Real-time detection of flame-retardant additives in polymers and polymer blends with NIR imaging spectroscopy

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The detection of flame retardants is critical for the recycling of polymers. To investigate the possibility of reliable purefraction sorting, a sample set containing a wide range of relevant polymers and polymer blends containing various practically relevant flame-retardant additives was produced and investigated. NIR point spectra were acquired with an FTIR laboratory spectrometer and hyper-spectral NIR images were obtained using a spectrograph-based hyper-spectral imaging system. The laboratory spectrometer measurements were used to assign spectral features to the corresponding chemical compounds and derive a chemometric model that can be used to detect flame-retardant additives. The hyperspectral NIR images were used to adapt the chemometric model to the spectral features present in the hyper-spectral image data for the real-time detection.

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