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Truta FM, Cruz AG, Dragan AM, Tertis M, Cowen T, Stefan MG, Topala T, Slosse A, Piletska E, Van Durme F, Kiss B, De Wael K, Piletsky SA, Cristea C. Design of smart nanoparticles for the electrochemical detection of 3,4-methylenedioxymethamphetamine to allow in field screening by law enforcement officers. Drug Test Anal 2024; 16:865-878. [PMID: 37991112 DOI: 10.1002/dta.3605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 10/06/2023] [Accepted: 10/30/2023] [Indexed: 11/23/2023]
Abstract
A portable and highly sensitive sensor was designed for the specific detection of 3,4-methyl-enedioxy-methamphetamine (MDMA), in a range of field-testing situations. The sensor can detect MDMA in street samples, even when other controlled substances drugs, or adulterants are present. In this work, we report for the first time a sensor using electroactive molecularly imprinted polymer nanoparticles computationally designed to recognize MDMA and then produced using solid phase synthesis. A composite comprising chitosan, reduced graphene oxide, and molecularly imprinted polymer nanoparticles synthesized for MDMA for the first time was immobilized on screen-printed carbon electrodes. The sensors displayed a satisfactory sensitivity (106.8 nA × μM-1), limit of detection (1.6 nM; 0.31 ng/mL), and recoveries (92-99%). The accuracy of the results was confirmed through validation using Ultra-High Performance Liquid Chromatography coupled with tandem Mass Spectrometry (UPLC-MS/MS). This technology could be used in forensic analysis and make it possible to selectively detect MDMA in street samples.
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Affiliation(s)
- Florina Maria Truta
- Department of Analytical Chemistry, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | | | - Ana-Maria Dragan
- Department of Analytical Chemistry, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Mihaela Tertis
- Department of Analytical Chemistry, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Todd Cowen
- Chemistry Department, University of Leicester, Leicester, UK
| | - Maria-Geogia Stefan
- Department of Toxicology, Faculty of Pharmacy, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Tamara Topala
- Department of General and Inorganic Chemistry, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Amorn Slosse
- Drugs and Toxicology Department, National Institute for Criminalistics and Criminology (NICC), Brussels, Belgium
| | - Elena Piletska
- Chemistry Department, University of Leicester, Leicester, UK
| | - Filip Van Durme
- Drugs and Toxicology Department, National Institute for Criminalistics and Criminology (NICC), Brussels, Belgium
| | - Bela Kiss
- Department of Toxicology, Faculty of Pharmacy, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Karolien De Wael
- A-Sense Lab, University of Antwerp, Antwerp, Belgium
- NANOlab Ctr Excellence, University of Antwerp, Antwerp, Belgium
| | | | - Cecilia Cristea
- Department of Analytical Chemistry, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Lin YC, Chien WC, Wang YX, Wang YH, Yang FS, Tseng LP, Hung JH. PS 2MS: A Deep Learning-Based Prediction System for Identifying New Psychoactive Substances Using Mass Spectrometry. Anal Chem 2024; 96:4835-4844. [PMID: 38488022 PMCID: PMC10974679 DOI: 10.1021/acs.analchem.3c05019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/12/2024] [Accepted: 03/04/2024] [Indexed: 03/27/2024]
Abstract
The rapid proliferation of new psychoactive substances (NPS) poses significant challenges to conventional mass-spectrometry-based identification methods due to the absence of reference spectra for these emerging substances. This paper introduces PS2MS, an AI-powered predictive system designed specifically to address the limitations of identifying the emergence of unidentified novel illicit drugs. PS2MS builds a synthetic NPS database by enumerating feasible derivatives of known substances and uses deep learning to generate mass spectra and chemical fingerprints. When the mass spectrum of an analyte does not match any known reference, PS2MS simultaneously examines the chemical fingerprint and mass spectrum against the putative NPS database using integrated metrics to deduce possible identities. Experimental results affirm the effectiveness of PS2MS in identifying cathinone derivatives within real evidence specimens, signifying its potential for practical use in identifying emerging drugs of abuse for researchers and forensic experts.
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Affiliation(s)
- Yi-Ching Lin
- Department
of Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department
of Laboratory Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Doctoral
Degree Program of Toxicology, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department
of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Wei-Chen Chien
- Department
of Computer Science, National Yang Ming
Chiao Tung University, HsinChu 300, Taiwan
| | - Yu-Xuan Wang
- Department
of Computer Science, National Yang Ming
Chiao Tung University, HsinChu 300, Taiwan
| | - Ying-Hau Wang
- Department
of Computer Science, National Yang Ming
Chiao Tung University, HsinChu 300, Taiwan
| | - Feng-Shuo Yang
- Department
of Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department
of Medicinal and Applied Chemistry, Kaohsiung
Medical University, Kaohsiung 807, Taiwan
| | - Li-Ping Tseng
- Department
of Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Jui-Hung Hung
- Department
of Computer Science, National Yang Ming
Chiao Tung University, HsinChu 300, Taiwan
- Program
in Biomedical Artificial Intelligence, National
Tsing Hua University, HsinChu 300, Taiwan
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3
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Xie Y, She JP, Zheng JX, Salminen K, Sun JJ. Rapid nanomolar detection of Δ 9-tetrahydrocannabinol in biofluids via electrochemical aptamer-based biosensor. Anal Chim Acta 2024; 1295:342304. [PMID: 38355229 DOI: 10.1016/j.aca.2024.342304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 01/15/2024] [Accepted: 01/28/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND The fabrication of sensors capable of achieving rapid, sensitive, and highly selective detection of target molecules in complex fluids is key to realizing their real-world applications. For example, there is an urgent need in drugged driving roadside screening scenarios to develop a method that can be used for rapid drug detection and that avoids interference from the matrix in the sample. How to minimize the interference of complex matrices in biofluids at the electrode interface is the key to improve the sensitivity of the sensor. RESULTS This work develops a facile and green method to prepare rough electrodes with a porous structure for constructing electrochemical aptamer-based (EAB) sensors for rapid, sensitive and accurate detection of Δ9-tetrahydrocannabinol (THC) in biofluids. The electroactive area of the rough electrode was 21 times of smooth electrode. And the antifouling performance of the rough electrode was much better than that of smooth electrode. Based on the unique advantages of the rough electrode, the developed EAB sensor achieves rapid nanomolar detection of THC in undiluted serum, undiluted urine and 50 % saliva with the detection limit of 5.0 nM, 10 nM and 10 nM, respectively. Moreover, our method possesses good reproducibility, accuracy and specificity. SIGNIFICANCE The porous structure can effectively reduce the non-specific adsorption and enhance the stability of the signal, while the larger active area can modify more aptamers, thus improving the sensitivity. The detection limits of the EAB sensor were lower than the cutoff concentration of THC in drugged driving and the measuring process was completed within 60 s after target addition, which makes the present sensors capable for real-world applications.
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Affiliation(s)
- Yu Xie
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, 350116, China; College of Chemistry and Chemical Engineering, Jinggangshan University, Ji'an 343009, China
| | - Jin-Ping She
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, 350116, China
| | - Jia-Xing Zheng
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, 350116, China
| | - Kalle Salminen
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, 350116, China
| | - Jian-Jun Sun
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, 350116, China.
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Zhu C, Ren C, Jiang W, Liu D, Huang Y, Wang W, Chang K, Zhu L, Wang Q. A versatile SERS platform based on conductive MOF-enforced carbon paper for rapidly and sensitively monitoring diazepam in aquatic products. Food Chem 2024; 435:137608. [PMID: 37788540 DOI: 10.1016/j.foodchem.2023.137608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/06/2023] [Accepted: 09/25/2023] [Indexed: 10/05/2023]
Abstract
Herein, a versatile surface enhanced Raman scattering (SERS) platform was firstly constructed by integrating conductive metal organic framework (CMOF) with controlled electrodeposition of Au nanoparticles (Au NPs) on flexible carbon paper (CP-CMOF@Au) for sensitively recognizing diazepam (DZP) in aquatic products. The CMOF not only provided a pre-concentration effect for boosting sensitivity, but also dramatically improved the intrinsic electrical conductivity contributing to homogeneous distribution of Au NPs and forming SERS-active "hot spot" with superior stability and reproducibility. Based on CP-CMOF@Au chip, DZP can be sensitively detected with low limit of detection of 0.64 ng mL-1 and wide linear detection range from 0.001 to 10 μg mL-1. Also, DZP in aquatic products can be collected and recognized using multiple approaches (drip coating, soaking and wiping) with excellent reusability and satisfactory recovery of 85.8-103.3%. This method would provide an ingenious SERS strategy for rapidly monitoring DZP in aquatic products with good practical applicability.
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Affiliation(s)
- Chengke Zhu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, College of Fisheries, Southwest University, Chongqing 400715, China
| | - Chaoying Ren
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, College of Fisheries, Southwest University, Chongqing 400715, China
| | - Wenshan Jiang
- Key Laboratory of Food Nutrition and Healthy in Universities of Shandong, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China
| | - Dan Liu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, College of Fisheries, Southwest University, Chongqing 400715, China
| | - Yiyang Huang
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, College of Fisheries, Southwest University, Chongqing 400715, China
| | - Wenjie Wang
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, College of Fisheries, Southwest University, Chongqing 400715, China
| | - Kuan Chang
- Key Laboratory of Food Nutrition and Healthy in Universities of Shandong, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China
| | - Long Zhu
- College of Marine Science and Fisheries, Jiangsu Ocean University, Lianyungang, Jiangsu 222005, China
| | - Qinzhi Wang
- Key Laboratory of Food Nutrition and Healthy in Universities of Shandong, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China.
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5
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Clément P, Schlage WK, Hoeng J. Recent advances in the development of portable technologies and commercial products to detect Δ 9-tetrahydrocannabinol in biofluids: a systematic review. J Cannabis Res 2024; 6:9. [PMID: 38414071 PMCID: PMC10898188 DOI: 10.1186/s42238-024-00216-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 01/31/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND The primary components driving the current commercial fascination with cannabis products are phytocannabinoids, a diverse group of over 100 lipophilic secondary metabolites derived from the cannabis plant. Although numerous phytocannabinoids exhibit pharmacological effects, the foremost attention has been directed towards Δ9-tetrahydrocannabinol (THC) and cannabidiol, the two most abundant phytocannabinoids, for their potential human applications. Despite their structural similarity, THC and cannabidiol diverge in terms of their psychotropic effects, with THC inducing notable psychological alterations. There is a clear need for accurate and rapid THC measurement methods that offer dependable, readily accessible, and cost-effective analytical information. This review presents a comprehensive view of the present state of alternative technologies that could potentially facilitate the creation of portable devices suitable for on-site usage or as personal monitors, enabling non-intrusive THC measurements. METHOD A literature survey from 2017 to 2023 on the development of portable technologies and commercial products to detect THC in biofluids was performed using electronic databases such as PubMed, Scopus, and Google Scholar. A systematic review of available literature was conducted using Preferred Reporting Items for Systematic. Reviews and Meta-analysis (PRISMA) guidelines. RESULTS Eighty-nine studies met the selection criteria. Fifty-seven peer-reviewed studies were related to the detection of THC by conventional separation techniques used in analytical laboratories that are still considered the gold standard. Studies using optical (n = 12) and electrochemical (n = 13) portable sensors and biosensors were also identified as well as commercially available devices (n = 7). DISCUSSION The landscape of THC detection technology is predominantly shaped by immunoassay tests, owing to their established reliability. However, these methods have distinct drawbacks, particularly for quantitative analysis. Electrochemical sensing technology holds great potential to overcome the challenges of quantification and present a multitude of advantages, encompassing the possibility of miniaturization and diverse modifications to amplify sensitivity and selectivity. Nevertheless, these sensors have considerable limitations, including non-specific interactions and the potential interference of compounds and substances existing in biofluids. CONCLUSION The foremost challenge in THC detection involves creating electrochemical sensors that are both stable and long-lasting while exhibiting exceptional selectivity, minimal non-specific interactions, and decreased susceptibility to matrix interferences. These aspects need to be resolved before these sensors can be successfully introduced to the market.
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Affiliation(s)
- Pierrick Clément
- Centre Suisse d'Electronique Et de Microtechnique SA (CSEM), Rue Jaquet-Droz 1, 2002, Neuchâtel, Switzerland.
| | - Walter K Schlage
- Biology Consultant, Max-Baermann-Strasse 21, 51429, Bergisch Gladbach, Germany
| | - Julia Hoeng
- Biology Consultant, Max-Baermann-Strasse 21, 51429, Bergisch Gladbach, Germany
- Vectura Fertin Pharma, C/O Jagotec AG, Messeplatz 10, 4058, Basel, Switzerland
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6
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Gibi C, Liu CH, Anandan S, Wu JJ. Recent Advances on Electrochemical Sensors for Detection of Contaminants of Emerging Concern (CECs). Molecules 2023; 28:7916. [PMID: 38067644 PMCID: PMC10707923 DOI: 10.3390/molecules28237916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 11/22/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
Contaminants of Emerging Concern (CECs), a new category of contaminants currently in the limelight, are a major issue of global concern. The pervasive nature of CECs and their harmful effects, such as cancer, reproductive disorders, neurotoxicity, etc., make the situation alarming. The perilous nature of CECs lies in the fact that even very small concentrations of CECs can cause great impacts on living beings. They also have a nature of bioaccumulation. Thus, there is a great need to have efficient sensors for the detection of CECs to ensure a safe living environment. Electrochemical sensors are an efficient platform for CEC detection as they are highly selective, sensitive, stable, reproducible, and prompt, and can detect very low concentrations of the analyte. Major classes of CECs are pharmaceuticals, illicit drugs, personal care products, endocrine disruptors, newly registered pesticides, and disinfection by-products. This review focusses on CECs, including their sources and pathways, health effects caused by them, and electrochemical sensors as reported in the literature under each category for the detection of major CECs.
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Affiliation(s)
- Chinchu Gibi
- Department of Environmental Engineering and Science, Feng Chia University, Taichung 407, Taiwan; (C.G.); (C.-H.L.)
| | - Cheng-Hua Liu
- Department of Environmental Engineering and Science, Feng Chia University, Taichung 407, Taiwan; (C.G.); (C.-H.L.)
| | - Sambandam Anandan
- Department of Chemistry, National Institute of Technology, Trichy 620015, India;
| | - Jerry J. Wu
- Department of Environmental Engineering and Science, Feng Chia University, Taichung 407, Taiwan; (C.G.); (C.-H.L.)
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Anzar N, Suleman S, Singh Y, Parvez S, Khanuja M, Pilloton R, Narang J. Wearable Electrochemical Glove-Based Analytical Device (eGAD) for the Detection of Methamphetamine Employing Silver Nanoparticles. BIOSENSORS 2023; 13:934. [PMID: 37887127 PMCID: PMC10605403 DOI: 10.3390/bios13100934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/29/2023] [Accepted: 10/13/2023] [Indexed: 10/28/2023]
Abstract
Illicit drug misuse has become a widespread issue that requires continuous drug monitoring and diagnosis. Wearable electrochemical drug detection devices possess the potential to function as potent screening instruments in the possession of law enforcement personnel, aiding in the fight against drug trafficking and facilitating forensic investigations conducted on site. These wearable sensors are promising alternatives to traditional detection methods. In this study, we present a novel wearable electrochemical glove-based analytical device (eGAD) designed especially for detecting the club drug, methamphetamine. To develop this sensor, we immobilized meth aptamer onto silver nanoparticle (AgNPs)-modified electrodes that were printed onto latex gloves. The characteristics of AgNPs, including their shape, size and purity were analysed using FTIR, SEM and UV vis spectrometry, confirming the successful synthesis. The developed sensor shows a 0.1 µg/mL limit of detection and 0.3 µg/mL limit of quantification with a linear concentration range of about 0.01-5 µg/mL and recovery percentages of approximately 102 and 103%, respectively. To demonstrate its applicability, we tested the developed wearable sensor by spiking various alcoholic and non-alcoholic drink samples. We found that the sensor remains effective for 60 days, making it a practical option with a reasonable shelf-life. The developed sensor offers several advantages, including its affordability, ease of handling and high sensitivity and selectivity. Its portable nature makes it an ideal tool for rapid detection of METH in beverages too.
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Affiliation(s)
- Nigar Anzar
- Department of Biotechnology, School of Chemical and Life Science, Jamia Hamdard University, New Delhi 110062, India; (N.A.); (S.S.); (Y.S.)
| | - Shariq Suleman
- Department of Biotechnology, School of Chemical and Life Science, Jamia Hamdard University, New Delhi 110062, India; (N.A.); (S.S.); (Y.S.)
| | - Yashda Singh
- Department of Biotechnology, School of Chemical and Life Science, Jamia Hamdard University, New Delhi 110062, India; (N.A.); (S.S.); (Y.S.)
| | - Suhel Parvez
- Department of Toxicology, School of Chemical and Life Science, Jamia Hamdard University, New Delhi 110062, India;
| | - Manika Khanuja
- Centre for Nanoscience and Nanotechnology, Jamia Millia Islamia, New Delhi 110025, India;
| | - Roberto Pilloton
- Institute of Crystallography, National Research Council (CNR-IC), 00015 Rome, Italy
| | - Jagriti Narang
- Department of Biotechnology, School of Chemical and Life Science, Jamia Hamdard University, New Delhi 110062, India; (N.A.); (S.S.); (Y.S.)
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8
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Beduk D, Beduk T, de Oliveira Filho JI, Ait Lahcen A, Aldemir E, Guler Celik E, Salama KN, Timur S. Smart Multiplex Point-of-Care Platform for Simultaneous Drug Monitoring. ACS APPLIED MATERIALS & INTERFACES 2023; 15:37247-37258. [PMID: 37499237 PMCID: PMC10416146 DOI: 10.1021/acsami.3c06461] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/14/2023] [Indexed: 07/29/2023]
Abstract
Recently, illicit drug use has become more widespread and is linked to problems with crime and public health. These drugs disrupt consciousness, affecting perceptions and feelings. Combining stimulants and depressants to suppress the effect of drugs has become the most common reason for drug overdose deaths. On-site platforms for illicit-drug detection have gained an important role in dealing, without any excess equipment, long process, and training, with drug abuse and drug trafficking. Consequently, the development of rapid, sensitive, noninvasive, and reliable multiplex drug-detecting platforms has become a major necessity. In this study, a multiplex laser-scribed graphene (LSG) sensing platform with one counter, one reference, and three working electrodes was developed for rapid and sensitive electrochemical detection of amphetamine (AMP), cocaine (COC), and benzodiazepine (BZD) simultaneously in saliva samples. The multidetection sensing system was combined with a custom-made potentiostat to achieve a complete point-of-care (POC) platform. Smartphone integration was achieved by a customized application to operate, display, and send data. To the best of our knowledge, this is the first multiplex LSG-based electrochemical platform designed for illicit-drug detection with a custom-made potentiostat device to build a complete POC platform. Each working electrode was optimized with standard solutions of AMP, COC, and BZD in the concentration range of 1.0 pg/mL-500 ng/mL. The detection limit of each illicit drug was calculated as 4.3 ng/mL for AMP, 9.7 ng/mL for BZD, and 9.0 ng/mL for COC. Healthy and MET (methamphetamine) patient saliva samples were used for the clinical study. The multiplex LSG sensor was able to detect target analytes in real saliva samples successfully. This multiplex detection device serves the role of a practical and affordable alternative to conventional drug-detection methods by combining multiple drug detections in one portable platform.
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Affiliation(s)
- Duygu Beduk
- Central
Research Test and Analysis Laboratory Application and Research Center, Ege University, 35100 Bornova, Izmir, Turkey
| | - Tutku Beduk
- Silicon
Austria Labs (SAL) GmbH, Europastraße 12, 9500 Villach, Austria
- Sensors
Lab, Advanced Membranes and Porous Materials Center, Computer, Electrical,
and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - José Ilton de Oliveira Filho
- Sensors
Lab, Advanced Membranes and Porous Materials Center, Computer, Electrical,
and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Abdellatif Ait Lahcen
- Department
of Radiology, Weill Cornell Medicine, Dalio
Institute for Cardiovascular Imaging, New York, New York 10021, United States
| | - Ebru Aldemir
- Department
of Psychiatry, Faculty of Medicine, Izmir
Tinaztepe University, 35400 Buca, Izmir, Turkey
| | - Emine Guler Celik
- Department
of Bioengineering, Faculty of Engineering, Ege University, 35100 Bornova, Izmir, Turkey
| | - Khaled Nabil Salama
- Sensors
Lab, Advanced Membranes and Porous Materials Center, Computer, Electrical,
and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Suna Timur
- Central
Research Test and Analysis Laboratory Application and Research Center, Ege University, 35100 Bornova, Izmir, Turkey
- Department
of Biochemistry, Faculty of Science, Ege
University, 35100 Bornova, Izmir, Turkey
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9
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Affiliation(s)
- David Love
- United States Drug Enforcement Administration, Special Testing and Research Laboratory, USA
| | - Nicole S. Jones
- RTI International, Applied Justice Research Division, Center for Forensic Sciences, 3040 E. Cornwallis Road, Research Triangle Park, NC, 22709-2194, USA
- 70113 Street, N.W., Suite 750, Washington, DC, 20005-3967, USA
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10
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González-Hernández J, Moya-Alvarado G, Alvarado-Gámez AL, Urcuyo R, Barquero-Quirós M, Arcos-Martínez MJ. Electrochemical biosensor for quantitative determination of fentanyl based on immobilized cytochrome c on multi-walled carbon nanotubes modified screen-printed carbon electrodes. Mikrochim Acta 2022; 189:483. [DOI: 10.1007/s00604-022-05578-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/14/2022] [Indexed: 12/02/2022]
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11
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Detection of 3,4-Methylene Dioxy Amphetamine in Urine by Magnetically Improved Surface-Enhanced Raman Scattering Sensing Strategy. BIOSENSORS 2022; 12:bios12090711. [PMID: 36140096 PMCID: PMC9496583 DOI: 10.3390/bios12090711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/22/2022] [Accepted: 08/22/2022] [Indexed: 11/17/2022]
Abstract
Abuse of illicit drugs has become a major issue of global concern. As a synthetic amphetamine analog, 3,4-Methylene Dioxy Amphetamine (MDA) causes serotonergic neurotoxicity, posing a serious risk to human health. In this work, a two-dimensional substrate of ITO/Au is fabricated by transferring Au nanoparticle film onto indium–tin oxide glass (ITO). By magnetic inducing assembly of Fe3O4@Au onto ITO/Au, a sandwich-based, surface-enhanced Raman scattering (SERS) detection strategy is designed. Through the use of an external magnet, the MDA is retained in the region of hot spots formed between Fe3O4@Au and ITO/Au; as a result, the SERS sensitivity for MDA is superior compared to other methods, lowering the limit of detection (LOD) to 0.0685 ng/mL and attaining a corresponding linear dynamic detection range of 5–105 ng/mL. As an actual application, this magnetically improved SERS sensing strategy is successfully applied to distinguish MDA in urine at trace level, which is beneficial to clinical and forensic monitors.
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12
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Hu R, Yan Y, Jiang L, Huang C, Shen X. Determination of total cathinones with a single molecularly imprinted fluorescent sensor assisted by electromembrane microextraction. Mikrochim Acta 2022; 189:324. [PMID: 35939150 DOI: 10.1007/s00604-022-05405-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/04/2022] [Indexed: 11/29/2022]
Abstract
An electromembrane microextraction (EME)-assisted fluorescent molecularly imprinted polymer (MIP) sensing method is presented for detecting the total cathinone drugs in urine samples. In this detection system, the clean-up ability of EME eliminated the matrix effects on both target binding with MIPs and the luminescence of the fluorophore in the sensor. Moreover, by optimizing the extraction conditions of EME, different cathinone drugs with a same concentration show a same response on the single aggregation induced emission (AIE) based MIP (AIE-MIP) sensor (λex = 360 nm, λem = 467 nm). The recoveries were 57.9% for cathinone (CAT) and 78.2% for methcathinone (MCAT). The EME-assisted "light-up" AIE-MIP sensing method displayed excellent performance with a linear range of 2.0-12.0 μmol L-1 and a linear determination coefficient (R2) of 0.99. The limit of detection (LOD) value for EME-assisted "light-up" AIE-MIP sensing method was 0.3 μmol L-1. The relative standard deviation (RSD) values for the detection were found to be within the range 2.0-12.0%. To the best of our knowledge, this is the first time that determination of total illicit drugs with a single fluorescent MIP sensor was achieved and also the first utilization of sample preparation to tune the sensing signal of the sensor to be reported. We believe that this versatile combination of fluorescent MIP sensor and sample preparation can be used as a common protocol for sensing the total amount of a group of analytes in various fields.
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Affiliation(s)
- Rong Hu
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, China
| | - Yibo Yan
- Department of Forensic Medicine, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, China
| | - Long Jiang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, China
| | - Chuixiu Huang
- Department of Forensic Medicine, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, China.
| | - Xiantao Shen
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, China.
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Puiu M, Bala C. Affinity Assays for Cannabinoids Detection: Are They Amenable to On-Site Screening? BIOSENSORS 2022; 12:608. [PMID: 36005003 PMCID: PMC9405638 DOI: 10.3390/bios12080608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/27/2022] [Accepted: 08/04/2022] [Indexed: 12/02/2022]
Abstract
Roadside testing of illicit drugs such as tetrahydrocannabinol (THC) requires simple, rapid, and cost-effective methods. The need for non-invasive detection tools has led to the development of selective and sensitive platforms, able to detect phyto- and synthetic cannabinoids by means of their main metabolites in breath, saliva, and urine samples. One may estimate the time passed from drug exposure and the frequency of use by corroborating the detection results with pharmacokinetic data. In this review, we report on the current detection methods of cannabinoids in biofluids. Fluorescent, electrochemical, colorimetric, and magnetoresistive biosensors will be briefly overviewed, putting emphasis on the affinity formats amenable to on-site screening, with possible applications in roadside testing and anti-doping control.
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Affiliation(s)
- Mihaela Puiu
- R&D Center LaborQ, University of Bucharest, 4-12 Regina Elisabeta Blvd., 030018 Bucharest, Romania
| | - Camelia Bala
- R&D Center LaborQ, University of Bucharest, 4-12 Regina Elisabeta Blvd., 030018 Bucharest, Romania
- Department of Analytical Chemistry, University of Bucharest, 4-12 Regina Elisabeta Blvd., 030018 Bucharest, Romania
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