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« Previous AbstractDry-Hopping to Modify the Aroma of Alcohol-Free Beer on a Molecular Level-Loss and Transfer of Odor-Active Compounds    Next AbstractImprovement of sensitivity of surface plasmon resonance imaging for the gas-phase detection of volatile organic compounds »

Anal Chem


Title:Highly-Selective Optoelectronic Nose Based on Surface Plasmon Resonance Imaging for Sensing Volatile Organic Compounds
Author(s):Brenet S; John-Herpin A; Gallat FX; Musnier B; Buhot A; Herrier C; Rousselle T; Livache T; Hou Y;
Address:"Uni. Grenoble Alpes, CEA , CNRS, INAC-SyMMES, 38000 Grenoble , France. Aryballe Technologies , 38000 Grenoble , France"
Journal Title:Anal Chem
Year:2018
Volume:20180801
Issue:16
Page Number:9879 - 9887
DOI: 10.1021/acs.analchem.8b02036
ISSN/ISBN:1520-6882 (Electronic) 0003-2700 (Linking)
Abstract:"Monitoring volatile organic compounds (VOCs) is an important issue, but difficult to achieve on a large scale and on the field using conventional analytical methods. Electronic noses (eNs), as promising alternatives, are still compromised by their performances due to the fact that most of them rely on a very limited number of sensors and use databases devoid of kinetic information. To narrow the performance gap between human and electronic noses, we developed a novel optoelectronic nose, which features a large sensor microarray that enables multiplexed monitoring of binding events in real-time with a temporal response. For the first time, surface plasmon resonance imaging is demonstrated as a promising novel analytical tool for VOC detection in the gas phase. By combining it with cross-reactive sensor microarrays, the obtained optoelectronic nose shows a remarkably high selectivity, capable of discriminating between homologous VOCs differing by only a single carbon atom. In addition, the optoelectronic nose has good repeatability and stability. Finally, the preliminary assays using VOC binary and ternary mixtures show that it is also very efficient for the analysis of more complex samples, opening up the exciting perspective of applying it to 'real-world' samples in diverse domains"
Keywords:
Notes:"PubMed-not-MEDLINEBrenet, Sophie John-Herpin, Aurelian Gallat, Francois-Xavier Musnier, Benjamin Buhot, Arnaud Herrier, Cyril Rousselle, Tristan Livache, Thierry Hou, Yanxia eng Research Support, Non-U.S. Gov't 2018/07/20 Anal Chem. 2018 Aug 21; 90(16):9879-9887. doi: 10.1021/acs.analchem.8b02036. Epub 2018 Aug 1"

 
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