Study of the Phenolic Profile of Cider Apple Cultivars at Maturity by Multivariate Techniques
Phenolic compounds in 46 Spanish cider apple varieties were determined by RP-HPLC with direct injection. Several pattern recognition procedures, including principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares (PLS-1), were applied to the data in an attempt...
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| Veröffentlicht in: | Journal of agricultural and food chemistry 1999-10, Vol.47 (10), p.4046-4052 |
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| container_end_page | 4052 |
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| container_issue | 10 |
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| container_title | Journal of agricultural and food chemistry |
| container_volume | 47 |
| creator | Mangas, Juan J Rodríguez, Roberto Suárez, Belén Picinelli, Anna Dapena, Enrique |
| description | Phenolic compounds in 46 Spanish cider apple varieties were determined by RP-HPLC with direct injection. Several pattern recognition procedures, including principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares (PLS-1), were applied to the data in an attempt to classify the samples into bitter and nonbitter categories. Reliable decision rules were obtained by both LDA and PLS-1. LDA achieved 91.3 and 85.7% correct classification respectively, for internal and external evaluation of the model. Keywords: Cider apple; polyphenols; direct injection HPLC; chemometric |
| doi_str_mv | 10.1021/jf9903197 |
| format | Article |
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Several pattern recognition procedures, including principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares (PLS-1), were applied to the data in an attempt to classify the samples into bitter and nonbitter categories. Reliable decision rules were obtained by both LDA and PLS-1. LDA achieved 91.3 and 85.7% correct classification respectively, for internal and external evaluation of the model. Keywords: Cider apple; polyphenols; direct injection HPLC; chemometric</description><identifier>ISSN: 0021-8561</identifier><identifier>EISSN: 1520-5118</identifier><identifier>DOI: 10.1021/jf9903197</identifier><identifier>PMID: 10552763</identifier><identifier>CODEN: JAFCAU</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Agronomy. 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Specialized plant breeding, plant breeding aims ; Yield, quality, earliness, varia</subject><ispartof>Journal of agricultural and food chemistry, 1999-10, Vol.47 (10), p.4046-4052</ispartof><rights>Copyright © 1999 American Chemical Society</rights><rights>2000 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a437t-5f43f38a0d8de0d01b95a7757f059097ee527daa577b9c4cfc8b22f7e6ba46c73</citedby><cites>FETCH-LOGICAL-a437t-5f43f38a0d8de0d01b95a7757f059097ee527daa577b9c4cfc8b22f7e6ba46c73</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/jf9903197$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/jf9903197$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2751,27055,27903,27904,56716,56766</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1249084$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10552763$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mangas, Juan J</creatorcontrib><creatorcontrib>Rodríguez, Roberto</creatorcontrib><creatorcontrib>Suárez, Belén</creatorcontrib><creatorcontrib>Picinelli, Anna</creatorcontrib><creatorcontrib>Dapena, Enrique</creatorcontrib><title>Study of the Phenolic Profile of Cider Apple Cultivars at Maturity by Multivariate Techniques</title><title>Journal of agricultural and food chemistry</title><addtitle>J. Agric. Food Chem</addtitle><description>Phenolic compounds in 46 Spanish cider apple varieties were determined by RP-HPLC with direct injection. Several pattern recognition procedures, including principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares (PLS-1), were applied to the data in an attempt to classify the samples into bitter and nonbitter categories. Reliable decision rules were obtained by both LDA and PLS-1. LDA achieved 91.3 and 85.7% correct classification respectively, for internal and external evaluation of the model. Keywords: Cider apple; polyphenols; direct injection HPLC; chemometric</description><subject>Agronomy. Soil science and plant productions</subject><subject>Alcoholic beverages and cider</subject><subject>apples</subject><subject>Beverages</subject><subject>Biological and medical sciences</subject><subject>chemical composition</subject><subject>chemical constituents of plants</subject><subject>Chromatography, High Pressure Liquid</subject><subject>ciders</subject><subject>Computer Simulation</subject><subject>cultivars</subject><subject>Discriminant Analysis</subject><subject>Fermented food industries</subject><subject>Flavonoids</subject><subject>Food industries</subject><subject>fruits</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genetics and breeding of economic plants</subject><subject>high performance liquid chromatography</subject><subject>least squares</subject><subject>linear discriminant analysis</subject><subject>Malus domestica</subject><subject>Models, Chemical</subject><subject>partial least squares</subject><subject>phenolic compounds</subject><subject>Phenols - analysis</subject><subject>Polymers - analysis</subject><subject>Polyphenols</subject><subject>principal component analysis</subject><subject>Rosales - chemistry</subject><subject>Rosales - classification</subject><subject>Spain</subject><subject>Varietal selection. Specialized plant breeding, plant breeding aims</subject><subject>Yield, quality, earliness, varia</subject><issn>0021-8561</issn><issn>1520-5118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpt0M9v0zAUB3ALMbFucOAfAB9gEoeA7cRxfBwV-yGtoqzdEVkvjk1d0qTYzkT_exylGhw4Wfb76L3nL0KvKflICaOftlZKklMpnqEZ5YxknNLqOZqRVMwqXtJTdBbClhBScUFeoFNKOGeizGfo-yoOzQH3FseNwcuN6frWabz0vXWtGd_nrjEeX-736Tof2ugewQcMES8gDt7FA64PeHEsOIgGr43edO7XYMJLdGKhDebV8TxHD1df1vOb7O7r9e388i6DIhcx47bIbV4BaarGkIbQWnIQggtLuCRSGJO2bQC4ELXUhba6qhmzwpQ1FKUW-Tm6mPrufT_OjWrngjZtC53ph6BKyVIMZZnghwlq34fgjVV773bgD4oSNWapnrJM9s2x6VDvTPOPnMJL4N0RQNDQWg-dduGvY4UkVZFYNjEXovn9VAb_U5UiF1ytlyv1Tdzcf15c36vRv528hV7BD59aPqwYoTlhkrMiHwe_nwTooLb94LsU7n9-8AfaLZ-M</recordid><startdate>19991001</startdate><enddate>19991001</enddate><creator>Mangas, Juan J</creator><creator>Rodríguez, Roberto</creator><creator>Suárez, Belén</creator><creator>Picinelli, Anna</creator><creator>Dapena, Enrique</creator><general>American Chemical Society</general><scope>FBQ</scope><scope>BSCLL</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>19991001</creationdate><title>Study of the Phenolic Profile of Cider Apple Cultivars at Maturity by Multivariate Techniques</title><author>Mangas, Juan J ; Rodríguez, Roberto ; Suárez, Belén ; Picinelli, Anna ; Dapena, Enrique</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a437t-5f43f38a0d8de0d01b95a7757f059097ee527daa577b9c4cfc8b22f7e6ba46c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Alcoholic beverages and cider</topic><topic>apples</topic><topic>Beverages</topic><topic>Biological and medical sciences</topic><topic>chemical composition</topic><topic>chemical constituents of plants</topic><topic>Chromatography, High Pressure Liquid</topic><topic>ciders</topic><topic>Computer Simulation</topic><topic>cultivars</topic><topic>Discriminant Analysis</topic><topic>Fermented food industries</topic><topic>Flavonoids</topic><topic>Food industries</topic><topic>fruits</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Genetics and breeding of economic plants</topic><topic>high performance liquid chromatography</topic><topic>least squares</topic><topic>linear discriminant analysis</topic><topic>Malus domestica</topic><topic>Models, Chemical</topic><topic>partial least squares</topic><topic>phenolic compounds</topic><topic>Phenols - analysis</topic><topic>Polymers - analysis</topic><topic>Polyphenols</topic><topic>principal component analysis</topic><topic>Rosales - chemistry</topic><topic>Rosales - classification</topic><topic>Spain</topic><topic>Varietal selection. Specialized plant breeding, plant breeding aims</topic><topic>Yield, quality, earliness, varia</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mangas, Juan J</creatorcontrib><creatorcontrib>Rodríguez, Roberto</creatorcontrib><creatorcontrib>Suárez, Belén</creatorcontrib><creatorcontrib>Picinelli, Anna</creatorcontrib><creatorcontrib>Dapena, Enrique</creatorcontrib><collection>AGRIS</collection><collection>Istex</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>Mangas, Juan J</au><au>Rodríguez, Roberto</au><au>Suárez, Belén</au><au>Picinelli, Anna</au><au>Dapena, Enrique</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study of the Phenolic Profile of Cider Apple Cultivars at Maturity by Multivariate Techniques</atitle><jtitle>Journal of agricultural and food chemistry</jtitle><addtitle>J. Agric. Food Chem</addtitle><date>1999-10-01</date><risdate>1999</risdate><volume>47</volume><issue>10</issue><spage>4046</spage><epage>4052</epage><pages>4046-4052</pages><issn>0021-8561</issn><eissn>1520-5118</eissn><coden>JAFCAU</coden><abstract>Phenolic compounds in 46 Spanish cider apple varieties were determined by RP-HPLC with direct injection. Several pattern recognition procedures, including principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares (PLS-1), were applied to the data in an attempt to classify the samples into bitter and nonbitter categories. Reliable decision rules were obtained by both LDA and PLS-1. LDA achieved 91.3 and 85.7% correct classification respectively, for internal and external evaluation of the model. 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| subjects | Agronomy. Soil science and plant productions Alcoholic beverages and cider apples Beverages Biological and medical sciences chemical composition chemical constituents of plants Chromatography, High Pressure Liquid ciders Computer Simulation cultivars Discriminant Analysis Fermented food industries Flavonoids Food industries fruits Fundamental and applied biological sciences. Psychology Genetics and breeding of economic plants high performance liquid chromatography least squares linear discriminant analysis Malus domestica Models, Chemical partial least squares phenolic compounds Phenols - analysis Polymers - analysis Polyphenols principal component analysis Rosales - chemistry Rosales - classification Spain Varietal selection. Specialized plant breeding, plant breeding aims Yield, quality, earliness, varia |
| title | Study of the Phenolic Profile of Cider Apple Cultivars at Maturity by Multivariate Techniques |
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