4.4 Review

Characterization of polymeric surfaces and interfaces using time-of-flight secondary ion mass spectrometry

期刊

JOURNAL OF POLYMER SCIENCE
卷 60, 期 7, 页码 1174-1198

出版社

WILEY
DOI: 10.1002/pol.20210282

关键词

depth profiling; imaging; spectral analysis; time-of-flight secondary ion mass spectrometry; ToF-SIMS

资金

  1. University of Tennessee [1934045]

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ToF-SIMS is a powerful tool for chemical analysis of surfaces, particularly in polymer science, due to its ability to detect a broad mass range with good resolution. It can distinguish between polymers with similar compositions or functional groups without the need for chemical labeling techniques. ToF-SIMS can generate both two-dimensional images and three-dimensional depth profiles, providing valuable insights for characterizing polymer surfaces.
Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is used for chemical analysis of surfaces. ToF-SIMS is a powerful tool for polymer science because it detects a broad mass range with good mass resolution, thereby distinguishing between polymers that have similar elemental compositions and/or the same types of functional groups. Chemical labeling techniques that enhance contrast, such as deuterating or staining one constituent, are generally unnecessary. ToF-SIMS can generate both two-dimensional images and three-dimensional depth profiles, where each pixel in an image is associated with a complete mass spectrum. This Review begins by introducing the principles of ToF-SIMS measurements, including instrumentation, modes of operation, strategies for data analysis, and strengths/limitations when characterizing polymer surfaces. The sections that follow describe applications in polymer science that benefit from characterization by ToF-SIMS, including thin films and coatings, polymer blends, composites, and electronic materials. The examples selected for discussion showcase the three standard modes of operation (spectral analysis, imaging, and depth profiling) and highlight practical considerations that relate to experimental design and data processing. We conclude with brief comments about broader opportunities for ToF-SIMS in polymer science.

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