Determining the composition of post-consumer flexible multilayer plastic packaging with near-infrared spectroscopy.

Classification Multilayer plastic packaging Near-infrared spectroscopy Plastic recycling Post-consumer Sorting

Journal

Waste management (New York, N.Y.)
ISSN: 1879-2456
Titre abrégé: Waste Manag
Pays: United States
ID NLM: 9884362

Informations de publication

Date de publication:
15 Mar 2021
Historique:
received: 06 10 2020
revised: 29 12 2020
accepted: 10 01 2021
pubmed: 9 2 2021
medline: 26 2 2021
entrez: 8 2 2021
Statut: ppublish

Résumé

Flexible multilayer plastic packaging (MPP) has grown in popularity in the last years especially in food and medical sectors, and its share in the packaging industry is expected to increase further. Compared to traditional packaging with same functionalities, MPP is characterized by lower energy consumption in production and a reduced packaging weight. So far, the recycling of post-industrial MPP with specific material composition has been achieved by several companies. To our knowledge, all existing MPP recycling processes require a known material combination. In contrast to post-industrial MPP, post-consumer MPP still ends up in incinerators or as low-quality products, mainly because of the lacking ability to sort. This study investigates the detectability of post-consumer MPP with near-infrared spectroscopy, the state-of-the-art technology for sensor-based waste sorting. Firstly, MPP classification with near-infrared spectroscopy was analyzed with clean samples. Subsequently, the effect of waste collection and preprocessing in sorting plants on MPP classification was investigated. For this purpose, clean samples were covered with water and oil and mixed with lightweight packaging waste in a drum sieve. The results show it is possible to classify post-consumer MPP based on near-infrared spectra according to different sorting strategies. For the existing recycling processes which are suitable for post-consumer MPP, the corresponding object-based classification accuracy was found to exceed 96%.

Identifiants

pubmed: 33556715
pii: S0956-053X(21)00020-9
doi: 10.1016/j.wasman.2021.01.015
pii:
doi:

Substances chimiques

Plastics 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

33-41

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Xiaozheng Chen (X)

Department of Anthropogenic Material Cycles, RWTH Aachen University, Wuellnerstr. 2, 52062 Aachen, Germany. Electronic address: xiaozheng.chen@ants.rwth-aachen.de.

Nils Kroell (N)

Department of Anthropogenic Material Cycles, RWTH Aachen University, Wuellnerstr. 2, 52062 Aachen, Germany.

Jan Wickel (J)

Department of Anthropogenic Material Cycles, RWTH Aachen University, Wuellnerstr. 2, 52062 Aachen, Germany.

Alexander Feil (A)

Department of Anthropogenic Material Cycles, RWTH Aachen University, Wuellnerstr. 2, 52062 Aachen, Germany.

Articles similaires

Humans Female Prefrontal Cortex Male Spectroscopy, Near-Infrared
Nitriles Tensile Strength Materials Testing Gloves, Protective Product Packaging
Rivers India Environmental Monitoring Microplastics Water Pollutants, Chemical
Humans Male Female Spectroscopy, Near-Infrared Esthetics

Classifications MeSH