An approach to the environmental prioritisation of volatile methylsiloxanes in several matrices

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

Vera Homem (Autor) FEUP; Daniela Capela (Autor) FEUP; José Avelino Silva (Autor) FEUP; Alessandra Cincinelli (Autor) Outra; Lúcia Santos (Autor) FEUP; Arminda Alves (Autor) FEUP; Nuno Ratola (Autor) FEUP

Revista

Título: Science of the Total Environment

Vol. 579

Páginas: 506-513

ISSN: 0048-9697

Editora: Elsevier

Indexação

ISI Web of Knowledge - 7 Citações

Scopus - 12 Citações

Projetos Associados

LEPABE - Laboratório de Engenharia de Processos, Ambiente, Biotecnologia e Energia

LEPABE-2-ECO-INNOVATION - LEPABE-2-ECO-INNOVATION

SILOQUEST - SILOQUEST - Como se comportam os siloxanos no meio ambiente?

Outras Informações

ID Authenticus: P-00M-EAR

DOI: 10.1016/j.scitotenv.2016.11.068

Abstract (EN): Siloxane-based compounds are widely used in personal care, pharmaceutical and household products as well as in industrial applications. Among the wide variety of these chemicals, special attention has been given to volatile methylsiloxanes (VMSs). These compounds have been extensively detected in several environmental compartments, as they are not effectively removed from wastewater and may migrate through different matrices and being lipophilic, bioaccumulate and biomagnify in living organisms. In this work, a prioritisation methodology for several VMSs in different environmental matrices was applied, estimating a hazard quotient by combining exposure evaluation through measured or predicted environmental concentrations (MEC or PEC) and effects using ecotoxicity data to establish no effect concentrations (PNEC).VMSs show quite different hazard potentials in the environment: for linear VMSs it is not considerable, while for cyclic VMSs the hazard is disperse. D4 and D5 may have adverse effects in water, as well as D5 and D6 in sediments. This first multi-matrix approach for the prioritisation of VMSs sets the ground for more accurate studies in the future, provided that more field-based data are reported.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8