We have developed a three-way evolved gas analysis-mass spectrometry technique combined with principal component analysis (EGA-MS-PCA) to probe the interfacial state between matrix and filler in poly(styrene-b-butadiene-b-styrene) (SBS) nanocomposites containing graphene nanoplatelets (GNPs). Although the peaks arising from the polystyrene and polybutadiene components present in the system were readily captured, the different patterns of peak intensities, which vary according to the applied temperature and GNP content, make interpretation of the data difficult. The data sets are thus subjected to mathematical decomposition based on principal component analysis (PCA) to selectively derive essential information. The EGA-MS-PCA process reveals that the inclusion of GNPs essentially works to restrict the decomposition of the polystyrene component in the SBS sample, mostly indicating the formation of a π–π stacking interaction between the SBS and GNPs. This observation, in turn, provides in-depth understanding that is likely to lead to stiffness of SBS by incorporation of GNPs.

我们开发了一种三路逸出气体分析-质谱技术结合主成分分析（EGA-MS-PCA）来探测聚（苯乙烯-b-丁二烯-b）中基质和填料之间的界面状态。-苯乙烯）（SBS）纳米复合材料包含石墨烯纳米片（GNP）。尽管系统中存在的聚苯乙烯和聚丁二烯组分产生的峰很容易被捕获，但峰强度的不同模式（根据应用温度和 GNP 含量而变化）使数据解释变得困难。因此，对数据集进行基于主成分分析 (PCA) 的数学分解，以有选择地导出基本信息。EGA-MS-PCA 过程表明，包含 GNP 基本上可以限制 SBS 样品中聚苯乙烯组分的分解，主要表明 SBS 和 GNP 之间形成了 π-π 堆积相互作用。反过来，这种观察