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Transference factors as a tool for the estimation of arsenic milk concentration

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Abstract

The Chaco Pampean Plain of central Argentina represents one of the largest regions with high levels of arsenic (As) in groundwater. The aim of this study was the assessment of a biotransference factor (BTF) as a tool for the estimation of As concentration in cow’s milk from As drinking water concentration. Total As content in livestock drinking water, soil, forage, and milk was determined in farms located in an area of high As groundwater, in order to analyze the relation between As uptake and its transfer to milk. The concentrations of As in milk ranged from 0.5 to 8.0 μg/L. From the results obtained, drinking water may be considered the main source of exposure to As, and the biotransference factor for milk ranges from 1.5 × 10−5 to 4.3 × 10−4. Therefore, BTF provides a simple tool for the estimation of arsenic levels in milk through the As livestock drinking water content.

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Acknowledgments

Authors are indebted to the University of Buenos Aires and to CONICET (National Research Council) for financial support.

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Authors and Affiliations

  1. Instituto de Investigaciones en Producción Animal (INPA), CONICET-UBA, Facultad de Ciencias Veterinarias, Universidad de Buenos Aires, Av. Chorroarín N° 280, C1427CWO, Ciudad de Buenos Aires, Argentina

    Alejo Pérez-Carrera, Cristina V. Alvarez-Gonçalvez & Alicia Fernández-Cirelli

  2. Centro de Estudios Transdisciplinarios del Agua. Facultad de Ciencias Veterinarias, Universidad de Buenos Aires (UBA), Av. Chorroarín N° 280, C1427CWO, Ciudad de Buenos Aires, Argentina

    Alejo Pérez-Carrera, Cristina V. Alvarez-Gonçalvez & Alicia Fernández-Cirelli

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  1. Alejo Pérez-Carrera
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  2. Cristina V. Alvarez-Gonçalvez
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  3. Alicia Fernández-Cirelli
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Correspondence to Alicia Fernández-Cirelli.

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Responsible editor: Philippe Garrigues

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Pérez-Carrera, A., Alvarez-Gonçalvez, C.V. & Fernández-Cirelli, A. Transference factors as a tool for the estimation of arsenic milk concentration. Environ Sci Pollut Res 23, 16329–16335 (2016). https://doi.org/10.1007/s11356-016-6731-0

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