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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Human Health Effects Marine & Wildlife Sign in to save

Microplastics characterization by hyperspectral imaging in the SWIR range

2019 33 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Silvia Serranti, Ludovica Fiore, Giuseppe Bonifazi, Ayaka Takeshima, Hisato Takeuchi, Shosaku Kashiwada

Summary

Researchers developed a hyperspectral imaging methodology operating in the short-wave infrared range (1000-2500 nm) combined with chemometric classification to rapidly identify polymer types in microplastic samples collected from marine environments. The non-destructive approach enabled polymer characterisation across samples from multiple geographical regions without requiring chemical pre-treatment.

The aim of this study is to develop a new methodology based on optical sensors able to recognize and characterize microplastics collected in the marine environment. In recent years, this pollution represents an environmental emergency with serious effects on human health and marine organisms. The study was carried out on microplastics collected in different geographical areas. Through the hyperspectral imaging (HSI) based approach, performed in the SWIR range (1000-2500 nm), a classification model based on chemometric techniques was implemented in order to identify in a rapid, non invasive and non-destructive way the polymers in the investigated samples.

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