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

Detalhes bibliográficos
Autor(a) principal: Sinhorini, Luiz F.C.
Data de Publicação: 2021
Outros Autores: Rodrigues, Caio H.P., Leite, Vitor B.P. [UNESP], Bruni, Aline T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.comptc.2021.113378
http://hdl.handle.net/11449/229236
Resumo: 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, Kullback-Leibler 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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spelling Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methodsDFTFactorial designFentanylMultivariate analysisNon-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, Kullback-Leibler 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Departamento de Química Faculdade de Filosofia Ciências e Letras de Ribeirão Preto Universidade de São PauloInstituto Nacional de Ciência e Tecnologia Forense (INCT Forense) – Departamento de Química Faculdade de Filosofia Ciências e Letras de Ribeirão Preto Universidade de São PauloDepartmento de Física Instituto de Biociências Letras e Ciências Exatas Universidade Estadual Paulista (UNESP)Departmento de Física Instituto de Biociências Letras e Ciências Exatas Universidade Estadual Paulista (UNESP)FAPESP: 2016/19766-1FAPESP: 2019/22540-3CNPq: 310017/2020-3CNPq: 465450/2014-8Universidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Sinhorini, Luiz F.C.Rodrigues, Caio H.P.Leite, Vitor B.P. [UNESP]Bruni, Aline T.2022-04-29T08:31:22Z2022-04-29T08:31:22Z2021-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.comptc.2021.113378Computational and Theoretical Chemistry, v. 1204.2210-271Xhttp://hdl.handle.net/11449/22923610.1016/j.comptc.2021.1133782-s2.0-85111582902Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputational and Theoretical Chemistryinfo:eu-repo/semantics/openAccess2022-04-29T08:31:22Zoai:repositorio.unesp.br:11449/229236Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T08:31:22Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods
title Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods
spellingShingle Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods
Sinhorini, Luiz F.C.
DFT
Factorial design
Fentanyl
Multivariate analysis
title_short Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods
title_full Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods
title_fullStr Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods
title_full_unstemmed Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods
title_sort Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods
author Sinhorini, Luiz F.C.
author_facet Sinhorini, Luiz F.C.
Rodrigues, Caio H.P.
Leite, Vitor B.P. [UNESP]
Bruni, Aline T.
author_role author
author2 Rodrigues, Caio H.P.
Leite, Vitor B.P. [UNESP]
Bruni, Aline T.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Sinhorini, Luiz F.C.
Rodrigues, Caio H.P.
Leite, Vitor B.P. [UNESP]
Bruni, Aline T.
dc.subject.por.fl_str_mv DFT
Factorial design
Fentanyl
Multivariate analysis
topic DFT
Factorial design
Fentanyl
Multivariate analysis
description 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, Kullback-Leibler 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-01
2022-04-29T08:31:22Z
2022-04-29T08:31:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.comptc.2021.113378
Computational and Theoretical Chemistry, v. 1204.
2210-271X
http://hdl.handle.net/11449/229236
10.1016/j.comptc.2021.113378
2-s2.0-85111582902
url http://dx.doi.org/10.1016/j.comptc.2021.113378
http://hdl.handle.net/11449/229236
identifier_str_mv Computational and Theoretical Chemistry, v. 1204.
2210-271X
10.1016/j.comptc.2021.113378
2-s2.0-85111582902
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computational and Theoretical Chemistry
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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