Literature DB >> 35379528

Influence of reflective materials, emitter intensity and foil thickness on the variability of near-infrared spectra of 2D plastic packaging materials.

G Koinig1, K Friedrich1, B Rutrecht1, G Oreski2, C Barretta2, D Vollprecht1.   

Abstract

Most two-dimensional plastic packaging materials are thermally recovered, which does not add to the recycling quota of 50 % required by EU legislation for all lightweight packaging until 2025. Furthermore, the separation processes for 2D materials cannot reach the same level of accuracy, which is possible in the sorting of rigid plastic packaging. This study proposes new adaptations to existing sorting aggregates to increase the near-infrared spectral quality of two-dimensional materials. It aims to improve the spectral quality, which was defined by the deviation of the spectra from a reference spectrum and the variability of the recorded spectra, which can be achieved by installing reflectors behind the material made up of copper or aluminium. This setup enables detection in transflection rather than reflection mode. The variability could be reduced by a factor of 6 through the use of a reflective background. Meanwhile, the spectral fidelity to the reference spectrum could be enhanced, in some cases decreasing the deviation from the reference spectrum by 30 %, which means enhancing a spectrum from unrecognisable to useable. Apart from using reflective materials, the effects of emitter intensity, material and thickness were evaluated.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  2D plastic packaging; Background material; Near-infrared; Sensor-based sorting; Transflection

Mesh:

Substances:

Year:  2022        PMID: 35379528     DOI: 10.1016/j.wasman.2021.12.019

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Evaluation of Improvements in the Separation of Monolayer and Multilayer Films via Measurements in Transflection and Application of Machine Learning Approaches.

Authors:  Gerald Koinig; Nikolai Kuhn; Chiara Barretta; Karl Friedrich; Daniel Vollprecht
Journal:  Polymers (Basel)       Date:  2022-09-20       Impact factor: 4.967

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.