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Detection Methods
Marine & Wildlife
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Subsampling microplastics for chemical characterization and confirmation: assessing efficiency and discussing reliability risks
Zenodo (CERN European Organization for Nuclear Research)2024
Score: 35
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Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Cherie Motti,
Cherie Motti,
Cherie Motti,
Cherie Motti,
Frederieke J. Kroon,
George Vamvounis,
Frederieke J. Kroon,
Frederieke J. Kroon,
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Frederieke J. Kroon,
Frederieke J. Kroon,
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Marina Santana
Frederieke J. Kroon,
George Vamvounis,
Marina Santana
Frederieke J. Kroon,
George Vamvounis,
George Vamvounis,
George Vamvounis,
Frederieke J. Kroon,
Frederieke J. Kroon,
Marina Santana
George Vamvounis,
Frederieke J. Kroon,
Marina Santana
Frederieke J. Kroon,
Frederieke J. Kroon,
Marina Santana
Frederieke J. Kroon,
George Vamvounis,
Marina Santana
George Vamvounis,
George Vamvounis,
Frederieke J. Kroon,
George Vamvounis,
Frederieke J. Kroon,
George Vamvounis,
George Vamvounis,
George Vamvounis,
Frederieke J. Kroon,
George Vamvounis,
Frederieke J. Kroon,
Marina Santana
George Vamvounis,
Frederieke J. Kroon,
Frederieke J. Kroon,
Frederieke J. Kroon,
Frederieke J. Kroon,
George Vamvounis,
Marina Santana
Frederieke J. Kroon,
George Vamvounis,
George Vamvounis,
Frederieke J. Kroon,
Frederieke J. Kroon,
Frederieke J. Kroon,
Frederieke J. Kroon,
George Vamvounis,
George Vamvounis,
Marina Santana
Marina Santana
Marina Santana
Summary
Researchers evaluated the efficiency and reliability risks of subsampling strategies for microplastic chemical characterization using FTIR spectroscopy, finding that while subsampling reduces labor-intensive manual transfer steps, it carries inherent risks of sampling bias and reduced representativeness.
In microplastic sample analysis, subsampling strategies are habitual used, particularly when employing time-intensive spectroscopic techniques like Fourier-transform infrared (FTIR) spectroscopy. With the current technology, the manual transfer of putative microplastics for spectroscopic analysis is often needed and can be both laborious and time-consuming. To circumvent the need for more high-tech and expensive equipment, subsampling approaches have been used to streamline research processes and expedite data output. However, subsampling carries inherent risks, including the potential for sampling bias and inaccurate representation of abundances. This (ongoing) study systematically revises the current literature in microplastic marine contamination to identify common subsampling strategies and size (i.e., number of putative microplastics chemically analysed in relation to total putative microplastics identified in samples). Furthermore, it assesses subsampling efficiency based on the size of the subsample dataset, ranging from 25 Also see: https://micro2024.sciencesconf.org/559323/document