A comprehensive and fast microplastics identification based on near-infrared hyperspectral imaging (HSI-NIR) and chemometrics

A comprehensive and fast microplastics identification based on near-infrared hyperspectral imaging (HSI-NIR) and chemometrics

Microplastic pollution is a global concern theme, and there is still the need for less laborious and faster analytical methods aiming at microplastics detection. This article describes a high throughput screening method based on near-infrared hyperspectral imaging (HSI-NIR) to identify microplastics...

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Veröffentlicht in:Environmental pollution (1987) 2021-09, Vol.285, p.117251-117251, Article 117251
Hauptverfasser: Vidal, Cristiane, Pasquini, Celio
Format: Artikel
Sprache:eng
Schlagworte:
Machine learning
Marine debris
Microplastic
Near-infrared hyperspectral imaging
SWIR hyperspectral imaging
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Zusammenfassung:Microplastic pollution is a global concern theme, and there is still the need for less laborious and faster analytical methods aiming at microplastics detection. This article describes a high throughput screening method based on near-infrared hyperspectral imaging (HSI-NIR) to identify microplastics in beach sand automatically with minimum sample preparation. The method operates directly in the entire sample or on its retained fraction (150 μm–5 mm) after sieving. Small colorless microplastics (
ISSN:0269-7491
1873-6424
DOI:10.1016/j.envpol.2021.117251