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Automated resolution of dichlorvos and methylparaoxon pesticide mixtures employing a Flow Injection system with an inhibition electronic tongue
An amperometric biosensor array has been developed to resolve pesticide mixtures of dichlorvos and methylparaoxon. The biosensor array has been used in a Flow Injection system, in order to operate automatically the inhibition procedure. The sensors used were three screen-printed amperometric biosens...
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| Published in: | Biosensors & bioelectronics 2009, Vol.24 (5), p.1103-1108 |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c415t-a52965944e2358270cd24d91100fc3c64302807e9bc38ddbb7d88755706134c13 |
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| cites | cdi_FETCH-LOGICAL-c415t-a52965944e2358270cd24d91100fc3c64302807e9bc38ddbb7d88755706134c13 |
| container_end_page | 1108 |
| container_issue | 5 |
| container_start_page | 1103 |
| container_title | Biosensors & bioelectronics |
| container_volume | 24 |
| creator | Valdés-Ramírez, G. Gutiérrez, M. del Valle, M. Ramírez-Silva, M.T. Fournier, D. Marty, J.-L. |
| description | An amperometric biosensor array has been developed to resolve pesticide mixtures of dichlorvos and methylparaoxon. The biosensor array has been used in a Flow Injection system, in order to operate automatically the inhibition procedure. The sensors used were three screen-printed amperometric biosensors that incorporated three different acetylcholinesterase enzymes: the wild type from
Electric eel and two different genetically modified enzymes, B1 and B394 mutants, from
Drosophila melanogaster. The inhibition response triplet was modelled using an Artificial Neural Network which was trained with mixture solutions that contain dichlorvos from 10
−4 to 0.1
μM and methylparaoxon from 0.001 to 2.5
μM. This system can be considered an inhibition electronic tongue. |
| doi_str_mv | 10.1016/j.bios.2008.06.022 |
| format | article |
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Electric eel and two different genetically modified enzymes, B1 and B394 mutants, from
Drosophila melanogaster. The inhibition response triplet was modelled using an Artificial Neural Network which was trained with mixture solutions that contain dichlorvos from 10
−4 to 0.1
μM and methylparaoxon from 0.001 to 2.5
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Electric eel and two different genetically modified enzymes, B1 and B394 mutants, from
Drosophila melanogaster. The inhibition response triplet was modelled using an Artificial Neural Network which was trained with mixture solutions that contain dichlorvos from 10
−4 to 0.1
μM and methylparaoxon from 0.001 to 2.5
μM. This system can be considered an inhibition electronic tongue.</description><subject>Acetylcholinesterase</subject><subject>Acetylcholinesterase - chemistry</subject><subject>Artificial Neural Networks</subject><subject>Bioelectronic tongue</subject><subject>Biological and medical sciences</subject><subject>Biomimetics - instrumentation</subject><subject>Biomimetics - methods</subject><subject>Biosensing Techniques - instrumentation</subject><subject>Biosensing Techniques - methods</subject><subject>Biotechnology</subject><subject>Complex Mixtures - analysis</subject><subject>Dichlorvos</subject><subject>Dichlorvos - analysis</subject><subject>Dichlorvos - chemistry</subject><subject>Drosophila melanogaster</subject><subject>Electrochemistry - instrumentation</subject><subject>Electrochemistry - methods</subject><subject>Electronics - instrumentation</subject><subject>Equipment Design</subject><subject>Equipment Failure Analysis</subject><subject>Flow Injection Analysis</subject><subject>Flow Injection Analysis - instrumentation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Methylparaoxon</subject><subject>Paraoxon - analogs & derivatives</subject><subject>Paraoxon - analysis</subject><subject>Paraoxon - chemistry</subject><subject>Pesticides - analysis</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Tongue</subject><issn>0956-5663</issn><issn>1873-4235</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1DAUhS0EokPhBVggb2CX4J_ETiQ2VdXSSpXYwNpy7JuOR04cbKftPEVfGU9nBDtWd3G_c3TvOQh9pKSmhIqvu3pwIdWMkK4moiaMvUIb2kleNYy3r9GG9K2oWiH4GXqX0o4QImlP3qIz2ommkZRv0PPFmsOkM1gcIQW_ZhdmHEZsndn6EB9Cwnq2eIK83ftFRx2eCrBAys44C3hyT3ktUgzT4sPezfdY42sfHvHtvAPzYpf2KcOEH13eFjPs5q0b3MsGfEFimJ3BOcz3K7xHb0btE3w4zXP06_rq5-VNdffj--3lxV1lGtrmSresF23fNFA-7ZgkxrLG9pQSMhpuRMMJ64iEfjC8s3YYpO062baSCMobQ_k5-nL0XWL4vZZv1OSSAe_1DGFNihEmeSNFAdkRNDGkFGFUS3STjntFiTrUoHbqUIM61KCIUKWGIvp0cl-HCew_ySn3Anw-AToZ7ceoZ-PSX44VRMquLdy3IwcliwcHUSXjYDZgXSzJKRvc_-74A6CqqRo</recordid><startdate>2009</startdate><enddate>2009</enddate><creator>Valdés-Ramírez, G.</creator><creator>Gutiérrez, M.</creator><creator>del Valle, M.</creator><creator>Ramírez-Silva, M.T.</creator><creator>Fournier, D.</creator><creator>Marty, J.-L.</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>7QO</scope><scope>7QR</scope><scope>7SS</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>2009</creationdate><title>Automated resolution of dichlorvos and methylparaoxon pesticide mixtures employing a Flow Injection system with an inhibition electronic tongue</title><author>Valdés-Ramírez, G. ; Gutiérrez, M. ; del Valle, M. ; Ramírez-Silva, M.T. ; Fournier, D. ; Marty, J.-L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-a52965944e2358270cd24d91100fc3c64302807e9bc38ddbb7d88755706134c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Acetylcholinesterase</topic><topic>Acetylcholinesterase - chemistry</topic><topic>Artificial Neural Networks</topic><topic>Bioelectronic tongue</topic><topic>Biological and medical sciences</topic><topic>Biomimetics - instrumentation</topic><topic>Biomimetics - methods</topic><topic>Biosensing Techniques - instrumentation</topic><topic>Biosensing Techniques - methods</topic><topic>Biotechnology</topic><topic>Complex Mixtures - analysis</topic><topic>Dichlorvos</topic><topic>Dichlorvos - analysis</topic><topic>Dichlorvos - chemistry</topic><topic>Drosophila melanogaster</topic><topic>Electrochemistry - instrumentation</topic><topic>Electrochemistry - methods</topic><topic>Electronics - instrumentation</topic><topic>Equipment Design</topic><topic>Equipment Failure Analysis</topic><topic>Flow Injection Analysis</topic><topic>Flow Injection Analysis - instrumentation</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Methylparaoxon</topic><topic>Paraoxon - analogs & derivatives</topic><topic>Paraoxon - analysis</topic><topic>Paraoxon - chemistry</topic><topic>Pesticides - analysis</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Tongue</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Valdés-Ramírez, G.</creatorcontrib><creatorcontrib>Gutiérrez, M.</creatorcontrib><creatorcontrib>del Valle, M.</creatorcontrib><creatorcontrib>Ramírez-Silva, M.T.</creatorcontrib><creatorcontrib>Fournier, D.</creatorcontrib><creatorcontrib>Marty, J.-L.</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>Biotechnology Research Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Biosensors & bioelectronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Valdés-Ramírez, G.</au><au>Gutiérrez, M.</au><au>del Valle, M.</au><au>Ramírez-Silva, M.T.</au><au>Fournier, D.</au><au>Marty, J.-L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated resolution of dichlorvos and methylparaoxon pesticide mixtures employing a Flow Injection system with an inhibition electronic tongue</atitle><jtitle>Biosensors & bioelectronics</jtitle><addtitle>Biosens Bioelectron</addtitle><date>2009</date><risdate>2009</risdate><volume>24</volume><issue>5</issue><spage>1103</spage><epage>1108</epage><pages>1103-1108</pages><issn>0956-5663</issn><eissn>1873-4235</eissn><abstract>An amperometric biosensor array has been developed to resolve pesticide mixtures of dichlorvos and methylparaoxon. The biosensor array has been used in a Flow Injection system, in order to operate automatically the inhibition procedure. The sensors used were three screen-printed amperometric biosensors that incorporated three different acetylcholinesterase enzymes: the wild type from
Electric eel and two different genetically modified enzymes, B1 and B394 mutants, from
Drosophila melanogaster. The inhibition response triplet was modelled using an Artificial Neural Network which was trained with mixture solutions that contain dichlorvos from 10
−4 to 0.1
μM and methylparaoxon from 0.001 to 2.5
μM. This system can be considered an inhibition electronic tongue.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><pmid>18644713</pmid><doi>10.1016/j.bios.2008.06.022</doi><tpages>6</tpages></addata></record> |
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| source | Elsevier |
| subjects | Acetylcholinesterase Acetylcholinesterase - chemistry Artificial Neural Networks Bioelectronic tongue Biological and medical sciences Biomimetics - instrumentation Biomimetics - methods Biosensing Techniques - instrumentation Biosensing Techniques - methods Biotechnology Complex Mixtures - analysis Dichlorvos Dichlorvos - analysis Dichlorvos - chemistry Drosophila melanogaster Electrochemistry - instrumentation Electrochemistry - methods Electronics - instrumentation Equipment Design Equipment Failure Analysis Flow Injection Analysis Flow Injection Analysis - instrumentation Fundamental and applied biological sciences. Psychology Methylparaoxon Paraoxon - analogs & derivatives Paraoxon - analysis Paraoxon - chemistry Pesticides - analysis Reproducibility of Results Sensitivity and Specificity Tongue |
| title | Automated resolution of dichlorvos and methylparaoxon pesticide mixtures employing a Flow Injection system with an inhibition electronic tongue |
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