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Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging

Waste Management 2018 194 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Silvia Serranti, Silvia Serranti, Giuseppe Bonifazi, Roberta Palmieri, Roberta Palmieri, Silvia Serranti, Silvia Serranti, Andrés Cózar Andrés Cózar Andrés Cózar Giuseppe Bonifazi, Silvia Serranti, Silvia Serranti, Giuseppe Bonifazi, Giuseppe Bonifazi, Giuseppe Bonifazi, Andrés Cózar Silvia Serranti, Silvia Serranti, Silvia Serranti, Giuseppe Bonifazi, Silvia Serranti, Giuseppe Bonifazi, Andrés Cózar Silvia Serranti, Roberta Palmieri, Roberta Palmieri, Giuseppe Bonifazi, Andrés Cózar Giuseppe Bonifazi, Silvia Serranti, Silvia Serranti, Andrés Cózar Giuseppe Bonifazi, Giuseppe Bonifazi, Andrés Cózar Andrés Cózar Roberta Palmieri, Silvia Serranti, Andrés Cózar Silvia Serranti, Giuseppe Bonifazi, Silvia Serranti, Silvia Serranti, Andrés Cózar Andrés Cózar Giuseppe Bonifazi, Giuseppe Bonifazi, Roberta Palmieri, Andrés Cózar Andrés Cózar Silvia Serranti, Silvia Serranti, Andrés Cózar Silvia Serranti, Giuseppe Bonifazi, Giuseppe Bonifazi, Andrés Cózar Andrés Cózar Andrés Cózar Andrés Cózar Andrés Cózar Giuseppe Bonifazi, Giuseppe Bonifazi, Giuseppe Bonifazi, Andrés Cózar Silvia Serranti, Silvia Serranti, Andrés Cózar Andrés Cózar Andrés Cózar Giuseppe Bonifazi, Giuseppe Bonifazi, Andrés Cózar

Summary

Hyperspectral imaging was developed as an innovative method for characterizing marine microplastic litter collected from diverse ocean regions including the Arctic and Mediterranean, enabling rapid spectral mapping of polymer composition across samples. The approach offers a high-throughput alternative to conventional spectroscopic methods for analyzing large numbers of environmental microplastic samples.

An innovative approach, based on HyperSpectral Imaging (HSI), was developed in order to set up an efficient method to analyze marine microplastic litter. HSI was applied to samples collected by surface-trawling plankton nets from several parts of the world (i.e. Arctic, Mediterranean, South Atlantic and North Pacific). Reliable information on abundance, size, shape and polymer type for the whole ensemble of plastic particles in each sample was retrieved from single hyperspectral images. The simultaneous characterization of the polymeric composition of the plastic debris represents an important analytical advantage considering that this information, and even the validation of the plastic nature of the small debris, is a common flaw in the analysis of marine microplastic pollution. HSI was revealed as a rapid, non-invasive, non-destructive and reliable technology for the characterization of the microplastic waste, opening a promising way for improving the plastic pollution monitoring.

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