A dynamic dosimetry model for radioactive exposure scenarios in Arabidopsis thaliana

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A dynamic dosimetry model for radioactive exposure scenarios in Arabidopsis thaliana. / Biermans, Geert; Horemans, Nele; Hens, Niel; Vives i Batlle, Jordi; Vandenhove, Hildegarde; Cuypers, Ann; Vanmarcke, Hans (Peer reviewer).

In: Journal of Theoretical Biology, Vol. 347, No. 4, 04.2014, p. 54-62.

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@article{a199d148b57440d4a3cb7ecb99a6c8f6,
title = "A dynamic dosimetry model for radioactive exposure scenarios in Arabidopsis thaliana",
abstract = "To obtain a better understanding on how non-human biota are affected by exposure to environmental radioactivity, it is essential to link observed effects to a correct estimate of absorbed ionising radiation dose. Current wildlife dose rate and risk assessment tools are not setup to assess changes in dose rate during organism development. This paper presents a dosimetry model for assessing dose rate and absorbed dose during seedling development of the model plant Arabidopsisthaliana. We included growth and radionuclide absorption dynamics into the dose calculations. This model was subsequently used to compare the dose and dose rate calculations for three radionuclides, 241Am (α-radiation), 90Sr (β-radiation) and 133Ba (γ-radiation), in a standard exposure scenario. We show that growth influences dose and dose rate and thatt his influence depends on theradionuclide and the organ involved. The use of dynamic dosimetry models greatly improves the dose calculations for effect studies.",
keywords = "Plant dosimetry, Arabidopsis thaliana, radiological protection, exposure modelling",
author = "Geert Biermans and Nele Horemans and Niel Hens and {Vives i Batlle}, Jordi and Hildegarde Vandenhove and Ann Cuypers and Hans Vanmarcke",
note = "Score = 10",
year = "2014",
month = "4",
doi = "10.1016/j.jtbi.2014.01.012",
language = "English",
volume = "347",
pages = "54--62",
journal = "Journal of Theoretical Biology",
issn = "0022-5193",
publisher = "Elsevier",
number = "4",

}

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TY - JOUR

T1 - A dynamic dosimetry model for radioactive exposure scenarios in Arabidopsis thaliana

AU - Biermans, Geert

AU - Horemans, Nele

AU - Hens, Niel

AU - Vives i Batlle, Jordi

AU - Vandenhove, Hildegarde

AU - Cuypers, Ann

A2 - Vanmarcke, Hans

N1 - Score = 10

PY - 2014/4

Y1 - 2014/4

N2 - To obtain a better understanding on how non-human biota are affected by exposure to environmental radioactivity, it is essential to link observed effects to a correct estimate of absorbed ionising radiation dose. Current wildlife dose rate and risk assessment tools are not setup to assess changes in dose rate during organism development. This paper presents a dosimetry model for assessing dose rate and absorbed dose during seedling development of the model plant Arabidopsisthaliana. We included growth and radionuclide absorption dynamics into the dose calculations. This model was subsequently used to compare the dose and dose rate calculations for three radionuclides, 241Am (α-radiation), 90Sr (β-radiation) and 133Ba (γ-radiation), in a standard exposure scenario. We show that growth influences dose and dose rate and thatt his influence depends on theradionuclide and the organ involved. The use of dynamic dosimetry models greatly improves the dose calculations for effect studies.

AB - To obtain a better understanding on how non-human biota are affected by exposure to environmental radioactivity, it is essential to link observed effects to a correct estimate of absorbed ionising radiation dose. Current wildlife dose rate and risk assessment tools are not setup to assess changes in dose rate during organism development. This paper presents a dosimetry model for assessing dose rate and absorbed dose during seedling development of the model plant Arabidopsisthaliana. We included growth and radionuclide absorption dynamics into the dose calculations. This model was subsequently used to compare the dose and dose rate calculations for three radionuclides, 241Am (α-radiation), 90Sr (β-radiation) and 133Ba (γ-radiation), in a standard exposure scenario. We show that growth influences dose and dose rate and thatt his influence depends on theradionuclide and the organ involved. The use of dynamic dosimetry models greatly improves the dose calculations for effect studies.

KW - Plant dosimetry

KW - Arabidopsis thaliana

KW - radiological protection

KW - exposure modelling

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_137190

UR - http://knowledgecentre.sckcen.be/so2/bibref/11886

U2 - 10.1016/j.jtbi.2014.01.012

DO - 10.1016/j.jtbi.2014.01.012

M3 - Article

VL - 347

SP - 54

EP - 62

JO - Journal of Theoretical Biology

JF - Journal of Theoretical Biology

SN - 0022-5193

IS - 4

ER -

ID: 317893