Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance
The importance of honey adulteration detection has recently increased owing to the limited production levels in recent years and the relative high price of honey; therefore, this illegal practice has become more and more attractive to producers. Hence, the need has arisen for more effective analytic...
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Veröffentlicht in: | Journal of agricultural and food chemistry 2010-08, Vol.58 (15), p.8495-8501 |
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creator | Bertelli, Davide Lolli, Massimo Papotti, Giulia Bortolotti, Laura Serra, Giorgia Plessi, Maria |
description | The importance of honey adulteration detection has recently increased owing to the limited production levels in recent years and the relative high price of honey; therefore, this illegal practice has become more and more attractive to producers. Hence, the need has arisen for more effective analytical methods aiming at detecting honey adulteration. The present research presents an effective method to detect adulteration in honey falsified by intentional addition of different concentrations of commercial sugar syrups, using one-dimensional (1D) and two-dimensional (2D) nuclear magnetic resonance (NMR) coupled with multivariate statistical analysis. Sixty-three authentic and 63 adulterated honey samples were analyzed. To prepare adulterated honeys, seven different sugar syrups normally used for nutrition of bees were used. The best discriminant model was obtained by 1D spectra, and leave-one-out cross-validation showed a predictive capacity of 95.2%. 2D NMR also furnished acceptable results (cross-validation correct classification 90.5%), although the 1H NMR sequence is preferable because it is the simplest and fastest NMR technique. |
doi_str_mv | 10.1021/jf101460t |
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Hence, the need has arisen for more effective analytical methods aiming at detecting honey adulteration. The present research presents an effective method to detect adulteration in honey falsified by intentional addition of different concentrations of commercial sugar syrups, using one-dimensional (1D) and two-dimensional (2D) nuclear magnetic resonance (NMR) coupled with multivariate statistical analysis. Sixty-three authentic and 63 adulterated honey samples were analyzed. To prepare adulterated honeys, seven different sugar syrups normally used for nutrition of bees were used. The best discriminant model was obtained by 1D spectra, and leave-one-out cross-validation showed a predictive capacity of 95.2%. 2D NMR also furnished acceptable results (cross-validation correct classification 90.5%), although the 1H NMR sequence is preferable because it is the simplest and fastest NMR technique.</description><identifier>ISSN: 0021-8561</identifier><identifier>EISSN: 1520-5118</identifier><identifier>DOI: 10.1021/jf101460t</identifier><identifier>PMID: 20681637</identifier><identifier>CODEN: JAFCAU</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>adulterated products ; Analytical Methods ; Animals ; Bees ; Biological and medical sciences ; Carbohydrates - analysis ; Confectionery products and chocolate industries, honey ; corn syrup ; detection ; food analysis ; food composition ; food contamination ; Food Contamination - analysis ; Food industries ; fraud ; Fundamental and applied biological sciences. Psychology ; General aspects ; honey ; Honey - analysis ; Magnetic Resonance Spectroscopy - instrumentation ; Magnetic Resonance Spectroscopy - methods ; Methods of analysis, processing and quality control, regulation, standards ; model food systems ; nuclear magnetic resonance spectroscopy ; one-dimensional high-resolution nuclear magnetic resonance ; Quality Control ; two-dimensional high-resolution nuclear magnetic resonance</subject><ispartof>Journal of agricultural and food chemistry, 2010-08, Vol.58 (15), p.8495-8501</ispartof><rights>Copyright © 2010 American Chemical Society</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a434t-2287ff4e92e08352255031b4dae4439f06a4f2ff7265056429522d5eeffe41363</citedby><cites>FETCH-LOGICAL-a434t-2287ff4e92e08352255031b4dae4439f06a4f2ff7265056429522d5eeffe41363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/jf101460t$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/jf101460t$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23103334$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20681637$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bertelli, Davide</creatorcontrib><creatorcontrib>Lolli, Massimo</creatorcontrib><creatorcontrib>Papotti, Giulia</creatorcontrib><creatorcontrib>Bortolotti, Laura</creatorcontrib><creatorcontrib>Serra, Giorgia</creatorcontrib><creatorcontrib>Plessi, Maria</creatorcontrib><title>Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance</title><title>Journal of agricultural and food chemistry</title><addtitle>J. Agric. Food Chem</addtitle><description>The importance of honey adulteration detection has recently increased owing to the limited production levels in recent years and the relative high price of honey; therefore, this illegal practice has become more and more attractive to producers. Hence, the need has arisen for more effective analytical methods aiming at detecting honey adulteration. The present research presents an effective method to detect adulteration in honey falsified by intentional addition of different concentrations of commercial sugar syrups, using one-dimensional (1D) and two-dimensional (2D) nuclear magnetic resonance (NMR) coupled with multivariate statistical analysis. Sixty-three authentic and 63 adulterated honey samples were analyzed. To prepare adulterated honeys, seven different sugar syrups normally used for nutrition of bees were used. The best discriminant model was obtained by 1D spectra, and leave-one-out cross-validation showed a predictive capacity of 95.2%. 2D NMR also furnished acceptable results (cross-validation correct classification 90.5%), although the 1H NMR sequence is preferable because it is the simplest and fastest NMR technique.</description><subject>adulterated products</subject><subject>Analytical Methods</subject><subject>Animals</subject><subject>Bees</subject><subject>Biological and medical sciences</subject><subject>Carbohydrates - analysis</subject><subject>Confectionery products and chocolate industries, honey</subject><subject>corn syrup</subject><subject>detection</subject><subject>food analysis</subject><subject>food composition</subject><subject>food contamination</subject><subject>Food Contamination - analysis</subject><subject>Food industries</subject><subject>fraud</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>honey</subject><subject>Honey - analysis</subject><subject>Magnetic Resonance Spectroscopy - instrumentation</subject><subject>Magnetic Resonance Spectroscopy - methods</subject><subject>Methods of analysis, processing and quality control, regulation, standards</subject><subject>model food systems</subject><subject>nuclear magnetic resonance spectroscopy</subject><subject>one-dimensional high-resolution nuclear magnetic resonance</subject><subject>Quality Control</subject><subject>two-dimensional high-resolution nuclear magnetic resonance</subject><issn>0021-8561</issn><issn>1520-5118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpt0E1rGzEQBmARWhIn7SF_INWlhB62HX3u-hjy5ULaQB2fF3l3tF2zllxpRfG9PzxK7CYUehLMPLyMXkJOGXxmwNmXlWXApIbxgEyY4lAoxqo3ZAJ5WVRKsyNyHOMKACpVwiE54qArpkU5IX-ucMRm7L2j3tKZd7ilF20aRgzmebrc0nnqTKDzbUibSBexdx29d1hc9Wt0MRszUONa-vDb_zOb9d3P4gdGP6TnpO-pGTAHfTOdw7Fv6NPOGdfgO_LWmiHi-_17QhY31w-Xs-Lu_vbr5cVdYaSQY8F5VVorccoRKqE4VwoEW8rWoJRiakEbabm1JdcKlJZ8mk2rEK1FyYQWJ-R8l7sJ_lfCONbrPjY4DMahT7EuZTWVgvMyy0872QQfY0Bbb0K_NmFbM6ifOq9fOs_2bJ-almtsX-TfkjP4uAcmNmawIf-5j69OMBBCyOw-7Jw1vjZdyGYx58AEsKrUqpSvSaaJ9cqnkHuO_znpEYzEno4</recordid><startdate>20100811</startdate><enddate>20100811</enddate><creator>Bertelli, Davide</creator><creator>Lolli, Massimo</creator><creator>Papotti, Giulia</creator><creator>Bortolotti, Laura</creator><creator>Serra, Giorgia</creator><creator>Plessi, Maria</creator><general>American Chemical Society</general><scope>FBQ</scope><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>20100811</creationdate><title>Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance</title><author>Bertelli, Davide ; Lolli, Massimo ; Papotti, Giulia ; Bortolotti, Laura ; Serra, Giorgia ; Plessi, Maria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a434t-2287ff4e92e08352255031b4dae4439f06a4f2ff7265056429522d5eeffe41363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>adulterated products</topic><topic>Analytical Methods</topic><topic>Animals</topic><topic>Bees</topic><topic>Biological and medical sciences</topic><topic>Carbohydrates - analysis</topic><topic>Confectionery products and chocolate industries, honey</topic><topic>corn syrup</topic><topic>detection</topic><topic>food analysis</topic><topic>food composition</topic><topic>food contamination</topic><topic>Food Contamination - analysis</topic><topic>Food industries</topic><topic>fraud</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>honey</topic><topic>Honey - analysis</topic><topic>Magnetic Resonance Spectroscopy - instrumentation</topic><topic>Magnetic Resonance Spectroscopy - methods</topic><topic>Methods of analysis, processing and quality control, regulation, standards</topic><topic>model food systems</topic><topic>nuclear magnetic resonance spectroscopy</topic><topic>one-dimensional high-resolution nuclear magnetic resonance</topic><topic>Quality Control</topic><topic>two-dimensional high-resolution nuclear magnetic resonance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bertelli, Davide</creatorcontrib><creatorcontrib>Lolli, Massimo</creatorcontrib><creatorcontrib>Papotti, Giulia</creatorcontrib><creatorcontrib>Bortolotti, Laura</creatorcontrib><creatorcontrib>Serra, Giorgia</creatorcontrib><creatorcontrib>Plessi, Maria</creatorcontrib><collection>AGRIS</collection><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>Journal of agricultural and food chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bertelli, Davide</au><au>Lolli, Massimo</au><au>Papotti, Giulia</au><au>Bortolotti, Laura</au><au>Serra, Giorgia</au><au>Plessi, Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance</atitle><jtitle>Journal of agricultural and food chemistry</jtitle><addtitle>J. Agric. Food Chem</addtitle><date>2010-08-11</date><risdate>2010</risdate><volume>58</volume><issue>15</issue><spage>8495</spage><epage>8501</epage><pages>8495-8501</pages><issn>0021-8561</issn><eissn>1520-5118</eissn><coden>JAFCAU</coden><abstract>The importance of honey adulteration detection has recently increased owing to the limited production levels in recent years and the relative high price of honey; therefore, this illegal practice has become more and more attractive to producers. Hence, the need has arisen for more effective analytical methods aiming at detecting honey adulteration. The present research presents an effective method to detect adulteration in honey falsified by intentional addition of different concentrations of commercial sugar syrups, using one-dimensional (1D) and two-dimensional (2D) nuclear magnetic resonance (NMR) coupled with multivariate statistical analysis. Sixty-three authentic and 63 adulterated honey samples were analyzed. To prepare adulterated honeys, seven different sugar syrups normally used for nutrition of bees were used. The best discriminant model was obtained by 1D spectra, and leave-one-out cross-validation showed a predictive capacity of 95.2%. 2D NMR also furnished acceptable results (cross-validation correct classification 90.5%), although the 1H NMR sequence is preferable because it is the simplest and fastest NMR technique.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>20681637</pmid><doi>10.1021/jf101460t</doi><tpages>7</tpages></addata></record> |
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subjects | adulterated products Analytical Methods Animals Bees Biological and medical sciences Carbohydrates - analysis Confectionery products and chocolate industries, honey corn syrup detection food analysis food composition food contamination Food Contamination - analysis Food industries fraud Fundamental and applied biological sciences. Psychology General aspects honey Honey - analysis Magnetic Resonance Spectroscopy - instrumentation Magnetic Resonance Spectroscopy - methods Methods of analysis, processing and quality control, regulation, standards model food systems nuclear magnetic resonance spectroscopy one-dimensional high-resolution nuclear magnetic resonance Quality Control two-dimensional high-resolution nuclear magnetic resonance |
title | Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance |
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