This paper reported a study based on the application of SWIR (shortwave infrared) spectroscopy to assess the presence of brominated flame retardants (BFRs) in plastic scraps coming from an e-waste stream composed by CRT (i.e., cathode-ray tube) monitors and televisions. An X-ray fluorescence (XRF) analysis was performed on plastic scraps to determine the presence and content of bromine (Br). The presence in plastic waste-flow streams, fed to or resulting from a recycling process, of individuals characterized by high concentrations of Br does not allow their use as secondary raw materials, imposing the need for an ad hoc separation processes. Chemometric methods were adopted for setting up models able to discriminate Br content. In more detail, principal component analysis (PCA) was used as an exploratory tool, while partial least squares (PLS) and locally weighted regression based on PLS regressions (LWRPLS) were used as multivariate regression models to test the ability of the spectra to predict Br content. The LWRPLS, showing an Rp2 of about 0.9, demonstrates the ability of this algorithm to establish a good correlation between the spectral signatures of plastic scraps and their Br content.

An investigation on bromine content assessment in e-Waste Plastics by Short Wave Infrared (SWIR) spectroscopy / Bonifazi, Giuseppe; Fiore, Ludovica; Gasbarrone, Riccardo; Hennebert, Pierre; Serranti, Silvia. - In: ENVIRONMENTS. - ISSN 2076-3298. - 9:12(2022). [10.3390/environments9120152]

An investigation on bromine content assessment in e-Waste Plastics by Short Wave Infrared (SWIR) spectroscopy

Bonifazi, Giuseppe
;
Fiore, Ludovica;Gasbarrone, Riccardo;Serranti, Silvia
2022

Abstract

This paper reported a study based on the application of SWIR (shortwave infrared) spectroscopy to assess the presence of brominated flame retardants (BFRs) in plastic scraps coming from an e-waste stream composed by CRT (i.e., cathode-ray tube) monitors and televisions. An X-ray fluorescence (XRF) analysis was performed on plastic scraps to determine the presence and content of bromine (Br). The presence in plastic waste-flow streams, fed to or resulting from a recycling process, of individuals characterized by high concentrations of Br does not allow their use as secondary raw materials, imposing the need for an ad hoc separation processes. Chemometric methods were adopted for setting up models able to discriminate Br content. In more detail, principal component analysis (PCA) was used as an exploratory tool, while partial least squares (PLS) and locally weighted regression based on PLS regressions (LWRPLS) were used as multivariate regression models to test the ability of the spectra to predict Br content. The LWRPLS, showing an Rp2 of about 0.9, demonstrates the ability of this algorithm to establish a good correlation between the spectral signatures of plastic scraps and their Br content.
2022
bromine; multivariate regression; waste of electrical and electronic equipment (WEEE); plastics
01 Pubblicazione su rivista::01a Articolo in rivista
An investigation on bromine content assessment in e-Waste Plastics by Short Wave Infrared (SWIR) spectroscopy / Bonifazi, Giuseppe; Fiore, Ludovica; Gasbarrone, Riccardo; Hennebert, Pierre; Serranti, Silvia. - In: ENVIRONMENTS. - ISSN 2076-3298. - 9:12(2022). [10.3390/environments9120152]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1662002
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