Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)

Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)

<abstract language="eng">Inductively Coupled Plasma Optical Emission Spectrometry was used to determine Ca, Mg, Mn, Fe, Zn and Cu in samples of processed and natural coconut water. The sample preparation consisted in a filtration step followed by a dilution. The analysis was made emp...

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Main Authors: Rafael Arromba de Sousa, Waldomiro Borges Neto, Ronei Jesus Poppi, Nivaldo Baccan, Solange Cadore
Format: Article
Language:English
Published: Sociedade Brasileira de Química 2006-07-01
Series:Química Nova
Subjects:
coconut water
chemometrics
ICP OES
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422006000400005
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spelling doaj-a2157be1781d4a2495446d7139444c072020-11-24T22:23:51ZengSociedade Brasileira de QuímicaQuímica Nova0100-40421678-70642006-07-0129465465610.1590/S0100-40422006000400005Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)Rafael Arromba de SousaWaldomiro Borges NetoRonei Jesus PoppiNivaldo BaccanSolange Cadore<abstract language="eng">Inductively Coupled Plasma Optical Emission Spectrometry was used to determine Ca, Mg, Mn, Fe, Zn and Cu in samples of processed and natural coconut water. The sample preparation consisted in a filtration step followed by a dilution. The analysis was made employing optimized instrumental parameters and the results were evaluated using methods of Pattern Recognition. The data showed common concentration values for the analytes present in processed and natural samples. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) indicated that the samples of different kinds were statistically different when the concentrations of all the analytes were considered simultaneously.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422006000400005coconut waterchemometricsICP OES
collection DOAJ
language English
format Article
sources DOAJ
author Rafael Arromba de Sousa
Waldomiro Borges Neto
Ronei Jesus Poppi
Nivaldo Baccan
Solange Cadore
spellingShingle Rafael Arromba de Sousa
Waldomiro Borges Neto
Ronei Jesus Poppi
Nivaldo Baccan
Solange Cadore
Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)
Química Nova
coconut water
chemometrics
ICP OES
author_facet Rafael Arromba de Sousa
Waldomiro Borges Neto
Ronei Jesus Poppi
Nivaldo Baccan
Solange Cadore
author_sort Rafael Arromba de Sousa
title Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)
title_short Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)
title_full Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)
title_fullStr Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)
title_full_unstemmed Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES Classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (ICP OES)
title_sort classificação de água de coco processada e natural por meio de hca, pca e teores de íons metálicos determinados por icp oes classification of processed and natural coconut water using hca, pca and metallic ion levels obtained by inductively coupled plasma optical emission spectrometry (icp oes)
publisher Sociedade Brasileira de Química
series Química Nova
issn 0100-4042
1678-7064
publishDate 2006-07-01
description <abstract language="eng">Inductively Coupled Plasma Optical Emission Spectrometry was used to determine Ca, Mg, Mn, Fe, Zn and Cu in samples of processed and natural coconut water. The sample preparation consisted in a filtration step followed by a dilution. The analysis was made employing optimized instrumental parameters and the results were evaluated using methods of Pattern Recognition. The data showed common concentration values for the analytes present in processed and natural samples. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) indicated that the samples of different kinds were statistically different when the concentrations of all the analytes were considered simultaneously.
topic coconut water
chemometrics
ICP OES
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422006000400005
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