VTT Technical Research Centre of Finland Ltd., Oulu, Finland.
VTT Technical Research Centre of Finland Ltd., Tampere, Finland.
Waste Manag Res. 2022 Oct;40(10):1546-1554. doi: 10.1177/0734242X221084053. Epub 2022 Mar 25.
The use of plastics is rapidly rising around the world causing a major challenge for recycling. Lately, a lot of emphasis has been put on recycling of packaging plastics, but, in addition, there are high volume domains with low recycling rate such as automotive, building and construction, and electric and electronic equipment. Waste plastics from these domains often contain additives that restrict their recycling due to the hazardousness and challenges they bring to chemical and mechanical recycling. As such, the first step for enabling the reuse of these fractions is the identification of these additives in the waste plastics. This study compares the ability of different optical spectroscopy technologies to detect two different plastic additives, fire retardants ammonium polyphosphate and aluminium trihydrate, inside polypropylene plastic matrix. The detection techniques near-infrared (NIR), Fourier-transform infrared (FTIR) and Raman spectroscopy as well as hyperspectral imaging (HSI) in the short-wavelength infrared (SWIR) and mid-wavelength infrared (MWIR) range were evaluated. The results indicate that Raman, NIR and SWIR HSI have the potential to detect these additives inside the plastic matrix even at relatively low concentrations. As such, utilising these methods has the possibility to facilitate sorting and recycling of as of yet unused plastic waste streams, although more research is needed in applying them in actual waste sorting facilities.
世界各地对塑料的使用量迅速增加,这给回收带来了重大挑战。最近,人们非常重视包装塑料的回收,但除此之外,还有一些高体积但回收利用率低的领域,如汽车、建筑和建筑、以及电子和电气设备。这些领域的废塑料通常含有添加剂,由于其危害性和对化学和机械回收带来的挑战,限制了它们的回收。因此,使这些废塑料能够再利用的第一步是识别废塑料中的这些添加剂。本研究比较了不同光学光谱技术在检测聚丙烯塑料基体中两种不同塑料添加剂(阻燃剂聚磷酸铵和三水合氧化铝)的能力。评估了近红外(NIR)、傅里叶变换红外(FTIR)和拉曼光谱以及短波长红外(SWIR)和中波长红外(MWIR)范围内的高光谱成像(HSI)检测技术。结果表明,即使在相对较低的浓度下,拉曼、NIR 和 SWIR HSI 也有可能检测到这些添加剂在塑料基体中的存在。因此,这些方法有可能促进尚未使用的塑料废料的分类和回收,尽管在实际的废料分类设施中应用这些方法还需要进一步研究。