2021
DOI: 10.31025/2611-4135/2021.14086
|View full text |Cite
|
Sign up to set email alerts
|

Detecting Contaminants in Post-Consumer Plastic Packaging Waste by a Nir Hyperspectral Imaging-Based Cascade Detection Approach

Abstract: Recycling of post-consumer packaging wastes involves a complex chain of activities, usually based on three main stages, that is: i) collection from households or recovery from Municipal solid waste (MSW), ii) sorting and, finally, iii) mechanical recycling. The systematic identification of impurities inside plastic packaging waste streams, and the assessment of the different occurring materials, can be considered as one of the key issues to certify and to classify waste materials fed to recycling plants and to… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(9 citation statements)
references
References 24 publications
0
9
0
Order By: Relevance
“…The effectiveness of HSI for solid waste classification has been verified in prior research. 17,18 However, to the best of our knowledge, no study has investigated the potential HSI combined with ensemble ML algorithms to quantitatively detect the carbon groups and contents of solid waste. This is the first study to build chemical maps to show the distribution of these constituents in a straightforward and simple manner, which confirms the acceptable accuracy.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…The effectiveness of HSI for solid waste classification has been verified in prior research. 17,18 However, to the best of our knowledge, no study has investigated the potential HSI combined with ensemble ML algorithms to quantitatively detect the carbon groups and contents of solid waste. This is the first study to build chemical maps to show the distribution of these constituents in a straightforward and simple manner, which confirms the acceptable accuracy.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…16,17 For instance, recent studies classified construction wastes (bricks, concretes, woods, plastics, and rubbers) for sorting and recycling 17 and identified impurities (paper and carboard) from plastic packaging waste streams. 18 However, HSI-aided classification technology is not yet fully developed. The spectral features of a huge variety of solid waste samples in the NIR range are not well characterized.…”
Section: ■ Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, c and C cannot be routinely measured today. With the development of combined optical measurements of the composition and size of individual particles and machine learning techniques, also this approach considering the of mass fraction of particles of interest could be feasible in the future (Bonifazi et al, 2021;Kroell et al, 2021).…”
Section: Requirement Ii: Minimum Numbers Of Particles "Rare In Size" ...mentioning
confidence: 99%
“…Within this study, the suitability of the existing sorting infrastructure for the processing of bioplastic waste was assessed. For this purpose, NIR sorting technology, which is a widely used plastic sorting technology material (Bonifazi et al, 2021;Helena Wedin et al, 2017;Zhu et al, 2019), was used to check the sortability of bioplastics.…”
Section: Introductionmentioning
confidence: 99%