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<p>In this study, a methodology is provided for estimation of intake due to inhalation of mixture of radioactive compounds of different solubility types. A systemic approach is presented for evaluating intake with help of statistical techniques using different measurement datasets, modified retention and daily urinary excretion fractions. For a single or multiple types of monitoring datasets, intake estimation is performed, considering the varying fractions of compounds. For this purpose, chi square and autocorrelation analysis has been used. A Python program has been written for computation of intake. A case has been taken from the IAEA/IDEAS Intercomparison Exercise on Internal Dose Assessment for validation of the methodology for the estimation of the unknown fractions of compounds as well as of the intake.</p>

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Methodology for estimating intake from an unknown mixture of radioactive compounds

  • 期刊论文

  • 发表日期：

    2026年6月23日

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  • Sushanta Halder,
  • Minal Y. Nadar,
  • Jogendra Yadav,
  • Pramilla Sawant,
  • Probal Chaudhury

摘要

In this study, a methodology is provided for estimation of intake due to inhalation of mixture of radioactive compounds of different solubility types. A systemic approach is presented for evaluating intake with help of statistical techniques using different measurement datasets, modified retention and daily urinary excretion fractions. For a single or multiple types of monitoring datasets, intake estimation is performed, considering the varying fractions of compounds. For this purpose, chi square and autocorrelation analysis has been used. A Python program has been written for computation of intake. A case has been taken from the IAEA/IDEAS Intercomparison Exercise on Internal Dose Assessment for validation of the methodology for the estimation of the unknown fractions of compounds as well as of the intake.