Improving sample representativeness in environmental studies: a major component for the uncertainty budget
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
18/10/2012
18/10/2012
2009
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| Resumo |
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. FAPESP State of Sao Paulo Research Foundation[03/01075-2] European Union Programme of High Level Scholarships for Latin America[E04D041455BR] |
| Identificador |
JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, v.282, n.1, p.125-132, 2009 0236-5731 http://producao.usp.br/handle/BDPI/17022 10.1007/s10967-009-0326-x |
| Idioma(s) |
eng |
| Publicador |
SPRINGER |
| Relação |
Journal of Radioanalytical and Nuclear Chemistry |
| Direitos |
restrictedAccess Copyright SPRINGER |
| Palavras-Chave | #LS-INAA #Sampling error #Ingamells` constant #Dense Ombrophilous Forest #NEUTRON-ACTIVATION ANALYSIS #GEOCHEMICAL ANALYSIS #INAA #DESIGN #NAA #Chemistry, Analytical #Chemistry, Inorganic & Nuclear #Nuclear Science & Technology |
| Tipo |
article original article publishedVersion |