1
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van Damme IM, Mestres-Fitó P, Ramaker HJ, Hulsbergen AWC, van der Heijden AEDM, Kranenburg RF, van Asten AC. Rapid and On-Scene Chemical Identification of Intact Explosives with Portable Near-Infrared Spectroscopy and Multivariate Data Analysis. SENSORS (BASEL, SWITZERLAND) 2023; 23:3804. [PMID: 37112149 PMCID: PMC10146942 DOI: 10.3390/s23083804] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/27/2023] [Accepted: 04/04/2023] [Indexed: 06/19/2023]
Abstract
There is an ongoing forensic and security need for rapid, on-scene, easy-to-use, non-invasive chemical identification of intact energetic materials at pre-explosion crime scenes. Recent technological advances in instrument miniaturization, wireless transfer and cloud storage of digital data, and multivariate data analysis have created new and very promising options for the use of near-infrared (NIR) spectroscopy in forensic science. This study shows that in addition to drugs of abuse, portable NIR spectroscopy with multivariate data analysis also offers excellent opportunities to identify intact energetic materials and mixtures. NIR is able to characterize a broad range of chemicals of interest in forensic explosive investigations, covering both organic and inorganic compounds. NIR characterization of actual forensic casework samples convincingly shows that this technique can handle the chemical diversity encountered in forensic explosive investigations. The detailed chemical information contained in the 1350-2550 nm NIR reflectance spectrum allows for correct compound identification within a given class of energetic materials, including nitro-aromatics, nitro-amines, nitrate esters, and peroxides. In addition, the detailed characterization of mixtures of energetic materials, such as plastic formulations containing PETN (pentaerythritol tetranitrate) and RDX (trinitro triazinane), is feasible. The results presented illustrate that the NIR spectra of energetic compounds and mixtures are sufficiently selective to prevent false-positive results for a broad range of food-related products, household chemicals, raw materials used for the production of home-made explosives, drugs of abuse, and products that are sometimes used to create hoax improvised explosive devices. However, for frequently encountered pyrotechnic mixtures, such as black powder, flash powder, and smokeless powder, and some basic inorganic raw materials, the application of NIR spectroscopy remains challenging. Another challenge is presented by casework samples of contaminated, aged, and degraded energetic materials or poor-quality HMEs (home-made explosives), for which the spectral signature deviates significantly from the reference spectra, potentially leading to false-negative outcomes.
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Affiliation(s)
- Irene M. van Damme
- Van ’t Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
- Netherlands Forensic Institute (NFI), Laan van Ypenburg 6, 2497 GB Den Haag, The Netherlands
| | - Pol Mestres-Fitó
- Van ’t Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Henk-Jan Ramaker
- TIPb, Koningin Wilhelminaplein 30, 1062 KR Amsterdam, The Netherlands
| | | | | | - Ruben F. Kranenburg
- Van ’t Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
- Dutch National Police, Unit Amsterdam, Forensic Laboratory, Kabelweg 25, 1014 BA Amsterdam, The Netherlands
| | - Arian C. van Asten
- Van ’t Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
- Netherlands Forensic Institute (NFI), Laan van Ypenburg 6, 2497 GB Den Haag, The Netherlands
- Co van Ledden Hulsebosch Center (CLHC), Amsterdam Center for Forensic Science and Medicine, Science Park 904, 1098 XH Amsterdam, The Netherlands
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2
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Vora M, Panchal M, Dey S, Pandya A, Athar M, Verma N, Irfan A, Jain V. Oxacalix[4]arene based dual-signalling fluorimetric and electrochemical chemosensor for the selective detection of nitroaromatic compounds. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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3
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A Gold Nanoparticle-Based Molecular Self-Assembled Colorimetric Chemosensor Array for Monitoring Multiple Organic Oxyanions. Processes (Basel) 2022. [DOI: 10.3390/pr10071251] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Determination of oxyanions is of paramount importance because of the essential role they play in metabolic processes involved in various aquatic environmental problems. In this investigation, a novel chemical sensor array has been developed by using gold nanoparticles modified with different chain lengths of aminothiols (AET-AuNPs) as sensing elements. The proposed sensor array provides a fingerprint-like response pattern originating from cross-reactive binding events and capable of targeting various anions, including the herbicide glyphosate. In addition, chemometric techniques, linear discrimination analysis (LDA) and the support vector machine (SVM) algorithm were employed for analyte classification and regression/prediction. The obtained sensor array demonstrates a remarkable ability to determine multiple oxyanions in both qualitative and quantitative analysis. The described methodology could be used as a simple, sensitive and fast routine analysis for oxyanions in both laboratory and field settings.
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4
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Tiwari MK, Saha S. Donor triggered aggregation induced dual emission, mechanochromism and sensing of nitroaromatics in aqueous solution. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 245:118930. [PMID: 32950858 DOI: 10.1016/j.saa.2020.118930] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 08/31/2020] [Accepted: 09/05/2020] [Indexed: 06/11/2023]
Abstract
The title paper describes the photophysics of a series of 2-benzylidenemalononitrile (RDC) derivatives, having donor- π - acceptor (D-π-A) architecture in solution, solid state and in hydrosol. Interestingly, it is observed that by tuning the electronic energy levels via changing donor strength, one can play with the emissive properties to the large extent; from non- fluorescent to fluorescent, to aggregation induced dual fluorescence, to aggregation induced enhanced emission (AIEE). The nature of aggregation is studied by Field Emission Scanning Electron Microscope (FESEM). This aggregation induced emission (AIE) in hydrosol is used to develop a thin layer chromatography (TLC) based simple, easy to use technique to identify the trinitrophenol in aqueous solution as well as can distinguish the three positional nitrophenol derivatives.
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Affiliation(s)
- Manish Kumar Tiwari
- Department of Chemistry, Institute of Science, Banaras Hindu University, Varanasi 221005, India
| | - Satyen Saha
- Department of Chemistry, Institute of Science, Banaras Hindu University, Varanasi 221005, India.
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5
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Colorimetric sensor array based on gold nanoparticles: Design principles and recent advances. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2019.115754] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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6
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Alshammari AH, Kirwa A, Dunbar A, Grell M. Adaptive and sensitive fibre-optic fluorimetric transducer for air- and water-borne analytes. Talanta 2019; 199:40-45. [DOI: 10.1016/j.talanta.2019.02.055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 02/07/2019] [Accepted: 02/11/2019] [Indexed: 10/27/2022]
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7
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Sanjuán AM, Reglero Ruiz JA, García FC, García JM. Recent developments in sensing devices based on polymeric systems. REACT FUNCT POLYM 2018. [DOI: 10.1016/j.reactfunctpolym.2018.10.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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8
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9
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Zhao P, Wu Y, Feng C, Wang L, Ding Y, Hu A. Conjugated Polymer Nanoparticles Based Fluorescent Electronic Nose for the Identification of Volatile Compounds. Anal Chem 2018. [PMID: 29526080 DOI: 10.1021/acs.analchem.8b00273] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
A fluorescence sensing array (or fluorescent electronic nose) is designed on a disposable paper card using 36 sets of soluble conjugated polymeric nanoparticles (SCPNs) as sensors to easily identify wide ranges of volatile analytes, including explosives and toxic industrial chemicals (amines and pungent acids). A 108-dimensional vector obtained from the fluorescent color change in the sensing array is defined and directly treated as an index in a standard chemical library (30 kinds of volatile analytes and a control group). Hierarchical clustering analysis (HCA) and principal component analysis (PCA) indicated the diversity in electronic structures; saturated vapor pressure and miscibility of analytes are keys in differentiating the analytes, with electron-rich arenes and alkylamines enhancing fluorescence and electron-deficient analytes attenuating fluorescence. A support vector machine (SVM) works well to predict an unknown sample, reaching 99.5% accuracy. The excellent fluorescence stability (no fluorescence quenching after being exposed in air for one month) and high sensitivity (emission color changes within minutes when exposed to analytes) suggest that the fluorescent polymer-based electronic nose will play an important role in field detection and identification of a wide spreading of hazardous substances.
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Affiliation(s)
- Peng Zhao
- Shanghai Key Laboratory of Advanced Polymeric Materials, School of Materials Science and Engineering , East China University of Science and Technology , Shanghai 200237 , China
| | - Yusen Wu
- Shanghai Key Laboratory of Advanced Polymeric Materials, School of Materials Science and Engineering , East China University of Science and Technology , Shanghai 200237 , China
| | - Chuying Feng
- Shanghai Key Laboratory of Advanced Polymeric Materials, School of Materials Science and Engineering , East China University of Science and Technology , Shanghai 200237 , China
| | - Lili Wang
- Shanghai Key Laboratory of Advanced Polymeric Materials, School of Materials Science and Engineering , East China University of Science and Technology , Shanghai 200237 , China
| | - Yun Ding
- Shanghai Key Laboratory of Advanced Polymeric Materials, School of Materials Science and Engineering , East China University of Science and Technology , Shanghai 200237 , China
| | - Aiguo Hu
- Shanghai Key Laboratory of Advanced Polymeric Materials, School of Materials Science and Engineering , East China University of Science and Technology , Shanghai 200237 , China
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10
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Che W, Li G, Liu X, Shao K, Zhu D, Su Z, Bryce MR. Selective sensing of 2,4,6-trinitrophenol (TNP) in aqueous media with "aggregation-induced emission enhancement" (AIEE)-active iridium(iii) complexes. Chem Commun (Camb) 2018; 54:1730-1733. [PMID: 29376527 DOI: 10.1039/c7cc08832a] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
A series of new phosphorescent cyclometalated iridium(iii) complexes which possess aggregation-induced emission enhancement (AIEE) detect 2,4,6-trinitrophenol (TNP) selectively with high quenching constants in aqueous media. The sensing mechanism was systematically investigated by mass spectrometry, 1H and 19F NMR spectroscopy. X-ray crystal structure analysis reveals an O-HO interaction between TNP and the ancillary ligand which explains the high selectivity for TNP compared to other nitro-aromatics.
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Affiliation(s)
- Weilong Che
- Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Department of Chemistry, Northeast Normal University, 5268 Renmin Street, Changchun, Jilin Province 130024, P. R. China.
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11
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Huang W, Bender M, Seehafer K, Wacker I, Schröder RR, Bunz UHF. A Tetraphenylethene-Based Polymer Array Discriminates Nitroarenes. Macromolecules 2018. [DOI: 10.1021/acs.macromol.7b02590] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Affiliation(s)
- Wei Huang
- Organisch-Chemisches
Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
| | - Markus Bender
- Organisch-Chemisches
Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
| | - Kai Seehafer
- Organisch-Chemisches
Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
| | - Irene Wacker
- Cryo
Electron Microscopy, Universitätsklinikum Heidelberg, BioQuant, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
- CAM,
Centre for Advanced Materials, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 225, 69120 Heidelberg, Germany
| | - Rasmus R. Schröder
- Cryo
Electron Microscopy, Universitätsklinikum Heidelberg, BioQuant, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
- CAM,
Centre for Advanced Materials, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 225, 69120 Heidelberg, Germany
| | - Uwe H. F. Bunz
- Organisch-Chemisches
Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
- CAM,
Centre for Advanced Materials, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 225, 69120 Heidelberg, Germany
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12
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Liu C, Wang P, Liu X, Yi X, Zhou Z, Liu D. Supramolecular fluorescent sensor array for simultaneous qualitative and quantitative analysis of quaternary ammonium herbicides. NEW J CHEM 2018. [DOI: 10.1039/c8nj02954g] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
A supramolecular fluorescent sensor array was firstly used to simultaneously qualitatively and quantitatively analyze quaternary ammonium herbicides.
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Affiliation(s)
- Chang Liu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health
- Department of Applied Chemistry
- China Agricultural University
- Beijing
- P. R. China
| | - Peng Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health
- Department of Applied Chemistry
- China Agricultural University
- Beijing
- P. R. China
| | - Xueke Liu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health
- Department of Applied Chemistry
- China Agricultural University
- Beijing
- P. R. China
| | - Xiaotong Yi
- Beijing Advanced Innovation Center for Food Nutrition and Human Health
- Department of Applied Chemistry
- China Agricultural University
- Beijing
- P. R. China
| | - Zhiqiang Zhou
- Beijing Advanced Innovation Center for Food Nutrition and Human Health
- Department of Applied Chemistry
- China Agricultural University
- Beijing
- P. R. China
| | - Donghui Liu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health
- Department of Applied Chemistry
- China Agricultural University
- Beijing
- P. R. China
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13
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Modi K, Panchal U, Patel C, Bhatt K, Dey S, Mishra D, Jain VK. Dual in vitro and in silico analysis of thiacalix[4]arene dinaphthalene sulfonate for the sensing of 4-nitrotoluene and 2,3-dinitrotoluene. NEW J CHEM 2018. [DOI: 10.1039/c7nj03820h] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A newly synthesized thiacalix[4]arene dinaphthalene sulfonate, i.e., TCDNS, has been used as a fluorescence quencher for 2,3-DNT as well as 4-NT. The complex was analyzed by ESI-MS and 1H-NMR titration, which has been further confirmed by the in silico study.
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Affiliation(s)
- Krunal Modi
- J. Heyrovsky Institute of Physical Chemistry
- Academy of Sciences of the Czech Republic
- 182 23 Prague 8
- Czech Republic
| | - Urvi Panchal
- Department of Chemistry
- University School of Sciences
- Gujarat University
- Ahmedabad
- India
| | - Chirag Patel
- Department of Botany
- Bioinformatics and Climate Change Impacts Management
- University School of Science
- Gujarat University
- Ahmedabad-380 009
| | - Keyur Bhatt
- Department of Chemistry
- Ganpat University
- Kherwa
- India
| | - Shuvankar Dey
- Department of Chemistry
- University School of Sciences
- Gujarat University
- Ahmedabad
- India
| | - Divya Mishra
- Department of Chemistry
- University School of Sciences
- Gujarat University
- Ahmedabad
- India
| | - V. K. Jain
- Department of Chemistry
- University School of Sciences
- Gujarat University
- Ahmedabad
- India
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14
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Wiederoder MS, Nallon EC, Weiss M, McGraw SK, Schnee VP, Bright CJ, Polcha MP, Paffenroth R, Uzarski JR. Graphene Nanoplatelet-Polymer Chemiresistive Sensor Arrays for the Detection and Discrimination of Chemical Warfare Agent Simulants. ACS Sens 2017; 2:1669-1678. [PMID: 29019400 DOI: 10.1021/acssensors.7b00550] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A cross-reactive array of semiselective chemiresistive sensors made of polymer-graphene nanoplatelet (GNP) composite coated electrodes was examined for detection and discrimination of chemical warfare agents (CWA). The arrays employ a set of chemically diverse polymers to generate a unique response signature for multiple CWA simulants and background interferents. The developed sensors' signal remains consistent after repeated exposures to multiple analytes for up to 5 days with a similar signal magnitude across different replicate sensors with the same polymer-GNP coating. An array of 12 sensors each coated with a different polymer-GNP mixture was exposed 100 times to a cycle of single analyte vapors consisting of 5 chemically similar CWA simulants and 8 common background interferents. The collected data was vector normalized to reduce concentration dependency, z-scored to account for baseline drift and signal-to-noise ratio, and Kalman filtered to reduce noise. The processed data was dimensionally reduced with principal component analysis and analyzed with four different machine learning algorithms to evaluate discrimination capabilities. For 5 similarly structured CWA simulants alone 100% classification accuracy was achieved. For all analytes tested 99% classification accuracy was achieved demonstrating the CWA discrimination capabilities of the developed system. The novel sensor fabrication methods and data processing techniques are attractive for development of sensor platforms for discrimination of CWA and other classes of chemical vapors.
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Affiliation(s)
- Michael S. Wiederoder
- Natick Soldier Research, Development and Engineering Center, United States Army, Natick, Massachusetts 01760, United States
| | - Eric C. Nallon
- Communications-Electronics
Research, Development and Engineering Center, United States Army, Fort Belvoir, Virginia 22060, United States
- Black Cow Analytics LLC, Charlottesville, Virginia 22936, United States
| | | | - Shannon K. McGraw
- Natick Soldier Research, Development and Engineering Center, United States Army, Natick, Massachusetts 01760, United States
| | - Vincent P. Schnee
- Communications-Electronics
Research, Development and Engineering Center, United States Army, Fort Belvoir, Virginia 22060, United States
| | - Collin J. Bright
- Communications-Electronics
Research, Development and Engineering Center, United States Army, Fort Belvoir, Virginia 22060, United States
| | - Michael P. Polcha
- Communications-Electronics
Research, Development and Engineering Center, United States Army, Fort Belvoir, Virginia 22060, United States
| | - Randy Paffenroth
- Department
of Mathematical Sciences, Worcester Polytechnic University, Worcester, Massachusetts 01609, United States
| | - Joshua R. Uzarski
- Natick Soldier Research, Development and Engineering Center, United States Army, Natick, Massachusetts 01760, United States
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15
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Bolse N, Eckstein R, Habermehl A, Hernandez-Sosa G, Eschenbaum C, Lemmer U. Reliability of Aerosol Jet Printed Fluorescence Quenching Sensor Arrays for the Identification and Quantification of Explosive Vapors. ACS OMEGA 2017; 2:6500-6505. [PMID: 31457251 PMCID: PMC6645289 DOI: 10.1021/acsomega.7b01263] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 09/12/2017] [Indexed: 05/14/2023]
Abstract
One of the primary challenges in explosive detection using fluorescence quenching is the identification and quantification of detected targets. In this work, we explore the reliability of aerosol jet printed sensor arrays for the discrimination of nitroaromatic traces using linear discriminant analysis (LDA). We varied the amount of the deposited material by controlling the printer's shutter to investigate the impact on the detection reliability. For a twofold variation of the amount of the deposited material, we report excellent classification rates between 81 and 96% for the discrimination of nitrobenzene, 1,3-dinitrobenzene, and 2,4-dinitrotoluene at 1, 3, and 10 parts per billion in air, respectively. Our results close to the detection limits indicate a remarkable identification and quantification of explosive trace vapors because of high control of the printing process. This work demonstrates the high potential of digitally printed fluorescence quenching sensor arrays and the excellent capabilities of LDA as a simple supervised statistical learning technique.
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Affiliation(s)
- Nico Bolse
- Light
Technology Institute, Karlsruhe Institute
of Technology (KIT), Engesserstrasse 13, 76131 Karlsruhe, Germany
- E-mail: (N.B.)
| | - Ralph Eckstein
- Light
Technology Institute, Karlsruhe Institute
of Technology (KIT), Engesserstrasse 13, 76131 Karlsruhe, Germany
- InnovationLab
GmbH, Speyerer Str. 4, 69115 Heidelberg, Germany
| | - Anne Habermehl
- Light
Technology Institute, Karlsruhe Institute
of Technology (KIT), Engesserstrasse 13, 76131 Karlsruhe, Germany
| | - Gerardo Hernandez-Sosa
- Light
Technology Institute, Karlsruhe Institute
of Technology (KIT), Engesserstrasse 13, 76131 Karlsruhe, Germany
- InnovationLab
GmbH, Speyerer Str. 4, 69115 Heidelberg, Germany
| | - Carsten Eschenbaum
- Light
Technology Institute, Karlsruhe Institute
of Technology (KIT), Engesserstrasse 13, 76131 Karlsruhe, Germany
- InnovationLab
GmbH, Speyerer Str. 4, 69115 Heidelberg, Germany
- Institute
of Microstructure Technology, Karlsruhe
Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Uli Lemmer
- Light
Technology Institute, Karlsruhe Institute
of Technology (KIT), Engesserstrasse 13, 76131 Karlsruhe, Germany
- InnovationLab
GmbH, Speyerer Str. 4, 69115 Heidelberg, Germany
- Institute
of Microstructure Technology, Karlsruhe
Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
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16
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Hassanzadeh J, Khataee A, Mosaei Oskoei Y, Fattahi H, Bagheri N. Selective chemiluminescence method for the determination of trinitrotoluene based on molecularly imprinted polymer-capped ZnO quantum dots. NEW J CHEM 2017. [DOI: 10.1039/c7nj01802a] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A novel molecularly imprinted polymer (MIP) based chemiluminescence (CL) assay is described for the determination of TNT in environmental samples.
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Affiliation(s)
- Javad Hassanzadeh
- Research Laboratory of Advanced Water and Wastewater Treatment Processes
- Department of Applied Chemistry
- Faculty of Chemistry
- University of Tabriz
- 51666-16471 Tabriz
| | - Alireza Khataee
- Research Laboratory of Advanced Water and Wastewater Treatment Processes
- Department of Applied Chemistry
- Faculty of Chemistry
- University of Tabriz
- 51666-16471 Tabriz
| | - Yones Mosaei Oskoei
- North-West Institute of Science and Technology
- Malek Ashtar University of Technology
- Urmia 5713616864
- Iran
| | - Hassan Fattahi
- North-West Institute of Science and Technology
- Malek Ashtar University of Technology
- Urmia 5713616864
- Iran
| | - Nafiseh Bagheri
- Department of Chemistry
- Faculty of Science
- Azarbaijan Shahid Madani University
- Tabriz
- Iran
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17
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Brulé T, Granger G, Bukar N, Deschênes-Rancourt C, Havard T, Schmitzer AR, Martel R, Masson JF. A field-deployed surface plasmon resonance (SPR) sensor for RDX quantification in environmental waters. Analyst 2017; 142:2161-2168. [DOI: 10.1039/c7an00216e] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A field-deployable surface plasmon resonance (SPR) sensor is reported for the detection RDX at ppb concentration in environmental samples.
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Affiliation(s)
- Thibault Brulé
- Department of Chemistry
- Université de Montréal
- Montreal
- H3C 3J7 Canada
| | | | - Natalia Bukar
- Department of Chemistry
- Université de Montréal
- Montreal
- H3C 3J7 Canada
| | | | - Thierry Havard
- Department of Chemistry
- Université de Montréal
- Montreal
- H3C 3J7 Canada
| | | | - Richard Martel
- Institut national de la recherche scientifique
- Eau Terre Environnement Centre (ETE-INRS)
- Quebec city
- Canada
| | - Jean-Francois Masson
- Department of Chemistry
- Université de Montréal
- Montreal
- H3C 3J7 Canada
- Centre for Self-Assembled Chemical Structures (CSACS)
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18
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Nagarkar SS, Desai AV, Ghosh SK. Engineering metal–organic frameworks for aqueous phase 2,4,6-trinitrophenol (TNP) sensing. CrystEngComm 2016. [DOI: 10.1039/c6ce00244g] [Citation(s) in RCA: 169] [Impact Index Per Article: 21.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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19
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Nallon EC, Schnee VP, Bright CJ, Polcha MP, Li Q. Discrimination Enhancement with Transient Feature Analysis of a Graphene Chemical Sensor. Anal Chem 2015; 88:1401-6. [DOI: 10.1021/acs.analchem.5b04050] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Eric C. Nallon
- RDECOM
CERDEC Night Vision and Electronic Sensors Directorate, United States Army, Fort Belvoir, Virginia 22060, United States
- Department
of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia 22030, United States
| | - Vincent P. Schnee
- RDECOM
CERDEC Night Vision and Electronic Sensors Directorate, United States Army, Fort Belvoir, Virginia 22060, United States
| | - Collin J. Bright
- CACI International Incorporated, Arlington, Virginia 22201, United States
| | | | - Qiliang Li
- Department
of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia 22030, United States
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20
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Bright CJ, Nallon EC, Polcha MP, Schnee VP. Quantum Dot and Polymer Composite Cross-Reactive Array for Chemical Vapor Detection. Anal Chem 2015; 87:12270-5. [DOI: 10.1021/acs.analchem.5b03559] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Collin J. Bright
- RDECOM
CERDEC Night Vision and Electronic Sensors Directorate, United States Army, Fort Belvoir, Virginia 22060, United States
- CACI International Incorporated Arlington, Virginia 22201, United States
| | - Eric C. Nallon
- RDECOM
CERDEC Night Vision and Electronic Sensors Directorate, United States Army, Fort Belvoir, Virginia 22060, United States
| | - Michael P. Polcha
- RDECOM
CERDEC Night Vision and Electronic Sensors Directorate, United States Army, Fort Belvoir, Virginia 22060, United States
- Fulcrum IT Services, Centerville, Virginia 20120, United States
| | - Vincent P. Schnee
- RDECOM
CERDEC Night Vision and Electronic Sensors Directorate, United States Army, Fort Belvoir, Virginia 22060, United States
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21
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Nallon EC, Schnee VP, Bright C, Polcha MP, Li Q. Chemical Discrimination with an Unmodified Graphene Chemical Sensor. ACS Sens 2015. [DOI: 10.1021/acssensors.5b00029] [Citation(s) in RCA: 110] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Eric C. Nallon
- RDECOM CERDEC Night Vision and Electronic Sensors Directorate, United States Army, Fort Belvoir, Virginia 22060, United States
- Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia 22030, United States
| | - Vincent P. Schnee
- RDECOM CERDEC Night Vision and Electronic Sensors Directorate, United States Army, Fort Belvoir, Virginia 22060, United States
| | - Collin Bright
- CACI International Inc, Arlington, Virginia 22201, United States
| | | | - Qiliang Li
- Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia 22030, United States
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22
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Xu S, Lu H. Ratiometric fluorescence and mesoporous structure dual signal amplification for sensitive and selective detection of TNT based on MIP@QD fluorescence sensors. Chem Commun (Camb) 2015; 51:3200-3. [DOI: 10.1039/c4cc09766a] [Citation(s) in RCA: 100] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
MIP@QD fluorescence sensors combined with ratiometric fluorescence techniques and mesoporous silica materials for highly sensitive detection of TNT.
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Affiliation(s)
- Shoufang Xu
- School of Chemistry and Chemical Engineering
- Linyi University
- Linyi 276005
- China
| | - Hongzhi Lu
- School of Chemistry and Chemical Engineering
- Linyi University
- Linyi 276005
- China
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23
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Genua M, Garçon LA, Mounier V, Wehry H, Buhot A, Billon M, Calemczuk R, Bonnaffé D, Hou Y, Livache T. SPR imaging based electronic tongue via landscape images for complex mixture analysis. Talanta 2014; 130:49-54. [PMID: 25159378 DOI: 10.1016/j.talanta.2014.06.038] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Revised: 06/14/2014] [Accepted: 06/19/2014] [Indexed: 10/25/2022]
Abstract
Electronic noses/tongues (eN/eT) have emerged as promising alternatives for analysis of complex mixtures in the domain of food and beverage quality control. We have recently developed an electronic tongue by combining surface plasmon resonance imaging (SPRi) with an array of non-specific and cross-reactive receptors prepared by simply mixing two small molecules in varying and controlled proportions and allowing the mixtures to self-assemble on the SPRi prism surface. The obtained eT generated novel and unique 2D continuous evolution profiles (CEPs) and 3D continuous evolution landscapes (CELs) based on which the differentiation of complex mixtures such as red wine, beer and milk were successful. The preliminary experiments performed for monitoring the deterioration of UHT milk demonstrated its potential for quality control applications. Furthermore, the eT exhibited good repeatability and stability, capable of operating after a minimum storage period of 5 months.
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Affiliation(s)
- Maria Genua
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France
| | - Laurie-Amandine Garçon
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France
| | - Violette Mounier
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France
| | - Hillary Wehry
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France
| | - Arnaud Buhot
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France
| | - Martial Billon
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France
| | - Roberto Calemczuk
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France
| | - David Bonnaffé
- ICMMO/G2M/LCOM, UMR 8182 (CNRS-UPS), LabEx LERMIT, Université Paris-Sud, 91405 Orsay, France
| | - Yanxia Hou
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France.
| | - Thierry Livache
- SPrAM, UMR 5819 (CEA-CNRS-UJF-Grenoble 1), Institut Nanosciences et Cryogénie, CEA-Grenoble, 38054 Grenoble, France
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24
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Köstereli Z, Scopelliti R, Severin K. Pattern-based sensing of aminoglycosides with fluorescent amphiphiles. Chem Sci 2014. [DOI: 10.1039/c4sc00737a] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
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25
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Xu S, Lu H, Li J, Song X, Wang A, Chen L, Han S. Dummy molecularly imprinted polymers-capped CdTe quantum dots for the fluorescent sensing of 2,4,6-trinitrotoluene. ACS APPLIED MATERIALS & INTERFACES 2013; 5:8146-54. [PMID: 23876063 DOI: 10.1021/am4022076] [Citation(s) in RCA: 181] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Molecularly imprinted polymers (MIPs) with trinitrophenol (TNP) as a dummy template molecule capped with CdTe quantum dots (QDs) were prepared using 3-aminopropyltriethoxy silane (APTES) as the functional monomer and tetraethoxysilane (TEOS) as the cross linker through a seed-growth method via a sol-gel process (i.e., DMIP@QDs) for the sensing of 2,4,6-trinitrotoluene (TNT) on the basis of electron-transfer-induced fluorescence quenching. With the presence and increase of TNT in sample solutions, a Meisenheimer complex was formed between TNT and the primary amino groups on the surface of the QDs. The energy of the QDs was transferred to the complex, resulting in the quenching of the QDs and thus decreasing the fluorescence intensity, which allowed the TNT to be sensed optically. DMIP@QDs generated a significantly reduced fluorescent intensity within less than 10 min upon binding TNT. The fluorescence-quenching fractions of the sensor presented a satisfactory linearity with TNT concentrations in the range of 0.8-30 μM, and its limit of detection could reach 0.28 μM. The sensor exhibited distinguished selectivity and a high binding affinity to TNT over its possibly competing molecules of 2,4-dinitrophenol (DNP), 4-nitrophenol (4-NP), phenol, and dinitrotoluene (DNT) because there are more nitro groups in TNT and therefore a stronger electron-withdrawing ability and because it has a high similarity in shape and volume to TNP. The sensor was successfully applied to determine the amount of TNT in soil samples, and the average recoveries of TNT at three spiking levels ranged from 90.3 to 97.8% with relative standard deviations below 5.12%. The results provided an effective way to develop sensors for the rapid recognition and determination of hazardous materials from complex matrices.
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Affiliation(s)
- Shoufang Xu
- School of Chemistry & Chemical Engineering, Linyi University, Linyi 276005, China
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26
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Lee B, Chen S, Heinis C, Scopelliti R, Severin K. Pattern-Based Sensing of Peptides and Aminoglycosides with a Single Molecular Probe. Org Lett 2013; 15:3456-9. [DOI: 10.1021/ol401495c] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Boram Lee
- Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Shiyu Chen
- Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Christian Heinis
- Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Rosario Scopelliti
- Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Kay Severin
- Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
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27
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Fast and sensitive recognition of various explosive compounds using Raman spectroscopy and principal component analysis. J Mol Struct 2013. [DOI: 10.1016/j.molstruc.2013.01.079] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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28
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Diehl KL, Anslyn EV. Array sensing using optical methods for detection of chemical and biological hazards. Chem Soc Rev 2013; 42:8596-611. [DOI: 10.1039/c3cs60136f] [Citation(s) in RCA: 247] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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29
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Ma Y, Li H, Peng S, Wang L. Highly selective and sensitive fluorescent paper sensor for nitroaromatic explosive detection. Anal Chem 2012; 84:8415-21. [PMID: 22946839 DOI: 10.1021/ac302138c] [Citation(s) in RCA: 187] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Rapid, sensitive, and selective detection of explosives such as 2,4,6-trinitrotoluene (TNT) and 2,4,6-trinitrophenol (TNP), especially using a facile paper sensor, is in high demand for homeland security and public safety. Although many strategies have been successfully developed for the detection of TNT, it is not easy to differentiate the influence from TNP. Also, few methods were demonstrated for the selective detection of TNP. In this work, via a facile and versatile method, 8-hydroxyquinoline aluminum (Alq(3))-based bluish green fluorescent composite nanospheres were successfully synthesized through self-assembly under vigorous stirring and ultrasonic treatment. These polymer-coated nanocomposites are not only water-stable but also highly luminescent. Based on the dramatic and selective fluorescence quenching of the nanocomposites via adding TNP into the aqueous solution, a sensitive and robust platform was developed for visual detection of TNP in the mixture of nitroaromatics including TNT, 2,4-dinitrotoluene (DNT), and nitrobenzene (NB). Meanwhile, the fluorescence intensity is proportional to the concentration of TNP in the range of 0.05-7.0 μg/mL with the 3σ limit of detection of 32.3 ng/mL. By handwriting or finger printing with TNP solution as ink on the filter paper soaked with the fluorescent nanocomposites, the bluish green fluorescence was instantly and dramatically quenched and the dark patterns were left on the paper. Therefore, a convenient and rapid paper sensor for TNP-selective detection was fabricated.
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Affiliation(s)
- Yingxin Ma
- State Key Laboratory of Chemical Resource Engineering, School of Science, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China
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30
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Current trends in explosive detection techniques. Talanta 2012; 88:14-29. [DOI: 10.1016/j.talanta.2011.11.043] [Citation(s) in RCA: 350] [Impact Index Per Article: 29.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2011] [Revised: 10/28/2011] [Accepted: 11/11/2011] [Indexed: 01/08/2023]
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31
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Luminescence sensors applied to water analysis of organic pollutants--an update. SENSORS 2011; 11:11081-102. [PMID: 22247654 PMCID: PMC3251971 DOI: 10.3390/s111211081] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2011] [Revised: 11/09/2011] [Accepted: 11/18/2011] [Indexed: 01/08/2023]
Abstract
The development of chemical sensors for environmental analysis based on fluorescence, phosphorescence and chemiluminescence signals continues to be a dynamic topic within the sensor field. This review covers the fundamentals of this type of sensors, and an update on recent works devoted to quantifying organic pollutants in environmental waters, focusing on advances since about 2005. Among the wide variety of these contaminants, special attention has been paid polycyclic aromatic hydrocarbons, pesticides, explosives and emerging organic pollutants. The potential of coupling optical sensors with multivariate calibration methods in order to improve the selectivity is also discussed.
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He G, Yan N, Yang J, Wang H, Ding L, Yin S, Fang Y. Pyrene-Containing Conjugated Polymer-Based Fluorescent Films for Highly Sensitive and Selective Sensing of TNT in Aqueous Medium. Macromolecules 2011. [DOI: 10.1021/ma200953s] [Citation(s) in RCA: 162] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Gang He
- Key Laboratory of Applied Surface and Colloid Chemistry (Shaanxi Normal University), Ministry of Education, School of Chemistry and Materials Science, Shaanxi Normal University, Xi’an 710062, P. R. China
| | - Ni Yan
- Key Laboratory of Applied Surface and Colloid Chemistry (Shaanxi Normal University), Ministry of Education, School of Chemistry and Materials Science, Shaanxi Normal University, Xi’an 710062, P. R. China
| | - Jiayu Yang
- Key Laboratory of Applied Surface and Colloid Chemistry (Shaanxi Normal University), Ministry of Education, School of Chemistry and Materials Science, Shaanxi Normal University, Xi’an 710062, P. R. China
| | - Hongyue Wang
- Key Laboratory of Applied Surface and Colloid Chemistry (Shaanxi Normal University), Ministry of Education, School of Chemistry and Materials Science, Shaanxi Normal University, Xi’an 710062, P. R. China
| | - Liping Ding
- Key Laboratory of Applied Surface and Colloid Chemistry (Shaanxi Normal University), Ministry of Education, School of Chemistry and Materials Science, Shaanxi Normal University, Xi’an 710062, P. R. China
| | - Shiwei Yin
- Key Laboratory of Applied Surface and Colloid Chemistry (Shaanxi Normal University), Ministry of Education, School of Chemistry and Materials Science, Shaanxi Normal University, Xi’an 710062, P. R. China
| | - Yu Fang
- Key Laboratory of Applied Surface and Colloid Chemistry (Shaanxi Normal University), Ministry of Education, School of Chemistry and Materials Science, Shaanxi Normal University, Xi’an 710062, P. R. China
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