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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

In silico methods in forensic science: Quantum chemistry and multivariate analysis applied to infrared spectra of new amphetamine- and cathinone-derived psychoactive substances

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Author(s):
Bruni, Aline Thais [1, 2] ; Mariz de Carvalho, Pedro Oliveira [3] ; Pinke Rodrigues, Caio Henrique [1] ; Pereira Leite, Vitor Barbanti [4]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Preto, Dept Quim, Sao Paulo, SP - Brazil
[2] Inst Nacl Ciencia & Tecnol Forense INCT Forense, Ribeirao Preto, SP - Brazil
[3] Univ Estadual Campinas, Inst Quim, Campinas, SP - Brazil
[4] Univ Estadual Paulista, Inst Biociencias Letras & Ciencias Exatas, Dept Fis, Sao Paulo, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: FORENSIC CHEMISTRY; v. 9, p. 21-34, JUN 2018.
Web of Science Citations: 2
Abstract

Identifying new psychoactive substances in a reliable manner is an exciting idea in forensic science. In this work, we apply in silico methods to recognize classes of drugs. We calculate the infrared spectra of 21 pairs of amphetamine and cathinone homologs by in silico techniques and compare the theoretical data with the experimental data. First, we submit each molecule to conformational analysis and use the minimum energy structure to determine the frequencies that generate the infrared spectra. We employ three different Density Functional Methods -B3LYP, B3LYP-D3 and M06-2X- and the 6-31G{*}{*} basis set implemented on Gaussian 09 for this purpose. Application of supervised and unsupervised multivariate classification methods to the spectra helps us to evaluate the theoretical results. The in silico procedure adopted herein can predict the infrared values and provides valuable information about unknown substances. Therefore, this methodology could help to create an effective tool to identify unknown psychoactive substances. (C) 2018 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 16/19766-1 - Biological macromolecules energy landscapes with applications in biotechnology and in biomedicine
Grantee:Vitor Barbanti Pereira Leite
Support Opportunities: Regular Research Grants