Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2010 |
| Outros Autores: | , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da UFBA |
| Texto Completo: | http://www.repositorio.ufba.br/ri/handle/ri/12162 |
Resumo: | Texto completo: acesso restrito. p. 352–356 |
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Fadigas, Joelma C.Santos, Ana Maria Pinto dosJesus, Raildo M. deLima, Daniel C.Fragoso, Wallace D.David, Jorge MauricioFerreira, Sergio Luis CostaFadigas, Joelma C.Santos, Ana Maria Pinto dosJesus, Raildo M. deLima, Daniel C.Fragoso, Wallace D.David, Jorge MauricioFerreira, Sergio Luis Costa2013-07-10T14:18:55Z20100026-265Xhttp://www.repositorio.ufba.br/ri/handle/ri/12162v. 96, n. 2Texto completo: acesso restrito. p. 352–356This paper describes the determination and evaluation of the mineral composition (calcium, magnesium, iron, manganese and zinc) of kale (Brassica oleracea L. var. acephala DC.) grown in soils within four cities in Bahia State, Brazil. The sampling process was performed during the summer and winter. Samples were digested with concentrated nitric acid and a digestion pump. Analyses were performed with inductively coupled plasma optical emission spectrometry (ICP OES) and the accuracy was confirmed with a certified reference material of apple leaves furnished by the National Institute of Standard and Technology. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) revealed different mineral compositions of the samples collected in the summer and winter. Samples collected in the winter have a higher concentration of micronutrients (iron, zinc and manganese) and macronutrients (calcium and magnesium). The average contents (wet weight and mg per 100 g) for the winter and summer were 551 and 535 for calcium; 117 and 106 for magnesium; 2.13 and 1.48 for iron; 2.63 and 1.95 for zinc and 2.05 and 1.34 for manganese, respectively. These results are in agreement with values previously reported in the literature.Submitted by Suelen Reis (suziy.ellen@gmail.com) on 2013-07-10T14:18:55Z No. of bitstreams: 1 1-s2.0-S0026265X10001281-main.pdf: 455966 bytes, checksum: 39e435257fcdc397066b9fa0c9b3784f (MD5)Made available in DSpace on 2013-07-10T14:18:55Z (GMT). No. of bitstreams: 1 1-s2.0-S0026265X10001281-main.pdf: 455966 bytes, checksum: 39e435257fcdc397066b9fa0c9b3784f (MD5) Previous issue date: 2010http://dx.doi.org/10.1016/j.microc.2010.06.006reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAKaleMineral compositionMultivariate analysis techniquesPrincipal component analysisHierarchical cluster analysisUse of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kaleMicrochemical Journalinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10000-01-01enginfo:eu-repo/semantics/openAccessORIGINAL1-s2.0-S0026265X10001281-main.pdf1-s2.0-S0026265X10001281-main.pdfapplication/pdf455966https://repositorio.ufba.br/bitstream/ri/12162/1/1-s2.0-S0026265X10001281-main.pdf39e435257fcdc397066b9fa0c9b3784fMD51LICENSElicense.txtlicense.txttext/plain1762https://repositorio.ufba.br/bitstream/ri/12162/2/license.txt1b89a9a0548218172d7c829f87a0eab9MD52TEXT1-s2.0-S0026265X10001281-main.pdf.txt1-s2.0-S0026265X10001281-main.pdf.txtExtracted texttext/plain25698https://repositorio.ufba.br/bitstream/ri/12162/3/1-s2.0-S0026265X10001281-main.pdf.txt6cb0967962f7e2925b8dd9d78ba7d0feMD53ri/121622022-07-05 14:02:51.516oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-07-05T17:02:51Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
| dc.title.pt_BR.fl_str_mv |
Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale |
| dc.title.alternative.pt_BR.fl_str_mv |
Microchemical Journal |
| title |
Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale |
| spellingShingle |
Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale Fadigas, Joelma C. Kale Mineral composition Multivariate analysis techniques Principal component analysis Hierarchical cluster analysis |
| title_short |
Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale |
| title_full |
Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale |
| title_fullStr |
Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale |
| title_full_unstemmed |
Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale |
| title_sort |
Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale |
| author |
Fadigas, Joelma C. |
| author_facet |
Fadigas, Joelma C. Santos, Ana Maria Pinto dos Jesus, Raildo M. de Lima, Daniel C. Fragoso, Wallace D. David, Jorge Mauricio Ferreira, Sergio Luis Costa |
| author_role |
author |
| author2 |
Santos, Ana Maria Pinto dos Jesus, Raildo M. de Lima, Daniel C. Fragoso, Wallace D. David, Jorge Mauricio Ferreira, Sergio Luis Costa |
| author2_role |
author author author author author author |
| dc.contributor.author.fl_str_mv |
Fadigas, Joelma C. Santos, Ana Maria Pinto dos Jesus, Raildo M. de Lima, Daniel C. Fragoso, Wallace D. David, Jorge Mauricio Ferreira, Sergio Luis Costa Fadigas, Joelma C. Santos, Ana Maria Pinto dos Jesus, Raildo M. de Lima, Daniel C. Fragoso, Wallace D. David, Jorge Mauricio Ferreira, Sergio Luis Costa |
| dc.subject.por.fl_str_mv |
Kale Mineral composition Multivariate analysis techniques Principal component analysis Hierarchical cluster analysis |
| topic |
Kale Mineral composition Multivariate analysis techniques Principal component analysis Hierarchical cluster analysis |
| description |
Texto completo: acesso restrito. p. 352–356 |
| publishDate |
2010 |
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2010 |
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2013-07-10T14:18:55Z |
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info:eu-repo/semantics/publishedVersion |
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0026-265X |
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v. 96, n. 2 |
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0026-265X v. 96, n. 2 |
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