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Jiang QY, Zhang Y, Sun Y, Wang LX, Mao Z, Pian C, Huang P, Chen F, Cao Y. On-site SERS analysis and intelligent multi-identification of fentanyl class substances by deep machine learning. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2025; 325:125090. [PMID: 39260236 DOI: 10.1016/j.saa.2024.125090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 08/15/2024] [Accepted: 09/02/2024] [Indexed: 09/13/2024]
Abstract
As the types of fentanyl class substances continue to grow, a universal SERS sensor is essential for the application of discriminant detection of fentanyl substances. A new nanomaterial SERS sensor-Ag@Au NPs-paper was developed. The SERS sensitivity and stability of Ag@Au NPs-paper were investigated by using R6G molecule, and the results showed that Ag@Au NPs-paper has excellent performance. In combination with visual analysis and machine learning methods, Ag@Au NPs-paper has been successfully applied to the analysis of fentanyl class substances and the component identification of binary fentanyl mixtures, and thus it can be effectively used in food safety, environmental toxicants and other fields.
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Affiliation(s)
- Qiao-Yan Jiang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, China (Academy of Forensic Science), Shanghai 200063, China; Department of Pathology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou 317000, Zhejiang, China
| | - Yuan Zhang
- College of Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Yang Sun
- Department of Forensic Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Li-Xiang Wang
- Department of Forensic Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Zhengsheng Mao
- Department of Forensic Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Cong Pian
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, Jiangsu, China.
| | - Ping Huang
- Institute of Forensic Science, Fudan University, 200433, China
| | - Feng Chen
- Department of Forensic Medicine, Nanjing Medical University, Nanjing 211166, China.
| | - Yue Cao
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, China (Academy of Forensic Science), Shanghai 200063, China; Department of Forensic Medicine, Nanjing Medical University, Nanjing 211166, China.
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2
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Zhou J, Ding S, Sandhu SS, Chang AY, Taechamahaphan A, Gudekar S, Wang J. Submersible voltammetric sensing probe for rapid and extended remote monitoring of opioids in community water systems. Mikrochim Acta 2024; 191:463. [PMID: 38995455 PMCID: PMC11245449 DOI: 10.1007/s00604-024-06520-z] [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: 05/06/2024] [Accepted: 06/19/2024] [Indexed: 07/13/2024]
Abstract
The intensifying global opioid crisis, majorly attributed to fentanyl (FT) and its analogs, has necessitated the development of rapid and ultrasensitive remote/on-site FT sensing modalities. However, current approaches for tracking FT exposure through wastewater-based epidemiology (WBE) are unadaptable, time-consuming, and require trained professionals. Toward developing an extended in situ wastewater opioid monitoring system, we have developed a screen-printed electrochemical FT sensor and integrated it with a customized submersible remote sensing probe. The sensor composition and design have been optimized to address the challenges for extended in situ FT monitoring. Specifically, ZIF-8 metal-organic framework (MOF)-derived mesoporous carbon (MPC) nanoparticles (NPs) are incorporated in the screen-printed carbon electrode (SPCE) transducer to improve FT accumulation and its electrocatalytic oxidation. A rapid (10 s) and sensitive square wave voltammetric (SWV) FT detection down to 9.9 µgL-1 is thus achieved in aqueous buffer solution. A protective mixed-matrix membrane (MMM) has been optimized as the anti-fouling sensor coating to mitigate electrode passivation by FT oxidation products and enable long-term, intermittent FT monitoring. The unique MMM, comprising an insulating polyvinyl chloride (PVC) matrix and carboxyl-functionalized multi-walled carbon nanotubes (CNT-COOH) as semiconductive fillers, yielded highly stable FT sensor operation (> 95% normalized response) up to 10 h in domestic wastewater, and up to 4 h in untreated river water. This sensing platform enables wireless data acquisition on a smartphone via Bluetooth. Such effective remote operation of submersible opioid sensing probes could enable stricter surveillance of community water systems toward timely alerts, countermeasures, and legal enforcement.
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Affiliation(s)
- Jiachi Zhou
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Shichao Ding
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Samar S Sandhu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - An-Yi Chang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Anubhap Taechamahaphan
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Shipra Gudekar
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Joseph Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, 92093, USA.
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3
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Sherard MM, Kaplan JS, Simpson JH, Kittredge KW, Leopold MC. Functionalized Gold Nanoparticles and Halogen Bonding Interactions Involving Fentanyl and Fentanyl Derivatives. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:917. [PMID: 38869542 PMCID: PMC11173406 DOI: 10.3390/nano14110917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 05/14/2024] [Accepted: 05/19/2024] [Indexed: 06/14/2024]
Abstract
Fentanyl (FTN) and synthetic analogs of FTN continue to ravage populations across the globe, including in the United States where opioids are increasingly being used and abused and are causing a staggering and growing number of overdose deaths each year. This growing pandemic is worsened by the ease with which FTN can be derivatized into numerous derivatives. Understanding the chemical properties/behaviors of the FTN class of compounds is critical for developing effective chemical detection schemes using nanoparticles (NPs) to optimize important chemical interactions. Halogen bonding (XB) is an intermolecular interaction between a polarized halogen atom on a molecule and e--rich sites on another molecule, the latter of which is present at two or more sites on most fentanyl-type structures. Density functional theory (DFT) is used to identify these XB acceptor sites on different FTN derivatives. The high toxicity of these compounds necessitated a "fragmentation" strategy where smaller, non-toxic molecules resembling parts of the opioids acted as mimics of XB acceptor sites present on intact FTN and its derivatives. DFT of the fragments' interactions informed solution measurements of XB using 19F NMR titrations as well as electrochemical measurements of XB at self-assembled monolayer (SAM)-modified electrodes featuring XB donor ligands. Gold NPs, known as monolayer-protected clusters (MPCs), were also functionalized with strong XB donor ligands and assembled into films, and their interactions with FTN "fragments" were studied using voltammetry. Ultimately, spectroscopy and TEM analysis were combined to study whole-molecule FTN interactions with the functionalized MPCs in solution. The results suggested that the strongest XB interaction site on FTN, while common to most of the drug's derivatives, is not strong enough to induce NP-aggregation detection but may be better exploited in sensing schemes involving films.
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Affiliation(s)
- Molly M. Sherard
- Department of Chemistry, Gottwald Center for the Sciences, University of Richmond, Richmond, VA 23173, USA; (M.M.S.); (J.S.K.); (J.H.S.)
| | - Jamie S. Kaplan
- Department of Chemistry, Gottwald Center for the Sciences, University of Richmond, Richmond, VA 23173, USA; (M.M.S.); (J.S.K.); (J.H.S.)
| | - Jeffrey H. Simpson
- Department of Chemistry, Gottwald Center for the Sciences, University of Richmond, Richmond, VA 23173, USA; (M.M.S.); (J.S.K.); (J.H.S.)
| | - Kevin W. Kittredge
- Department of Chemistry, Joan P. Brock School of Math and Natural Sciences, Virginia Wesleyan College, Virginia Beach, VA 23455, USA;
| | - Michael C. Leopold
- Department of Chemistry, Gottwald Center for the Sciences, University of Richmond, Richmond, VA 23173, USA; (M.M.S.); (J.S.K.); (J.H.S.)
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4
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Marenco A, Pillai RG, Harris KD, Chan NWC, Jemere AB. Electrochemical Determination of Fentanyl Using Carbon Nanofiber-Modified Electrodes. ACS OMEGA 2024; 9:17592-17601. [PMID: 38645354 PMCID: PMC11024940 DOI: 10.1021/acsomega.4c00816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/21/2024] [Accepted: 03/27/2024] [Indexed: 04/23/2024]
Abstract
In this work, we report the direct electrochemical oxidation of fentanyl using commercial screen-printed carbon electrodes (SPCEs) modified with carboxyl-functionalized carbon nanofibers (fCNFs). CNFs have surface chemistry and reactivity similar to carbon nanotubes (CNTs), yet they are easier to produce and are of a lower cost than CNTs. By monitoring the current produced during the electrochemical oxidation of fentanyl, variables such as fCNF loading, fentanyl accumulation time, electrolyte pH, and differential pulse voltammetry parameters were optimized. Under an optimized set of conditions, the fCNF/SPCEs responded linearly to fentanyl in the concentration range of 0.125-10 μM, with a limit of detection of 75 nM. The fCNF/SPCEs also demonstrated excellent selectivity against common cutting agents found in illicit drugs (e.g., glucose, sucrose, caffeine, acetaminophen, and theophylline) and interferents found in biological samples (e.g., ascorbic acid, NaCl, urea, creatinine, and uric acid). The performance of the sensor was also successfully tested using fentanyl spiked into an artificial urine sample. The straightforward electrode assembly process, low cost, ease of use, and rapid response make the fCNF/SPCEs prime candidates for the detection of fentanyl in both physiological samples and street drugs.
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Affiliation(s)
- Armando
J. Marenco
- National
Research Council Canada—Nanotechnology Research Centre, 11421 Saskatchewan Drive, Edmonton, Alberta T6G 2M9, Canada
| | - Rajesh G. Pillai
- National
Research Council Canada—Nanotechnology Research Centre, 11421 Saskatchewan Drive, Edmonton, Alberta T6G 2M9, Canada
| | - Kenneth D. Harris
- National
Research Council Canada—Nanotechnology Research Centre, 11421 Saskatchewan Drive, Edmonton, Alberta T6G 2M9, Canada
- Department
of Mechanical Engineering, University of
Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Nora W. C. Chan
- Defence
Research and Development Canada, Suffield
Research Centre, P.O. Box 4000, Stn. Main, Medicine Hat, Alberta T1A 8K6, Canada
| | - Abebaw B. Jemere
- National
Research Council Canada—Nanotechnology Research Centre, 11421 Saskatchewan Drive, Edmonton, Alberta T6G 2M9, Canada
- Department
of Chemistry, Queen’s University, Kingston, Ontario K7L 3N6, Canada
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5
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Zhao Z, Qi X, He Y, Li N, Lai H, Liu B, Chen Y, Jin T. Oxygen vacancy-rich Fe 2(MoO 4) 3 combined with MWCNTs for electrochemical sensors of fentanyl and its analogs. Mikrochim Acta 2024; 191:159. [PMID: 38411763 DOI: 10.1007/s00604-024-06222-6] [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: 11/14/2023] [Accepted: 01/18/2024] [Indexed: 02/28/2024]
Abstract
Hundreds of thousands of people dying from the abuse of fentanyl and its analogs. Hence, the development of an efficient and highly accurate detection method is extremely relevant and challenging. Therefore, we proposed the introduction of oxygen defects into Fe2(MoO4)3 nanoparticles for improving the catalyst performance and combining it with multi-walled carbon nanotubes (MWCNTs) for electrochemical detection of fentanyl and its analogs. Oxygen vacancy-rich Fe2(MoO4)3 (called r-Fe2(MoO4)3) nanoparticles were successfully synthesized and characterized in detail by scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy-dispersive spectrometry (EDS), X-ray diffraction (XRD), Fourier transform infrared (FT-IR), Raman spectra, BET, X-ray photoelectron spectroscopy (XPS), and electron paramagnetic resonance (EPR) and investigated by comparison with oxygen vacancy-poor Fe2(MoO4)3 (called p-Fe2(MoO4)3). The obtained oxygen vacancy-rich Fe2(MoO4)3 was ultrasonically composited with MWCNTs for modification of glassy carbon electrodes (GCEs) used for the electrochemical detection of fentanyl and its analogs. The modified MWCNT-GCE showed ultrasensitivity to fentanyl, sufentanil, alfentanil, and acetylfentanyl with limits of detection (LOD) of 0.006 µmol·L-1, 0.008 µmol·L-1, 0.018 µmol·L-1, and 0.024 µmol·L-1, respectively, and could distinguish among the four drugs based on their peak voltages. Besides, the obtained r-Fe2(MoO4)3/MWCNT composite also exhibited high repeatability, selectivity, and stability. It showed satisfactory detection performance on real samples, with recoveries of 70.53 ~ 94.85% and 50.98 ~ 82.54% in serum and urine for the four drugs in a concentration range 0.2 ~ 1 µM, respectively. The experimental results confirm that the introduction of oxygen vacancies effectively improves the sensitivity of fentanyl electrochemical detection, and this work provides some inspiration for the development of catalytic materials for electrochemical sensors with higher sensitivity.
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Affiliation(s)
- Zhidong Zhao
- Guangzhou Institute of Chemistry, Chinese Academy of Sciences, 510650, Guangzhou, People's Republic of China
- University of Chinese Academy of Sciences, 100000, Beijing, People's Republic of China
- Guizhou Police College, 550005, Guiyang, People's Republic of China
| | - Xingrui Qi
- Guangzhou Institute of Chemistry, Chinese Academy of Sciences, 510650, Guangzhou, People's Republic of China
- University of Chinese Academy of Sciences, 100000, Beijing, People's Republic of China
| | - Yuan He
- Guangzhou Institute of Chemistry, Chinese Academy of Sciences, 510650, Guangzhou, People's Republic of China
- CAS Testing Technical Services (Guangzhou) Co. Ltd, 510650, Guangzhou, People's Republic of China
- Guangdong Industry Polytechnic, 510300, Guangzhou, People's Republic of China
| | - Nian Li
- Guangzhou Institute of Chemistry, Chinese Academy of Sciences, 510650, Guangzhou, People's Republic of China
- University of Chinese Academy of Sciences, 100000, Beijing, People's Republic of China
| | - Huajie Lai
- Guangzhou Institute of Chemistry, Chinese Academy of Sciences, 510650, Guangzhou, People's Republic of China
- University of Chinese Academy of Sciences, 100000, Beijing, People's Republic of China
- CAS Testing Technical Services (Guangzhou) Co. Ltd, 510650, Guangzhou, People's Republic of China
- CAS Engineering Laboratory for Special Fine Chemicals, Chinese Academy of Sciences, Guangzhou, 510650, People's Republic of China
- Guangdong Provincial Key Laboratory of Organic Polymer Materials for Electronics, Guangzhou, 510650, People's Republic of China
- West Center, Guangzhou Institute of Chemistry, Chinese Academy of Sciences, Chongqing, 400714, People's Republic of China
| | - Bo Liu
- Guangzhou Institute of Chemistry, Chinese Academy of Sciences, 510650, Guangzhou, People's Republic of China
- University of Chinese Academy of Sciences, 100000, Beijing, People's Republic of China
- CAS Testing Technical Services (Guangzhou) Co. Ltd, 510650, Guangzhou, People's Republic of China
- CAS Engineering Laboratory for Special Fine Chemicals, Chinese Academy of Sciences, Guangzhou, 510650, People's Republic of China
- Guangdong Provincial Key Laboratory of Organic Polymer Materials for Electronics, Guangzhou, 510650, People's Republic of China
- West Center, Guangzhou Institute of Chemistry, Chinese Academy of Sciences, Chongqing, 400714, People's Republic of China
| | - Yufang Chen
- Guangzhou Institute of Chemistry, Chinese Academy of Sciences, 510650, Guangzhou, People's Republic of China
- University of Chinese Academy of Sciences, 100000, Beijing, People's Republic of China
- CAS Testing Technical Services (Guangzhou) Co. Ltd, 510650, Guangzhou, People's Republic of China
- CAS Engineering Laboratory for Special Fine Chemicals, Chinese Academy of Sciences, Guangzhou, 510650, People's Republic of China
- Guangdong Provincial Key Laboratory of Organic Polymer Materials for Electronics, Guangzhou, 510650, People's Republic of China
- West Center, Guangzhou Institute of Chemistry, Chinese Academy of Sciences, Chongqing, 400714, People's Republic of China
| | - Tao Jin
- Guangzhou Institute of Chemistry, Chinese Academy of Sciences, 510650, Guangzhou, People's Republic of China.
- University of Chinese Academy of Sciences, 100000, Beijing, People's Republic of China.
- CAS Testing Technical Services (Guangzhou) Co. Ltd, 510650, Guangzhou, People's Republic of China.
- CAS Engineering Laboratory for Special Fine Chemicals, Chinese Academy of Sciences, Guangzhou, 510650, People's Republic of China.
- Guangdong Provincial Key Laboratory of Organic Polymer Materials for Electronics, Guangzhou, 510650, People's Republic of China.
- West Center, Guangzhou Institute of Chemistry, Chinese Academy of Sciences, Chongqing, 400714, People's Republic of China.
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6
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Kusic DM, Heil J, Zajic S, Brangan A, Dairo O, Heil S, Feigin G, Kacinko S, Buono RJ, Ferraro TN, Rafeq R, Haroz R, Baston K, Bodofsky E, Sabia M, Salzman M, Resch A, Madzo J, Scheinfeldt LB, Issa JPJ, Jelinek J. Postmortem toxicology findings from the Camden Opioid Research Initiative. PLoS One 2023; 18:e0292674. [PMID: 37910493 PMCID: PMC10619848 DOI: 10.1371/journal.pone.0292674] [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: 02/23/2023] [Accepted: 09/26/2023] [Indexed: 11/03/2023] Open
Abstract
The United States continues to be impacted by decades of an opioid misuse epidemic, worsened by the COVID-19 pandemic and by the growing prevalence of highly potent synthetic opioids (HPSO) such as fentanyl. In instances of a toxicity event, first-response administration of reversal medications such as naloxone can be insufficient to fully counteract the effects of HPSO, particularly when there is co-occurring substance use. In an effort to characterize and study this multi-faceted problem, the Camden Opioid Research Initiative (CORI) has been formed. The CORI study has collected and analyzed post-mortem toxicology data from 42 cases of decedents who expired from opioid-related toxicity in the South New Jersey region to characterize substance use profiles. Co-occurring substance use, whether by intent or through possible contamination of the illicit opioid supply, is pervasive among deaths due to opioid toxicity, and evidence of medication-assisted treatment is scarce. Nearly all (98%) of the toxicology cases show the presence of the HPSO, fentanyl, and very few (7%) results detected evidence of medication-assisted treatment for opioid use disorder, such as buprenorphine or methadone, at the time of death. The opioid toxicity reversal drug, naloxone, was detected in 19% of cases, but 100% of cases expressed one or more stimulants, and sedatives including xylazine were detected in 48% of cases. These results showing complex substance use profiles indicate that efforts at mitigating the opioid misuse epidemic must address the complications presented by co-occurring stimulant and other substance use, and reduce barriers to and stigmas of seeking effective medication-assisted treatments.
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Affiliation(s)
- Dara M. Kusic
- Research, Coriell Institute for Medical Research, Camden, New Jersey, United States of America
| | - Jessica Heil
- Clinical Research Office, Cooper University Health Care, Camden, New Jersey, United States of America
| | - Stefan Zajic
- Research, Coriell Institute for Medical Research, Camden, New Jersey, United States of America
| | - Andrew Brangan
- Coriell Institute for Medical Research, Camden, New Jersey, United States of America
| | - Oluseun Dairo
- Coriell Institute for Medical Research, Camden, New Jersey, United States of America
| | - Stacey Heil
- Coriell Institute for Medical Research, Camden, New Jersey, United States of America
| | - Gerald Feigin
- Office of the Medical Examiner, Gloucester County Health Department, Sewell, New Jersey, United States of America
| | - Sherri Kacinko
- Forensic Toxicology, NMS Labs, Horsham, Pennsylvania, United States of America
| | - Russell J. Buono
- Biomedical Sciences, Cooper Medical School of Rowan University, Camden, New Jersey, United States of America
| | - Thomas N. Ferraro
- Biomedical Sciences, Cooper Medical School of Rowan University, Camden, New Jersey, United States of America
| | - Rachel Rafeq
- Department of Emergency Medicine, Cooper University Health Care, Camden, New Jersey, United States of America
| | - Rachel Haroz
- Department of Emergency Medicine, Cooper University Health Care, Camden, New Jersey, United States of America
| | - Kaitlan Baston
- Cooper Medical School of Rowan University, Camden, New Jersey, United States of America
| | - Elliot Bodofsky
- Neurological Institute, Cooper University Health Care, Camden, New Jersey, United States of America
| | - Michael Sabia
- Anesthesiology, Cooper University Health Care, Camden, New Jersey, United States of America
| | - Matthew Salzman
- Department of Emergency Medicine, Cooper University Health Care, Camden, New Jersey, United States of America
| | - Alissa Resch
- Research, Coriell Institute for Medical Research, Camden, New Jersey, United States of America
| | - Jozef Madzo
- Research, Coriell Institute for Medical Research, Camden, New Jersey, United States of America
- Biomedical Sciences, Cooper Medical School of Rowan University, Camden, New Jersey, United States of America
| | - Laura B. Scheinfeldt
- Research, Coriell Institute for Medical Research, Camden, New Jersey, United States of America
- Biomedical Sciences, Cooper Medical School of Rowan University, Camden, New Jersey, United States of America
| | - Jean-Pierre J. Issa
- Research, Coriell Institute for Medical Research, Camden, New Jersey, United States of America
- Biomedical Sciences, Cooper Medical School of Rowan University, Camden, New Jersey, United States of America
| | - Jaroslav Jelinek
- Research, Coriell Institute for Medical Research, Camden, New Jersey, United States of America
- Biomedical Sciences, Cooper Medical School of Rowan University, Camden, New Jersey, United States of America
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7
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Li M, Duan S, Chen H, Zou F, Zhang G, Liu Q, Zhang R, Zeng X, Bai H. A promising and highly sensitive electrochemical platform for the detection of fentanyl and alfentanil in human serum. Mikrochim Acta 2023; 190:414. [PMID: 37749328 DOI: 10.1007/s00604-023-05977-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 08/29/2023] [Indexed: 09/27/2023]
Abstract
A novel electrochemical method has been developed, based on a covalent organic framework (COF) and reduced graphene oxide (rGO), to detect fentanyl and alfentanil. COF nanomaterials with chrysanthemum morphology obtained by solvothermal reaction contain rich active sites for electrochemical catalytic reaction, thus improving the detection performance of the designed sensor. Reduced graphene oxide improves the sensor's sensitivity due to enhanced electron transfer. Under optimized experimental conditions, the fabricated electrode presents a linear range of 0.02 to 7.26 μM for alfentanil and 0.1 to 6.54 μM for fentanyl, with detection limits of 6.7 nM and 33 nM, respectively. In addition, the sensor possesses excellent selectivity, outstanding reproducibility, and acceptable stability. The proposed sensor is feasible for the reliable monitoring of fentanyl and alfentanil in human serum samples, with acceptable reliability and high potential in real-world applications. Finally, the electrochemical characteristic fingerprint of fentanyl is investigated by studying the electrochemical behavior of alfentanil and fentanyl on the electrode surface.
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Affiliation(s)
- Meng Li
- School of Material and Energy, Yunnan University, Kunming, 650091, China
- School of Chemical Science and Engineering, Yunnan University, Kunming, 650091, China
- Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China
| | - Shimeng Duan
- School of Material and Energy, Yunnan University, Kunming, 650091, China
- School of Chemical Science and Engineering, Yunnan University, Kunming, 650091, China
- Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China
| | - Haiou Chen
- School of Material and Energy, Yunnan University, Kunming, 650091, China
- School of Chemical Science and Engineering, Yunnan University, Kunming, 650091, China
- Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China
| | - Fangyuan Zou
- School of Material and Energy, Yunnan University, Kunming, 650091, China
- School of Chemical Science and Engineering, Yunnan University, Kunming, 650091, China
- Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China
| | - Genlin Zhang
- School of Material and Energy, Yunnan University, Kunming, 650091, China
- School of Chemical Science and Engineering, Yunnan University, Kunming, 650091, China
- Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China
| | - Qingju Liu
- School of Material and Energy, Yunnan University, Kunming, 650091, China
- School of Chemical Science and Engineering, Yunnan University, Kunming, 650091, China
- Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China
| | - Ruilin Zhang
- NHC Key Laboratory of Drug Addiction Medicine, School of Forensic Medicine, Kunming Medical University, Kunming, 650050, China.
| | - Xiaofeng Zeng
- NHC Key Laboratory of Drug Addiction Medicine, School of Forensic Medicine, Kunming Medical University, Kunming, 650050, China.
| | - Huiping Bai
- School of Material and Energy, Yunnan University, Kunming, 650091, China.
- School of Chemical Science and Engineering, Yunnan University, Kunming, 650091, China.
- Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China.
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