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Quantification of the degree of mixing of cellulose nanocrystals in thermoplastics using Raman spectroscopy

机译:使用拉曼光谱法定量分析纤维素纳米晶体在热塑性塑料中的混合程度

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摘要

A combination of Raman imaging with image analysis has been used to quantify the degree of mixing of cellulose nanocrystals (CNCs) in melt compounded high density polyethylene (HDPE). Raman spectroscopy is shown to provide an accurate “fingerprint” of the composition of the crosssectional area of the end section of a formed composite. This information is then converted to a chemical image allowing spatial quantification of the mixing of CNCs in the HDPE. A degree of mixing between CNCs and HDPE is reported, with a strong tendency for the former to agglomerate with little dispersion. Freeze-dried CNCs show better mixing with HDPE and a lower tendency to agglomerate than spray-dried CNCs. This approach shows the potential to use Raman spectroscopy to quantify the degree of mixing of CNCs in a thermoplastic matrix.
机译:拉曼成像与图像分析相结合已被用于量化熔融复合高密度聚乙烯(HDPE)中纤维素纳米晶体(CNC)的混合程度。拉曼光谱显示出可对形成的复合材料端部横截面的组成提供准确的“指纹”。然后将该信息转换为化学图像,从而可以对HDPE中的CNC混合进行空间量化。据报道,CNC和HDPE之间存在一定程度的混合程度,前者有很强的附聚性,且分散性很小。与喷雾干燥的CNC数控系统相比,冷冻干燥的CNC数控系统与HDPE的混合效果更好,并且结块的趋势更低。这种方法显示了使用拉曼光谱法量化CNC在热塑性基质中的混合程度的潜力。

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