Holzweber Markus, Heinrich Thomas, Kunz Valentin, Richter Sebastian, Traulsen Christoph H-H, Schalley Christoph A, Unger Wolfgang E S
BAM-Bundesanstalt für Materialforschung und-prüfung, Unter den Eichen 44-46, 12203 Berlin, Germany.
Anal Chem. 2014 Jun 17;86(12):5740-8. doi: 10.1021/ac500059a. Epub 2014 May 29.
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.
高质量自组装单分子层（SAMs）的制备以及大环化合物的逐层（LbL）自组装对于基于功能表面膜的纳米技术应用至关重要。为了帮助解释标准飞行时间二次离子质谱（ToF-SIMS）测量产生的大量数据，使用了主成分分析（PCA）。通过两个例子展示了ToF-SIMS和PCA相结合在质量控制以及逐层自组装优化方面的优势。第一个例子研究了不同的清洗方法如何影响SAM模板形成的质量。第二个例子聚焦于大环化合物的LbL自组装以及相应的逐步表面修饰。
