Mismanagement of plastic waste globally has resulted in a multitude of environmental
issues, which could be tackled by boosting plastic recycling rates. Chemometrics has …

Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …

Shrink sleeves interfere with the mechanical recycling of plastic bottles because of their poor
sortability during near-infrared (NIR)-based sorting. This study aims to identify reasons for …

Mass-based material flow compositions (MFCOs) are crucial to assess and optimize
mechanical plastic recycling processes. While MFCOs are determined by manual sorting …

Sensor-based material flow characterization (SBMC) promises to improve the performance
of future-generation sorting plants by enabling new applications like automatic quality …

Recycling and utilization of plastic waste are receiving more and more attention, and the
combination of spectroscopic techniques and machine learning is expected to solve the …

Increasing plastic recycling rates is key to addressing plastic pollution. New technologies
such as chemometric analysis of spectral data have shown great promises in improving the …

Sensor-based sorting describes a family of systems that enable the removal of individual
objects from a material stream. The technology is widely used in various industries such as …

Determining mass-based material flow compositions (MFCOs) is crucial for assessing and
optimizing the recycling of post-consumer plastics. Currently, MFCOs in plastic recycling are …

The fast and accurate identification of MPs in environmental samples is essential for the
understanding of the fate and transport of MPs in ecosystems. The recognition of MPs in …