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Macedo AA, Arantes LC, Pimentel DM, de Deus Melo T, Magalhães de Almeida Melo L, Alves de Barros W, Rocha CM, de Fátima Â, Pio Dos Santos WT. Comprehensive detection of lysergic acid diethylamide (LSD) in forensic samples using carbon nanotube screen-printed electrodes. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:5837-5845. [PMID: 37874181 DOI: 10.1039/d3ay01385e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Lysergic acid diethylamide (LSD) is a prevalent psychoactive substance recognized for its hallucinogenic properties, often encountered in blotter papers for illicit consumption. Given that LSD ranks among the most widely abused illicit drugs globally, its prompt identification in seized samples is vital for forensic investigations. This study presents, for the first time, an electrochemical screening method for detecting LSD in forensic samples, utilizing a multi-wall carbon nanotube screen-printed electrode (SPE-MWCNT). The LSD detection process was optimized on SPE-MWCNT in a phosphate buffer solution (0.1 mol L-1, pH 12.0) using square wave voltammetry (SWV). The combined use of SPE-MWCNT with SWV displayed robust stability in electrochemical responses for both qualitative (peak potential) and quantitative (peak current) LSD assessment, with a relative standard deviation (RSD) of less than 5% across the same or different electrodes (N = 3). A linear detection range was established between 0.16 and 40.0 μmol L-1 (R2 = 0.998), featuring a low limit of detection (LOD) of 0.05 μmol L-1. Interference studies with twenty-three other substances, including groups of phenethylamines typically found in blotting papers (e.g., NBOHs and NBOMes) and traditional illicit drugs, were performed, revealing a highly selective response for LSD using the proposed method. Consequently, the integration of SPE-MWCNT with SWV offers a robust tool for qualitative and quantitative LSD analysis in forensic applications, providing rapid, sensitive, selective, reproducible, and straightforward preliminary identification in seized samples.
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Affiliation(s)
- Anne Alves Macedo
- Departamento de Química, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Campus JK, Diamantina, 39100000, Minas Gerais, Brazil.
| | - Luciano C Arantes
- Laboratório de Química e Física Forense, Instituto de Criminalística, Polícia Civil do Distrito Federal, 70610-907, Brasília, Distrito Federal, Brazil
| | - Dilton Martins Pimentel
- Laboratório Integrado de Pesquisas do Vale do Jequitinhonha, Pró-Reitoria de Pesquisa e Pós-Graduação, Universidade Federal dos Vales do Jequitinhonha e Mucuri, CampusJK, 39100000 Diamantina, Minas Gerais, Brazil
| | - Tifany de Deus Melo
- Departamento de Farmácia, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Campus JK, 39100000, Diamantina, Minas Gerais, Brazil
| | - Larissa Magalhães de Almeida Melo
- Departamento de Química, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Campus JK, Diamantina, 39100000, Minas Gerais, Brazil.
| | - Wellington Alves de Barros
- Departamento de Química, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, Minas Gerais, Brazil
| | - Cláudia Mancilha Rocha
- Departamento de Química, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, Minas Gerais, Brazil
| | - Ângelo de Fátima
- Departamento de Química, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, Minas Gerais, Brazil
| | - Wallans Torres Pio Dos Santos
- Departamento de Química, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Campus JK, Diamantina, 39100000, Minas Gerais, Brazil.
- Laboratório Integrado de Pesquisas do Vale do Jequitinhonha, Pró-Reitoria de Pesquisa e Pós-Graduação, Universidade Federal dos Vales do Jequitinhonha e Mucuri, CampusJK, 39100000 Diamantina, Minas Gerais, Brazil
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Qian L, Durairaj S, Prins S, Chen A. Nanomaterial-based electrochemical sensors and biosensors for the detection of pharmaceutical compounds. Biosens Bioelectron 2020; 175:112836. [PMID: 33272868 DOI: 10.1016/j.bios.2020.112836] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 11/16/2020] [Accepted: 11/20/2020] [Indexed: 01/13/2023]
Abstract
The surging growth of the pharmaceutical industry is a result of the rapidly increasing human population, which has inevitably led to new biomedical and environmental issues. Aside from the quality control of pharmaceutical production and drug delivery, there is an urgent need for precise, sensitive, portable, and cost-effective technologies to track patient overdosing and to monitor ambient water sources and wastewater for pharmaceutical pollutants. The development of advanced nanomaterial-based electrochemical sensors and biosensors for the detection of pharmaceutical compounds has garnered immense attention due to their advantages, such as high sensitivity and selectivity, real-time monitoring, and ease of use. This review article surveys state-of-the-art nanomaterials-based electrochemical sensors and biosensors for the detection and quantification of six classes of significant pharmaceutical compounds, including anti-inflammatory, anti-depressant, anti-bacterial, anti-viral, anti-fungal, and anti-cancer drugs. Important factors such as sensor/analyte interactions, design rationale, fabrication, characterization, sensitivity, and selectivity are discussed. Strategies for the development of high-performance electrochemical sensors and biosensors tailored toward specific pharmaceuticals are highlighted to provide readers and scientists with an extensive toolbox for the detection of a wide range of pharmaceuticals. Our aims are two-fold: (i) to inspire readers by further elucidating the properties and functionalities of existing nanomaterials for the detection of pharmaceuticals; and (ii) to provide examples of the potential opportunities that these devices have for the advanced sensing of pharmaceutical compounds toward safeguarding human health and ecosystems on a global scale.
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Affiliation(s)
- Lanting Qian
- Electrochemical Technology Centre, Department of Chemistry, University of Guelph, 50 Stone Road East, Guelph, Ontario, N1G 21, Canada
| | - Sharmila Durairaj
- Electrochemical Technology Centre, Department of Chemistry, University of Guelph, 50 Stone Road East, Guelph, Ontario, N1G 21, Canada
| | - Scott Prins
- Electrochemical Technology Centre, Department of Chemistry, University of Guelph, 50 Stone Road East, Guelph, Ontario, N1G 21, Canada
| | - Aicheng Chen
- Electrochemical Technology Centre, Department of Chemistry, University of Guelph, 50 Stone Road East, Guelph, Ontario, N1G 21, Canada.
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