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Soutenance publique de thèse de doctorat en Sciences biologiques - Andry Rabezanahary

Environmental microplastics toxicity in focus: riverine spatio-temporal distribution and hazard assessment in freshwater fish based on in situ and in vivo approaches

Catégorie : défense de thèse
Date : 25/11/2025 15:00 - 25/11/2025 18:00
Lieu : CH01
Orateur(s) : Andry Rabezanahary
Organisateur(s) : Patrick Kestemont

Jury

  • Prof. Eli THORÉ (UNamur), Président
  • Prof. Patrick KESTEMONT (UNamur), Secrétaire
  • Prof. Ranjàna RANDRIANARIVO (Université d’Antananarivo)
  • Dr Valérie CORNET (UNamur)
  • Dr Omayma MISSAWI (UNamur)
  • Prof. Catherine MOUNEYRAC (Université Catholique de l’Ouest)
  • Prof. Gauthier EPPE (ULiège)

Résumé

 

The widespread production and use of plastics have led to their continuous release into the environment. Microplastics (MPs) are now ubiquitous in aquatic ecosystems, where their bioavailability to organisms and potential entry into the food web raise serious environmental and public health concerns. Substantial progress has been made in understanding MP toxicity, and their hazardous potential is now widely acknowledged. However, MP toxicity studies remain complex, as multiple particle characteristics, such as size, shape, polymer type, and sorbed contaminants might influence both bioavailability

To bridge this gap, the present thesis adopted a dual, complementary approach: (i) characterizing the environmental occurrence and bioavailability of MPs, and (ii) assessing the ecological relevance of using environmentally derived MPs in in vivo toxicity experiments.

Overall, this thesis provides insights into the reproductive and transgenerational effects of environmentally relevant MPs while underscoring the importance of considering particle–pollutant interactions. By combining in situ field data with in vivo laboratory experiments, it demonstrates that the use of environmentally derived MPs represents a more realistic and ecologically meaningful approach to hazard characterization. Further studies should be carried out in this same perspective to generate robust, exploitable data and contribute to establishing a comprehensive MP risk characterization.

 

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