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Evaluation of time-gated fluorescence spectroscopy for the classification of fluorescently labeled plastics

机译:时间选通荧光光谱法对荧光标记塑料分类的评估

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The automated recycling of plastics becomes increasingly attractive from both the economical and environmental point of view. Yet in applications where plastic parts with high quality are required, recycled plastic materials cannot be employed at present because waste plastics of different kind are usually mixed during the recycling process. In order to produce the necessary mono-fractional compositions of waste plastics, a highly reliable sorting method before recycling is of paramount importance. We have been investigating the promising approach of labeling virgin plastics with specifically designed fluorescent tracers (“markers”) in earlier studies [1]-[3]. Despite all the advantages of this approach compared to other techniques, the overlap of the tracers' fluorescence with the intrinsic autofluorescence plastic polymers might show is quite challenging in terms of a highly reliable classification. In this study we compare steady-state spectroscopy so far implemented in our sorting system prototype with time-gated fluorescence spectroscopy based upon their classification performances. As it turns out, the steady-state approach delivers acceptable performance only at rather high signal-to-noise ratios (S/N) when pronounced autofluorescence is present. Such S/N levels might be hard to achieve in practice. The time-gated approach on the other hand can completely eliminate the intrinsic autofluorescence from the measured spectra at the cost of moderately decreasing the signal-to-noise ratio. As long as these S/N values are larger than about +10 dB, ideal classification results of F-score = 100% can be achieved in practice for the application at hand.
机译:从经济和环境的角度来看,塑料的自动回收变得越来越有吸引力。然而,在需要高质量塑料零件的应用中,由于在回收过程中通常会混合使用不同种类的废塑料,因此目前无法使用回收的塑料。为了生产废塑料的必要的单分数组成,在回收之前的高度可靠的分拣方法至关重要。在较早的研究中,我们一直在研究使用专门设计的荧光示踪剂(“标记”)标记纯净塑料的有前途的方法[1]-[3]。尽管与其他技术相比,该方法具有所有优势,但从高度可靠的分类角度看,示踪剂的荧光与固有的自发荧光塑料聚合物的重叠可能显示出很大的挑战。在这项研究中,我们将到目前为止在我们的分拣系统原型中实现的稳态光谱与基于时间选通荧光光谱的分类性能进行了比较。事实证明,当存在明显的自发荧光时,稳态方法仅在相当高的信噪比(S / N)下才能提供可接受的性能。这样的信噪比水平在实践中可能很难达到。另一方面,时间门控方法可以以适当降低信噪比为代价,从测量的光谱中完全消除固有的自发荧光。只要这些S / N值大于+10 dB,就可以在实际应用中实现F分数= 100%的理想分类结果。

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