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Caio Henrique Pinke Rodrigues

Other affiliations: University of São Paulo
Bio: Caio Henrique Pinke Rodrigues is an academic researcher from Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto. The author has contributed to research in topics: Identification (biology) & Chemometrics. The author has an hindex of 2, co-authored 12 publications receiving 16 citations. Previous affiliations of Caio Henrique Pinke Rodrigues include University of São Paulo.

Papers
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Journal ArticleDOI
TL;DR: The in silico procedure adopted herein can predict the infrared values and provides valuable information about unknown substances and could help to create an effective tool to identify unknown psychoactive substances.

8 citations

Journal ArticleDOI
TL;DR: In this article, the development of voltammetric sensors for the oxidation of cocaine hydrochloride on the surface of carbon paste electrodes chemically modified with Schiff base complexes and their potential use for cocaine detection and quantification in seized samples was investigated.

5 citations

Journal ArticleDOI
29 Sep 2021
TL;DR: The main characteristics of each group and certain aspects of presumptive and confirmatory tests regarding these groups are presented, and obstacles in developing methodologies that can correctly identify these substances are shown.
Abstract: Correct identification of substances is essential to understand drug use and trafficking trends and guide measures for harm reduction and treatment. Two steps are needed to verify the nature of a substance properly: a presumptive test and a confirmatory test. There are presumptive tests which presents deficiencies, such as providing false-positive and false-negative results. Confirmatory tests are more reliable, but they are more expensive. With the appearance of New Psychoactive Substances (NPS), identifying and characterizing illicit substances has become more challenging. This paper focuses on presenting information about NPS characteristics and analysis. For this purpose, we have reviewed the literature to address the main aspects of five groups of NPS: amphetamine-type stimulants, synthetic cannabinoids, N-methoxybenzyl-methoxyphenylethylamine (NBOMe), synthetic opioids, and benzodiazepines. We present the main characteristics of each group and certain aspects of presumptive and confirmatory tests regarding these groups. Our findings show obstacles in developing methodologies that can correctly identify these substances, and problems can increase as new structures appear. This information can be helpful to drive research into identifying NPS and inform law enforcement and law practitioners about the main characteristics of each group and the main questions involving their identification.

5 citations

Journal ArticleDOI
TL;DR: In silico methods are an alternative that provides information about the spectra of undetected substances that can help to identify new drugs, to increase knowledge about them, and to feed information procedures.
Abstract: The concept of forensic sciences as mere trace analysis has been modified by the idea of forensic intelligence, which entails applying data to make decisions within the investigative process. Many countries are engaged in combating drug trafficking and drug use because they are related to public health and safety issues. Prohibiting the consumption of traditional drugs has led new psychoactive substances (NPSs) to emerge. NPSs consist of compounds that resemble the initially banned substance and which aim to mimic the traditional drug recreational effects while circumventing drug legislation. For example, synthetic cannabinoids are sprayed on herbal products to reproduce the cannabis recreational effects. According to the United Nations Office on Drugs and Crime (UNODC), the toxic effects of synthetic cannabis types are unknown, and harm and fatalities associated with the use of these drugs have been reported. Information on the characterization related to these species is lacking. The rate at which NPSs appear poses a significant challenge because employing conventional methods to understand the characteristics of these compounds may require time and be costly. This work uses in silico practices as an alternative to understand how NPSs related to cannabis behave. We apply quantum chemistry methods to evaluate several synthetic cannabinoids recognized in forensic samples. More specifically, we generate infrared spectra that can be employed as a benchmark for NPSs. We apply a multivariate classification to evaluate the results. We conclude that in silico methods are an alternative that provide information about the spectra of undetected substances. This information can help to identify new drugs, to increase knowledge about them, and to feed information procedures.

4 citations

Journal ArticleDOI
TL;DR: Qu quantum chemistry tools are employed to simulate NMR spectra and to evaluate, as a paradigm, the main differences between amphetamines and cathinones, to explain how NMR evaluation differs in assessing these molecules and promoting their discrimination in forensic analysis.

4 citations


Cited by
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Journal Article
TL;DR: The development and validation of a fully automated in-line solid-phase extraction-liquid chromatography-tandem mass spectrometry (SPE-LC-MS/MS) method capable of detecting 90 central-stimulating new psychoactive substances (NPS) and 5 conventional amphetamine-type stimulants in serum was given.

27 citations

Journal ArticleDOI
05 Mar 2021-Polymer
TL;DR: In this paper, computer simulation was used to assist in the rapid preparation of molecularly imprinted nanoparticles (myC-MINs), which involved screening the best functional monomers and solvents, determining the optimal polymerization ratio, and estimating the MYC-2-(Trifluoromethyl)acrylic acid (MYC-TFMAA) self-assembly process and its infrared spectrum.

6 citations

Journal ArticleDOI
29 Sep 2021
TL;DR: The main characteristics of each group and certain aspects of presumptive and confirmatory tests regarding these groups are presented, and obstacles in developing methodologies that can correctly identify these substances are shown.
Abstract: Correct identification of substances is essential to understand drug use and trafficking trends and guide measures for harm reduction and treatment. Two steps are needed to verify the nature of a substance properly: a presumptive test and a confirmatory test. There are presumptive tests which presents deficiencies, such as providing false-positive and false-negative results. Confirmatory tests are more reliable, but they are more expensive. With the appearance of New Psychoactive Substances (NPS), identifying and characterizing illicit substances has become more challenging. This paper focuses on presenting information about NPS characteristics and analysis. For this purpose, we have reviewed the literature to address the main aspects of five groups of NPS: amphetamine-type stimulants, synthetic cannabinoids, N-methoxybenzyl-methoxyphenylethylamine (NBOMe), synthetic opioids, and benzodiazepines. We present the main characteristics of each group and certain aspects of presumptive and confirmatory tests regarding these groups. Our findings show obstacles in developing methodologies that can correctly identify these substances, and problems can increase as new structures appear. This information can be helpful to drive research into identifying NPS and inform law enforcement and law practitioners about the main characteristics of each group and the main questions involving their identification.

5 citations

Journal ArticleDOI
TL;DR: In silico methods are an alternative that provides information about the spectra of undetected substances that can help to identify new drugs, to increase knowledge about them, and to feed information procedures.
Abstract: The concept of forensic sciences as mere trace analysis has been modified by the idea of forensic intelligence, which entails applying data to make decisions within the investigative process. Many countries are engaged in combating drug trafficking and drug use because they are related to public health and safety issues. Prohibiting the consumption of traditional drugs has led new psychoactive substances (NPSs) to emerge. NPSs consist of compounds that resemble the initially banned substance and which aim to mimic the traditional drug recreational effects while circumventing drug legislation. For example, synthetic cannabinoids are sprayed on herbal products to reproduce the cannabis recreational effects. According to the United Nations Office on Drugs and Crime (UNODC), the toxic effects of synthetic cannabis types are unknown, and harm and fatalities associated with the use of these drugs have been reported. Information on the characterization related to these species is lacking. The rate at which NPSs appear poses a significant challenge because employing conventional methods to understand the characteristics of these compounds may require time and be costly. This work uses in silico practices as an alternative to understand how NPSs related to cannabis behave. We apply quantum chemistry methods to evaluate several synthetic cannabinoids recognized in forensic samples. More specifically, we generate infrared spectra that can be employed as a benchmark for NPSs. We apply a multivariate classification to evaluate the results. We conclude that in silico methods are an alternative that provide information about the spectra of undetected substances. This information can help to identify new drugs, to increase knowledge about them, and to feed information procedures.

4 citations