Characterization and quantification of biological micropatterns using Cluster-SIMS.

Abstract

Micropatterning is used widely in biosensor development, tissue engineering and basic biology. Creation of biological micropatterns typically involves multiple sequential steps that may lead to cross-contamination and may contribute to sub-optimal performance of the surface. Therefore, there is a need to develop novel strategies for characterizing location-specific chemical composition of biological micropatterns. In this paper, C(60) (+) ToF-SIMS operating in the event-by-event bombardment-detection mode was used for spatially resolved chemical analysis of micropatterned indium tin oxide (ITO) surfaces. Fabrication of the micropatterns involved multiple steps including self-assembly of poly (ethylene glycol) (PEG)-silane, patterning of photoresist, treatment with oxygen plasma and adsorption of collagen (I). The ITO surfaces were analyzed with 26 keV C(60) (+)SIMS run in the event-by-event bombardment-detection mode at different steps of the modification process. We were able to evaluate the extent of cross-contamination between different steps and quantify coverage of the immobilized species. The methodology described here provides a novel means for characterizing the composition of biological micropatterns in a quantitative and spatially-resolved manner.

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Cite this paper

@article{Chen2011CharacterizationAQ, title={Characterization and quantification of biological micropatterns using Cluster-SIMS.}, author={Li-Jung Chen and Sunny Satish Shah and Stanislav V Verkhoturov and Alexander Revzin and Emile A Schweikert}, journal={Surface and interface analysis : SIA}, year={2011}, volume={43 1-2}, pages={555-558} }