Vista normal Vista MARC

Predicting soil microplastic concentration using vis-NIR spectroscopy

Corradini, Fabio [autor] | Bartholomeus, Harm [autor] | Huerta Lwanga, Esperanza [autora] | Gertsen, Hennie [autor] | Geissen Geissen, Violette [autora].
Tipo de material: Artículo
 en línea Artículo en línea Tipo de contenido: Texto Tipo de medio: Computadora Tipo de portador: Recurso en líneaTema(s): Microplásticos | Contaminación de suelosTema(s) en inglés: Microplastics | Soil pollutionNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso En: Science of the Total Environment. Volumen 650, part 1, (February 2019), páginas 922-932. --ISSN: 0048-9697Número de sistema: 59073Resumen:
Inglés

Microplastic accumulation in soil may have a detrimental impact on soil biota. The lack of standardized methods to identify and quantify microplastics in soils is an obstacle to research. Existing techniques are time-consuming and field data are seldom collected. To tackle the problem, we explored the possibilities of using a portable spectroradiometer working in the near infrared range (350-2500 nm) to rapidly assess microplastic concentrations in soils without extraction. Four sets of artificially polluted soil samples were prepared. Three sets had only one polymer polluting the soil (low-density polyethylene (LDPE), polyethylene terephthalate (PET), or polyvinyl chloride (PVC)). The fourth set contained random amounts of the three polymers (Mix). The concentrations of microplastics were regressed on the reflectance observed for each of the 2150 wavelengths registered by the instrument, using a Bayesian approach. For a measurement range between 1 and 100 g kg−¹, results showed a root-mean-squared-deviation (RMSD) of 8, 18, and 10 g kg−¹ for LDPE, PET, and PVC. The Mix treatment presented an RMSD of 8, 10, and 5 g kg−¹ for LDPE, PET, and PVC. The repeatability of the proposed method was 0.2-8.4, 0.1-5.1, and 0.1-9.0 g kg−¹ for LDPE, PET, and PVC, respectively. Overall, our results suggest that vis-NIR techniques are suitable to identify and quantify LDPE, PET, and PVC microplastics in soil samples, with a 10 g kg−¹ accuracy and a detection limit ≈ 15 g kg−¹. The method proposed is different than other approaches since it is faster because it avoids extraction steps and can directly quantify the amount of plastic in a sample. Nevertheless, it seems to be useful only for pollution hotspots.

Recurso en línea: https://www.sciencedirect.com/science/article/pii/S0048969718335435
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Estado Fecha de vencimiento Código de barras
Artículos Biblioteca Electrónica
Recursos en línea (RE)
ECOSUR Recurso digital ECO400590731639

Disponible para usuarios de ECOSUR con su clave de acceso

Microplastic accumulation in soil may have a detrimental impact on soil biota. The lack of standardized methods to identify and quantify microplastics in soils is an obstacle to research. Existing techniques are time-consuming and field data are seldom collected. To tackle the problem, we explored the possibilities of using a portable spectroradiometer working in the near infrared range (350-2500 nm) to rapidly assess microplastic concentrations in soils without extraction. Four sets of artificially polluted soil samples were prepared. Three sets had only one polymer polluting the soil (low-density polyethylene (LDPE), polyethylene terephthalate (PET), or polyvinyl chloride (PVC)). The fourth set contained random amounts of the three polymers (Mix). The concentrations of microplastics were regressed on the reflectance observed for each of the 2150 wavelengths registered by the instrument, using a Bayesian approach. For a measurement range between 1 and 100 g kg−¹, results showed a root-mean-squared-deviation (RMSD) of 8, 18, and 10 g kg−¹ for LDPE, PET, and PVC. The Mix treatment presented an RMSD of 8, 10, and 5 g kg−¹ for LDPE, PET, and PVC. The repeatability of the proposed method was 0.2-8.4, 0.1-5.1, and 0.1-9.0 g kg−¹ for LDPE, PET, and PVC, respectively. Overall, our results suggest that vis-NIR techniques are suitable to identify and quantify LDPE, PET, and PVC microplastics in soil samples, with a 10 g kg−¹ accuracy and a detection limit ≈ 15 g kg−¹. The method proposed is different than other approaches since it is faster because it avoids extraction steps and can directly quantify the amount of plastic in a sample. Nevertheless, it seems to be useful only for pollution hotspots. eng

Con tecnología Koha