The levels of Hg and Pb (toxic elements) and Ca, Fe, I, K, Mo (essential elements) were measured in 44 Brazilian rice samples divided among white polished (W), parboiled white (PW) and parboiled brown (PB). Rice grains were ana- lyzed by inductively coupled plasma mass spectrometry (ICP-MS). Concentrations of toxic elements varied from 0.3 to 13.4 and 0.4 to 14.5 ng?g–1 for Hg and Pb, respectively. The values for essential elements were in the same range of those for rice produced in other countries. In general parboiled samples presented higher levels of all elements in study compared to white samples. The Estimated Daily Intake through rice consumption was 0.44 µg for Pb, 0.22 µg for Hg, 0.65 µg for I, 39.5 µg for Mo, 0.43 mg for Fe, 4.1 mg for Ca and 88.9 mg for K. Our findings demonstrated that rice can contribute significantly to the RDIs of molybdenum and potassium, but it can not be considered an important source of I, Fe and Ca. Moreover, the estimated dai

This article aims to evaluate 2 machine learning algorithms, decision trees and naïve Bayes (NB), for egg classification (free-range eggs compared with battery eggs). The database used for the study consisted of 15 chemical elements (As, Ba, Cd, Co, Cs, Cu, Fe, Mg, Mn, Mo, Pb, Se, Sr, V, and Zn) determined in 52 eggs samples (20 free-range and 32 battery eggs) by inductively coupled plasma mass spectrometry. Our results demonstrated that decision trees and NB associated with the mineral contents of eggs provide a high level of accuracy (above 80% and 90%, respectively) for classification between free-range and battery eggs and can be used as an alternative method for adulteration evaluation.

Este estudo envolve a preparação de um polímero orgânico-inorgânico impresso com íon (IIP) para o enriquecimento seletivo de Ni 2+ em soluções aquosas com posterior determinação por GF AAS. A rede polimérica híbrida foi preparada a partir de uma mistura do monômero funcional, 2-aminoetil-3-aminobutilmetildimetoxissilano e tetraetoxissilano como agente de ligação cruzada,

Dietary exposure to arsenic (AS), cadmium (Cd), and lead (Pb) of Brazilian schoolchildren living in Ribeirão Preto, Brazil, was assessed. Food samples including rice, beans, vegetables, fruits, and meat served daily by public schools were collected as presented in different seasons. Metallic elements were determined by inductively coupled plasma-mass spectrometry (ICP-MS).The main sources of As, Cd, and Pb were found to be rice, vegetables, and pork, respectively. Further, in some food types there were seasonal differences in the concentrations of metallic elements. The mean daily intakes of As, Cd, and Pb based upon the association between food consumption data and the observed concentrations of metals in their diet were 6.9 μg, 0.9 μg, and 0.6 μg for As, Cd, and Pb, respectively. These findings are below the toxicological reference values provided by the European Food Safety Authority (EFSA) and the World Health Organization (WHO).

Concentrations of As, Ba, Cd, Co, Mn, Pb, Se, Sr, V, Cu, Fe, Mg, Zn and Mo were determined in conventional and home-produced eggs as sold in Brazil. Thirty-four conventional and 21 home-produced samples were obtained in different Brazilian cities. Elements were determined by inductively coupled plasma mass spectrometry (ICP-MS). Concentrations of Ba, Cd, Co, Pb, Se, Fe, Zn and Mo in conventional and home-produced eggs differed (statistically significant). Correlations were found among the other elements in both production systems. The estimated daily intake for toxic elements based on Brazilian egg consumption did not exceed the toxicological reference values. The results clearly demonstrated that eggs are an important source of essential elements such as Mo, Fe, Se and Zn.