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Chemical fingerprinting of polyvinyl acetate and polycarbonate using electron energy-loss spectroscopy
Polymer Chemistry ( IF 4.1 ) Pub Date : 2020-07-15 , DOI: 10.1039/d0py00771d
Ruchi Pal 1, 2, 3, 4 , Laure Bourgeois 5, 6, 6, 7, 8 , Matthew Weyland 5, 6, 6, 7, 8 , Arun K. Sikder 4, 9, 10 , Kei Saito 6, 7, 11, 12 , Alison M. Funston 6, 7, 11, 12, 13 , Jayesh R. Bellare 2, 3, 4, 14
Affiliation  

Accurate characterization of technologically relevant materials, particularly through spectroscopic techniques, necessitates the availability of reference information. However for electron energy-loss spectroscopy (EELS), reference spectra in the form of chemical fingerprints of even common polymers are not readily available. Here, the chemical fingerprints of polymers, which have been generated through EELS, can be used for the identification and compositional analysis of polymeric materials by chemical bond mapping with nanoscale spatial resolution. Electron energy-loss spectra of polyvinyl acetate (PVAc) and polycarbonate (PC), including the low-loss region and core-loss edges of carbon and oxygen, are reported. Additionally, decomposition of the carbon K-edge fine-structure of both polymers was performed and the observed peaks were assigned to bonding transitions. The carbon K-edge from low energy resolution spectra was also analyzed to address the challenges associated with the processing of easily available low energy resolution EELS data. This work demonstrates the high sensitivity of EELS towards identification of changes in the chemical structure of polymeric materials, which highlights its potential for wider applicability in polymer science.

中文翻译:

电子能量损失谱法对聚乙酸乙烯酯和聚碳酸酯的化学指纹图谱

准确表征技术上相关的材料(尤其是通过光谱技术)需要提供参考信息。但是,对于电子能量损失谱(EELS),即使是普通聚合物的化学指纹形式的参考谱也不易获得。在此,通过EELS生成的聚合物的化学指纹可通过具有纳米级空间分辨率的化学键映射用于聚合物材料的识别和组成分析。报告了聚乙酸乙烯酯(PVAc)和聚碳酸酯(PC)的电子能量损失谱,包括碳和氧的低损失区和核心损失边缘。另外,两种聚合物的碳K边缘精细结构均进行了分解,并将观察到的峰归属于键合跃迁。还分析了低能量分辨率光谱中的碳K边缘,以解决与处理容易获得的低能量分辨率EELS数据相关的挑战。这项工作证明了EELS对鉴定聚合物材料化学结构变化的高度敏感性,从而突出了其在聚合物科学中的广泛应用的潜力。
更新日期:2020-09-01
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