{"title":"Methodology for estimating intake from an unknown mixture of radioactive compounds.","authors":"Sushanta Halder, Minal Y Nadar, Jogendra Yadav, Pramilla Sawant, Probal Chaudhury","doi":"10.1007/s00411-026-01231-w","DOIUrl":null,"url":null,"abstract":"<p><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>","PeriodicalId":21002,"journal":{"name":"Radiation and Environmental Biophysics","volume":" ","pages":"919-928"},"PeriodicalIF":2.4000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation and Environmental Biophysics","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s00411-026-01231-w","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/23 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍：
This journal is devoted to fundamental and applied issues in radiation research and biophysics. The topics may include:
Biophysics of ionizing radiation: radiation physics and chemistry, radiation dosimetry, radiobiology, radioecology, biophysical foundations of medical applications of radiation, and radiation protection.
Biological effects of radiation: experimental or theoretical work on molecular or cellular effects; relevance of biological effects for risk assessment; biological effects of medical applications of radiation; relevance of radiation for biosphere and in space; modelling of ecosystems; modelling of transport processes of substances in biotic systems.
Risk assessment: epidemiological studies of cancer and non-cancer effects; quantification of risk including exposures to radiation and confounding factors
Contributions to these topics may include theoretical-mathematical and experimental material, as well as description of new techniques relevant for the study of these issues. They can range from complex radiobiological phenomena to issues in health physics and environmental protection.
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