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Organic matter degradation determines the concentrations of polybrominated diphenyl ethers in sediments. Multivariate learning on environmental and experimental models.
Abraham, Emilia C; D'Angelo, José A; Ramírez, Daniela A; Camargo, Alejandra B; Altamirano, Jorgelina C.
Afiliação
  • Abraham EC; Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA), CONICET-UNCuyo-Government of Mendoza, P.O. Box. 331 (5500), Mendoza, Argentina.
  • D'Angelo JA; Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA), CONICET-UNCuyo-Government of Mendoza, P.O. Box. 331 (5500), Mendoza, Argentina; Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo (UNCuyo), Padre Jorge Contreras 1300, Mendoza 5500, Argentina; Cape B
  • Ramírez DA; Instituto de Biología Agrícola de Mendoza (IBAM), CONICET-Mendoza, Mendoza, Argentina; Laboratorio de Cromatografía para Agroalimentos, Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Mendoza, Argentina.
  • Camargo AB; Instituto de Biología Agrícola de Mendoza (IBAM), CONICET-Mendoza, Mendoza, Argentina; Laboratorio de Cromatografía para Agroalimentos, Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Mendoza, Argentina.
  • Altamirano JC; Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA), CONICET-UNCuyo-Government of Mendoza, P.O. Box. 331 (5500), Mendoza, Argentina; Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo (UNCuyo), Padre Jorge Contreras 1300, Mendoza 5500, Argentina. Electr
Sci Total Environ ; 876: 162766, 2023 Jun 10.
Article em En | MEDLINE | ID: mdl-36921870
Sediment organic matter (SOM) plays an important role in capturing polybrominated diphenyl ethers (PBDEs) due to its affinity to hydrophobic and lipophilic compounds. Previous publications about correlations between PBDE concentrations and SOM content showed discrepancies among the results, reporting either significant positive correlations or no correlations at all. This work aimed to provide a deeper insight into SOM characteristics that might determine the concentrations of PBDEs in sediments. Sediment samples from Mendoza province, Argentina, were analyzed to contrast two models, environmental and experimental, using multivariate learning methods. Mendoza has been going through increasing events of drought and water scarcity, hence the occurrence, transport, and fate of contaminants as PBDEs in aquatic environments is of superlative importance. Principal component analysis (PCA) and partial least squares regression (PLS) were used to evaluate the correlations between physicochemical properties of sediments, semi-quantitative Fourier transform infrared (FTIR) area ratios obtained from SOM spectra, and PBDE concentrations in sediments. Moreover, a linear model was proposed to determine SOM density using FTIR area ratios and it was used as an additional variable in multivariate analyses. The results obtained from PCA and PLS were consistent and revealed that PBDE concentrations in sediments were correlated with a more degraded SOM, characterized by shorter and more branched hydrocarbon chains. PBDE concentrations were also correlated with higher SOM density values, which in turn were correlated with SOM degradation. These findings extend previous understanding and emphasize that not only is the organic matter content a factor in determining PBDE concentrations in sediments, but also and more significantly, its degree of degradation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Argentina País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Argentina País de publicação: Holanda