Unraveling the thermal stability of aromatic disulfide epoxy vitrimers: a comprehensive study using principal component analysis (PCA)†

Paula Fanlo, Alaitz Ruiz de Luzuriaga, Gorka Albizu, Marta Ximenis, Alaitz Rekondo, Hans Jürgen Grande and Haritz Sardon
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Abstract

Polymer networks possessing reversible covalent crosslinks have emerged as an interesting type of material that combine the excellent performance of thermoset materials with the processability of thermoplastic materials. Several studies have focused on different reversible bonds. However, little or no attention has been paid to degradation events occurring during reprocessing. In this study, we utilize 1H NMR spectra coupled with chemometric methods to define the best processing conditions for aromatic disulfide-based vitrimers. By using a principal component analysis (PCA) tool, we show it is possible to gauge which variable has a greater impact on the degradation of aromatic disulfides. Analyzing 80 different spectra simultaneously, the PCA reveals that from the analyzed variables, the processing time is the most influential variable, followed by temperature. Using Multivariate Curve Resolution (MCR) models we show that it is possible to estimate the extent of degradation as a function of the different experimental conditions. The data obtained with model compounds using chemometrics has been validated by analyzing the impact of reprocessing conditions in vitrimer networks. Our study suggests that NMR analysis combined with chemometric tools can provide highly valuable information to define processing conditions for covalent adaptable networks with minimal degradation.

Abstract Image

揭示芳香族二硫环氧三聚体的热稳定性:利用主成分分析法(PCA)进行的综合研究†
具有可逆共价交联的聚合物网络已成为一种有趣的材料类型,它兼具热固性材料的优异性能和热塑性材料的可加工性。一些研究重点关注不同的可逆键。然而,很少或根本没有关注再加工过程中发生的降解事件。在本研究中,我们利用 1H NMR 光谱和化学计量学方法来确定芳香族二硫基玻璃体的最佳加工条件。通过使用主成分分析 (PCA) 工具,我们发现可以判断哪个变量对芳香族二硫化物的降解影响更大。通过同时分析 80 个不同的光谱,PCA 发现在所分析的变量中,加工时间是影响最大的变量,其次是温度。利用多变量曲线解析(MCR)模型,我们可以估算出不同实验条件下的降解程度。通过分析玻璃聚合物网络中再加工条件的影响,利用化学计量学获得的模型化合物数据得到了验证。我们的研究表明,核磁共振分析与化学计量学工具相结合,可以提供非常有价值的信息,从而确定共价适应性网络的加工条件,并将降解程度降至最低。
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