PVDC多层分选挑战:光谱学研究及现场应用

Stefano Radice , Domenico Ferrari , Stefano Millefanti , Marco Gregori
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引用次数: 0

摘要

目前,有效应用塑料循环经济和整体能源和原材料回收的主要挑战之一是进行选择性分类的能力。分选过程是获得废物均质通量的第一步,也是重要的一步,可作为原料回收、油基材料生产或能源生产的原料。有许多活动可以解决在一般废物流中分类复杂物体的挑战;在这项研究中,我们使用了振动光谱和最新的近红外技术来证明含有PVDC层的多层样品的分选性。近红外光谱结果在红外光谱和拉曼光谱观测到的基本正态模式中找到了科学的基线,并进行了相关的讨论和分配。分选测试的现场成功为旨在实现可持续和经济上可行的聚合物生产方法的技术进步开辟了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PVDC multilayer sorting challenge: A spectroscopy study and on field application
Nowadays one of the main challenge in the effective application of a plastic circular economy and overall energy and raw material recovery is the capability of doing selective sorting. The sorting process is the first and important step to obtain homogeneous fluxes of waste materials, which can be utilized as feedstock for raw material recovery, oil based material generation or for energy production. There are many activities for solving the challenges of sorting complex objects in a general waste stream; in this study we used Vibrational Spectroscopy and the most recent NIR technologies to demonstrate the sortability of multilayered samples containing PVDC layers. The NIR results find scientific baseline in the fundamental normal modes observed in IR and Raman spectroscopy and the relative discussion and assignments. The on field success of the sorting tests open the way for advancement in the technologies aimed at achieving a sustainable and economically viable approach to polymer production.
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