Autor: |
Steven N. Merz, Zachary J. Farrell, Caroline Dunn, David Green, Sergei A. Egorov, Jon Seager |
Rok vydání: |
2015 |
Předmět: |
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Zdroj: |
Angewandte Chemie International Edition. 54:6479-6482 |
ISSN: |
1433-7851 |
DOI: |
10.1002/anie.201500906 |
Popis: |
MALDI mass-spectrometry measurements are combined with self-consistent mean-field (SCF) calculations to detect and predict ligand phase separation on Ag nanoparticles. The experimental and theoretical techniques complement each other by enabling quantification of the nearest-neighbor distribution of a ligand mixture in a monolayer shell. By tracking a characteristic metallic fragment family, analysis of a MALDI spectrum produces a frequency distribution corresponding to specific ligand patterning. Inherent to the SCF calculation is the enumeration of local interactions that dictate ligand assembly. Interweaving MALDI and SCF facilitates a comparison between the experimentally and theoretically derived frequency distributions as well as their deviation from a well-mixed state. Thus, we combine these techniques to detect and predict phase separation in monolayers that mix uniformly or experience varying degrees of de-mixing, including microphase separation and stripe formation. Definition of MALDI removed as this is a commonly recognized technique. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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