The copper content of foods based on a critical evaluation of published analytical data

摘要: Abstract Increasing interest in the copper (Cu) intake of Americans has generated a need for compilation, evaluation, and improvement data Cu foods. In order to estimate dietary intake, accurate precise values foods are needed. A system criteria developed evaluate quality published selenium been adapted analytical Mean each food were calculated from evaluated combined with USDA frequency consumption data, resulting list 218 major contributors Cu. The richest sources legumes, wheat bran cereals, organ meats, shellfish, grains. Confidence codes, indicators relative degree confidence user can have that mean value, included. More than half listed limited or result quantity indicating data. This proposed dynamic compilation evaluation be used generate bases specific purposes, provide ranked which significant nutrient, establish priorities further improvements database.