collection of food sample and write thier uses along with thier nutrient
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The quality of sampling and analytical data is a major determinant of database quality. Sampling foods for inclusion in a compositional database is one of the more demanding and difficult aspects of database preparation and often requires the compilers to make intuitive judgements and compromises. This chapter reviews the objectives of sampling and discusses the various aspects for consideration in making these judgements.
Where the necessary information on the composition of a food is not available (as is often the case in developing countries) or is inadequate (e.g. it is no longer applicable to the current food supply or the analytical values need to be measured using more recent methods), then sampling and analytical protocols need to be devised.
Ideally these should be developed in conjunction with each other because the requirements of the analysts will determine the amounts of foods necessary for the analyses and how the foods should be stored and, if necessary, preserved
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