Application of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples

The tremendous increase of plastic production, its intensive usage in packaging, as transport material, and the insufficient management of plastic garbage have led to a rise in microplastic particles as an anthropogenic contaminant in our environment. To develop appropriate management and remediatio...

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Autores principales: Olga Konechnaya, Christina Schwanen, Jan Schwarzbauer
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
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spelling oai:doaj.org-article:dd3c6887043049ecaf8da19cd39aff392021-11-06T10:42:53ZApplication of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples0273-12231996-973210.2166/wst.2020.600https://doaj.org/article/dd3c6887043049ecaf8da19cd39aff392021-02-01T00:00:00Zhttp://wst.iwaponline.com/content/83/3/532https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732The tremendous increase of plastic production, its intensive usage in packaging, as transport material, and the insufficient management of plastic garbage have led to a rise in microplastic particles as an anthropogenic contaminant in our environment. To develop appropriate management and remediation strategies for this global pollution problem, reliable and consistent analytical procedures for measuring plastics in the complex matrices need to be designed. The applicability of an easy, robust and fast multi-step approach was tested on three sediment samples from riverine, beach and backwater areas of varying origin, grain size and organic matter content, and is reported here. The optimized method included grain size fractionation, density separation and μ-FTIR analyses. Identification was based on two complementary methods of μ -FTIR measurements, the Image mode for small microplastics (<1 mm) and the ATR method for bigger (1–5 mm) particles. The analyses revealed the identification of several polymers in various grain sizes at different pollution levels. Major findings are the dominance of PET particles and the highest frequency of microplastic particles in the midsize fraction of 100–500 μm. Generally, the method was able to reliably detect microplastic particles in several grain size fractions and down to very low contamination levels of approximately. ten particles per 50 g of sediments with different organic matter content and various grain size characteristics. Moreover, the presented multi-step approach represents a fast, easy and less cost-effective method as an alternative to more expensive and time-consuming methods.Olga KonechnayaChristina SchwanenJan SchwarzbauerIWA Publishingarticleenvironmental samplesft-ir spectroscopyidentificationmicroplasticsmulti-step approachEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 83, Iss 3, Pp 532-542 (2021)
institution DOAJ
collection DOAJ
language EN
topic environmental samples
ft-ir spectroscopy
identification
microplastics
multi-step approach
Environmental technology. Sanitary engineering
TD1-1066
spellingShingle environmental samples
ft-ir spectroscopy
identification
microplastics
multi-step approach
Environmental technology. Sanitary engineering
TD1-1066
Olga Konechnaya
Christina Schwanen
Jan Schwarzbauer
Application of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples
description The tremendous increase of plastic production, its intensive usage in packaging, as transport material, and the insufficient management of plastic garbage have led to a rise in microplastic particles as an anthropogenic contaminant in our environment. To develop appropriate management and remediation strategies for this global pollution problem, reliable and consistent analytical procedures for measuring plastics in the complex matrices need to be designed. The applicability of an easy, robust and fast multi-step approach was tested on three sediment samples from riverine, beach and backwater areas of varying origin, grain size and organic matter content, and is reported here. The optimized method included grain size fractionation, density separation and μ-FTIR analyses. Identification was based on two complementary methods of μ -FTIR measurements, the Image mode for small microplastics (<1 mm) and the ATR method for bigger (1–5 mm) particles. The analyses revealed the identification of several polymers in various grain sizes at different pollution levels. Major findings are the dominance of PET particles and the highest frequency of microplastic particles in the midsize fraction of 100–500 μm. Generally, the method was able to reliably detect microplastic particles in several grain size fractions and down to very low contamination levels of approximately. ten particles per 50 g of sediments with different organic matter content and various grain size characteristics. Moreover, the presented multi-step approach represents a fast, easy and less cost-effective method as an alternative to more expensive and time-consuming methods.
format article
author Olga Konechnaya
Christina Schwanen
Jan Schwarzbauer
author_facet Olga Konechnaya
Christina Schwanen
Jan Schwarzbauer
author_sort Olga Konechnaya
title Application of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples
title_short Application of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples
title_full Application of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples
title_fullStr Application of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples
title_full_unstemmed Application of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples
title_sort application of multi-step approach for comprehensive identification of microplastic particles in diverse sediment samples
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/dd3c6887043049ecaf8da19cd39aff39
work_keys_str_mv AT olgakonechnaya applicationofmultistepapproachforcomprehensiveidentificationofmicroplasticparticlesindiversesedimentsamples
AT christinaschwanen applicationofmultistepapproachforcomprehensiveidentificationofmicroplasticparticlesindiversesedimentsamples
AT janschwarzbauer applicationofmultistepapproachforcomprehensiveidentificationofmicroplasticparticlesindiversesedimentsamples
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