| AVS 65th International Symposium & Exhibition | |
| Applied Surface Science Division | Monday Sessions |
| Session AS-MoM |
| Session: | Quantitative Surface Analysis |
| Presenter: | Sarah Coultas, Kratos Analytical Ltd, UK |
| Authors: | S.J. Coultas, Kratos Analytical Ltd, UK J.D.P. Counsell, Kratos Analytical Limited, UK C. Moffitt, Kratos Analytical Inc. C.J. Blomfield, Kratos Analytical Limited, UK A.J. Roberts, Kratos Analytical Limited, UK |
| Correspondent: | Click to Email |
The combinatorial approach has been used widely to discover new material phases for many years now, allowing rapid exploration of composition–structure properties in complex material systems1. Compositional mapping is central to obtaining comprehensive pictures of material systems and mapping active chemical properties such as oxidation state and alloying as a function of composition is an integral part of understanding the underlying physical and chemical mechanism of the properties. Here we will apply the traditional approach of combinatorial techniques to explore several model systems using X-ray photoelectron spectroscopy XPS demonstrating the use of group analysis for two different application - ternary alloy formation post thin-film deposition and polymer microarray biomaterial screening.
Ternary metal compounds are used in a wide range of applications; as high-performance alloy materials and electronic semiconductors. We have examined a range of thin-films of first-row transition metals co-deposited on wafers to form a matrix of ternary alloys. The surface composition was analysed with XPS to determine the stoichiometric mixing for different alloy compositions and the extent of oxidation and chemical bond formation during deposition. Further analysis of large datasets allows the user to determine areas of particular interest and performance for further investigation – leading onto more detailed bulk/surface comparison studies using depth profiling techniques. Combinatorial methods will also be exploited for screening of functional biomaterials. The surface composition of a series of polymer microarrays are analysed with XPS to correlate differences in surface chemistry with specific biological performance. This high throughput method allows for library databases to be created for parallel screening of a wide range of polymer blends.
Workflow and data-handling will be discussed for the different systems as will illustrations and set analyses.
C. J. Long, J. Hattrick-Simpers, M. Murakima, R. C. Srivastava, I. Takeuchi, V.L. Karen and X. Li, Rev. Sci. Inst., 78, 072217, 2007.