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塑料的 MIR 光谱特征分析,以实现工业回收领域的鉴别:III. 预测老化对识别的影响。

MIR spectral characterization of plastic to enable discrimination in an industrial recycling context: III. Anticipating impacts of ageing on identification.

机构信息

Polymers Composites and Hybrids (PCH), IMT Mines Ales, Ales, France.

LMGC, IMT Mines Ales, Univ Montpellier, CNRS, Ales, France.

出版信息

Waste Manag. 2020 May 15;109:51-64. doi: 10.1016/j.wasman.2020.04.043. Epub 2020 May 6.

DOI:10.1016/j.wasman.2020.04.043
PMID:32388403
Abstract

Ageing of polymers entails important structural changes and degrades their functional properties, particularly their aspect. Since sorting is a primordial step in recycling to achieve acceptable mechanical properties, the use of promising technologies such as MIR-HSI (Mid-Infrared Hyperspectral Imagery), which could overcome black plastics sorting issue, has to take into account the influence of ageing on identification. As ageing strongly impacts spectra, it can create confusion between materials, especially in an automatized scheme. Based on laboratory FTIR-ATR (Fourier-Transform Infrared Attenuated Total Reflection), this work investigates spectral evolutions of natural and accelerated photodegradation of Waste of Electric and Electrical Equipment plastics (WEEE) as PE, PP, HIPS, ABS and PC to help identifying a polymer despite its ageing degree. Oxidation marks were described and retrieved within a stock of about one hundred of real waste samples, then differentiated from other sources of spectral alteration as formulation. Laboratory ageing data were found to be consistent and often more extreme than real waste samples values. Generally, styrenics showed stronger spectral alteration than polyolefins despite their respective aspects. No significant spectral alteration of PC was obtained here or observed in the waste stock. As an important oxidation marker, the carbonyl peak was also found to often enable fast identification through its wavenumber. If well taken in account, ageing should not induce confusion with other polymers, even formulated, as characteristic signals are different. Finally, the different industrial sub-ranges within MIR are not affected at the same degree, possibly influencing a technological choice for industrial sorting.

摘要

聚合物的老化会导致重要的结构变化,并降低其功能特性,特别是其外观。由于分类是回收的首要步骤,以实现可接受的机械性能,因此必须考虑到老化对识别的影响,使用有前途的技术,如 MIR-HSI(中红外高光谱成像),这可以克服黑色塑料分类问题。由于老化会强烈影响光谱,因此它可能会在材料之间造成混淆,特别是在自动化方案中。本工作基于实验室 FTIR-ATR(傅里叶变换衰减全反射红外光谱),研究了废弃电子电气设备塑料(WEEE)中 PE、PP、HIPS、ABS 和 PC 的自然和加速光降解的光谱演变,以帮助识别聚合物,尽管其老化程度不同。氧化标记在大约一百个实际废物样本的库存中进行了描述和检索,然后与其他光谱变化源如配方进行了区分。实验室老化数据与实际废物样本值一致,而且往往更极端。一般来说,尽管各自的外观不同,但苯乙烯类聚合物比聚烯烃类聚合物表现出更强的光谱变化。这里没有得到 PC 的显著光谱变化,也没有在废物库存中观察到。作为一个重要的氧化标记,羰基峰也经常通过其波数实现快速识别。如果考虑得很好,老化不应与其他聚合物(即使是配方)混淆,因为特征信号不同。最后,MIR 中的不同工业子范围受到的影响程度不同,这可能会影响工业分类的技术选择。

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