Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods (2021)
- Authors:
- USP affiliated authors: BRUNI, ALINE THAIS - FFCLRP ; SINHORINI, LUIZ FELIPE COLLI - FFCLRP ; RODRIGUES, CAIO HENRIQUE PINKE - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1016/j.comptc.2021.113378
- Subjects: ÓPIO; DOR; ANÁLISE MULTIVARIADA
- Keywords: Fentanyl; Factorial design; DFT; Multivariate analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Computational and Theoretical Chemistry
- ISSN: 2210-271X
- Volume/Número/Paginação/Ano: v. 1204, art. 113378, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SINHORINI, Luiz Felipe Colli et al. Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods. Computational and Theoretical Chemistry, v. 1204, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.comptc.2021.113378. Acesso em: 27 dez. 2025. -
APA
Sinhorini, L. F. C., Rodrigues, C. H. P., Leite, V. B. P., & Bruni, A. T. (2021). Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods. Computational and Theoretical Chemistry, 1204. doi:10.1016/j.comptc.2021.113378 -
NLM
Sinhorini LFC, Rodrigues CHP, Leite VBP, Bruni AT. Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods [Internet]. Computational and Theoretical Chemistry. 2021 ; 1204[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.comptc.2021.113378 -
Vancouver
Sinhorini LFC, Rodrigues CHP, Leite VBP, Bruni AT. Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods [Internet]. Computational and Theoretical Chemistry. 2021 ; 1204[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.comptc.2021.113378 - Vidros automobilísticos como vestígios de cena de crime: uma abordagem multivariada
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Informações sobre o DOI: 10.1016/j.comptc.2021.113378 (Fonte: oaDOI API)
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