In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.21577/0103-5053.20200231 http://hdl.handle.net/11449/210085 |
Resumo: | Illicit drugs and their trafficking require worldwide efforts in investigation, detection, and control. Colorimetric tests are often applied to identify drugs. Cocaine has some well-known adulterants that can provide a false positive response. Cucurbit[6]uril (CB[6]) has been suggested as a potential detector for cocaine and other illicit drugs. This work uses in silico methods to evaluate the use of CB[6] to detect cocaine and these interfering substances. More specifically, this work analyzes different possibilities of CB[6] complexation with cocaine, lidocaine, caffeine, and procaine and compares the results achieved for cocaine and its adulterants. Different methodologies were employed: quantum chemistry was investigated through DFT B3LYP/TZVP (density functional theory-Becke, three-parameter, Lee-Yang-Parr with triple zeta valence plus polarization basis set) and the semi-empirical methods Austin model 1 (AM1), parametric methods 3, 6, and 7 (PM3, PM6, PM7), and Recife model 1 (RM1). We used these methodologies intending to compare the reasonability and reproducibility of the results in the gas phase condition. Solvent influence was studied by molecular dynamics (MD) simulations. Results showed that CB[6] does not bind to these substances, as judged from the positive values of binding free energy obtained with all methods. DFT and MD were the most reliable methods whereas semiempirical ones were not reproductible in describing these systems. Results also showed that interactions are not specific, so CB[6] does not provide a good response for cocaine detection. |
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In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procainecucurbit[6]urilcocainelidocainecaffeineprocainein silico methodsIllicit drugs and their trafficking require worldwide efforts in investigation, detection, and control. Colorimetric tests are often applied to identify drugs. Cocaine has some well-known adulterants that can provide a false positive response. Cucurbit[6]uril (CB[6]) has been suggested as a potential detector for cocaine and other illicit drugs. This work uses in silico methods to evaluate the use of CB[6] to detect cocaine and these interfering substances. More specifically, this work analyzes different possibilities of CB[6] complexation with cocaine, lidocaine, caffeine, and procaine and compares the results achieved for cocaine and its adulterants. Different methodologies were employed: quantum chemistry was investigated through DFT B3LYP/TZVP (density functional theory-Becke, three-parameter, Lee-Yang-Parr with triple zeta valence plus polarization basis set) and the semi-empirical methods Austin model 1 (AM1), parametric methods 3, 6, and 7 (PM3, PM6, PM7), and Recife model 1 (RM1). We used these methodologies intending to compare the reasonability and reproducibility of the results in the gas phase condition. Solvent influence was studied by molecular dynamics (MD) simulations. Results showed that CB[6] does not bind to these substances, as judged from the positive values of binding free energy obtained with all methods. DFT and MD were the most reliable methods whereas semiempirical ones were not reproductible in describing these systems. Results also showed that interactions are not specific, so CB[6] does not provide a good response for cocaine detection.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Univ Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Preto, Dept Quim, Ave Bandeirantes 3900, BR-14040901 Ribeirao Preto, SP, BrazilInst Nacl Ciencia & Tecnol Forense INCT Forense, Ave Bandeirantes 3900, BR-14040901 Ribeirao Preto, SP, BrazilUniv Estadual Paulista, Inst Biociencias Letras & Ciencias Exatas, Dept Fis, Rua Cristovao Colombo 2265, BR-15054000 Sao Jose Do Rio Preto, SP, BrazilUniv Estadual Paulista, Inst Biociencias Letras & Ciencias Exatas, Dept Fis, Rua Cristovao Colombo 2265, BR-15054000 Sao Jose Do Rio Preto, SP, BrazilCNPq: 465450/2014-8FAPESP: 2016/19766-1FAPESP: 2016/24587-9CAPES: 001Soc Brasileira QuimicaUniversidade de São Paulo (USP)Inst Nacl Ciencia & Tecnol Forense INCT ForenseUniversidade Estadual Paulista (Unesp)Rodrigues, Caio H. P.Hernandez-Gonzalez, Jorge E. [UNESP]Pedrina, Natalia J.Leite, Vitor B. P.Bruni, Aline T.2021-06-25T12:39:18Z2021-06-25T12:39:18Z2021-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article800-810application/pdfhttp://dx.doi.org/10.21577/0103-5053.20200231Journal Of The Brazilian Chemical Society. Sao Paulo: Soc Brasileira Quimica, v. 32, n. 4, p. 800-810, 2021.0103-5053http://hdl.handle.net/11449/21008510.21577/0103-5053.20200231S0103-50532021000400800WOS:000624347400011S0103-50532021000400800.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of The Brazilian Chemical Societyinfo:eu-repo/semantics/openAccess2023-11-27T06:13:10Zoai:repositorio.unesp.br:11449/210085Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:50:48.618028Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine |
title |
In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine |
spellingShingle |
In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine Rodrigues, Caio H. P. cucurbit[6]uril cocaine lidocaine caffeine procaine in silico methods |
title_short |
In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine |
title_full |
In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine |
title_fullStr |
In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine |
title_full_unstemmed |
In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine |
title_sort |
In silico Evaluation of Cucurbit[6]uril as a Potential Detector for Cocaine and Its Adulterants Lidocaine, Caffeine, and Procaine |
author |
Rodrigues, Caio H. P. |
author_facet |
Rodrigues, Caio H. P. Hernandez-Gonzalez, Jorge E. [UNESP] Pedrina, Natalia J. Leite, Vitor B. P. Bruni, Aline T. |
author_role |
author |
author2 |
Hernandez-Gonzalez, Jorge E. [UNESP] Pedrina, Natalia J. Leite, Vitor B. P. Bruni, Aline T. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Inst Nacl Ciencia & Tecnol Forense INCT Forense Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Rodrigues, Caio H. P. Hernandez-Gonzalez, Jorge E. [UNESP] Pedrina, Natalia J. Leite, Vitor B. P. Bruni, Aline T. |
dc.subject.por.fl_str_mv |
cucurbit[6]uril cocaine lidocaine caffeine procaine in silico methods |
topic |
cucurbit[6]uril cocaine lidocaine caffeine procaine in silico methods |
description |
Illicit drugs and their trafficking require worldwide efforts in investigation, detection, and control. Colorimetric tests are often applied to identify drugs. Cocaine has some well-known adulterants that can provide a false positive response. Cucurbit[6]uril (CB[6]) has been suggested as a potential detector for cocaine and other illicit drugs. This work uses in silico methods to evaluate the use of CB[6] to detect cocaine and these interfering substances. More specifically, this work analyzes different possibilities of CB[6] complexation with cocaine, lidocaine, caffeine, and procaine and compares the results achieved for cocaine and its adulterants. Different methodologies were employed: quantum chemistry was investigated through DFT B3LYP/TZVP (density functional theory-Becke, three-parameter, Lee-Yang-Parr with triple zeta valence plus polarization basis set) and the semi-empirical methods Austin model 1 (AM1), parametric methods 3, 6, and 7 (PM3, PM6, PM7), and Recife model 1 (RM1). We used these methodologies intending to compare the reasonability and reproducibility of the results in the gas phase condition. Solvent influence was studied by molecular dynamics (MD) simulations. Results showed that CB[6] does not bind to these substances, as judged from the positive values of binding free energy obtained with all methods. DFT and MD were the most reliable methods whereas semiempirical ones were not reproductible in describing these systems. Results also showed that interactions are not specific, so CB[6] does not provide a good response for cocaine detection. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T12:39:18Z 2021-06-25T12:39:18Z 2021-04-01 |
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/10.21577/0103-5053.20200231 Journal Of The Brazilian Chemical Society. Sao Paulo: Soc Brasileira Quimica, v. 32, n. 4, p. 800-810, 2021. 0103-5053 http://hdl.handle.net/11449/210085 10.21577/0103-5053.20200231 S0103-50532021000400800 WOS:000624347400011 S0103-50532021000400800.pdf |
url |
http://dx.doi.org/10.21577/0103-5053.20200231 http://hdl.handle.net/11449/210085 |
identifier_str_mv |
Journal Of The Brazilian Chemical Society. Sao Paulo: Soc Brasileira Quimica, v. 32, n. 4, p. 800-810, 2021. 0103-5053 10.21577/0103-5053.20200231 S0103-50532021000400800 WOS:000624347400011 S0103-50532021000400800.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of The Brazilian Chemical Society |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
800-810 application/pdf |
dc.publisher.none.fl_str_mv |
Soc Brasileira Quimica |
publisher.none.fl_str_mv |
Soc Brasileira Quimica |
dc.source.none.fl_str_mv |
Web of Science 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) |
repository.mail.fl_str_mv |
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1808128990173462528 |