1
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Atta S, Canning AJ, Vo-Dinh T. Rapid SERS assay for determination of the opioid fentanyl using silver-coated sharply branched gold nanostars. Mikrochim Acta 2024; 191:110. [PMID: 38252139 DOI: 10.1007/s00604-023-06172-5] [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: 10/06/2023] [Accepted: 12/22/2023] [Indexed: 01/23/2024]
Abstract
A high-throughput surface-enhanced Raman scattering (SERS)-sensing platform is presented for FNT detection in human urine without any sample preparation. The sensing platform is based on plasmonics-active silver-coated sharply branched gold nanostars (SGNS). The effect of silver thickness was investigated experimentally and theoretically, and the results indicated that SERS enhancement was maximum at an optimum silver thickness of 45 nm on the sharply spiked SGNS. The proposed high-throughput SERS platform exhibited ultrahigh sensitivity and excellent enhancement uniformity for a model analyte, i.e., crystal violet. Moreover, the SERS-sensing platform demonstrated good sensitivity of FNT spiked in human urine samples with two differential linear response ranges of 2 to 0.2 µg/mL and 0.1 µg/mL to 100 pg/mL, respectively, with a detection limit as low as 10.02 pg/mL. The spiked human urine samples show satisfactory recovery values from 92.5 to 102% with relative standard deviations (RSD) of less than 10%. In summary, the high-throughput performance of the proposed microplate-based SERS platform demonstrated great potential for rapid low-cost SERS-based sensing applications.
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Affiliation(s)
- Supriya Atta
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Aidan J Canning
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Tuan Vo-Dinh
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
- Department of Chemistry, Duke University, Durham, NC, 27708, USA.
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2
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Ott CE, Burns A, Sisco E, Arroyo LE. Targeted fentanyl screening utilizing electrochemical surface-enhanced Raman spectroscopy (EC-SERS) applied to authentic seized drug casework samples. Forensic Chem 2023. [DOI: 10.1016/j.forc.2023.100492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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3
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Juneja S, Zhang B, Wang AX. Limit-Defying μ-Total Analysis System: Achieving Part-Per-Quadrillion Sensitivity on a Hierarchical Optofluidic SERS Sensor. ACS OMEGA 2023; 8:17151-17158. [PMID: 37214736 PMCID: PMC10193394 DOI: 10.1021/acsomega.3c01519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/19/2023] [Indexed: 05/24/2023]
Abstract
Optofluidic sensors have accelerated the growth of smart sensor platforms with improved sensitivity, reliability, and innovation. In this article, we report the integration of a surface-enhanced Raman scattering (SERS) material consisting of silver nanoparticle-decorated diatomaceous earth (AgNPs-DE) with a flow-through microfluidic device, building up a hierarchical structured micro-total analysis system (μ-TAS) capable of achieving part-per-quadrillion (ppq)-level sensitivity. By the synergic integration of millimeter-scale microfluidic devices and porous laboratory filter paper with a micrometer-sized crosslinked cellulosic network that carries SERS-active AgNPs-DE, which possesses submicron to nanometer regimes of photonic crystals and plasmonic nanostructures, we achieved enhanced mass-transfer efficiency and unprecedented detection sensitivity. In our experiment, fentanyl as the testing analyte at different concentrations was measured using a portable Raman spectrometer. The limit of detection (LOD) was estimated to be 10 ppq from a small detection volume of 10 mL with an ultrafast time of sensing (TOS) of 3 min. To attain comparable signals, the traditional soaking method took more than 90 min to detect 10 part-per-trillion fentanyl from a 10 mL sample. Compared with existing SERS sensing results of fentanyl, the limit-defying μ-TAS reduced the LOD-TOS product by almost 4 orders of magnitude, which represents a new stage of ultrafast sensing of extremely low concentration analytes.
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Affiliation(s)
- Subhavna Juneja
- School
of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon 97331, United States
- Department
of Electrical and Computer Engineering, Baylor University, Waco, Texas 76798, United States
| | - Boxin Zhang
- School
of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon 97331, United States
| | - Alan X. Wang
- School
of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon 97331, United States
- Department
of Electrical and Computer Engineering, Baylor University, Waco, Texas 76798, United States
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4
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Farquharson S, Shende C, Newcomb J, Petrakis IL, Arias AJ. Analysis of Drugs in Saliva of US Military Veterans Treated for Substance Use Disorders Using Supported Liquid Extraction and Surface-Enhanced Raman Spectral Analysis. Molecules 2023; 28:molecules28052010. [PMID: 36903255 PMCID: PMC10004423 DOI: 10.3390/molecules28052010] [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: 01/29/2023] [Revised: 02/11/2023] [Accepted: 02/14/2023] [Indexed: 02/23/2023] Open
Abstract
According to the Center for Disease Control, there were more than 107,000 US drug overdose deaths in 2021, over 80,000 of which due to opioids. One of the more vulnerable populations is US military veterans. Nearly 250,000 military veterans suffer from substance-related disorders (SRD). For those seeking treatment, buprenorphine is prescribed to help treat opioid use disorder (OUD). Urinalysis is currently used to monitor buprenorphine adherence as well as to detect illicit drug use during treatment. Sometimes sample tampering occurs if patients seek to generate a false positive buprenorphine urine test or mask illicit drugs, both of which can compromise treatment. To address this problem, we have been developing a point-of-care (POC) analyzer that can rapidly measure both medications used for treatment and illicit drugs in patient saliva, ideally in the physi-cian's office. The two-step analyzer employs (1) supported liquid extraction (SLE) to isolate the drugs from the saliva and (2) surface-enhanced Raman spectroscopy (SERS) to detect the drugs. A prototype SLE-SERS-POC analyzer was used to quantify buprenorphine at ng/mL concentrations and identify illicit drugs in less than 1 mL of saliva collected from 20 SRD veterans in less than 20 min. It correctly detected buprenorphine in 19 of 20 samples (18 true positives, 1 true negative and 1 false negative). It also identified 10 other drugs in patient samples: acetaminophen, amphetamine, cannabidiol, cocaethylene, codeine, ibuprofen, methamphetamine, methadone, nicotine, and norbuprenorphine. The prototype analyzer shows evidence of accuracy in measuring treatment medications and relapse to drug use. Further study and development of the system is warranted.
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Affiliation(s)
- Stuart Farquharson
- Real-Time Analyzers, Inc., Middletown, CT 06457, USA
- Correspondence: ; Tel.: +1-860-635-9800
| | - Chetan Shende
- Real-Time Analyzers, Inc., Middletown, CT 06457, USA
| | - Jenelle Newcomb
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Ismene L. Petrakis
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Albert J. Arias
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
- Department of Psychiatry, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA
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5
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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,70113th Street, N.W., Suite 750, Washington, DC, 20005-3967, USA,Corresponding author. RTI International, Applied Justice Research Division, Center for Forensic Sciences, 3040 E. Cornwallis Road, Research Triangle Park, NC, 22709-2194, USA.
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6
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Wang Z, Nautiyal A, Alexopoulos C, Aqrawi R, Huang X, Ali A, Lawson KE, Riley K, Adamczyk AJ, Dong P, Zhang X. Fentanyl Assay Derived from Intermolecular Interaction-Enabled Small Molecule Recognition (iMSR) with Differential Impedance Analysis for Point-of-Care Testing. Anal Chem 2022; 94:9242-9251. [PMID: 35737979 DOI: 10.1021/acs.analchem.2c00017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Rapid and effective differentiation and quantification of a small molecule drug, such as fentanyl, in bodily fluids are major challenges for diagnosis and personal medication. However, the current toxicology methods used to measure drug concentration and metabolites require laboratory-based testing, which is not an efficient or cost-effective way to treat patients in a timely manner. Here, we show an assay for monitoring fentanyl levels by combining the intermolecular interaction-enabled small molecule recognition (iMSR) with differential impedance analysis of conjugated polymers. The differential interactions with the designed anchor interface were transduced through the perturbance of the electric status of the flexible conducting polymer. This assay showed excellent fentanyl selectivity against common interferences, as well as in variable body fluids through either testing strips or skin patches. Directly using the patient blood, the sensor provided 1%-5% of the average deviation compared to the "gold" standard method LC-MS results in the medically relevant fentanyl range of 20-90 nM. The superior sensing properties, in conjunction with mechanical flexibility and compatibility, enabled point-of-care detection and provided a promising avenue for applications beyond the scope of biomarker detection.
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Affiliation(s)
- Zhe Wang
- Chemistry Department, Oakland University, Rochester, Michigan 48309, United States
| | - Amit Nautiyal
- Department of Chemistry, Xavier University of Louisiana, New Orleans, Louisiana 70125, United States
| | | | - Rania Aqrawi
- Chemistry Department, Oakland University, Rochester, Michigan 48309, United States
| | - Xiaozhou Huang
- Department of Mechanical Engineering, George Mason University, Fairfax, Virginia 22030, United States
| | - Ashraf Ali
- Department of Chemical Engineering, Auburn University, Auburn, Alabama 36849, United States
| | - Katherine E Lawson
- Department of Chemical Engineering, Auburn University, Auburn, Alabama 36849, United States
| | - Kevin Riley
- Department of Chemistry, Xavier University of Louisiana, New Orleans, Louisiana 70125, United States
| | - Andrew J Adamczyk
- Department of Chemical Engineering, Auburn University, Auburn, Alabama 36849, United States
| | - Pei Dong
- Department of Mechanical Engineering, George Mason University, Fairfax, Virginia 22030, United States
| | - Xinyu Zhang
- Department of Chemical Engineering, Auburn University, Auburn, Alabama 36849, United States
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7
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Bailey MJ, de Puit M, Romolo FS. Surface Analysis Techniques in Forensic Science: Successes, Challenges, and Opportunities for Operational Deployment. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2022; 15:173-196. [PMID: 35167323 DOI: 10.1146/annurev-anchem-061020-124221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Surface analysis techniques have rapidly evolved in the last decade. Some of these are already routinely used in forensics, such as for the detection of gunshot residue or for glass analysis. Some surface analysis approaches are attractive for their portability to the crime scene. Others can be very helpful in forensic laboratories owing to their high spatial resolution, analyte coverage, speed, and specificity. Despite this, many proposed applications of the techniques have not yet led to operational deployment. Here, we explore the application of these techniques to the most important traces commonly found in forensic casework. We highlight where there is potential to add value and outline the progress that is needed to achieve operational deployment. We consider within the scope of this review surface mass spectrometry, surface spectroscopy, and surface X-ray spectrometry. We show how these tools show great promise for the analysis of fingerprints, hair, drugs, explosives, and microtraces.
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Affiliation(s)
- Melanie J Bailey
- Department of Chemistry, Stag Hill Campus, University of Surrey, Guildford, United Kingdom;
| | - Marcel de Puit
- Netherlands Forensic Institute, The Hague, The Netherlands
- Delft University of Technology, Delft, The Netherlands
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8
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Ren J, Mao S, Lin J, Xu Y, Zhu Q, Xu N. Research Progress of Raman Spectroscopy and Raman Imaging in Pharmaceutical Analysis. Curr Pharm Des 2022; 28:1445-1456. [PMID: 35593344 DOI: 10.2174/1381612828666220518145635] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/03/2022] [Indexed: 11/22/2022]
Abstract
The analytical investigation of the pharmaceutical process monitors the critical process parameters of the drug, beginning from its development until marketing and postmarketing, and appropriate corrective action can be taken to change the pharmaceutical design at any stage of the process. Advanced analytical methods, such as Raman spectroscopy, are particularly suitable for use in the field of drug analysis, especially for qualitative and quantitative work, due to the advantages of simple sample preparation, fast, nondestructive analysis speed, and effective avoidance of moisture interference. Advanced Raman imaging techniques have gradually become a powerful alternative method for monitoring changes in polymorph distribution and active pharmaceutical ingredient distribution in drug processing and pharmacokinetics. Surface-enhanced Raman spectroscopy (SERS) has also solved the inherent insensitivity and fluorescence problems of Raman, which has made good progress in the field of illegal drug analysis. This review summarizes the application of Raman spectroscopy and imaging technology, which are used in the qualitative and quantitative analysis of solid tablets, quality control of the production process, drug crystal analysis, illegal drug analysis, and monitoring of drug dissolution and release in the field of drug analysis in recent years.
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Affiliation(s)
- Jie Ren
- College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, People\'s Republic of China
| | - Shijie Mao
- College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, People\'s Republic of China
| | - Jidong Lin
- College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, People\'s Republic of China
| | - Ying Xu
- College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, People\'s Republic of China
| | - Qiaoqiao Zhu
- College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, People\'s Republic of China
| | - Ning Xu
- College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, People\'s Republic of China
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9
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Wang L, Vendrell-Dones MO, Deriu C, Doğruer S, de B Harrington P, McCord B. Multivariate Analysis Aided Surface-Enhanced Raman Spectroscopy (MVA-SERS) Multiplex Quantitative Detection of Trace Fentanyl in Illicit Drug Mixtures Using a Handheld Raman Spectrometer. APPLIED SPECTROSCOPY 2021; 75:1225-1236. [PMID: 34318708 DOI: 10.1177/00037028211032930] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Recently there has been upsurge in reports that illicit seizures of cocaine and heroin have been adulterated with fentanyl. Surface-enhanced Raman spectroscopy (SERS) provides a useful alternative to current screening procedures that permits detection of trace levels of fentanyl in mixtures. Samples are solubilized and allowed to interact with aggregated colloidal nanostars to produce a rapid and sensitive assay. In this study, we present the quantitative determination of fentanyl in heroin and cocaine using SERS, using a point-and-shoot handheld Raman system. Our protocol is optimized to detect pure fentanyl down to 0.20 ± 0.06 ng/mL and can also distinguish pure cocaine and heroin at ng/mL levels. Multiplex analysis of mixtures is enabled by combining SERS detection with principal component analysis and super partial least squares regression discriminate analysis (SPLS-DA), which allow for the determination of fentanyl as low as 0.05% in simulated seized heroin and 0.10% in simulated seized cocaine samples.
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Affiliation(s)
- Ling Wang
- Department of Chemistry and Biochemistry, Florida International University, Miami, FL USA
| | - Mario O Vendrell-Dones
- Department of Chemistry and Biochemistry, Florida International University, Miami, FL USA
| | - Chiara Deriu
- Department of Chemistry and Biochemistry, Florida International University, Miami, FL USA
| | - Sevde Doğruer
- Department of Chemistry and Biochemistry, Florida International University, Miami, FL USA
| | | | - Bruce McCord
- Department of Chemistry and Biochemistry, Florida International University, Miami, FL USA
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10
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Zhang M, Jin C, Nie Y, Ren Y, Hao N, Xu Z, Dong L, Zhang JXJ. Silver nanoparticle on zinc oxide array for label-free detection of opioids through surface-enhanced raman spectroscopy. RSC Adv 2021; 11:11329-11337. [PMID: 35423637 PMCID: PMC8695809 DOI: 10.1039/d1ra00760b] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/03/2021] [Indexed: 12/28/2022] Open
Abstract
Opioid abuse is a significant public health problem. Over two million Americans have some form of addiction to opioids; however, despite governmental programs established to treat overdoses and restrict opioid distribution, there are still few screening tools that are quantitative, portable and easy to use for high-throughput mapping and monitoring this ongoing crisis. In this paper, we demonstrated a plasmonic zinc oxide (ZnO) arrays-on-silicon sensor for the label-free detection of opioids through surface-enhanced Raman spectroscopy (SERS), and evaluated the chips' opioid sensing performance. Specifically, we tested our device with oxycodone, a potent and commonly abused opioid, dissolved in methanol and blood serum as a proof-of-concept study. Ag particles were in situ patterned onto the ZnO array to form the completed sensing platform. The resulting Ag@ZnO arrays were characterized using Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Analysis (EDS), and element mapping. In addition, the enhanced electric field induced by the localized surface plasmonic resonance at the Ag particle decorated ZnO is simulated using COMSOL. Opioid-containing samples at varying concentrations, from 900 μg mL-1 to 90 ng mL-1 were tested using SERS to characterize the chip's accuracy and sensitivity. We demonstrated that the sensor can reliably detect opioid concentrations as low as 90 ng mL-1 with great accuracy and sensitivity even spiked into blood serum. The chips could provide a cost-effective, high-throughput method for detecting opiate oxycodone, thereby providing a powerful tool to monitor and control the emerging public health threats.
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Affiliation(s)
- Michael Zhang
- Thayer School of Engineering at Dartmouth College Hanover NH USA
| | - Congran Jin
- Thayer School of Engineering at Dartmouth College Hanover NH USA
| | - Yuan Nie
- Thayer School of Engineering at Dartmouth College Hanover NH USA
| | - Yundong Ren
- Thayer School of Engineering at Dartmouth College Hanover NH USA
| | - Nanjing Hao
- Thayer School of Engineering at Dartmouth College Hanover NH USA
| | - Zhe Xu
- Thayer School of Engineering at Dartmouth College Hanover NH USA
| | - Lin Dong
- Mechanical and Industrial Engineering, New Jersey Institute of Technology Newark NJ USA
| | - John X J Zhang
- Thayer School of Engineering at Dartmouth College Hanover NH USA
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11
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Ye J, Wang S, Zhang Y, Li B, Lu M, Qi X, Wei H, Li Y, Zou M. Surface-enhanced shifted excitation Raman difference spectroscopy for trace detection of fentanyl in beverages. APPLIED OPTICS 2021; 60:2354-2361. [PMID: 33690335 DOI: 10.1364/ao.418579] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 02/16/2021] [Indexed: 06/12/2023]
Abstract
In recognition of the misuse risks of fentanyl, there is an urgent need to develop a useful and rapid analytical method to detect and monitor the opioid drug. The surface-enhanced shifted excitation Raman difference spectroscopy (SE-SERDS) method has been demonstrated to suppress background interference and enhance Raman signals. In this study, the SE-SERDS method was used for trace detection of fentanyl in beverages. To prepare the simulated illegal drug-beverages, fentanyls were dissolved into distilled water or Mizone as a series of test samples. Based on our previous work, the surface-enhanced Raman spectroscopy detection was performed on the beverages containing fentanyl by the prepared AgNPs and the SE-SERDS spectra of test samples were collected by the dual-wavelength rapid excitation Raman difference spectroscopy system. In addition, the quantitative relationship between fentanyl concentrations and the Raman peaks was constructed by the Langmuir equation. The experimental results show that the limits of quantitation for fentanyl in distilled water and Mizone were 10 ng/mL and 200 ng/mL, respectively; the correlation coefficients for the nonlinear regression were as high as 0.9802 and 0.9794, respectively; and the relative standard deviation was less than 15%. Hence, the SE-SERDS method will be a promising method for the trace analyses of food safety and forensics.
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12
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Metwally H, Agrawal P, Smith R, Liu C, LeBlanc Y, Covey TR, Oleschuk R. Detection of Opioids on Mail/Packages Using Open Port Interface Mass Spectrometry (OPI-MS). JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:2370-2378. [PMID: 33079532 DOI: 10.1021/jasms.0c00295] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Opioids (and their more potent synthetic analogues) are used therapeutically as effective pain killers; however, recreational use and consequent overdoses are implicated in the deaths of thousands of people across the world annually. Trafficking of opioids and other illegal drugs through international mail has become a significant challenge for law enforcement personnel. Hundreds of millions of letters are sorted by the U.S. and Canadian postal services every day. Chemical analysis of this immense volume of mail requires a very fast sampling/detection method. This work explores the use of real-time mass spectrometry analysis with the recently developed Open Port Interface (OPI) for acoustically dispensed nanoliter volume sample droplets, a type of liquid microjunction surface sampling probe, for rapid and easy non-intrusive detection of fentanyl, heroin, and oxycodone. The OPI coupled to mass spectrometry is a novel sample introduction method that allows the rapid analysis of sample surfaces without preparation or modification. Opioids on different packaging materials (e.g., paper, bubble wrap, Ziploc bags) were rapidly (<10 s) interrogated by the OPI, and the sensitivities of the method compared. Furthermore, an opioid surrogate (caffeine) could be facilely detected on envelopes after processing through postal services.
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Affiliation(s)
- Haidy Metwally
- Department of Chemistry, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Prashant Agrawal
- Department of Chemistry, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Rachael Smith
- Department of Chemistry, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Chang Liu
- SCIEX, 71 Four Valley Drive, Concord, Ontario L4K 4 V8, Canada
| | - Yves LeBlanc
- SCIEX, 71 Four Valley Drive, Concord, Ontario L4K 4 V8, Canada
| | - Thomas R Covey
- SCIEX, 71 Four Valley Drive, Concord, Ontario L4K 4 V8, Canada
| | - Richard Oleschuk
- Department of Chemistry, Queen's University, Kingston, Ontario K7L 3N6, Canada
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13
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Ahmed SR, Chand R, Kumar S, Mittal N, Srinivasan S, Rajabzadeh AR. Recent biosensing advances in the rapid detection of illicit drugs. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.116006] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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14
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Yamaguchi U, Ogawa M, Takei H. Patterned Superhydrophobic SERS Substrates for Sample Pre-Concentration and Demonstration of Its Utility through Monitoring of Inhibitory Effects of Paraoxon and Carbaryl on AChE. Molecules 2020; 25:E2223. [PMID: 32397331 PMCID: PMC7248789 DOI: 10.3390/molecules25092223] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 04/28/2020] [Accepted: 05/06/2020] [Indexed: 12/16/2022] Open
Abstract
We describe a patterned surface-enhanced Raman spectroscopy (SERS) substrate with the ability to pre-concentrate target molecules. A surface-adsorbed nanosphere monolayer can serve two different functions. First, it can be made into a SERS platform when covered by silver. Alternatively, it can be fashioned into a superhydrophobic surface when coated with a hydrophobic molecular species such as decyltrimethoxy silane (DCTMS). Thus, if silver is patterned onto a latter type of substrate, a SERS spot surrounded by a superhydrophobic surface can be prepared. When an aqueous sample is placed on it and allowed to dry, target molecules in the sample become pre-concentrated. We demonstrate the utility of the patterned SERS substrate by evaluating the effects of inhibitors to acetylcholinesterase (AChE). AChE is a popular target for drugs and pesticides because it plays a critical role in nerve signal transduction. We monitored the enzymatic activity of AChE through the SERS spectrum of thiocholine (TC), the end product from acetylthiocholine (ATC). Inhibitory effects of paraoxon and carbaryl on AChE were evaluated from the TC peak intensity. We show that the patterned SERS substrate can reduce both the necessary volumes and concentrations of the enzyme and substrate by a few orders of magnitude in comparison to a non-patterned SERS substrate and the conventional colorimetric method.
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Affiliation(s)
- Umi Yamaguchi
- Graduate School of Life Sciences, Toyo University, Itakura, Gunma 374-0193, Japan;
| | - Maki Ogawa
- Faculty of Life Sciences, Toyo University, Itakura, Gunma 374-0193, Japan;
| | - Hiroyuki Takei
- Faculty of Life Sciences, Toyo University, Itakura, Gunma 374-0193, Japan;
- Bio Nano Electronics Research Centre, Toyo University, Kawagoe, Saitama 350-0815, Japan
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15
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Fornasaro S, Alsamad F, Baia M, Batista de Carvalho LAE, Beleites C, Byrne HJ, Chiadò A, Chis M, Chisanga M, Daniel A, Dybas J, Eppe G, Falgayrac G, Faulds K, Gebavi H, Giorgis F, Goodacre R, Graham D, La Manna P, Laing S, Litti L, Lyng FM, Malek K, Malherbe C, Marques MPM, Meneghetti M, Mitri E, Mohaček-Grošev V, Morasso C, Muhamadali H, Musto P, Novara C, Pannico M, Penel G, Piot O, Rindzevicius T, Rusu EA, Schmidt MS, Sergo V, Sockalingum GD, Untereiner V, Vanna R, Wiercigroch E, Bonifacio A. Surface Enhanced Raman Spectroscopy for Quantitative Analysis: Results of a Large-Scale European Multi-Instrument Interlaboratory Study. Anal Chem 2020; 92:4053-4064. [PMID: 32045217 PMCID: PMC7997108 DOI: 10.1021/acs.analchem.9b05658] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
![]()
Surface-enhanced
Raman scattering (SERS) is a powerful and sensitive
technique for the detection of fingerprint signals of molecules and
for the investigation of a series of surface chemical reactions. Many
studies introduced quantitative applications of SERS in various fields,
and several SERS methods have been implemented for each specific application,
ranging in performance characteristics, analytes used, instruments,
and analytical matrices. In general, very few methods have been validated
according to international guidelines. As a consequence, the application
of SERS in highly regulated environments is still considered risky,
and the perception of a poorly reproducible and insufficiently robust
analytical technique has persistently retarded its routine implementation.
Collaborative trials are a type of interlaboratory study (ILS) frequently
performed to ascertain the quality of a single analytical method.
The idea of an ILS of quantification with SERS arose within the framework
of Working Group 1 (WG1) of the EU COST Action BM1401 Raman4Clinics
in an effort to overcome the problematic perception of quantitative
SERS methods. Here, we report the first interlaboratory SERS study
ever conducted, involving 15 laboratories and 44 researchers. In this
study, we tried to define a methodology to assess the reproducibility
and trueness of a quantitative SERS method and to compare different
methods. In our opinion, this is a first important step toward a “standardization”
process of SERS protocols, not proposed by a single laboratory but
by a larger community.
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Affiliation(s)
- Stefano Fornasaro
- Raman Spectroscopy Lab, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100 Trieste, Italy
| | - Fatima Alsamad
- Université de Reims Champagne-Ardenne, BioSpecT-EA7506, UFR de Pharmacie, 51 rue Cognacq-Jay, 51097 Reims, France
| | - Monica Baia
- Faculty of Physics, Babes-Bolyai University, M. Kogalniceanu 1, 400084 Cluj-Napoca, Romania
| | - Luís A E Batista de Carvalho
- Molecular-Physical Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
| | | | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, Kevin Street, Dublin 8, Ireland
| | - Alessandro Chiadò
- Department of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
| | - Mihaela Chis
- Faculty of Physics, Babes-Bolyai University, M. Kogalniceanu 1, 400084 Cluj-Napoca, Romania
| | - Malama Chisanga
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, United Kingdom M1 7DN
| | - Amuthachelvi Daniel
- Radiation and Environmental Science Centre, FOCAS Research Institute, Technological University Dublin, Kevin Street, Dublin 8, Ireland
| | - Jakub Dybas
- Jagiellonian Centre for Experimental Therapeutics, Jagiellonian University, ul. Gronostajowa 2, 30-384 Krakow, Poland
| | - Gauthier Eppe
- Mass Spectrometry Laboratory (MSLab), MolSys RU, University of Liège, Liège, Belgium
| | - Guillaume Falgayrac
- Univ. Lille, Univ. Littoral Côte d'Opale, EA 4490 - PMOI, F-59000 Lille, France
| | - Karen Faulds
- Bionanotechnology Research Section, Department of Pure and Applied Chemistry, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, United Kingdom
| | - Hrvoje Gebavi
- Centre of Excellence for Advanced Materials and Sensing Devices, Division of Materials Physics, Rudjer Boskovic Institute, Bijenicka c. 54, 10000 Zagreb, Croatia
| | - Fabrizio Giorgis
- Department of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
| | - Royston Goodacre
- Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom, L69 7ZB
| | - Duncan Graham
- Bionanotechnology Research Section, Department of Pure and Applied Chemistry, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, United Kingdom
| | - Pietro La Manna
- Institute on Polymers, Composites and Biomaterials, National Research Council of Italy, via Campi Flegrei, 34, Pozzuoli, Naples 80078, Italy
| | - Stacey Laing
- Bionanotechnology Research Section, Department of Pure and Applied Chemistry, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, United Kingdom
| | - Lucio Litti
- Nanostructures and Optics Laboratory, Department of Chemical Sciences, University of Padova, Via Marzolo 1 - 35131, Padova, Italy
| | - Fiona M Lyng
- Radiation and Environmental Science Centre, FOCAS Research Institute, Technological University Dublin, Kevin Street, Dublin 8, Ireland
| | - Kamilla Malek
- Jagiellonian Centre for Experimental Therapeutics, Jagiellonian University, ul. Gronostajowa 2, 30-384 Krakow, Poland
| | - Cedric Malherbe
- Mass Spectrometry Laboratory (MSLab), MolSys RU, University of Liège, Liège, Belgium
| | - Maria P M Marques
- Molecular-Physical Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal.,Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal
| | - Moreno Meneghetti
- Nanostructures and Optics Laboratory, Department of Chemical Sciences, University of Padova, Via Marzolo 1 - 35131, Padova, Italy
| | - Elisa Mitri
- Raman Spectroscopy Lab, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100 Trieste, Italy
| | - Vlasta Mohaček-Grošev
- Centre of Excellence for Advanced Materials and Sensing Devices, Division of Materials Physics, Rudjer Boskovic Institute, Bijenicka c. 54, 10000 Zagreb, Croatia
| | - Carlo Morasso
- Nanomedicine and Molecular Imaging Lab, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 4, 27100 Pavia, Italy
| | - Howbeer Muhamadali
- Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom, L69 7ZB
| | - Pellegrino Musto
- Institute on Polymers, Composites and Biomaterials, National Research Council of Italy, via Campi Flegrei, 34, Pozzuoli, Naples 80078, Italy
| | - Chiara Novara
- Department of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
| | - Marianna Pannico
- Institute on Polymers, Composites and Biomaterials, National Research Council of Italy, via Campi Flegrei, 34, Pozzuoli, Naples 80078, Italy
| | - Guillaume Penel
- Univ. Lille, Univ. Littoral Côte d'Opale, EA 4490 - PMOI, F-59000 Lille, France
| | - Olivier Piot
- Université de Reims Champagne-Ardenne, BioSpecT-EA7506, UFR de Pharmacie, 51 rue Cognacq-Jay, 51097 Reims, France
| | - Tomas Rindzevicius
- Technical University of Denmark, Department of Health Technology, Ørsteds Plads, Building 345C, DK-2800 Kgs. Lyngby, Denmark
| | - Elena A Rusu
- Faculty of Physics, Babes-Bolyai University, M. Kogalniceanu 1, 400084 Cluj-Napoca, Romania
| | | | - Valter Sergo
- Raman Spectroscopy Lab, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100 Trieste, Italy.,Faculty of Health Sciences, University of Macau, SAR Macau, China
| | - Ganesh D Sockalingum
- Université de Reims Champagne-Ardenne, BioSpecT-EA7506, UFR de Pharmacie, 51 rue Cognacq-Jay, 51097 Reims, France
| | - Valérie Untereiner
- Université de Reims Champagne-Ardenne, BioSpecT-EA7506, UFR de Pharmacie, 51 rue Cognacq-Jay, 51097 Reims, France
| | - Renzo Vanna
- Nanomedicine and Molecular Imaging Lab, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 4, 27100 Pavia, Italy
| | - Ewelina Wiercigroch
- Jagiellonian Centre for Experimental Therapeutics, Jagiellonian University, ul. Gronostajowa 2, 30-384 Krakow, Poland
| | - Alois Bonifacio
- Raman Spectroscopy Lab, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100 Trieste, Italy
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16
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Shende C, Brouillette C, Farquharson S. Detection of codeine and fentanyl in saliva, blood plasma and whole blood in 5-minutes using a SERS flow-separation strip. Analyst 2019; 144:5449-5454. [PMID: 31424465 PMCID: PMC6737938 DOI: 10.1039/c9an01087d] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
A simple-to-use device to measure drugs in saliva, blood plasma, and whole blood for point-of-care analysis and treatment of overdose patients has been investigated. A rudimentary flow strip has been developed to separate opioids from these biofluids for analysis by surface-enhanced Raman spectroscopy (SERS). The strips are based on lateral flow assays, in which the antibodies have been substituted by SERS-active pads for detection. Samples of codeine and fentanyl, artificially added to these biofluids, were measured using the strips by a field-usable Raman spectrometer. We report measurement of these drugs in these biofluids from 0.5 to 5 μg mL-1 in 5 minutes. Calculated limits of detection for the spectra suggest that these drugs could be measured at 5 to 20 ng mL-1 with improvements in the strips' separation capability.
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Affiliation(s)
- Chetan Shende
- Real-Time Analyzers, Inc., 362 Industrial Park Rd, Unit 8, Middletown, CT 06457, USA.
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