Hyperspectral Imaging as a Potential Online Detection Method of Microplastics

Microplastic pollution in aquatic environment has raised concern and as a result a number of studies have recently been published to find solutions for its rapid increase. Different methods have been proposed for microplastic identification. Spectral imaging shows a lot of promise for polymer identi...

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Bibliographic Details
Published in:Bulletin of environmental contamination and toxicology 2021-10, Vol.107 (4), p.754-763
Main Authors: Huang, Hui, Qureshi, Junaid Ullah, Liu, Shuchang, Sun, Zehao, Zhang, Chunfang, Wang, Hangzhou
Format: Article
Language:English
Subjects:
Algorithms
Aquatic environment
Aquatic Pollution
Classification
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Focused Review
Hyperspectral imaging
Microplastics
Plastic debris
Plastic pollution
Pollution
Pollution detection
Polymers
Soil Science & Conservation
Waste Water Technology
Water Management
Water Pollution Control
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Summary:Microplastic pollution in aquatic environment has raised concern and as a result a number of studies have recently been published to find solutions for its rapid increase. Different methods have been proposed for microplastic identification. Spectral imaging shows a lot of promise for polymer identification; however, the identification time needs to be improved. Hyperspectral imaging (HSI) combined with chemometric analysis can reduce the identification times. In this study, we provide a review of recent studies related to polymer identification using HSI with a focus on the adopted classification algorithm and its factors for the online implementation of HSI. Furthermore, we review the limit of detection by HSI and the effect of particle size on classification accuracy. Additionally, performance of this method for various types of samples is also discussed. We conclude that HSI is possible to be a fast alternative for online microplastic detection.
ISSN:0007-4861
1432-0800
DOI:10.1007/s00128-020-02902-0