Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Analysis of microplastics of a broad size range in commercially important mussels by combining FTIR and Raman spectroscopy approaches

Title data

Kumar, Vinay B. N. ; Löschel, Lena A. ; Imhof, Hannes ; Löder, Martin G. J. ; Laforsch, Christian:
Analysis of microplastics of a broad size range in commercially important mussels by combining FTIR and Raman spectroscopy approaches.
In: Environmental Pollution. (20 November 2020) . - No. 116147.
ISSN 1873-6424
DOI: https://doi.org/10.1016/j.envpol.2020.116147

Project information

Project title:
Project's official titleProject's id
SFB 1357 MikroplastikSFB1357

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Microplastic (MP) contamination is present in the entire marine environment from the sediment to the water surface and down to the deep sea. This ubiquitous presence of MP particles opens the possibility for their ingestion by nearly all species in the marine ecosystem. Reports have shown that MP particles are present in local commercial seafood species leading to the possible human ingestion of these particles. However, due to a lack of harmonized methods to identify microplastics (MPs), results from different studies and locations can hardly be compared. Hence, this study was aimed to detect, quantify, and estimate MP contamination in commercially important mussels originating from 12 different counties distributed worldwide. All mussels were obtained from supermarkets and were intended for human consumption. Using a combinatorial approach of focal plane array (FPA)-based micro- Fourier-transform infrared (FTIR) spectroscopy and micro-Raman spectroscopy allowed the detection and characterization of MP down to a size of 3mm in the investigated mussels. Further, a gentle sample purification method based on enzymes has been modified in order to optimize the digestion of organic material in mussels. A random forest classification (RFC) approach, which allows rapid discrimination between different polymer types and thus fast generation of data on MP abundance and size distributions with high accuracy, was implemented in the analytical pipeline for IR spectra. Additionally, for the first time, we also applied a RFC approach for the automated characterization of Raman spectra of MPs.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Microplastic (MP); Mussels; Micro-FTIR spectroscopy; Micro-Raman spectroscopy; Enzymatic digestion; Random forest classification (RFC)
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Animal Ecology I
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Animal Ecology I > Chair Animal Ecology I - Univ.-Prof. Dr. Christian Laforsch
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Research Institutions > Collaborative Research Centers, Research Unit > SFB 1357 - MIKROPLASTIK
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 500 Natural sciences
500 Science > 540 Chemistry
500 Science > 570 Life sciences, biology
Date Deposited: 04 Dec 2020 07:31
Last Modified: 04 Dec 2020 07:31
URI: https://eref.uni-bayreuth.de/id/eprint/60758