Micropatterning of gold substrates based on poly(propylene sulfide-bl-ethylene glycol), (PPS-PEG) background passivation and the molecular-assembly patterning by lift-off (MAPL) technique

SURFACE SCIENCE

卷:602

Article

Feller, L.²  Bearinger, J. P.¹  Hubbell, J. A.^3,4  Textor, M.²  Tosatti, S.² 

[1] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA

[2] Swiss Fed Inst Technol ETH, BioInterface Grp, Lab Surface Sci & Technol, Zurich, Switzerland

[3] Ecole Polytech Fed Lausanne, Integrat Biosci Inst, Lausanne, Switzerland

[4] Ecole Polytech Fed Lausanne, Inst Chem Sci & Engn, Lausanne, Switzerland

关键词: biosensing;    photolithography;    ToF-SIMS;    surface plasmon techniques;    adsorption;    patterning;    self-assembly;    gold;   

DOI  :  10.1016/j.susc.2008.05.010

来源: Elsevier

【 摘 要 】

Poly(propylene sulfide-bl-ethylene glycol) (PPS-PEG) is an amphiphilic block copolymer that spontaneously adsorbs onto gold from solution. This results in the formation of a stable polymeric layer that renders the surface protein-resistant when an appropriate architecture is chosen. The established molecular-assembly patterning by lift-off (MAPL) technique can convert a prestructured resist film into a pattern of biointeractive chemistry and a non-interactive background. Employing the MAPL technique, we produced a micron-scale PPS-PEG pattern on a gold substrate, and then characterized the patterned structure with time-of-flight secondary ion mass spectrometry (ToF-SIMS) and atomic force microscopy (AFM). Subsequent exposure of the PPS-PEG/gold pattern to protein adsorption (full human serum) was monitored in situ; SPR-imaging (i-SPR) shows a selective adsorption of proteins on gold, but not on PPS-PEG areas. Analysis shows a reduction of serum adsorption up to 93% on the PPS-PEG areas as compared to gold, in good agreement with previous analysis of homogenously adsorbed PPS-PEG on gold. MAPL patterning of PPS-PEG block copolymers is straightforward, versatile and reproducible, and may be incorporated into biosensor-based surface analysis methods. (C) 2008 Elsevier B.V. All rights reserved.

【 授权许可】

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