Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps (2019)
- Authors:
- Autor USP: LOURENÇO, FELIPE REBELLO - FCF
- Unidade: FCF
- DOI: 10.1016/j.chemolab.2019.05.002
- Subjects: MEDIÇÃO DE RISCO; QUIMIOMETRIA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Chemometrics and Intelligent Laboratory Systems
- ISSN: 0169-7439
- Volume/Número/Paginação/Ano: v. 189, p. 161-168, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SEPAROVIC, Luciana e SILVA, Ricardo J.N. Bettencourt da e LOURENÇO, Felipe Rebello. Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps. Chemometrics and Intelligent Laboratory Systems, v. 189, p. 161-168, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2019.05.002. Acesso em: 28 jan. 2026. -
APA
Separovic, L., Silva, R. J. N. B. da, & Lourenço, F. R. (2019). Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps. Chemometrics and Intelligent Laboratory Systems, 189, 161-168. doi:10.1016/j.chemolab.2019.05.002 -
NLM
Separovic L, Silva RJNB da, Lourenço FR. Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps [Internet]. Chemometrics and Intelligent Laboratory Systems. 2019 ; 189 161-168.[citado 2026 jan. 28 ] Available from: https://doi.org/10.1016/j.chemolab.2019.05.002 -
Vancouver
Separovic L, Silva RJNB da, Lourenço FR. Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps [Internet]. Chemometrics and Intelligent Laboratory Systems. 2019 ; 189 161-168.[citado 2026 jan. 28 ] Available from: https://doi.org/10.1016/j.chemolab.2019.05.002 - Measurement uncertainty of dissolution test of acetaminophen immediate release tablets using Monte Carlo simulations
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Informações sobre o DOI: 10.1016/j.chemolab.2019.05.002 (Fonte: oaDOI API)
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