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结合气体团簇离子束的X射线光电子能谱法对薄膜中埋入界面处聚合物结构的表征

Characterization of Polymer Structure at Buried Interfaces in Films by X-ray Photoelectron Spectroscopy Combined with Gas Cluster Ion Beam.

作者信息

Saeki Shintaro, Taneda Hidenobu, Abe Tatsuki, Tanaka Keiji

机构信息

Department of Applied Chemistry, Kyushu University, Fukuoka 819-0395, Japan.

Center for Polymer Interface and Molecular Adhesion Science, Kyushu University, Fukuoka 819-0395, Japan.

出版信息

Langmuir. 2025 Apr 29;41(16):10668-10675. doi: 10.1021/acs.langmuir.5c00911. Epub 2025 Apr 20.

Abstract

Understanding the aggregation states of polymers at various interfaces, especially buried interfaces, is of pivotal importance not only from an inherent academic interest but also for the design and construction of functional materials and devices. However, precise analysis through laboratory-scale experiments remains challenging. In this study, we focused on X-ray photoelectron spectroscopy combined with a gas cluster ion beam (GCIB/XPS). First, the interfacial width of a polymer bilayer along the normal direction was evaluated using this method and compared with values obtained from neutron reflectivity experiments and theoretical calculations. This makes it clear that GCIB/XPS is well-suited for depth profiling of polymer interfaces at the nanometer scale under appropriate conditions. Building on this information, we applied the method to an epoxy resin adhered to a copper substrate, revealing that amine hardener molecules were segregated at the adhered interface. This study highlights that GCIB/XPS, despite being destructive, is a powerful tool for the structural analysis of buried polymer interfaces, and further advancements in this field are highly anticipated.

摘要

了解聚合物在各种界面,尤其是埋藏界面处的聚集状态,不仅出于内在的学术兴趣,而且对于功能材料和器件的设计与构建都至关重要。然而,通过实验室规模的实验进行精确分析仍然具有挑战性。在本研究中,我们聚焦于结合气体团簇离子束的X射线光电子能谱(GCIB/XPS)。首先,使用该方法评估了聚合物双层沿法线方向的界面宽度,并与从中子反射率实验和理论计算获得的值进行了比较。这表明在适当条件下,GCIB/XPS非常适合在纳米尺度上对聚合物界面进行深度剖析。基于此信息,我们将该方法应用于粘附在铜基板上的环氧树脂,发现胺类固化剂分子在粘附界面处发生了偏析。本研究强调,尽管GCIB/XPS具有破坏性,但它是用于埋藏聚合物界面结构分析的强大工具,并且该领域的进一步进展备受期待。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f2d/12044697/484c60d8c8d2/la5c00911_0001.jpg

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