dc.creator | FRANCA, Elvis J. De | |
dc.creator | FERNANDES, Elisabete A. De Nadai | |
dc.creator | BACCHI, Marcio A. | |
dc.creator | BODE, Peter | |
dc.creator | SOLDT, Rob T. M. van | |
dc.date.accessioned | 2012-10-18T20:44:53Z | |
dc.date.accessioned | 2018-07-04T14:44:34Z | |
dc.date.available | 2012-10-18T20:44:53Z | |
dc.date.available | 2018-07-04T14:44:34Z | |
dc.date.created | 2012-10-18T20:44:53Z | |
dc.date.issued | 2009 | |
dc.identifier | JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, v.282, n.1, p.125-132, 2009 | |
dc.identifier | 0236-5731 | |
dc.identifier | http://producao.usp.br/handle/BDPI/17022 | |
dc.identifier | 10.1007/s10967-009-0326-x | |
dc.identifier | http://dx.doi.org/10.1007/s10967-009-0326-x | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1613828 | |
dc.description.abstract | 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. | |
dc.language | eng | |
dc.publisher | SPRINGER | |
dc.relation | Journal of Radioanalytical and Nuclear Chemistry | |
dc.rights | Copyright SPRINGER | |
dc.rights | restrictedAccess | |
dc.subject | LS-INAA | |
dc.subject | Sampling error | |
dc.subject | Ingamells` constant | |
dc.subject | Dense Ombrophilous Forest | |
dc.title | Improving sample representativeness in environmental studies: a major component for the uncertainty budget | |
dc.type | Artículos de revistas | |