Measurement uncertainty for <711> dissolution tests using Monte Carlo methods – uncertainties arising from sampling and analytical steps (2024)
- Authors:
- USP affiliated authors: LOURENÇO, FELIPE REBELLO - FCF ; MARTINS, MAISA TORRES - FCF
- Unidade: FCF
- DOI: 10.1016/j.aca.2024.343285
- Subjects: MEDICAMENTO; INDÚSTRIA FARMACÊUTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Analytica Chimica Acta
- ISSN: 0003-2670
- Volume/Número/Paginação/Ano: v. 1330, p. 1-10 art. 343285, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MARTINS, Maisa Torres e LOURENÇO, Felipe Rebello. Measurement uncertainty for <711> dissolution tests using Monte Carlo methods – uncertainties arising from sampling and analytical steps. Analytica Chimica Acta, v. 1330, p. 1-10 art. 343285, 2024Tradução . . Disponível em: https://dx.doi.org/10.1016/j.aca.2024.343285. Acesso em: 26 jan. 2026. -
APA
Martins, M. T., & Lourenço, F. R. (2024). Measurement uncertainty for <711> dissolution tests using Monte Carlo methods – uncertainties arising from sampling and analytical steps. Analytica Chimica Acta, 1330, 1-10 art. 343285. doi:10.1016/j.aca.2024.343285 -
NLM
Martins MT, Lourenço FR. Measurement uncertainty for <711> dissolution tests using Monte Carlo methods – uncertainties arising from sampling and analytical steps [Internet]. Analytica Chimica Acta. 2024 ; 1330 1-10 art. 343285.[citado 2026 jan. 26 ] Available from: https://dx.doi.org/10.1016/j.aca.2024.343285 -
Vancouver
Martins MT, Lourenço FR. Measurement uncertainty for <711> dissolution tests using Monte Carlo methods – uncertainties arising from sampling and analytical steps [Internet]. Analytica Chimica Acta. 2024 ; 1330 1-10 art. 343285.[citado 2026 jan. 26 ] Available from: https://dx.doi.org/10.1016/j.aca.2024.343285 - Measurement uncertainty for < 905 > Uniformity of Dosage Units tests using Monte Carlo and bootstrapping methods – Uncertainties arising from sampling and analytical steps
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Informações sobre o DOI: 10.1016/j.aca.2024.343285 (Fonte: oaDOI API)
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