Resumo:The concentrations of Ca, Cu, Fe, K, Mg, Mn, P and Zn in 10 commercially available cassava flours (Manihot esculenta Crantz, Euphorbiaceae) were determined using inductively coupled plasma optical emission spectrometry (ICP OES). The elements were found in descending order of concentration, as K > Ca > P > Mg > Fe > Cu > Zn > Mn. Based on the recommended daily intake for adults, the values showed that 10 g day -1 cassava flour provides 5.3% of the daily intake of Cu, 0,5-1.2% for Fe, 0.5% for Ca, 0.9-1.2% for Mg, 0.6-0,8% for Mn, 0.6% for P, 0.2% for K and 0.2-0.3% for Zn. Based on the RDIs (Recommended Daily Intake) of the elements studied, the results indicate that cassava flour contains several essential elements, and the levels found in the cassava flours presents no risk to the human health. With the results of the multivariate analysis, it was possible to locate information about clusters and dissimilarities between the samples and between the variables, as well as to provide useful information for future studies on quality control and genetic improvement of cassava with better nutritional values.
Palavras-chave:Manihot esculenta Crantz, Alimento, Elementos-traço, ICP OES, RDI.
AbstractThe concentrations of Ca, Cu, Fe, K, Mg, Mn, P and Zn in 10 commercially available cassava flours (Manihot esculenta Crantz, Euphorbiaceae) were determined using inductively coupled plasma optical emission spectrometry (ICP OES). The elements were found in descending order of concentration, as K > Ca > P > Mg > Fe > Cu > Zn > Mn. Based on the recommended daily intake for adults, the values showed that 10 g day -1cassava flour provides 5.3% of the daily intake of Cu, 0,5-1.2% for Fe, 0.5% for Ca, 0.9-1.2% for Mg, 0.6-0,8% for Mn, 0.6% for P, 0.2% for K and 0.2-0.3% for Zn. Based on the RDIs (Recommended Daily Intake) of the elements studied, the results indicate that cassava flour contains several essential elements, and the levels found in the cassava flours presents no risk to the human health. With the results of the multivariate analysis, it was possible to locate information about clusters and dissimilarities between the samples and between the variables, as well as to provide useful information for future studies on quality control and genetic improvement of cassava with better nutritional values.