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Massima Mouele ES, Fatoba OO, Babajide O, Badmus KO, Petrik LF. Review of the methods for determination of reactive oxygen species and suggestion for their application in advanced oxidation induced by dielectric barrier discharges. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:9265-9282. [PMID: 29446027 DOI: 10.1007/s11356-018-1392-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 01/25/2018] [Indexed: 06/08/2023]
Abstract
Advanced oxidation processes (AOPs) particularly non-thermal plasmas based on electrical discharges have been widely investigated for water and wastewater treatment. Dielectric barrier discharges (DBDs) generate large amounts of selective and non-selective reactive oxygen species (ROS) such as ozone, hydrogen peroxide, atomic oxygen, superoxide molecular anions and hydroxyl radicals, having been proved to be efficient for water decontamination among various forms of electrical discharge systems. The detection and quantification methods of these oxygen species in non-thermal plasmas have been reviewed. However, their application in dielectric barrier discharge has not been well studied. It is therefore imperative to summarise the various detection and quantification methods for oxygen-based species determination in AOPs, aqueous systems and non-thermal plasma processes. Thereafter, reviewed methods are suggested for the determination of ROS in DBD configurations to understand the consumption trend of these oxidants during treatment of water effluents and to evaluate the performance of the treatment reactor configuration towards the degradation of targeted pollutants.
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Affiliation(s)
- Emile S Massima Mouele
- Environmental and Nano Sciences (ENS) Research Group, Department of Chemistry, University of the Western Cape, Bellville, South Africa.
| | - Olanrewaju Ojo Fatoba
- Environmental and Nano Sciences (ENS) Research Group, Department of Chemistry, University of the Western Cape, Bellville, South Africa
| | - Omotola Babajide
- Mechanical Engineering Department, Cape Peninsula University of Technology, Bellville, South Africa
| | - Kassim O Badmus
- Environmental and Nano Sciences (ENS) Research Group, Department of Chemistry, University of the Western Cape, Bellville, South Africa
| | - Leslie F Petrik
- Environmental and Nano Sciences (ENS) Research Group, Department of Chemistry, University of the Western Cape, Bellville, South Africa
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2
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Kiani S, Minaei S, Ghasemi-Varnamkhasti M. Fusion of artificial senses as a robust approach to food quality assessment. J FOOD ENG 2016. [DOI: 10.1016/j.jfoodeng.2015.10.007] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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3
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Chang N, Lu Y, Mao J, Yang J, Li M, Zhang S, Liu Y. Ratiometric fluorescence sensor arrays based on quantum dots for detection of proteins. Analyst 2016; 141:2046-52. [DOI: 10.1039/c5an02545a] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Optical cross-reactive sensor arrays have recently been demonstrated as a powerful tool for high-throughput protein analysis.
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Affiliation(s)
- Ning Chang
- Department of Chemistry
- Capital Normal University
- Beijing
- P.R. China
| | - Yuexiang Lu
- Institute of Nuclear and New Energy Technology
- Tsinghua University
- Beijing
- P.R. China
| | - Jinpeng Mao
- Department of Chemistry
- Capital Normal University
- Beijing
- P.R. China
| | - Jiaoe Yang
- Department of Chemistry
- Capital Normal University
- Beijing
- P.R. China
| | - Mengnan Li
- Department of Chemistry
- Capital Normal University
- Beijing
- P.R. China
| | - Sichun Zhang
- Department of Chemistry
- Tsinghua University
- Beijing
- P.R. China
| | - Yueying Liu
- Department of Chemistry
- Capital Normal University
- Beijing
- P.R. China
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4
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Mao J, Lu Y, Chang N, Yang J, Yang J, Zhang S, Liu Y. A nanoplasmonic probe as a triple channel colorimetric sensor array for protein discrimination. Analyst 2016; 141:4014-7. [DOI: 10.1039/c6an00302h] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The salt-induced aggregation, nanoparticle regrowth and self-assembly behaviors of gold nanoparticles (AuNPs) and DNA conjugates could be changed after interaction with different proteins, generating various color changes and a unique fingerprint pattern for each protein.
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Affiliation(s)
- Jinpeng Mao
- Department of Chemistry
- Capital Normal University
- Beijing
- P. R. China
| | - Yuexiang Lu
- Institute of Nuclear and New Energy Technology
- Tsinghua University
- Beijing 100084
- P. R. China
| | - Ning Chang
- Department of Chemistry
- Capital Normal University
- Beijing
- P. R. China
| | - Jiaoe Yang
- Department of Chemistry
- Capital Normal University
- Beijing
- P. R. China
| | - Jiacheng Yang
- Department of Chemistry
- Capital Normal University
- Beijing
- P. R. China
| | - Sichun Zhang
- Department of Chemistry
- Tsinghua University
- Beijing 100084
- P. R. China
| | - Yueying Liu
- Department of Chemistry
- Capital Normal University
- Beijing
- P. R. China
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5
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Yang F, Guo Z. Comparison of the enhanced gas sensing properties of tin dioxide samples doped with different catalytic transition elements. J Colloid Interface Sci 2015; 448:265-74. [DOI: 10.1016/j.jcis.2015.02.045] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 02/16/2015] [Indexed: 11/27/2022]
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Abstract
The ability to precisely control the morphology and dimension coupled with the tunable surface reactivity has led to the widespread investigation of nanomaterials for various device applications. The associated high surface area to volume ratio implies that large numbers of atom are residing on the surface and are available for interaction. Accordingly, nanomaterials have demonstrated the potential to realize sensors with ultrahigh sensitivities and fast response kinetics. The smaller size further provides the possibility of miniaturization and integration of large number of devices. All these properties makes them an attractive candidate for the fabrication of electronic nose or e-nose. E-nose is an intelligent chemical-array sensor system that mimics the mammalian olfactory system. The present paper critically reviews the recent development in the field of nanomaterials based e-nose devices. In particular, this paper is focused on the description of nanomaterials for e-nose application, specifically on the promising approaches that are going to contribute towards the further development of this field. Various issues related to successful utilization of different nanomaterials for commercial application are discussed, taking help from the literature. The review concludes by briefing the important steps taken towards the commercialization and highlighting the loopholes that are still to be addressed.
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7
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Hu J, Jiang X, Wu L, Xu K, Hou X, Lv Y. UV-Induced Surface Photovoltage and Photoluminescence on n-Si/TiO2/TiO2:Eu for Dual-Channel Sensing of Volatile Organic Compounds. Anal Chem 2011; 83:6552-8. [DOI: 10.1021/ac2008459] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jing Hu
- College of Chemistry, and ‡Analytical & Testing Center, Sichuan University, Chengdu, Sichuan 610064, China
| | - Xiaoming Jiang
- College of Chemistry, and ‡Analytical & Testing Center, Sichuan University, Chengdu, Sichuan 610064, China
| | - Lan Wu
- College of Chemistry, and ‡Analytical & Testing Center, Sichuan University, Chengdu, Sichuan 610064, China
| | - Kailai Xu
- College of Chemistry, and ‡Analytical & Testing Center, Sichuan University, Chengdu, Sichuan 610064, China
| | - Xiandeng Hou
- College of Chemistry, and ‡Analytical & Testing Center, Sichuan University, Chengdu, Sichuan 610064, China
| | - Yi Lv
- College of Chemistry, and ‡Analytical & Testing Center, Sichuan University, Chengdu, Sichuan 610064, China
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8
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Liu D, Liu M, Liu G, Zhang S, Wu Y, Zhang X. Dual-Channel Sensing of Volatile Organic Compounds with Semiconducting Nanoparticles. Anal Chem 2009; 82:66-8. [DOI: 10.1021/ac902422s] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Da Liu
- Department of Chemistry, Key Laboratory for Atomic and Molecular Nanosciences of the Education Ministry, Tsinghua University, Beijing 100084, P. R. China, Technical Centre, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian Liaoning 116001, P.R. China, and Analytical Centre, Institute of Chemical Defence, Beijing 102205, P.R. China
| | - Mingyang Liu
- Department of Chemistry, Key Laboratory for Atomic and Molecular Nanosciences of the Education Ministry, Tsinghua University, Beijing 100084, P. R. China, Technical Centre, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian Liaoning 116001, P.R. China, and Analytical Centre, Institute of Chemical Defence, Beijing 102205, P.R. China
| | - Guohong Liu
- Department of Chemistry, Key Laboratory for Atomic and Molecular Nanosciences of the Education Ministry, Tsinghua University, Beijing 100084, P. R. China, Technical Centre, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian Liaoning 116001, P.R. China, and Analytical Centre, Institute of Chemical Defence, Beijing 102205, P.R. China
| | - Sichun Zhang
- Department of Chemistry, Key Laboratory for Atomic and Molecular Nanosciences of the Education Ministry, Tsinghua University, Beijing 100084, P. R. China, Technical Centre, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian Liaoning 116001, P.R. China, and Analytical Centre, Institute of Chemical Defence, Beijing 102205, P.R. China
| | - Yayan Wu
- Department of Chemistry, Key Laboratory for Atomic and Molecular Nanosciences of the Education Ministry, Tsinghua University, Beijing 100084, P. R. China, Technical Centre, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian Liaoning 116001, P.R. China, and Analytical Centre, Institute of Chemical Defence, Beijing 102205, P.R. China
| | - Xinrong Zhang
- Department of Chemistry, Key Laboratory for Atomic and Molecular Nanosciences of the Education Ministry, Tsinghua University, Beijing 100084, P. R. China, Technical Centre, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian Liaoning 116001, P.R. China, and Analytical Centre, Institute of Chemical Defence, Beijing 102205, P.R. China
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Kuzmanich G, Gard MN, Garcia-Garibay MA. Photonic Amplification by a Singlet-State Quantum Chain Reaction in the Photodecarbonylation of Crystalline Diarylcyclopropenones. J Am Chem Soc 2009; 131:11606-14. [DOI: 10.1021/ja9043449] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Gregory Kuzmanich
- Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90024-1569
| | - Matthew N. Gard
- Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90024-1569
| | - Miguel A. Garcia-Garibay
- Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90024-1569
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10
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Kitamura M, Shabbir SH, Anslyn EV. Guidelines for Pattern Recognition Using Differential Receptors and Indicator Displacement Assays. J Org Chem 2009; 74:4479-89. [DOI: 10.1021/jo900433j] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Masanori Kitamura
- Department of Chemistry and Biochemistry, The University of Texas at Austin, Austin, Texas 78712
| | - Shagufta H. Shabbir
- Department of Chemistry and Biochemistry, The University of Texas at Austin, Austin, Texas 78712
| | - Eric V. Anslyn
- Department of Chemistry and Biochemistry, The University of Texas at Austin, Austin, Texas 78712
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11
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Jin C, Zellers ET. Limits of Recognition for Binary and Ternary Vapor Mixtures Determined with Multitransducer Arrays. Anal Chem 2008; 80:7283-93. [DOI: 10.1021/ac8008912] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Chunguang Jin
- Center for Wireless Integrated Microsystems, Department of Environmental Health Sciences, and Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109-2029
| | - Edward T. Zellers
- Center for Wireless Integrated Microsystems, Department of Environmental Health Sciences, and Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109-2029
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12
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Haddad R, Carmel L, Sobel N, Harel D. Predicting the receptive range of olfactory receptors. PLoS Comput Biol 2008; 4:e18. [PMID: 18248088 PMCID: PMC2222922 DOI: 10.1371/journal.pcbi.0040018] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2006] [Accepted: 12/04/2007] [Indexed: 11/25/2022] Open
Abstract
Although the family of genes encoding for olfactory receptors was identified more than 15 years ago, the difficulty of functionally expressing these receptors in an heterologous system has, with only some exceptions, rendered the receptive range of given olfactory receptors largely unknown. Furthermore, even when successfully expressed, the task of probing such a receptor with thousands of odors/ligands remains daunting. Here we provide proof of concept for a solution to this problem. Using computational methods, we tune an electronic nose to the receptive range of an olfactory receptor. We then use this electronic nose to predict the receptors' response to other odorants. Our method can be used to identify the receptive range of olfactory receptors, and can also be applied to other questions involving receptor–ligand interactions in non-olfactory settings. A key goal in biology is to identify specific ligands for specific receptors. One example is where the ligand is a drug. In turn, in the olfactory system the ligand is the odorant that binds to olfactory receptors. There are many olfactory receptor types, and which odorants will activate which receptors remains largely unknown. One way to answer this is to systematically vary the molecular features of ligands and to measure the olfactory receptor response. However, the vast number of molecular features and their combinations renders such an effort potentially unsolvable. Here, rather than looking at the trees (each molecular feature), we looked at the forest (the smell they generate). We used a device called an electronic nose that generates a patterned response to odorants. We then obtained the response to a set of odorants that are known to activate a particular olfactory receptor, and we used this pattern to predict the response of that receptor to other odorants. We found that, on average in three out of four we could predict the response of olfactory receptors. This result provides a new method for probing the olfactory system, and also suggests a novel method for identifying potential drugs.
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Affiliation(s)
- Rafi Haddad
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel.
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13
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14
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Potyrailo RA, Mirsky VM. Combinatorial and High-Throughput Development of Sensing Materials: The First 10 Years. Chem Rev 2008; 108:770-813. [DOI: 10.1021/cr068127f] [Citation(s) in RCA: 214] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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15
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Affiliation(s)
- Frank Röck
- Institute of Physical and Theoretical Chemistry, University of Tübingen, Auf der Morgenstelle 15, Tübingen, Germany
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16
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Jin C, Kurzawski P, Hierlemann A, Zellers ET. Evaluation of Multitransducer Arrays for the Determination of Organic Vapor Mixtures. Anal Chem 2007; 80:227-36. [DOI: 10.1021/ac0715120] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Chunguang Jin
- Center for Wireless Integrated MicroSystems, Department of Environmental Health Sciences, and Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48105, and Physical Electronics Laboratory, ETH Zurich, HPT-H8, 8093 Zurich, Switzerland
| | - Petra Kurzawski
- Center for Wireless Integrated MicroSystems, Department of Environmental Health Sciences, and Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48105, and Physical Electronics Laboratory, ETH Zurich, HPT-H8, 8093 Zurich, Switzerland
| | - Andreas Hierlemann
- Center for Wireless Integrated MicroSystems, Department of Environmental Health Sciences, and Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48105, and Physical Electronics Laboratory, ETH Zurich, HPT-H8, 8093 Zurich, Switzerland
| | - Edward T. Zellers
- Center for Wireless Integrated MicroSystems, Department of Environmental Health Sciences, and Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48105, and Physical Electronics Laboratory, ETH Zurich, HPT-H8, 8093 Zurich, Switzerland
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17
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Sysoev VV, Goschnick J, Schneider T, Strelcov E, Kolmakov A. A gradient microarray electronic nose based on percolating SnO(2) nanowire sensing elements. NANO LETTERS 2007; 7:3182-3188. [PMID: 17924710 DOI: 10.1021/nl071815+] [Citation(s) in RCA: 99] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Fabrication, characterization, and tests of the practical gradient microarray electronic nose with SnO(2) nanowire gas-sensing elements are reported. This novel device has demonstrated an excellent performance as a gas sensor and e-nose system capable of promptly detecting and reliably discriminating between several reducing gases in air at a ppb level of concentration. It has been found that, in addition to the temperature gradient across the nanowire layer, the density and morphological inhomogeneities of nanowire mats define the discriminating power of the electronic nose.
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Affiliation(s)
- Victor V Sysoev
- Department of Physics, Saratov State Technical University, Saratov 410054, Russia.
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18
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Dutta R, Dutta R. Intelligent Bayes Classifier (IBC) for ENT infection classification in hospital environment. Biomed Eng Online 2006; 5:65. [PMID: 17176476 PMCID: PMC1764885 DOI: 10.1186/1475-925x-5-65] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2006] [Accepted: 12/18/2006] [Indexed: 11/10/2022] Open
Abstract
Electronic Nose based ENT bacteria identification in hospital environment is a classical and challenging problem of classification. In this paper an electronic nose (e-nose), comprising a hybrid array of 12 tin oxide sensors (SnO2) and 6 conducting polymer sensors has been used to identify three species of bacteria, Escherichia coli (E. coli), Staphylococcus aureus (S. aureus), and Pseudomonas aeruginosa (P. aeruginosa) responsible for ear nose and throat (ENT) infections when collected as swab sample from infected patients and kept in ISO agar solution in the hospital environment. In the next stage a sub-classification technique has been developed for the classification of two different species of S. aureus, namely Methicillin-Resistant S. aureus (MRSA) and Methicillin Susceptible S. aureus (MSSA). An innovative Intelligent Bayes Classifier (IBC) based on "Baye's theorem" and "maximum probability rule" was developed and investigated for these three main groups of ENT bacteria. Along with the IBC three other supervised classifiers (namely, Multilayer Perceptron (MLP), Probabilistic neural network (PNN), and Radial Basis Function Network (RBFN)) were used to classify the three main bacteria classes. A comparative evaluation of the classifiers was conducted for this application. IBC outperformed MLP, PNN and RBFN. The best results suggest that we are able to identify and classify three bacteria main classes with up to 100% accuracy rate using IBC. We have also achieved 100% classification accuracy for the classification of MRSA and MSSA samples with IBC. We can conclude that this study proves that IBC based e-nose can provide very strong and rapid solution for the identification of ENT infections in hospital environment.
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Green O, Smith NA, Ellis AB, Burstyn JN. AgBF4-Impregnated Poly(vinyl phenyl ketone): An Ethylene Sensing Film. J Am Chem Soc 2004; 126:5952-3. [PMID: 15137745 DOI: 10.1021/ja039203o] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Incorporation of silver tetrafluoroborate (AgBF4) into poly(vinyl phenyl ketone) (PVPK) renders the photoluminescent polymer responsive to ethylene. Polymer films prepared with a 2:1 ratio of Ag+ ions to polymer acetophenone groups responded with a quench of photoluminescence. Conditioned films showed a luminescence quench that was proportional to ethylene concentration before saturation occurred. Stern-Volmer analysis of the photoluminescence response suggested the presence of sites that were accessible and sites that were inaccessible to ethylene. Perturbations in polymer-metal interactions were monitored with infrared spectroscopy, revealing changes upon Ag+ incorporation, polymer film conditioning, and exposure to ethylene.
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Affiliation(s)
- Omar Green
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin 53706, USA
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Abstract
We propose a setup for an odor communication system. Its different parts are described, and ways to realize them are outlined. Our scheme enables an output device-the whiffer-to release an imitation of an odorant read in by an input device-the sniffer-upon command. The heart of the system is the novel algorithmic scheme that makes the scheme feasible. We are currently at work researching and developing some of the components that constitute the algorithm, and we hope that the description of the overall scheme in this paper will help to get other groups to join in this effort.
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Affiliation(s)
- D Harel
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot 76100, Israel.
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22
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Liang C, Yuan CY, Warmack RJ, Barnes CE, Dai S. Ionic liquids: a new class of sensing materials for detection of organic vapors based on the use of a quartz crystal microbalance. Anal Chem 2002; 74:2172-6. [PMID: 12033323 DOI: 10.1021/ac011007h] [Citation(s) in RCA: 113] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
A QCM device employing ionic liquids as the sensing materials for organic vapors has been developed and evaluated. The sensing mechanism is based on the fact that the viscosity of the ionic liquid membrane decreases rapidly due to solubilization of analytes in the ionic liquids. This change in viscosity, which varies with the chemical species of the vapors and the types of ionic liquids, results in a frequency shift of the corresponding quartz crystal. The QCM sensor demonstrated a rapid response (average response time of less than 2 s) to organic vapors with an excellent reversibility because of the fast diffusion of analytes in ionic liquids. Furthermore, the ionic liquids, with zero vapor pressure and stable chemical properties, ensure a long-term shelf life for the sensor.
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Affiliation(s)
- Chengdu Liang
- Chemical Sciences Division, Oak Ridge National Laboratory, Tennessee 37831-6181, USA
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24
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Stetter JR, Penrose WR. Understanding Chemical Sensors and Chemical Sensor Arrays (Electronic Noses): Past, Present, and Future. ACTA ACUST UNITED AC 2002. [DOI: 10.1002/1616-8984(200201)10:1<189::aid-seup189>3.0.co;2-n] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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25
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Lavigne JJ, Anslyn EV. Sensing A Paradigm Shift in the Field of Molecular Recognition: From Selective to Differential Receptors. Angew Chem Int Ed Engl 2001; 40:3118-3130. [DOI: 10.1002/1521-3773(20010903)40:17<3118::aid-anie3118>3.0.co;2-y] [Citation(s) in RCA: 470] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2000] [Indexed: 11/08/2022]
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26
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Lavigne JJ, Anslyn EV. Aufspüren eines Paradigmenwechsels auf dem Gebiet der molekularen Erkennung: von den selektiven Rezeptoren zu den differenziellen Rezeptoren. Angew Chem Int Ed Engl 2001. [DOI: 10.1002/1521-3757(20010903)113:17<3212::aid-ange3212>3.0.co;2-t] [Citation(s) in RCA: 80] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Montag S, Frank M, Ulmer H, Wernet D, Göpel W, Rammensee HG. "Electronic nose" detects major histocompatibility complex-dependent prerenal and postrenal odor components. Proc Natl Acad Sci U S A 2001; 98:9249-54. [PMID: 11459940 PMCID: PMC55406 DOI: 10.1073/pnas.161266398] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Mice prefer to mate with individuals expressing different MHC genes from their own. Volatile components presenting MHC-dependent odor types are present in urine and can be detected by mice, as shown by extensive behavioral studies. Similar odor types are suspected to influence human behavior as well. Although a recent report indicates that MHC expression influences the ratio of volatile compounds such as phenylacetic acid, so far no other means than studying the behavior of mice or rats has been available to assess odor types. Here, we report the ability of a gas sensor array (referred to as "electronic nose") to detect MHC-dependent odor types. The electronic nose consists of an array of chemophysical detectors, in our case quartz crystal microbalances and semiconducting metal-oxide sensors that change frequency or conductivity upon binding of very small numbers of individual molecules present in the gas phase of odorous fluids. The pattern of changes is characteristic for a particular smell. Our electronic nose distinguishes the urine odor types of MHC congenic mouse strains, MHC class I mutant mice, and HLA-A2 transgenic mice. In addition, MHC-dependent odor types can be detected in serum. The device also clearly differentiates between individual odor types of human sera from HLA homozygous individuals; however, HLA expression seems to have only a secondary influence. Thus, odor-type research can now be carried out with an objective and fast through-put system independent of behavioral studies.
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Affiliation(s)
- S Montag
- Department of Immunology, Institute for Cell Biology, Institute for Physical Chemistry, and Department of Transfusion Medicine, University of Tübingen, D-72076 Tübingen, Germany
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Frank M, Ulmer H, Ruiz J, Visani P, Weimar U. Complementary analytical measurements based upon gas chromatography-mass spectrometry, sensor system and human sensory panel: a case study dealing with packaging materials. Anal Chim Acta 2001. [DOI: 10.1016/s0003-2670(00)01316-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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29
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Jurs PC, Bakken GA, McClelland HE. Computational methods for the analysis of chemical sensor array data from volatile analytes. Chem Rev 2000; 100:2649-78. [PMID: 11749299 DOI: 10.1021/cr9800964] [Citation(s) in RCA: 315] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- P C Jurs
- Chemistry Department, Pennsylvania State University, 152 Davey Laboratory, University Park, Pennsylvania 16802
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Polk BJ, Smith JA, DeWeerth SP, Zhou Z, Janata J, Domansky K. Design of Solid State Array for Simultaneous Potentiometric and Impedance Sensing in Gas Phase. ELECTROANAL 1999. [DOI: 10.1002/(sici)1521-4109(199907)11:10/11<707::aid-elan707>3.0.co;2-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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