Quantification of glucosinolates in leaves of leaf rape ( Brassica napus ssp. pabularia) by near-infrared spectroscopy
Near-infrared spectra and chemometrics are used to develop predictive models to measure glucosinolates in leaves of Brassica napus. The potential of near-infrared spectroscopy (NIRS) for screening the total glucosinolate (t-GSL) content, and also, the aliphatic glucosinolates gluconapin (GNA), gluco...
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| Veröffentlicht in: | Phytochemistry (Oxford) 2005, Vol.66 (2), p.175-185 |
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| creator | Font, Rafael Río-Celestino, Mercedes del Cartea, Elena de Haro-Bailón, Antonio |
| description | Near-infrared spectra and chemometrics are used to develop predictive models to measure glucosinolates in leaves of
Brassica napus.
The potential of near-infrared spectroscopy (NIRS) for screening the total glucosinolate (t-GSL) content, and also, the aliphatic glucosinolates gluconapin (GNA), glucobrassicanapin (GBN), progoitrin (PRO), glucoalyssin (GAL), and the indole glucosinolate glucobrassicin (GBS) in the leaf rape (
Brassica napus L. ssp.
pabularia DC), was assessed. This crop is grown for edible leaves for both fodder and human consumption. In Galicia (northwestern Spain) it is highly appreciated for human nutrition and have the common name of “nabicol”. A collection of 36 local populations of nabicol was analysed by NIRS for glucosinolate composition. The reference values for glucosinolates, as they were obtained by high performance liquid chromatography on the leaf samples, were regressed against different spectral transformations by modified partial least-squares (MPLS) regression. The coefficients of determination in cross-validation (
r
2) shown by the equations for t-GSL, GNA, GBN, PRO, GAL and GBS were, respectively, 0.88, 0.73, 0.81, 0.78, 0.37 and 0.41. The standard deviation to standard error of cross-validation ratio, were for these constituents, as follows: t-GSL, 2.96; GNA, 1.94; GBN, 2.31; PRO, 2.11; GAL, 1.27, and GBS, 1.29. These results show that the equations developed for total glucosinolates, as well as those for gluconapin, glucobrassicanapin and progoitrin, can be used for screening these compounds in the leaves of this species. In addition, the glucoalyssin and glucobrassicin equations obtained, can be used to identify those samples with low and high contents. From the study of the MPLS loadings of the first three terms of the different equations, it can be concluded that some major cell components as protein and cellulose, highly participated in modelling the equations for glucosinolates. |
| doi_str_mv | 10.1016/j.phytochem.2004.11.011 |
| format | Article |
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Brassica napus.
The potential of near-infrared spectroscopy (NIRS) for screening the total glucosinolate (t-GSL) content, and also, the aliphatic glucosinolates gluconapin (GNA), glucobrassicanapin (GBN), progoitrin (PRO), glucoalyssin (GAL), and the indole glucosinolate glucobrassicin (GBS) in the leaf rape (
Brassica napus L. ssp.
pabularia DC), was assessed. This crop is grown for edible leaves for both fodder and human consumption. In Galicia (northwestern Spain) it is highly appreciated for human nutrition and have the common name of “nabicol”. A collection of 36 local populations of nabicol was analysed by NIRS for glucosinolate composition. The reference values for glucosinolates, as they were obtained by high performance liquid chromatography on the leaf samples, were regressed against different spectral transformations by modified partial least-squares (MPLS) regression. The coefficients of determination in cross-validation (
r
2) shown by the equations for t-GSL, GNA, GBN, PRO, GAL and GBS were, respectively, 0.88, 0.73, 0.81, 0.78, 0.37 and 0.41. The standard deviation to standard error of cross-validation ratio, were for these constituents, as follows: t-GSL, 2.96; GNA, 1.94; GBN, 2.31; PRO, 2.11; GAL, 1.27, and GBS, 1.29. These results show that the equations developed for total glucosinolates, as well as those for gluconapin, glucobrassicanapin and progoitrin, can be used for screening these compounds in the leaves of this species. In addition, the glucoalyssin and glucobrassicin equations obtained, can be used to identify those samples with low and high contents. From the study of the MPLS loadings of the first three terms of the different equations, it can be concluded that some major cell components as protein and cellulose, highly participated in modelling the equations for glucosinolates.</description><identifier>ISSN: 0031-9422</identifier><identifier>EISSN: 1873-3700</identifier><identifier>DOI: 10.1016/j.phytochem.2004.11.011</identifier><identifier>PMID: 15652574</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Biological and medical sciences ; Brasicaceae ; Brassica napus ; Brassica napus - chemistry ; Brassica napus var. pabularia ; Brassicaceae ; Chemical constitution ; Fundamental and applied biological sciences. Psychology ; glucoalyssin ; glucobrassicanapin ; glucobrassicin ; gluconapin ; Glucosinolates ; Glucosinolates - analysis ; Molecular Structure ; Near-infrared spectroscopy ; Plant Leaves - chemistry ; Plant physiology and development ; progoitrin ; quantitative analysis ; Rapeseed nabicol leaf ; spectral analysis ; Spectrophotometry, Infrared - methods</subject><ispartof>Phytochemistry (Oxford), 2005, Vol.66 (2), p.175-185</ispartof><rights>2004 Elsevier Ltd</rights><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-d4a4c822e73e8042b8a84e7d6b8bec30e6d5cad30f89b59d9b83ae48261f31fc3</citedby><cites>FETCH-LOGICAL-c489t-d4a4c822e73e8042b8a84e7d6b8bec30e6d5cad30f89b59d9b83ae48261f31fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0031942204005990$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16475181$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15652574$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Font, Rafael</creatorcontrib><creatorcontrib>Río-Celestino, Mercedes del</creatorcontrib><creatorcontrib>Cartea, Elena</creatorcontrib><creatorcontrib>de Haro-Bailón, Antonio</creatorcontrib><title>Quantification of glucosinolates in leaves of leaf rape ( Brassica napus ssp. pabularia) by near-infrared spectroscopy</title><title>Phytochemistry (Oxford)</title><addtitle>Phytochemistry</addtitle><description>Near-infrared spectra and chemometrics are used to develop predictive models to measure glucosinolates in leaves of
Brassica napus.
The potential of near-infrared spectroscopy (NIRS) for screening the total glucosinolate (t-GSL) content, and also, the aliphatic glucosinolates gluconapin (GNA), glucobrassicanapin (GBN), progoitrin (PRO), glucoalyssin (GAL), and the indole glucosinolate glucobrassicin (GBS) in the leaf rape (
Brassica napus L. ssp.
pabularia DC), was assessed. This crop is grown for edible leaves for both fodder and human consumption. In Galicia (northwestern Spain) it is highly appreciated for human nutrition and have the common name of “nabicol”. A collection of 36 local populations of nabicol was analysed by NIRS for glucosinolate composition. The reference values for glucosinolates, as they were obtained by high performance liquid chromatography on the leaf samples, were regressed against different spectral transformations by modified partial least-squares (MPLS) regression. The coefficients of determination in cross-validation (
r
2) shown by the equations for t-GSL, GNA, GBN, PRO, GAL and GBS were, respectively, 0.88, 0.73, 0.81, 0.78, 0.37 and 0.41. The standard deviation to standard error of cross-validation ratio, were for these constituents, as follows: t-GSL, 2.96; GNA, 1.94; GBN, 2.31; PRO, 2.11; GAL, 1.27, and GBS, 1.29. These results show that the equations developed for total glucosinolates, as well as those for gluconapin, glucobrassicanapin and progoitrin, can be used for screening these compounds in the leaves of this species. In addition, the glucoalyssin and glucobrassicin equations obtained, can be used to identify those samples with low and high contents. From the study of the MPLS loadings of the first three terms of the different equations, it can be concluded that some major cell components as protein and cellulose, highly participated in modelling the equations for glucosinolates.</description><subject>Biological and medical sciences</subject><subject>Brasicaceae</subject><subject>Brassica napus</subject><subject>Brassica napus - chemistry</subject><subject>Brassica napus var. pabularia</subject><subject>Brassicaceae</subject><subject>Chemical constitution</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>glucoalyssin</subject><subject>glucobrassicanapin</subject><subject>glucobrassicin</subject><subject>gluconapin</subject><subject>Glucosinolates</subject><subject>Glucosinolates - analysis</subject><subject>Molecular Structure</subject><subject>Near-infrared spectroscopy</subject><subject>Plant Leaves - chemistry</subject><subject>Plant physiology and development</subject><subject>progoitrin</subject><subject>quantitative analysis</subject><subject>Rapeseed nabicol leaf</subject><subject>spectral analysis</subject><subject>Spectrophotometry, Infrared - methods</subject><issn>0031-9422</issn><issn>1873-3700</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1v1DAQhi0EokvhL1BfQHBI8FcS59hWfEmVEIKerYkzbr3K2sFOVtp_j1e7okdOHsnPO_PqIeSKs5oz3n7a1vPjYYn2EXe1YEzVnNeM82dkw3UnK9kx9pxsGJO86pUQF-RVzlvGWNO07UtywZu2EU2nNmT_c4WweOctLD4GGh19mFYbsw9xggUz9YFOCPsylb8yOZpgRvqB3iTIueRogHnNNOe5pjMM6wTJw0c6HGhASJUPLkHCkeYZ7ZJitnE-vCYvHEwZ35zfS3L_5fPv22_V3Y-v32-v7yqrdL9UowJltRDYSdRMiUGDVtiN7aAHtJJhOzYWRsmc7oemH_tBS0ClRcud5M7KS_L-tHdO8c-KeTE7ny1OEwSMazZtJzuhe1bA7gTa0jAndGZOfgfpYDgzR-Vma_4pN0flhnNTlJfk2_OJddjh-JQ7Oy7AuzMA2cJUbATr8xPXqq7h-rjo6sQ5iAYeUmHufwnGJWN9KamOJa9PBBZle4_JZOsxWBx9Km7NGP1_6_4FD2-vBA</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Font, Rafael</creator><creator>Río-Celestino, Mercedes del</creator><creator>Cartea, Elena</creator><creator>de Haro-Bailón, Antonio</creator><general>Elsevier Ltd</general><general>Elsevier</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>2005</creationdate><title>Quantification of glucosinolates in leaves of leaf rape ( Brassica napus ssp. pabularia) by near-infrared spectroscopy</title><author>Font, Rafael ; Río-Celestino, Mercedes del ; Cartea, Elena ; de Haro-Bailón, Antonio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-d4a4c822e73e8042b8a84e7d6b8bec30e6d5cad30f89b59d9b83ae48261f31fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological and medical sciences</topic><topic>Brasicaceae</topic><topic>Brassica napus</topic><topic>Brassica napus - chemistry</topic><topic>Brassica napus var. pabularia</topic><topic>Brassicaceae</topic><topic>Chemical constitution</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>glucoalyssin</topic><topic>glucobrassicanapin</topic><topic>glucobrassicin</topic><topic>gluconapin</topic><topic>Glucosinolates</topic><topic>Glucosinolates - analysis</topic><topic>Molecular Structure</topic><topic>Near-infrared spectroscopy</topic><topic>Plant Leaves - chemistry</topic><topic>Plant physiology and development</topic><topic>progoitrin</topic><topic>quantitative analysis</topic><topic>Rapeseed nabicol leaf</topic><topic>spectral analysis</topic><topic>Spectrophotometry, Infrared - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Font, Rafael</creatorcontrib><creatorcontrib>Río-Celestino, Mercedes del</creatorcontrib><creatorcontrib>Cartea, Elena</creatorcontrib><creatorcontrib>de Haro-Bailón, Antonio</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>Phytochemistry (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Font, Rafael</au><au>Río-Celestino, Mercedes del</au><au>Cartea, Elena</au><au>de Haro-Bailón, Antonio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantification of glucosinolates in leaves of leaf rape ( Brassica napus ssp. pabularia) by near-infrared spectroscopy</atitle><jtitle>Phytochemistry (Oxford)</jtitle><addtitle>Phytochemistry</addtitle><date>2005</date><risdate>2005</risdate><volume>66</volume><issue>2</issue><spage>175</spage><epage>185</epage><pages>175-185</pages><issn>0031-9422</issn><eissn>1873-3700</eissn><abstract>Near-infrared spectra and chemometrics are used to develop predictive models to measure glucosinolates in leaves of
Brassica napus.
The potential of near-infrared spectroscopy (NIRS) for screening the total glucosinolate (t-GSL) content, and also, the aliphatic glucosinolates gluconapin (GNA), glucobrassicanapin (GBN), progoitrin (PRO), glucoalyssin (GAL), and the indole glucosinolate glucobrassicin (GBS) in the leaf rape (
Brassica napus L. ssp.
pabularia DC), was assessed. This crop is grown for edible leaves for both fodder and human consumption. In Galicia (northwestern Spain) it is highly appreciated for human nutrition and have the common name of “nabicol”. A collection of 36 local populations of nabicol was analysed by NIRS for glucosinolate composition. The reference values for glucosinolates, as they were obtained by high performance liquid chromatography on the leaf samples, were regressed against different spectral transformations by modified partial least-squares (MPLS) regression. The coefficients of determination in cross-validation (
r
2) shown by the equations for t-GSL, GNA, GBN, PRO, GAL and GBS were, respectively, 0.88, 0.73, 0.81, 0.78, 0.37 and 0.41. The standard deviation to standard error of cross-validation ratio, were for these constituents, as follows: t-GSL, 2.96; GNA, 1.94; GBN, 2.31; PRO, 2.11; GAL, 1.27, and GBS, 1.29. These results show that the equations developed for total glucosinolates, as well as those for gluconapin, glucobrassicanapin and progoitrin, can be used for screening these compounds in the leaves of this species. In addition, the glucoalyssin and glucobrassicin equations obtained, can be used to identify those samples with low and high contents. From the study of the MPLS loadings of the first three terms of the different equations, it can be concluded that some major cell components as protein and cellulose, highly participated in modelling the equations for glucosinolates.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><pmid>15652574</pmid><doi>10.1016/j.phytochem.2004.11.011</doi><tpages>11</tpages></addata></record> |
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| subjects | Biological and medical sciences Brasicaceae Brassica napus Brassica napus - chemistry Brassica napus var. pabularia Brassicaceae Chemical constitution Fundamental and applied biological sciences. Psychology glucoalyssin glucobrassicanapin glucobrassicin gluconapin Glucosinolates Glucosinolates - analysis Molecular Structure Near-infrared spectroscopy Plant Leaves - chemistry Plant physiology and development progoitrin quantitative analysis Rapeseed nabicol leaf spectral analysis Spectrophotometry, Infrared - methods |
| title | Quantification of glucosinolates in leaves of leaf rape ( Brassica napus ssp. pabularia) by near-infrared spectroscopy |
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