Pattern recognition analysis applied to classification of honeys from two geographic origins
Eleven legal parameters of quality control of honey were determined in 67 honey samples from Galicia (northwestern Spain) which were obtained from two production areas: Lugo and Orense. Classification of these honeys according to their geographic origin was achieved by pattern recognition techniques...
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Veröffentlicht in: | Journal of agricultural and food chemistry 1993-04, Vol.41 (4), p.560-564 |
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container_title | Journal of agricultural and food chemistry |
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creator | Pena Crecente, R Herrero Latorre, C |
description | Eleven legal parameters of quality control of honey were determined in 67 honey samples from Galicia (northwestern Spain) which were obtained from two production areas: Lugo and Orense. Classification of these honeys according to their geographic origin was achieved by pattern recognition techniques to the chemical data. Humidity and free acidity were found to be the most important features for the classification. In this case the use of pollen data to achieve a correct geographic classification of the honey samples is not necessary |
doi_str_mv | 10.1021/jf00028a011 |
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Classification of these honeys according to their geographic origin was achieved by pattern recognition techniques to the chemical data. Humidity and free acidity were found to be the most important features for the classification. In this case the use of pollen data to achieve a correct geographic classification of the honey samples is not necessary</description><identifier>ISSN: 0021-8561</identifier><identifier>EISSN: 1520-5118</identifier><identifier>DOI: 10.1021/jf00028a011</identifier><identifier>CODEN: JAFCAU</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>ACIDEZ ; ACIDITE ; ALIMENTOS ; ANALISIS ESTADISTICO ; ANALYSE STATISTIQUE ; Apidae ; Apis mellifera ; Biological and medical sciences ; CALIDAD ; CLASIFICACION ; CLASSIFICATION ; Confectionery products and chocolate industries, honey ; CONTROL DE CALIDAD ; CONTROLE DE QUALITE ; ESPAGNE ; ESPANA ; Food industries ; Fundamental and applied biological sciences. Psychology ; HUMEDAD ; HUMIDITE ; Hymenoptera ; MIEL ; PROCEDENCIA ; PRODUIT ALIMENTAIRE ; PROVENANCE ; QUALITE</subject><ispartof>Journal of agricultural and food chemistry, 1993-04, Vol.41 (4), p.560-564</ispartof><rights>1993 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a392t-6869c523ad96bb7cbe499cc866e29fa1b897cc977209f595ede34846ebe6ea143</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/jf00028a011$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/jf00028a011$$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=4876068$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Pena Crecente, R</creatorcontrib><creatorcontrib>Herrero Latorre, C</creatorcontrib><title>Pattern recognition analysis applied to classification of honeys from two geographic origins</title><title>Journal of agricultural and food chemistry</title><addtitle>J. Agric. Food Chem</addtitle><description>Eleven legal parameters of quality control of honey were determined in 67 honey samples from Galicia (northwestern Spain) which were obtained from two production areas: Lugo and Orense. Classification of these honeys according to their geographic origin was achieved by pattern recognition techniques to the chemical data. Humidity and free acidity were found to be the most important features for the classification. In this case the use of pollen data to achieve a correct geographic classification of the honey samples is not necessary</description><subject>ACIDEZ</subject><subject>ACIDITE</subject><subject>ALIMENTOS</subject><subject>ANALISIS ESTADISTICO</subject><subject>ANALYSE STATISTIQUE</subject><subject>Apidae</subject><subject>Apis mellifera</subject><subject>Biological and medical sciences</subject><subject>CALIDAD</subject><subject>CLASIFICACION</subject><subject>CLASSIFICATION</subject><subject>Confectionery products and chocolate industries, honey</subject><subject>CONTROL DE CALIDAD</subject><subject>CONTROLE DE QUALITE</subject><subject>ESPAGNE</subject><subject>ESPANA</subject><subject>Food industries</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>HUMEDAD</subject><subject>HUMIDITE</subject><subject>Hymenoptera</subject><subject>MIEL</subject><subject>PROCEDENCIA</subject><subject>PRODUIT ALIMENTAIRE</subject><subject>PROVENANCE</subject><subject>QUALITE</subject><issn>0021-8561</issn><issn>1520-5118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1993</creationdate><recordtype>article</recordtype><recordid>eNpt0c1rFDEYBvAgCq6tJ2-echA9lGmTyUw-jlKtFYottL2IEN7JJtOss5Np3ll0_3tTpxQPngJ5fnlI3hDyhrNjzmp-sgmMsVoD4_wZWfG2ZlXLuX5OVmWbV7qV_CV5hbgpTLeKrciPK5hnn0eavUv9GOeYRgojDHuMSGGahujXdE7UDYAYQ3Twl6RA79Lo90hDTls6_0q096nPMN1FR1OOfRzxkLwIMKB__bgekNuzzzen59XF5Zevpx8vKhCmniuppXFtLWBtZNcp1_nGGOe0lL42AXinjXLOKFUzE1rT-rUXjW6k77z0wBtxQN4vvVNO9zuPs91GdH4YYPRph5ZLxU2jHuDRAl1OiNkHO-W4hby3nNmHCdp_Jlj0u8daQAdDyDC6iE9HGq0kk7qwamERZ__7KYb800olVGtvrq7t9_Nvoi2vtZ-Kf7v4AMlCn0vl7bVphOJClPDDEoJDu0m7XL4C_3u7P10llTM</recordid><startdate>19930401</startdate><enddate>19930401</enddate><creator>Pena Crecente, R</creator><creator>Herrero Latorre, C</creator><general>American Chemical Society</general><scope>FBQ</scope><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SS</scope></search><sort><creationdate>19930401</creationdate><title>Pattern recognition analysis applied to classification of honeys from two geographic origins</title><author>Pena Crecente, R ; Herrero Latorre, C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a392t-6869c523ad96bb7cbe499cc866e29fa1b897cc977209f595ede34846ebe6ea143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1993</creationdate><topic>ACIDEZ</topic><topic>ACIDITE</topic><topic>ALIMENTOS</topic><topic>ANALISIS ESTADISTICO</topic><topic>ANALYSE STATISTIQUE</topic><topic>Apidae</topic><topic>Apis mellifera</topic><topic>Biological and medical sciences</topic><topic>CALIDAD</topic><topic>CLASIFICACION</topic><topic>CLASSIFICATION</topic><topic>Confectionery products and chocolate industries, honey</topic><topic>CONTROL DE CALIDAD</topic><topic>CONTROLE DE QUALITE</topic><topic>ESPAGNE</topic><topic>ESPANA</topic><topic>Food industries</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>HUMEDAD</topic><topic>HUMIDITE</topic><topic>Hymenoptera</topic><topic>MIEL</topic><topic>PROCEDENCIA</topic><topic>PRODUIT ALIMENTAIRE</topic><topic>PROVENANCE</topic><topic>QUALITE</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pena Crecente, R</creatorcontrib><creatorcontrib>Herrero Latorre, C</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Entomology Abstracts (Full archive)</collection><jtitle>Journal of agricultural and food chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pena Crecente, R</au><au>Herrero Latorre, C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pattern recognition analysis applied to classification of honeys from two geographic origins</atitle><jtitle>Journal of agricultural and food chemistry</jtitle><addtitle>J. Agric. Food Chem</addtitle><date>1993-04-01</date><risdate>1993</risdate><volume>41</volume><issue>4</issue><spage>560</spage><epage>564</epage><pages>560-564</pages><issn>0021-8561</issn><eissn>1520-5118</eissn><coden>JAFCAU</coden><abstract>Eleven legal parameters of quality control of honey were determined in 67 honey samples from Galicia (northwestern Spain) which were obtained from two production areas: Lugo and Orense. Classification of these honeys according to their geographic origin was achieved by pattern recognition techniques to the chemical data. Humidity and free acidity were found to be the most important features for the classification. In this case the use of pollen data to achieve a correct geographic classification of the honey samples is not necessary</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><doi>10.1021/jf00028a011</doi><tpages>5</tpages></addata></record> |
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subjects | ACIDEZ ACIDITE ALIMENTOS ANALISIS ESTADISTICO ANALYSE STATISTIQUE Apidae Apis mellifera Biological and medical sciences CALIDAD CLASIFICACION CLASSIFICATION Confectionery products and chocolate industries, honey CONTROL DE CALIDAD CONTROLE DE QUALITE ESPAGNE ESPANA Food industries Fundamental and applied biological sciences. Psychology HUMEDAD HUMIDITE Hymenoptera MIEL PROCEDENCIA PRODUIT ALIMENTAIRE PROVENANCE QUALITE |
title | Pattern recognition analysis applied to classification of honeys from two geographic origins |
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