2011
DOI: 10.1007/s12161-011-9205-5
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Determination and Evaluation of the Mineral Composition of Chinese Cabbage (Beta vulgaris)

Abstract: Inductively coupled plasma optical emission spectrometry was used to determine the elements present in Chinese cabbage (Beta vulgaris). The accuracy of the method was confirmed by analysis of a certified reference material of spinach leaves. The study involved 57 samples that were collected in 13 Brazilian cities. Average concentrations of elements found per gram of Chinese cabbage were as follows: 3.44 mg g −1 sodium, 5.09 mg g −1 potassium, 1.25 mg g −1 phosphorous, 0.85 mg g −1 calcium, 0.49 mg g −1 magnesi… Show more

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Cited by 8 publications
(2 citation statements)
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“…11 PCA and HCA are techniques that complement each other and they have been employed for evaluation of results of data analysis. [14][15][16][17][18][19][20] The present paper determined and compared the mineral compositions of brown, parboiled and white rice samples consumed in Salvador City, Brazil. The effect of cooking on the mineral content was also investigated.…”
Section: Introductionmentioning
confidence: 99%
“…11 PCA and HCA are techniques that complement each other and they have been employed for evaluation of results of data analysis. [14][15][16][17][18][19][20] The present paper determined and compared the mineral compositions of brown, parboiled and white rice samples consumed in Salvador City, Brazil. The effect of cooking on the mineral content was also investigated.…”
Section: Introductionmentioning
confidence: 99%
“…Multivariate techniques are powerful tools which permit an exploitation of the results of chemical analysis in order to verify the existence of similarities between the samples (Correia and Ferreira 2007). Among these techniques, the principal component analysis (PCA) and hierarchical cluster analysis (HCA) have been applied successfully in evaluation and characterization of analytical data of food samples (Anunciação et al 2011;dos Santos et al 2011). Thus, the aim of this work was to evaluate the mineral composition (calcium, magnesium, sodium, potassium manganese, iron, and zinc) of broccoli samples obtained from different cities, cultures, and stations.…”
Section: Introductionmentioning
confidence: 99%