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Quartz crystal microbalance sensor array for the detection of volatile organic compounds
A sensor array system consisting of five quartz crystal microbalance (QCM) sensors (four for measuring and one for reference) and an artificial neural network (ANN) method is presented for on-line detection of volatile organic compounds. Three ionic liquids, 1-butyl-3-methylimidazolium chloride (C 4...
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Published in: | Talanta (Oxford) 2009-05, Vol.78 (3), p.711-716 |
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creator | Xu, Xiuming Cang, Huaiwen Li, Changzhi Zhao, Zongbao K. Li, Haiyang |
description | A sensor array system consisting of five quartz crystal microbalance (QCM) sensors (four for measuring and one for reference) and an artificial neural network (ANN) method is presented for on-line detection of volatile organic compounds. Three ionic liquids, 1-butyl-3-methylimidazolium chloride (C
4mimCl), 1-butyl-3-methylimidazolium hexafluorophosphate (C
4mimPF
6), 1-dedocyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide (C
4mimNTf
2), and silicone oil II, which is widely used as gas chromatographic stationary phase, have been selected as sensitive coatings on the quartz surface allowing the sensor array effective to identify chemical vapors, such as toluene, ethanol, acetone and dichloromethane. The success rate for the qualitative recognition reached 100%. Quantitative analysis has also been investigated, within the concentration range of 0.6–6.1
mg/L for toluene, 0.9–7.5
mg/L for ethanol, 2.8–117
mg/L for dichloromethane, and 0.7–38
mg/L for acetone, with a prediction error lower than 8%. |
doi_str_mv | 10.1016/j.talanta.2008.12.031 |
format | article |
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4mimCl), 1-butyl-3-methylimidazolium hexafluorophosphate (C
4mimPF
6), 1-dedocyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide (C
4mimNTf
2), and silicone oil II, which is widely used as gas chromatographic stationary phase, have been selected as sensitive coatings on the quartz surface allowing the sensor array effective to identify chemical vapors, such as toluene, ethanol, acetone and dichloromethane. The success rate for the qualitative recognition reached 100%. Quantitative analysis has also been investigated, within the concentration range of 0.6–6.1
mg/L for toluene, 0.9–7.5
mg/L for ethanol, 2.8–117
mg/L for dichloromethane, and 0.7–38
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4mimCl), 1-butyl-3-methylimidazolium hexafluorophosphate (C
4mimPF
6), 1-dedocyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide (C
4mimNTf
2), and silicone oil II, which is widely used as gas chromatographic stationary phase, have been selected as sensitive coatings on the quartz surface allowing the sensor array effective to identify chemical vapors, such as toluene, ethanol, acetone and dichloromethane. The success rate for the qualitative recognition reached 100%. Quantitative analysis has also been investigated, within the concentration range of 0.6–6.1
mg/L for toluene, 0.9–7.5
mg/L for ethanol, 2.8–117
mg/L for dichloromethane, and 0.7–38
mg/L for acetone, with a prediction error lower than 8%.</description><subject>Acetone - analysis</subject><subject>Analytical chemistry</subject><subject>Artificial neural network</subject><subject>Chemistry</subject><subject>Chromatographic methods and physical methods associated with chromatography</subject><subject>Ethanol - analysis</subject><subject>Exact sciences and technology</subject><subject>Gas chromatographic methods</subject><subject>General, instrumentation</subject><subject>Ionic Liquids</subject><subject>Methylene Chloride - analysis</subject><subject>Micro-Electrical-Mechanical Systems</subject><subject>Quartz crystal microbalance</subject><subject>Sensor array</subject><subject>Toluene - analysis</subject><subject>Volatile organic compounds</subject><subject>Volatile Organic Compounds - analysis</subject><issn>0039-9140</issn><issn>1873-3573</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFkE2LFDEQhoMo7uzqT1By0Vv3VtIfSU4ii7rCwiLsgreQTqo1Q3dnTNIL4683wzR69JQ6PPWm3oeQNwxqBqy_3tfZTGbJpuYAsma8hoY9IzsmRVM1nWiekx1AoyrFWrgglyntAYA30LwkF0zxXrVM7Mj3b6uJ-Te18ZhKIJ29jWE4JVukCZcUIjUxmiMdy5R_InWY0WYfFhpG-hQmk_2ENMQfZvGW2jAfwrq49Iq8GM2U8PX2XpHHz58ebm6ru_svX28-3lW27VSuBCrXqbGXbhAOhGil5eCEkmpom072ZkQmAU2Pw2i6wbGejW2vgEumurb0uSLvz7mHGH6tmLKefbI4lQYY1qR7AQwakAXszmApmFLEUR-in008agb6pFTv9aZUn5RqxnVRWvbebh-sw4zu39bmsADvNsAka6YxFnc-_eU446pUPV364cxh0fHkMepkPRbPzsdiVLvg_3PKH31hmAI</recordid><startdate>20090515</startdate><enddate>20090515</enddate><creator>Xu, Xiuming</creator><creator>Cang, Huaiwen</creator><creator>Li, Changzhi</creator><creator>Zhao, Zongbao K.</creator><creator>Li, Haiyang</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20090515</creationdate><title>Quartz crystal microbalance sensor array for the detection of volatile organic compounds</title><author>Xu, Xiuming ; Cang, Huaiwen ; Li, Changzhi ; Zhao, Zongbao K. ; Li, Haiyang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-7e9d59f68db7d07748c20d7989b43586afe180ea6ebfa5bd161f4690281954023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Acetone - analysis</topic><topic>Analytical chemistry</topic><topic>Artificial neural network</topic><topic>Chemistry</topic><topic>Chromatographic methods and physical methods associated with chromatography</topic><topic>Ethanol - analysis</topic><topic>Exact sciences and technology</topic><topic>Gas chromatographic methods</topic><topic>General, instrumentation</topic><topic>Ionic Liquids</topic><topic>Methylene Chloride - analysis</topic><topic>Micro-Electrical-Mechanical Systems</topic><topic>Quartz crystal microbalance</topic><topic>Sensor array</topic><topic>Toluene - analysis</topic><topic>Volatile organic compounds</topic><topic>Volatile Organic Compounds - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Xiuming</creatorcontrib><creatorcontrib>Cang, Huaiwen</creatorcontrib><creatorcontrib>Li, Changzhi</creatorcontrib><creatorcontrib>Zhao, Zongbao K.</creatorcontrib><creatorcontrib>Li, Haiyang</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Talanta (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Xiuming</au><au>Cang, Huaiwen</au><au>Li, Changzhi</au><au>Zhao, Zongbao K.</au><au>Li, Haiyang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quartz crystal microbalance sensor array for the detection of volatile organic compounds</atitle><jtitle>Talanta (Oxford)</jtitle><addtitle>Talanta</addtitle><date>2009-05-15</date><risdate>2009</risdate><volume>78</volume><issue>3</issue><spage>711</spage><epage>716</epage><pages>711-716</pages><issn>0039-9140</issn><eissn>1873-3573</eissn><coden>TLNTA2</coden><abstract>A sensor array system consisting of five quartz crystal microbalance (QCM) sensors (four for measuring and one for reference) and an artificial neural network (ANN) method is presented for on-line detection of volatile organic compounds. Three ionic liquids, 1-butyl-3-methylimidazolium chloride (C
4mimCl), 1-butyl-3-methylimidazolium hexafluorophosphate (C
4mimPF
6), 1-dedocyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide (C
4mimNTf
2), and silicone oil II, which is widely used as gas chromatographic stationary phase, have been selected as sensitive coatings on the quartz surface allowing the sensor array effective to identify chemical vapors, such as toluene, ethanol, acetone and dichloromethane. The success rate for the qualitative recognition reached 100%. Quantitative analysis has also been investigated, within the concentration range of 0.6–6.1
mg/L for toluene, 0.9–7.5
mg/L for ethanol, 2.8–117
mg/L for dichloromethane, and 0.7–38
mg/L for acetone, with a prediction error lower than 8%.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>19269417</pmid><doi>10.1016/j.talanta.2008.12.031</doi><tpages>6</tpages></addata></record> |
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subjects | Acetone - analysis Analytical chemistry Artificial neural network Chemistry Chromatographic methods and physical methods associated with chromatography Ethanol - analysis Exact sciences and technology Gas chromatographic methods General, instrumentation Ionic Liquids Methylene Chloride - analysis Micro-Electrical-Mechanical Systems Quartz crystal microbalance Sensor array Toluene - analysis Volatile organic compounds Volatile Organic Compounds - analysis |
title | Quartz crystal microbalance sensor array for the detection of volatile organic compounds |
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