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Optimization of an Analytical Protocol for the Extraction of Microplastics from Seafood Samples with Different Levels of Fat

Molecules 2022 17 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.
Sabrina M. Rodrigues, Sabrina M. Rodrigues, Diogo Silva, Sandra Ramos, Diogo Silva, Sabrina M. Rodrigues, Diogo Silva, Sabrina M. Rodrigues, Sabrina M. Rodrigues, Sabrina M. Rodrigues, Sabrina M. Rodrigues, Diogo Silva, C. Marisa R. Almeida C. Marisa R. Almeida Sabrina M. Rodrigues, Sabrina M. Rodrigues, Sabrina M. Rodrigues, Diogo Silva, Sabrina M. Rodrigues, Sabrina M. Rodrigues, Sabrina M. Rodrigues, C. Marisa R. Almeida C. Marisa R. Almeida C. Marisa R. Almeida C. Marisa R. Almeida C. Marisa R. Almeida Sandra Ramos, C. Marisa R. Almeida C. Marisa R. Almeida Diogo Silva, Sabrina M. Rodrigues, Diogo Silva, Sabrina M. Rodrigues, Francisco A. Guardiola, Sandra Ramos, Sandra Ramos, C. Marisa R. Almeida Sandra Ramos, Sandra Ramos, Francisco A. Guardiola, Diogo Silva, C. Marisa R. Almeida Diogo Silva, Francisco A. Guardiola, Sabrina M. Rodrigues, Francisco A. Guardiola, Diogo Silva, Sabrina M. Rodrigues, C. Marisa R. Almeida Sabrina M. Rodrigues, Diogo Silva, C. Marisa R. Almeida C. Marisa R. Almeida C. Marisa R. Almeida Sabrina M. Rodrigues, Diogo Silva, Sabrina M. Rodrigues, C. Marisa R. Almeida Sandra Ramos, Sandra Ramos, Sandra Ramos, Sandra Ramos, C. Marisa R. Almeida Sandra Ramos, Sandra Ramos, Sandra Ramos, Sabrina M. Rodrigues, C. Marisa R. Almeida Sandra Ramos, Diogo Silva, Francisco A. Guardiola, C. Marisa R. Almeida C. Marisa R. Almeida Sandra Ramos, Sandra Ramos, C. Marisa R. Almeida Sandra Ramos, C. Marisa R. Almeida C. Marisa R. Almeida Sandra Ramos, Sandra Ramos, C. Marisa R. Almeida Sandra Ramos, Sandra Ramos, Sandra Ramos, C. Marisa R. Almeida Sandra Ramos, C. Marisa R. Almeida C. Marisa R. Almeida Sandra Ramos, C. Marisa R. Almeida C. Marisa R. Almeida

Summary

Researchers developed and optimized an analytical extraction protocol for microplastics from seafood samples with varying fat content, testing the method on fresh and canned fish and molluscs. They found that fat-rich matrices required additional lipid removal steps to achieve reliable extraction efficiency, and validated a protocol suitable for high-fat seafood that reduces matrix interference while maintaining microplastic recovery.

Marine organisms are affected by the ubiquitous occurrence of microplastics (MPs) in the environment. Several protocols have been described to extract and quantify MPs in seafood, although their complex matrices, with high level of fat, can compromise the efficiency of MPs extraction. To solve this issue, the present study aimed to develop a detailed methodology suitable to process seafood samples with different levels of fat, namely fish and molluscs, from fresh and canned sources, including the immersive liquids from the cans. Sample digestion was tested using different solutions (10% KOH, 30% H<sub>2</sub>O<sub>2</sub>), temperatures (40 °C, 65 °C) and incubation times (24, 48, 72 h). For fat removal, three detergents (two laboratory surfactants and a commercial dish detergent) and 96% ethanol were tested, as well as the manual separation of fat. The methodology optimized in this study combined a digestion with 30% H<sub>2</sub>O<sub>2</sub> at 65 °C, during 24 to 48 h, with a manual separation of the fat remaining after the digestion. All steps from the present methodology were tested in six types of polymers (PE-LD, PET, PE, AC, PS, and lycra), to investigate if these procedures altered the integrity of MPs. Results showed that the optimized methodology will allow for the efficient processing of complex seafood samples with different fat levels, without compromising MPs integrity (recoveries rate higher than 89% for all the polymers tested).

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