dc.creatorFRANCA, Elvis J. De
dc.creatorFERNANDES, Elisabete A. De Nadai
dc.creatorBACCHI, Marcio A.
dc.creatorBODE, Peter
dc.creatorSOLDT, Rob T. M. van
dc.date.accessioned2012-10-18T20:44:53Z
dc.date.accessioned2018-07-04T14:44:34Z
dc.date.available2012-10-18T20:44:53Z
dc.date.available2018-07-04T14:44:34Z
dc.date.created2012-10-18T20:44:53Z
dc.date.issued2009
dc.identifierJOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, v.282, n.1, p.125-132, 2009
dc.identifier0236-5731
dc.identifierhttp://producao.usp.br/handle/BDPI/17022
dc.identifier10.1007/s10967-009-0326-x
dc.identifierhttp://dx.doi.org/10.1007/s10967-009-0326-x
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1613828
dc.description.abstractFor 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.
dc.languageeng
dc.publisherSPRINGER
dc.relationJournal of Radioanalytical and Nuclear Chemistry
dc.rightsCopyright SPRINGER
dc.rightsrestrictedAccess
dc.subjectLS-INAA
dc.subjectSampling error
dc.subjectIngamells` constant
dc.subjectDense Ombrophilous Forest
dc.titleImproving sample representativeness in environmental studies: a major component for the uncertainty budget
dc.typeArtículos de revistas


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