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Enzymatic digestion method development for long-term stored chitinaceous planktonic samples

Marine Pollution Bulletin 2022 10 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Priscilla Carrillo-Barragán Priscilla Carrillo-Barragán Priscilla Carrillo-Barragán Priscilla Carrillo-Barragán Clare Fitzsimmons, Clare Fitzsimmons, Priscilla Carrillo-Barragán Heather Sugden, Catherine Scott, Catherine Scott, Clare Fitzsimmons, Clare Fitzsimmons, Catherine Scott, Catherine Scott, Heather Sugden, Priscilla Carrillo-Barragán

Summary

Researchers developed an enzymatic digestion method for extracting microplastics from long-term preserved chitinaceous planktonic crustacean samples, comparing material from 1985 and 2020 North Sea collections. The method enables retrospective microplastic analysis in archived time-series biological collections, providing a tool for investigating historical changes in marine microplastic exposure.

Different extraction methods have been proposed to study the ingestion of microplastics by marine organisms, including enzymatic digestion. While mussels have been the focus of research, crustaceans' enzymatic digestion has received little attention. An overlooked source of information for microplastic research is analysis of long-term time-series biotic samples. These collections are invaluable for the detection and monitoring of changes in ecosystems, especially those caused by anthropogenic factors. Here, crustacean larvae collected in two periods, 1985 and 2020, in the central North Sea were used to develop and optimise an effective and gentle enzymatic digestion method suitable for microplastic research. Sequential breakdown of these chitinaceous samples via a mechanical and surfactant (Sodium Dodecyl Sulphate 1% v/v) pre-treatment, followed by proteinase K (100 mU/mL) and chitinase (50 mU/mL) digestion, efficiently removed >96% of biomass of 1985 and 2020 samples. The optimised method was effective without interfering with the identification of naturally weathered microplastics via FTIR Spectroscopy.

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