Literature DB >> 29519600

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

Silvia Serranti1, Roberta Palmieri2, Giuseppe Bonifazi2, Andrés Cózar3.   

Abstract

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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Characterization; Environmental monitoring; Hyperspectral imaging; Marine microplastics; Plastic identification

Mesh:

Substances:

Year:  2018        PMID: 29519600     DOI: 10.1016/j.wasman.2018.03.003

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  5 in total

1.  Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging.

Authors:  Ludovica Fiore; Silvia Serranti; Cristina Mazziotti; Elena Riccardi; Margherita Benzi; Giuseppe Bonifazi
Journal:  Environ Sci Pollut Res Int       Date:  2022-02-23       Impact factor: 5.190

2.  Optimization of a hyperspectral imaging system for rapid detection of microplastics down to 100 µm.

Authors:  Chunmao Zhu; Yugo Kanaya; Masashi Tsuchiya; Ryota Nakajima; Hidetaka Nomaki; Tomo Kitahashi; Katsunori Fujikura
Journal:  MethodsX       Date:  2020-12-08

3.  Computer-Assisted Analysis of Microplastics in Environmental Samples Based on μFTIR Imaging in Combination with Machine Learning.

Authors:  Benedikt Hufnagl; Michael Stibi; Heghnar Martirosyan; Ursula Wilczek; Julia N Möller; Martin G J Löder; Christian Laforsch; Hans Lohninger
Journal:  Environ Sci Technol Lett       Date:  2021-12-09

Review 4.  Current Prospects for Plastic Waste Treatment.

Authors:  Damayanti Damayanti; Desi Riana Saputri; David Septian Sumanto Marpaung; Fauzi Yusupandi; Andri Sanjaya; Yusril Mahendra Simbolon; Wulan Asmarani; Maria Ulfa; Ho-Shing Wu
Journal:  Polymers (Basel)       Date:  2022-07-31       Impact factor: 4.967

5.  Field-Portable Microplastic Sensing in Aqueous Environments: A Perspective on Emerging Techniques.

Authors:  Morgan G Blevins; Harry L Allen; Beckett C Colson; Anna-Marie Cook; Alexandra Z Greenbaum; Sheila S Hemami; Joseph Hollmann; Ernest Kim; Ava A LaRocca; Kenneth A Markoski; Peter Miraglia; Vienna L Mott; William M Robberson; Jose A Santos; Melissa M Sprachman; Patricia Swierk; Steven Tate; Mark F Witinski; Louis B Kratchman; Anna P M Michel
Journal:  Sensors (Basel)       Date:  2021-05-19       Impact factor: 3.576

  5 in total

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