| Title | Fast and effective classification of plastic waste by pushbroom hyperspectral sensor coupled with hierarchical modelling and variable selection |
|---|---|
| ID_Doc | 26943 |
| Authors | Bonifazi, G; Capobianco, G; Serranti, S |
| Title | Fast and effective classification of plastic waste by pushbroom hyperspectral sensor coupled with hierarchical modelling and variable selection |
| Year | 2023 |
| Published | |
| Abstract | Plastic waste management represents a global challenge in the framework of sustainable production and con-sumption of resources. One of the most critical issues in plastic recycling is polymer separation, necessary to obtain high-quality secondary raw material flow streams. The aim of this work was to build a classification strategy, based on pushbroom hyperspectral imaging, able to recognize the most common polymers found in mixed plastic waste to be applied at recycling plant scale. After exploring polymer spectral differences by principal component analysis, a hierarchical partial least squares-discriminant analysis, based on the acquired full spectra, and a hierarchical interval partial least squares-discriminant analysis, based on selected variables, were tested and their performances were evaluated and compared. High quality classification results were ob-tained in both cases, demonstrating that the developed multi-class models can be utilized in a flexible way for quality control and/or for on-line sorting actions in recycling plants. |
| https://doi.org/10.1016/j.resconrec.2023.107068 |
Similar Articles
| ID | Score | Article |
|---|---|---|
20892
|
Cucuzza, P; Serranti, S; Capobianco, G; Bonifazi, G Multi-level color classification of post-consumer plastic packaging flakes by hyperspectral imaging for optimizing the recycling process(2023) | |
| 23739
|
Alexakis, G; Maniadakis, M Hyperspectral Classification of Recyclable Plastics in Industrial Setups(2023) | |
| 6218
|
Cucuzza, P; Serranti, S; Bonifazi, G; Capobianco, G Effective Recycling Solutions for the Production of High-Quality PET Flakes Based on Hyperspectral Imaging and Variable Selection(2021)Journal Of Imaging, 7, 9 | |
| 7050
|
Serranti, S Plastic waste monitoring and recycling by hyperspectral imaging technology(2019) | |
| 27147
|
Serranti, S; Cucuzza, P; Bonifazi, G Hyperspectral imaging for VIS-SWIR classification of post-consumer plastic packaging products by polymer and color(2020) | |
| 26745
|
Bonifazi, G; Fiore, L; Gasbarrone, R; Palmieri, R; Serranti, S Hyperspectral Imaging Applied to WEEE Plastic Recycling: A Methodological Approach(2023)Sustainability, 15, 14 | |
| 26662
|
Bonifazi, G; Capobianco, G; Cucuzza, P; Serranti, S; Spizzichino, V Black Plastic Waste Classification by Laser-Induced Fluorescence Technique Combined with Machine Learning Approaches(2024)Waste And Biomass Valorization, 15, 3 | |
| 29766
|
Maliks, R; Kadikis, R Multispectral data classification with deep CNN for plastic bottle sorting(2021) | |
| 26706
|
Marchesi, C; Rani, M; Federici, S; Lancini, M; Depero, LE Evaluating chemometric strategies and machine learning approaches for a miniaturized near-infrared spectrometer in plastic waste classification(2023)Acta Imeko, 12, 2 | |
| 22704
|
Rani, M; Marchesi, C; Federici, S; Rovelli, G; Alessandri, I; Vassalini, I; Ducoli, S; Borgese, L; Zacco, A; Bilo, F; Bontempi, E; Depero, LE Miniaturized Near-Infrared (MicroNIR) Spectrometer in Plastic Waste Sorting(2019)Materials, 12.0, 17 |