Advantages of LC–MS–MS compared to LC–MS for the determination of nitrofuran residues in honey
In the framework of developing analyses for exogenous contaminants in food matrices such as honey, we have compared data obtained by high-performance liquid chromatography coupled with mass spectrometry (LC–MS) to those provided by high-performance liquid chromatography and tandem mass spectrometry...
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| Veröffentlicht in: | Analytical and bioanalytical chemistry 2006-12, Vol.386 (7-8), p.2161-2168 |
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| container_title | Analytical and bioanalytical chemistry |
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| creator | Tribalat, Laure Paisse, Olivier Dessalces, Guy Grenier-Loustalot, Marie-Florence |
| description | In the framework of developing analyses for exogenous contaminants in food matrices such as honey, we have compared data obtained by high-performance liquid chromatography coupled with mass spectrometry (LC–MS) to those provided by high-performance liquid chromatography and tandem mass spectrometry (LC–MS–MS). Initial results obtained with LC–MS showed that the technique lacked selectivity, which is why the method was validated by LC–MS–MS. This method involves a solid-phase extraction (SPE) of nitrofuran metabolites and nitrofuran parent drugs, a derivatization by 2-nitrobenzaldehyde for 17 h, and finally a clean-up by SPE. The data obtained show that the limits of detection varied between 0.2 and 0.6 μg kg⁻¹ for the metabolites and between 1 and 2 μg kg⁻¹ for nitrofuran parent drugs. The method was applied to different flower honeys. The results showed that nitrofurans (used as antibiotics) are consistently present in this matrix, the predominant compound being furazolidone. |
| doi_str_mv | 10.1007/s00216-006-0878-3 |
| format | Article |
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Initial results obtained with LC–MS showed that the technique lacked selectivity, which is why the method was validated by LC–MS–MS. This method involves a solid-phase extraction (SPE) of nitrofuran metabolites and nitrofuran parent drugs, a derivatization by 2-nitrobenzaldehyde for 17 h, and finally a clean-up by SPE. The data obtained show that the limits of detection varied between 0.2 and 0.6 μg kg⁻¹ for the metabolites and between 1 and 2 μg kg⁻¹ for nitrofuran parent drugs. The method was applied to different flower honeys. The results showed that nitrofurans (used as antibiotics) are consistently present in this matrix, the predominant compound being furazolidone.</description><identifier>ISSN: 1618-2642</identifier><identifier>EISSN: 1618-2650</identifier><identifier>DOI: 10.1007/s00216-006-0878-3</identifier><identifier>PMID: 17091234</identifier><language>eng</language><publisher>Germany: Springer-Verlag</publisher><subject>Analytical chemistry ; antibiotics ; Apoidea ; Chemical Sciences ; Chromatography, Liquid - methods ; derivatization ; detection limit ; drugs ; flowers ; food contamination ; food matrix ; furazolidone ; high performance liquid chromatography ; honey ; Honey - analysis ; Honey - classification ; Ions - chemistry ; Mass Spectrometry - methods ; metabolites ; Molecular Structure ; Nitrofurans - analysis ; Nitrofurans - chemistry ; Nitrofurans - metabolism ; Reproducibility of Results ; solid phase extraction ; Solutions ; tandem mass spectrometry</subject><ispartof>Analytical and bioanalytical chemistry, 2006-12, Vol.386 (7-8), p.2161-2168</ispartof><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-63c20e0f5bfd6bebd8fd9d74258f94c20dd39c47514c0ea04b8c6977c7af15ec3</citedby><cites>FETCH-LOGICAL-c388t-63c20e0f5bfd6bebd8fd9d74258f94c20dd39c47514c0ea04b8c6977c7af15ec3</cites><orcidid>0000-0001-7271-9143</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17091234$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00509313$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Tribalat, Laure</creatorcontrib><creatorcontrib>Paisse, Olivier</creatorcontrib><creatorcontrib>Dessalces, Guy</creatorcontrib><creatorcontrib>Grenier-Loustalot, Marie-Florence</creatorcontrib><title>Advantages of LC–MS–MS compared to LC–MS for the determination of nitrofuran residues in honey</title><title>Analytical and bioanalytical chemistry</title><addtitle>Anal Bioanal Chem</addtitle><description>In the framework of developing analyses for exogenous contaminants in food matrices such as honey, we have compared data obtained by high-performance liquid chromatography coupled with mass spectrometry (LC–MS) to those provided by high-performance liquid chromatography and tandem mass spectrometry (LC–MS–MS). Initial results obtained with LC–MS showed that the technique lacked selectivity, which is why the method was validated by LC–MS–MS. This method involves a solid-phase extraction (SPE) of nitrofuran metabolites and nitrofuran parent drugs, a derivatization by 2-nitrobenzaldehyde for 17 h, and finally a clean-up by SPE. The data obtained show that the limits of detection varied between 0.2 and 0.6 μg kg⁻¹ for the metabolites and between 1 and 2 μg kg⁻¹ for nitrofuran parent drugs. The method was applied to different flower honeys. The results showed that nitrofurans (used as antibiotics) are consistently present in this matrix, the predominant compound being furazolidone.</description><subject>Analytical chemistry</subject><subject>antibiotics</subject><subject>Apoidea</subject><subject>Chemical Sciences</subject><subject>Chromatography, Liquid - methods</subject><subject>derivatization</subject><subject>detection limit</subject><subject>drugs</subject><subject>flowers</subject><subject>food contamination</subject><subject>food matrix</subject><subject>furazolidone</subject><subject>high performance liquid chromatography</subject><subject>honey</subject><subject>Honey - analysis</subject><subject>Honey - classification</subject><subject>Ions - chemistry</subject><subject>Mass Spectrometry - methods</subject><subject>metabolites</subject><subject>Molecular Structure</subject><subject>Nitrofurans - analysis</subject><subject>Nitrofurans - chemistry</subject><subject>Nitrofurans - metabolism</subject><subject>Reproducibility of Results</subject><subject>solid phase extraction</subject><subject>Solutions</subject><subject>tandem mass spectrometry</subject><issn>1618-2642</issn><issn>1618-2650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1uFDEQhVsIRELgAGzAKyQWDVV2-6eXo1EgSINYhKwtt38yRtPtwe6JlB134IacBA89hCWLskuur56e_JrmJcI7BJDvCwBF0QLUUlK17FFzjgJVSwWHxw99R8-aZ6V8A0CuUDxtzlBCj5R1541buTszzebWF5IC2ax__fj5-frPQWwa9yZ7R-b0d0BCymTeeuL87PMYJzPHNB03pzjnFA7ZTCT7Et2hCsaJbNPk7583T4LZFf_idF80Nx8uv66v2s2Xj5_Wq01rmVJzK5il4CHwITgx-MGp4HonO8pV6Ls6c471tpMcOwveQDcoK3oprTQBubfsonm76G7NTu9zHE2-18lEfbXa6OMbAIeeIbvDyr5Z2H1O36vZWY-xWL_bmcmnQ9Gi_hRQzv8L0p4DojyCuIA2p1KyDw8WEPQxL73kVV3UqnlpVndencQPw-jdv41TQBV4vQDBJG1ucyz65ppC9Va1BKXIfgPZE5ts</recordid><startdate>20061201</startdate><enddate>20061201</enddate><creator>Tribalat, Laure</creator><creator>Paisse, Olivier</creator><creator>Dessalces, Guy</creator><creator>Grenier-Loustalot, Marie-Florence</creator><general>Springer-Verlag</general><general>Springer Verlag</general><scope>FBQ</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>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-7271-9143</orcidid></search><sort><creationdate>20061201</creationdate><title>Advantages of LC–MS–MS compared to LC–MS for the determination of nitrofuran residues in honey</title><author>Tribalat, Laure ; Paisse, Olivier ; Dessalces, Guy ; Grenier-Loustalot, Marie-Florence</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-63c20e0f5bfd6bebd8fd9d74258f94c20dd39c47514c0ea04b8c6977c7af15ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Analytical chemistry</topic><topic>antibiotics</topic><topic>Apoidea</topic><topic>Chemical Sciences</topic><topic>Chromatography, Liquid - methods</topic><topic>derivatization</topic><topic>detection limit</topic><topic>drugs</topic><topic>flowers</topic><topic>food contamination</topic><topic>food matrix</topic><topic>furazolidone</topic><topic>high performance liquid chromatography</topic><topic>honey</topic><topic>Honey - analysis</topic><topic>Honey - classification</topic><topic>Ions - chemistry</topic><topic>Mass Spectrometry - methods</topic><topic>metabolites</topic><topic>Molecular Structure</topic><topic>Nitrofurans - analysis</topic><topic>Nitrofurans - chemistry</topic><topic>Nitrofurans - metabolism</topic><topic>Reproducibility of Results</topic><topic>solid phase extraction</topic><topic>Solutions</topic><topic>tandem mass spectrometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tribalat, Laure</creatorcontrib><creatorcontrib>Paisse, Olivier</creatorcontrib><creatorcontrib>Dessalces, Guy</creatorcontrib><creatorcontrib>Grenier-Loustalot, Marie-Florence</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Analytical and bioanalytical chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tribalat, Laure</au><au>Paisse, Olivier</au><au>Dessalces, Guy</au><au>Grenier-Loustalot, Marie-Florence</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Advantages of LC–MS–MS compared to LC–MS for the determination of nitrofuran residues in honey</atitle><jtitle>Analytical and bioanalytical chemistry</jtitle><addtitle>Anal Bioanal Chem</addtitle><date>2006-12-01</date><risdate>2006</risdate><volume>386</volume><issue>7-8</issue><spage>2161</spage><epage>2168</epage><pages>2161-2168</pages><issn>1618-2642</issn><eissn>1618-2650</eissn><abstract>In the framework of developing analyses for exogenous contaminants in food matrices such as honey, we have compared data obtained by high-performance liquid chromatography coupled with mass spectrometry (LC–MS) to those provided by high-performance liquid chromatography and tandem mass spectrometry (LC–MS–MS). Initial results obtained with LC–MS showed that the technique lacked selectivity, which is why the method was validated by LC–MS–MS. This method involves a solid-phase extraction (SPE) of nitrofuran metabolites and nitrofuran parent drugs, a derivatization by 2-nitrobenzaldehyde for 17 h, and finally a clean-up by SPE. The data obtained show that the limits of detection varied between 0.2 and 0.6 μg kg⁻¹ for the metabolites and between 1 and 2 μg kg⁻¹ for nitrofuran parent drugs. The method was applied to different flower honeys. The results showed that nitrofurans (used as antibiotics) are consistently present in this matrix, the predominant compound being furazolidone.</abstract><cop>Germany</cop><pub>Springer-Verlag</pub><pmid>17091234</pmid><doi>10.1007/s00216-006-0878-3</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-7271-9143</orcidid></addata></record> |
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| subjects | Analytical chemistry antibiotics Apoidea Chemical Sciences Chromatography, Liquid - methods derivatization detection limit drugs flowers food contamination food matrix furazolidone high performance liquid chromatography honey Honey - analysis Honey - classification Ions - chemistry Mass Spectrometry - methods metabolites Molecular Structure Nitrofurans - analysis Nitrofurans - chemistry Nitrofurans - metabolism Reproducibility of Results solid phase extraction Solutions tandem mass spectrometry |
| title | Advantages of LC–MS–MS compared to LC–MS for the determination of nitrofuran residues in honey |
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