A new statistical method for transfer coefficient calculations in the framework of the general multiple-compartment model of transport for radionuclides in biological systems

Abstract

A new and simple statistical procedure (STATFLUX) for the calculation of transfer coefficients of radionuclide transport to animals and plants is proposed. The method is based on the general multiple-compartment model, which uses a system of linear equations involving geometrical volume considerations. By using experimentally available curves of radionuclide concentrations versus time, for each animal compartment (organs), flow parameters were estimated by employing a least-squares procedure, whose consistency is tested. Some numerical results are presented in order to compare the STATFLUX transfer coefficients with those from other works and experimental data.

The STATFLUX code: a statistical method for calculation of flow and set of parameters, based on the Multiple-Compartment Biokinetical Model

“…However, the transfer coefficient mean values for model 2 are in good agreement with those for model 1 and the experimental values of Assimakopoulos et al [17,18]. If more experimental points are available, we can expect the precision of the transfer coefficients for model 2 to be reduced, as verified in the simulations shown in Garcia [20].…”

“…To reach this goal we also develop a new approach (STATFLUX) to the use of the Least Squares Method (LSM). The new "derivative method" was applied to real experiments [20]. The evaluation was carried out with the set of experimental data published by Assimakopoulos [18], which is related to the investigation of 137 Cs contamination in sheeps subjected to a diet of a wheat harvested in Northwestern Greece shortly after Chernobil accident.…”