Becker Wolfgang, Sachsenheimer Kerstin, Klemenz Melanie
Fraunhofer Institut fuer Chemische Technologie (ICT), P.O. Box 12 40, 76327 Pfinztal, Germany.
Polymers (Basel). 2017 Sep 8;9(9):435. doi: 10.3390/polym9090435.
The identification of black polymers which contain about 0.5 to 3 mass percent soot or black master batch is still an essential problem in recycling sorting processes. Near infrared spectroscopy (NIRS) of non-black polymers offers a reliable and fast identification, and is therefore suitable for industrial application. NIRS is consequently widely used in polymer sorting plants. However, this method cannot be used for black polymers because small amounts of carbon black or soot absorb all light in the NIR spectral region. Spectroscopy in the mid infrared spectral region (MIR) offers a possibility to identify black polymers. MIR spectral measurements carried out with Fourier-transform infrared spectrometers (FTIR) are not fast enough to meet economic requirements in sorting plants. By contrast, spectrometer systems based on the photon up-conversion technique are fast and sensitive enough and can be applied to sort black polymer parts. Such a system is able to measure several thousand spectra per second hence is suitable for industrial applications. The results of spectral measurements of black polymers are presented.
在回收分类过程中，识别含有约0.5至3质量百分比烟灰或黑色母粒的黑色聚合物仍然是一个关键问题。非黑色聚合物的近红外光谱（NIRS）提供了可靠且快速的识别方法，因此适用于工业应用。NIRS因而在聚合物分选工厂中被广泛使用。然而，该方法不能用于黑色聚合物，因为少量的炭黑或烟灰会吸收近红外光谱区域中的所有光。中红外光谱区域（MIR）的光谱学提供了识别黑色聚合物的可能性。使用傅里叶变换红外光谱仪（FTIR）进行的中红外光谱测量速度不够快，无法满足分选工厂的经济需求。相比之下，基于光子上转换技术的光谱仪系统足够快速且灵敏，可用于分选黑色聚合物部件。这样的系统能够每秒测量数千个光谱，因此适用于工业应用。本文展示了黑色聚合物的光谱测量结果。
