Literature DB >> 25012782

A recycling model of the biokinetics of systemic tellurium.

Augusto Giussani1.   

Abstract

PURPOSE: To develop a compartmental model of the systemic biokinetics of tellurium required for calculating the internal dose and interpreting bioassay measurements after incorporation of radioactive tellurium.
MATERIALS AND METHODS: The compartmental model for tellurium was developed with the software SAAM II v. 2.0 (©The Epsilon Group, Charlottesville, Virginia, USA). Model parameters were determined on the basis of published retention and excretion data in humans and animals.
RESULTS: The model consists of two blood compartments, one compartment each for liver, kidneys, thyroid, four compartments for bone tissues and a generic compartment for the soft tissues. The model predicts a rapid urinary excretion of systemic tellurium: 45% in the first 24 h and 84% after 50 d. Faecal excretion amounts to 0.4% after 3 d and 9% after 50 d. Whole body retention is 55% after one day, and 2.8% after 100 d. These values as well as the retained fractions in the single organs are reasonably consistent with the available human and animal data (studies with swine and guinea pigs).
CONCLUSIONS: The proposed model gives a realistic description of the available biokinetic data for tellurium and will be adopted by the International Commission on Radiological Protection for applications in internal dosimetry.

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Keywords:  Tellurium; compartmental models; internal dosimetry; systemic biokinetics

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Year:  2014        PMID: 25012782     DOI: 10.3109/09553002.2014.943850

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  1 in total

1.  Use of Iodine-131 to Tellurium-132 Ratios for Assessing the Relationships between Human Inhaled Radioactivity and Environmental Monitoring after the Accident in Fukushima.

Authors:  Koji Uchiyama; Masami Miyashita; Yoshinobu Tanishima; Shigenobu Maeda; Hitoshi Sato; Jun Yoshikawa; Shuji Watanabe; Masamichi Shibata; Shuji Ohhira; Gen Kobashi
Journal:  Int J Environ Res Public Health       Date:  2018-03-09       Impact factor: 3.390

  1 in total

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