Improving sample representativeness in environmental studies: a major component for the uncertainty budget

For environmental quality assessment, INAA has been applied for determining chemical elements in small (200 mg) and large (200 g) samples of leaves from 200 trees. By applying the Ingamells’ constant, the expected percent standard deviation was estimated in 0.9–2.2% for 200 mg samples. Otherwise, fo...

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Veröffentlicht in:Journal of radioanalytical and nuclear chemistry 2009-10, Vol.282 (1), p.125-132
Hauptverfasser: De França, Elvis J., De Nadai Fernandes, Elisabete A., Bacchi, Márcio A., Bode, Peter, van Soldt, Rob T. M.
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container_issue 1
container_start_page 125
container_title Journal of radioanalytical and nuclear chemistry
container_volume 282
creator De França, Elvis J.
De Nadai Fernandes, Elisabete A.
Bacchi, Márcio A.
Bode, Peter
van Soldt, Rob T. M.
description For environmental quality assessment, INAA has been applied for determining chemical elements in small (200 mg) and large (200 g) samples of leaves from 200 trees. By applying the Ingamells’ constant, the expected percent standard deviation was estimated in 0.9–2.2% for 200 mg samples. Otherwise, for composite samples (200 g), expected standard deviation varied from 0.5 to 10% in spite of analytical uncertainties ranging from 2 to 30%. Results thereby suggested the expression of the degree of representativeness as a source of uncertainty, contributing for increasing of the reliability of environmental studies mainly in the case of composite samples.
doi_str_mv 10.1007/s10967-009-0326-x
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subjects Assessments
Budgeting
Chemical elements
Chemistry
Chemistry and Materials Science
Diagnostic Radiology
Environmental studies
Hadrons
Heavy Ions
Inorganic Chemistry
Mathematical analysis
Nuclear Chemistry
Nuclear Physics
Physical Chemistry
Standard deviation
Uncertainty
title Improving sample representativeness in environmental studies: a major component for the uncertainty budget
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