Which technique is used for generating primary composition data for proprietary items not in standard databases?

Answer

Direct laboratory analysis, often using proximate analysis

When dealing with proprietary, novel, or unique specialty items that are absent from established food composition databases like the USDA FoodData Central, generating primary data becomes necessary. This process involves direct, resource-intensive laboratory analysis. A common methodology employed here is proximate analysis, which is a set of techniques used to precisely determine major compositional elements such as moisture content, protein levels, fat content, and ash content. This direct measurement establishes the true composition of the specific food matrix, providing validated input data that computational models would otherwise lack.

Which technique is used for generating primary composition data for proprietary items not in standard databases?
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