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Comparison of ATR-FTIR and NIR spectroscopy for identification of microplastics in biosolids.
Circelli, Luana; Cheng, Zhongqi; Garwood, Evan; Yuksel, Kerem; Di Iorio, Erika; Angelico, Ruggero; Colombo, Claudio.
Afiliação
  • Circelli L; Department of Agricultural, Environmental and Food Sciences, University of Molise, Campobasso, Italy; Department of Earth and Environmental Sciences, Brooklyn College of the City University of New York, Brooklyn, NY, USA. Electronic address: luana.circelli@gmail.com.
  • Cheng Z; Department of Earth and Environmental Sciences, Brooklyn College of the City University of New York, Brooklyn, NY, USA; Graduate Center and Advanced Science Research Center of the City University of New York, New York, NY, USA.
  • Garwood E; Department of Earth and Environmental Sciences, Brooklyn College of the City University of New York, Brooklyn, NY, USA.
  • Yuksel K; Department of Earth and Environmental Sciences, Brooklyn College of the City University of New York, Brooklyn, NY, USA.
  • Di Iorio E; Department of Agricultural, Environmental and Food Sciences, University of Molise, Campobasso, Italy.
  • Angelico R; Department of Agricultural, Environmental and Food Sciences, University of Molise, Campobasso, Italy.
  • Colombo C; Department of Agricultural, Environmental and Food Sciences, University of Molise, Campobasso, Italy.
Sci Total Environ ; 916: 170215, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38262536
ABSTRACT
Biosolids are considered a potentially major input of microplastics (MPs) to agricultural soils. Our study aims to identify the polymeric origin of MPs extracted from biosolid samples by comparing their Attenuated Total Reflection (ATR) - Fourier-transform infrared (FTIR) spectra with the corresponding near-infrared (NIR) spectra. The reflectance spectra were preprocessed by Savitzky-Golay (SG), first derivative (FD) and compared with analogous spectra acquired on a set of fifty-two selected commercial plastic (SCP) materials collected from readily available products. According to the results portrayed in radar chart and built from both ATR-FTIR and NIR spectral datasets, the MPs showed high correlations with polymers such as polyethylene (LDPE, HDPE), polyethylene terephthalate (PET), polystyrene (PS), polypropylene (PP) and polyamide (PA), determined in SCP samples. Each unknown MP sample had on average three or more links to several types of SCP, according to the correlation coefficients for each polymer ranging from 0.7 up to 1. The comparison analysis classified the majority of MPs as composed mainly by LDPE/HDPE, according to the top correlation coefficients (r > 0.90). PP and PET were better identified with NIR than ATR-FTIR. In contrast to ATR-FTIR analysis, NIR was unable to identify PS. Based on these results, the primary sources of MPs in the biosolids could be identified as discarded consumer packaging (containers, bags, bottles) and fibers from laundry, disposable glove, and cleaning cloth. SYNOPSIS Microplastics (MPs) are considered contaminants of emerging concern. This study compares two simple and fast spectroscopy techniques to identify microplastics in the biosolid matrix.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Microplásticos Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Microplásticos Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article País de publicação: Holanda