERIZATION; SELF-ASSEMBLED MONOLAYERS; CHEMICAL LITHOGRAPHY; POLYELECTROLYTE MULTILAYERS; PROTEIN ADSORPTION; SURFACE-ROUGHNESS; SILICON; LAYERS; POLYACRYLAMIDE; COMBINATORIAL;
D O I
10.1002/admi.201300056
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The group of silanes is one of the most abundant classes of molecules used for surface modification. In most studies, silanization is made from the vapor phase or solution. Here, an easy, robust, and fast way not only to modify, but also to map, control, and predict the wetting profiles on silicon surfaces after silanization and the final characteristics of a brush layer polymerized from this silane template profile are presented. The initiator molecule, 2-bromo-2-methyl-N-3-(triethoxysilyl) propyl propanamide (BTPAm), is spin-casted on a silicon substrate and a thermal gradient is applied using a combinatorial approach for studying the influence of temperature on the spin-casted silanes. Subsequently, polyacrylamide (PAAm) brushes are grown from the initiating end group of the BTPAm molecules through atom transfer radical polymerization (ATRP). Simulations of the heat distribution inside the silicon wafer allow both confirming the mapping of surface properties and designing desired profiles by predicting thermal distributions. An analytical expression for quantification is also provided. Thus, the wetting properties, surface roughness, and morphology of the brush layer after polymerization are mapped and correlated with the initial BTPAm gradient profile. The studies presented are envisioned to be of interest for designing surface profiles with different wetting properties, facilitating polymer brush growth, and to be used as predictive tools.
引用
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页数:8
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