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

Garcı́a, F.; Mesa, J.; Arruda‐Neto, J. D. T.; Helene, O.; Vanin, V. R.; Milián, Félix Más; Deppman, A.; Rodrigues, T. E.; Rodriguez, Oscar Maurício Hernandez

doi:10.1016/j.cpc.2006.10.007

Cited by 2 publications

(4 citation statements)

References 17 publications

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“…Calculations were performed with a code developed at our Laboratory, the STATFLUX code, which encompasses a statistical method for calculation of low and set of parameters, supported by a Multiple Compartment Biokinetics Model [4]. It uses the Hamilton-Caley algebraic method [10] and the 4 th order Runge-Kutta numerical method [11], for mathematical solution of differential equation systems in the Uranium ICRP biokinetics model ICRP 69 [12].…”

Section: Methodsmentioning

confidence: 99%

“…Mathematical and procedure details involved in the calculations, as well as the calibration of the whole methodology, were developed at this Laboratory and published elsewhere [4,13].…”

Section: Methodsmentioning

confidence: 99%

“…As pointed out elsewhere [1][2][3][4], wastes from the Caetité plant are categorized mostly as: (a) wastes from the mining operations which include waste rock and drainage waters, and (b) wastes from the industrial process, that is, leached ore and ef luents from the milling plant. In fact, contamination of groundwater by the waste ponds is of great concern, where elevated levels of 238 U have been observed.…”

Section: Introductionmentioning

confidence: 99%

“…In this sense, we present estimates of Uranium accumulation in some important and/or vital organs (skeleton, kidneys, liver, tissues and blood) as function of time, obtained by means of a BIOKINETICS code developed at our Laboratory [4] using as input previously measured data for teeth [2].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Uranium in Organs of Residents from an Uranium-Rich Region using Teeth as Bioindicators

Arruda-Neto¹,

Garcı́a²,

Righi³

2020

Int J Phys Res Appl

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The Uranium extraction and processing plant of INB (Brazilian Nuclear Industries) is in Caetité, a city located in a region hosting the largest Uranium reserve of the country. The degree of Uranium contamination in the Caetité population was investigated before using teeth as bioindicator, where a quite high Uranium concentration was measured in this region, about 160 times higher than the worldwide average. Radiobiological risks are here evaluated from Uranium burdens in organs as skeleton, kidneys, liver, tissues and blood, which were estimated from transfer coeffi cients and effective internal doses. This was accomplished by means of calculations with the use of the STATFLUX/ICRP approach, plus a set of Uranium transfer rate parameters as function of individual's age assuming an uninterrupted exposure over a period of 60 years. It was found that U ingestion rates by residents of Caetité are three orders of magnitude higher than worldwide average, indicating that food and water would exhibit high levels of contamination. Calculated effective internal doses range from a minimum of one to a maximum of three orders of magnitude higher than background doses, for blood and bones respectively. The likelihood that this circumstance could lead to serious health problems as e.g. neoplasia is addressed. The methodology presented in this work offers subsidies for further studies on environmental pollution by radionuclides.

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Section: Methodsmentioning

confidence: 99%

“…Mathematical and procedure details involved in the calculations, as well as the calibration of the whole methodology, were developed at this Laboratory and published elsewhere [4,13].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Uranium in Organs of Residents from an Uranium-Rich Region using Teeth as Bioindicators

Arruda-Neto¹,

Garcı́a²,

Righi³

2020

Int J Phys Res Appl

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Nonlinear fitting of multi-compartmental data using Hooke and Jeeves direct search method

Beni

2021

Open Physics

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Compartmental modelling refers to modelling the transport of substances in a system consisting of multiple compartments, which is characterized by the transfer rates among the relevant compartments. In a generalized compartmental system, recycling of substances among the compartments is allowed. Compartmental modelling is a generic technique which is needed in many branches of applied physics. The most challenging task is to determine the transfer rates. The present work described the use of the Hooke and Jeeves (HJ) derivative free direct search method in determining the transfer rates to construct a multi-compartmental model with recycling among the compartments. The use of a direct search method ensures the applicability of the model to functions which are not continuous or differentiable. The present model was successfully validated using previously reported experimental data for distribution of trace elements in four compartments in an animal.

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

Cited by 2 publications

References 17 publications

Evaluation of Uranium in Organs of Residents from an Uranium-Rich Region using Teeth as Bioindicators

Evaluation of Uranium in Organs of Residents from an Uranium-Rich Region using Teeth as Bioindicators

Nonlinear fitting of multi-compartmental data using Hooke and Jeeves direct search method

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