Characterization and quantification of biological micropatterns using cluster SIMS

Li Jung Chen, Sunny S. Shah, Stanislav V. Verkhoturov, Alexander Revzin, Emile A. Schweikert

Research output: Contribution to journalArticle

10 Scopus citations


Micropatterning is used widely in biosensor development, tissue engineering and basic biology. Creation of biological micropatterns typically involves multiple sequential steps which may lead to cross-contamination and contribute to suboptimal 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, C60 + time-of-flight secondary ion mass spectrometry (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)-silane (PEG-silane), patterning of photoresist, treatment with oxygen plasma and adsorption of collagen (I). The ITO surfaces were analyzed with 26-keV C60 + 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.

Original languageEnglish (US)
Pages (from-to)555-558
Number of pages4
JournalSurface and Interface Analysis
Issue number1-2
StatePublished - Jan 2011


  • biological micropatterns
  • C60 SIMS
  • cluster SIMS
  • collagen micropatterns
  • event-by-event bombardment/detection
  • micropatterns
  • single-impact SIMS

ASJC Scopus subject areas

  • Chemistry(all)
  • Condensed Matter Physics
  • Surfaces and Interfaces
  • Materials Chemistry
  • Surfaces, Coatings and Films

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  • Cite this

    Chen, L. J., Shah, S. S., Verkhoturov, S. V., Revzin, A., & Schweikert, E. A. (2011). Characterization and quantification of biological micropatterns using cluster SIMS. Surface and Interface Analysis, 43(1-2), 555-558.