Decreases in the bioconcentration of triclosan in wheat plants according to increasing amounts of biosolids added to soil
Author
dc.contributor.author
Jachero, Lourdes
Author
dc.contributor.author
Ahumada, Inés
Author
dc.contributor.author
Fuentes, Edwar
Author
dc.contributor.author
Richter Duk, Pablo
Admission date
dc.date.accessioned
2016-11-22T20:45:13Z
Available date
dc.date.available
2016-11-22T20:45:13Z
Publication date
dc.date.issued
2016
Cita de ítem
dc.identifier.citation
Geoderma. Volumen: 276 Páginas: 19-25
es_ES
Identifier
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0016-7061
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/141363
Abstract
dc.description.abstract
The uptake of triclosan (TCS) and its metabolite methyl-triclosan (MTCS) by plants is poorly discussed in the current literature. The aim of this research was to analyze the extent of absorption of these compounds by the tissues of wheat plants by quantifying their bioconcentration factors (BCFs). Plants were grown for 30 days under controlled greenhouse conditions in two types of Chilean soil (Taqueral, TQ and Cuesta Vieja, CV) obtained from the metropolitan region of Santiago, Chile, that were amended with different amounts of biosolids containing indigenous and spiked TCS (10 mg kg(-1)). Once the plants were harvested, both the root and the aerial parts of the plants were treated separately in each biomass sample. From the results, the extent of absorption of the compounds by the root was determined by measuring the BCF; the determined BCFs for the lowest and highest biosolid doses were 0.64 and 0.34 for TQ soil and 1.06 and 0.30 for CV soil, respectively. These decreases were significant (p value < 0.05). In the case of plants grown in soils treated with biosolids spiked with an extra amount of TCS, a higher amount of TCS was available (labile fraction) and higher BCF values were obtained. The contributions of organic matter from biosolid doses and pH of the matrix as well as the additional loads of TCS from the biosolids were evaluated through a multi-factorial design. A mathematical expression was derived using this model, which was applied to predict BCFs using data reported in the literature. Predicted values showed great variability mainly due to variations in the plant species and harvest times, indicating that these factors should also be included for the development of a more complete model. (C) 2016 Elsevier B.V. All rights reserved.