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Comparative analysis of PFASs concentrations in fur, muscle, and liver of wild roe deer as biomonitoring matrices

Frontiers in Veterinary Science 2024 9 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Giuseppina Gullifa, Susanna Draghi, Giulio Curone, Roberta Risoluti, Radmila Pavlović, Roberta Risoluti, Stefano Materazzi, Roberta Risoluti, Giuseppina Gullifa, Giuseppina Gullifa, Stefano Materazzi, Angela Amoresano, Roberta Risoluti, Michele Spinelli, Carolina Fontanarosa, Carolina Fontanarosa, Radmila Pavlović, Angela Amoresano, Alberto Pellegrini, Alberto Pellegrini, Marco Fidani, Marco Fidani, P. Cagnardi, Federica Di Cesare, Federica Di Cesare, Francesco Arioli

Summary

A comparative analysis of PFAS concentrations in fur, muscle, and liver of wild roe deer found significant differences in detection frequency and concentration among tissues. Fur showed highly variable PFAS levels and different compound detection patterns compared to muscle and liver, complicating its use as a reliable non-lethal biomonitoring matrix.

The results indicated significant differences in PFAS concentrations among the three matrices. Fur, although easier to sample and store, showed highly variable PFAS levels, with different detection frequencies compared to the muscle and liver. PFASs such as PFHxA were more frequently detected in fur than in the liver and muscle, while compounds such as PFBA, PFPeA, PFHpA, PFDA, PFHxS, 6-2 FTS, and 8-2 FTS were less frequently detected in fur. In conclusion, while fur presents many practical advantages for biomonitoring, such as non-invasive sampling and stability, its use is complicated by varying detection frequencies and concentration levels. These aspects, together with the use of a single sampling technique, can be considered a limitation of the study. Notably, compounds such as PFOA, PFNA, and PFOS showed partially similar detection frequencies across the matrices, suggesting potential interest for further research. This study offers new perspectives on the use of fur for environmental monitoring, highlighting the need for more extensive research to understand the relationship between PFAS concentrations in fur and other biological matrices. Future studies should focus on methodological improvements in extraction and quantification techniques for PFASs in fur to enhance their reliability as a biomonitoring tool.

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