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Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
Published on: April 30, 2019
Characterization and quantification of biological micropatterns using Cluster-SIMS
Li-Jung Chen1, Sunny S Shah, Stanislav V Verkhoturov
1Department of Chemistry, Texas A&M University, College Station, TX, USA.
Surface and Interface Analysis : SIA
|February 1, 2011
Summary
This study introduces a new method using C(60) (+) Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) to chemically analyze micropatterned surfaces. This technique helps evaluate cross-contamination and quantify immobilized species in biosensor development and tissue engineering.
Area of Science:
- Surface Science
- Analytical Chemistry
- Materials Science
Background:
- Micropatterning is crucial for biosensors and tissue engineering.
- Current methods for creating biological micropatterns can lead to cross-contamination and affect surface performance.
- There is a need for advanced techniques to characterize the chemical composition of micropatterned surfaces with spatial resolution.
Purpose of the Study:
- To develop and demonstrate a novel strategy for spatially resolved chemical analysis of micropatterned surfaces.
- To evaluate the extent of cross-contamination during micropattern fabrication.
- To quantify the coverage of immobilized biomolecules on patterned surfaces.
Main Methods:
- Utilized C(60) (+) Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) in event-by-event bombardment-detection mode.
- Analyzed micropatterned indium tin oxide (ITO) surfaces at various fabrication stages.
- Micropatterning involved poly(ethylene glycol) (PEG)-silane self-assembly, photoresist patterning, oxygen plasma treatment, and collagen adsorption.
Main Results:
- Achieved spatially resolved chemical analysis of micropatterned ITO surfaces.
- Successfully evaluated cross-contamination between sequential fabrication steps.
- Quantified the surface coverage of immobilized species, such as collagen (I).
Conclusions:
- C(60) (+) ToF-SIMS in event-by-event mode offers a powerful tool for characterizing biological micropatterns.
- This methodology enables quantitative and spatially resolved chemical composition analysis.
- The technique is valuable for optimizing surface modification processes in fields like biosensor development and tissue engineering.
