4.4 Article

Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods

Journal

COMPUTATIONAL AND THEORETICAL CHEMISTRY
Volume 1204, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.comptc.2021.113378

Keywords

Fentanyl; Factorial design; DFT; Multivariate analysis

Funding

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [465450/2014-8, 310017/2020-3]
  2. Coordenacao de Pessoal de Nivel Superior (CAPES) [001]
  3. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo [2019/22540-3, 2016/19766-1]

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Non-pharmaceutical fentanyls (NPFs) are synthetic substances analogous to fentanyl that have not been approved for medical use. Their clandestine synthesis involves chemical modification of an existing drug, which may cause unpredictable pharmacological effects. In silico methods have become an alternative to study these systems, providing valuable information about illegal substances and proving helpful in predicting the spectroscopic properties of new fentanyl analogous drugs.
Non-pharmaceutical fentanyls (NPFs) are synthetic substances analogous to fentanyl that have not been approved for medical use. Their clandestine synthesis involves chemical modification of an existing drug, which may cause unpredictable pharmacological effects. New structures are emerging rapidly, and there is a lack of information for characterization. It makes their chemical identification difficult. In this scenario, in silico methods have become an alternative to study these systems. Here, we have applied factorial design to decide the best conditions to perform quantum calculations to obtain the infrared spectra of 46 seized NPFs. A multivariate classification was used to establish the main spectral characteristics of these substances. Similarities between theoretical and experimental spectra were determined through vibrational frequencies comparison, KullbackLeibler divergence, and SIMCA evaluation. The in silico methods provided valuable information about illegal substances and proved helpful in predict the spectroscopic properties of new fentanyl analogous drugs.

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