Journal
ANALYTICAL CHEMISTRY
Volume 86, Issue 12, Pages 5740-5748Publisher
AMER CHEMICAL SOC
DOI: 10.1021/ac500059a
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Funding
- Deutsche Forschungsgemeinschaft [SCHA893/9-1, UN80/8-1]
- BAM
- Austrian Science Fund (FWF) through the Erwin-Schrodinger Fellowship Program [J 3471-N28]
- Austrian Science Fund (FWF) [J 3471] Funding Source: researchfish
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The production of high-quality self-assembled monolayers (SAMs) followed by layer-by-layer (LbL) self-assembly of macrocycles is essential for nanotechnology applications based on functional surface films. To help interpret the large amount of data generated by a standard ToF-SIMS measurement, principal component analysis (PCA) was used. For two examples, the advantages of a combination of ToF-SIMS and PCA for quality control and for the optimization of layer-by-layer self-assembly are shown. The first example investigates how different cleaning methods influence the quality of SAM template formation. The second example focuses on the LbL self-assembly of macrocycles and the corresponding stepwise surface modification.
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