National Food and Nutrition Analysis Program (NFNAP) – Analytic I Prebibiotics

美国农业部（USDA）通过国家食品和营养分析计划（NFNAP）与包括卫生与公众服务部（HHS）和其他联邦机构在内的多个团体合作，生成食品的原始分析数据。NFNAP包括基于统计的关键食品抽样计划，以及由合格实验室进行的食品分析。NFNAP的四个具体目标是：1)确定由赞助IC确定的营养素和其他化合物的主要贡献者。关键食物是经常食用的食物和成分，它们共同贡献了美国人口摄入任何特定营养素的75%以上；2)评估已确定贡献者的现有数据质量；3)制定高质量，基于统计的全国抽样计划，包括美国少数民族亚群体消费的高优先级食品，使用科学适当的验证方法进行严格的质量控制；4)根据需要开发经过验证的数据库，以传播具有全国代表性的膳食补充剂中食品和生物活性食品成分的平均值和变异性估计。通过NFNAP生成的分析数据被汇编并发布在美国农业部国家营养标准参考数据库（SR）的年度更新中。它们还用于计算未分析的相关食品的估计值，评估营养变异性，以及评估估计多成分食品营养含量的方法。这些数据将被食品调查研究小组（FSRG）、农业研究服务（ARS）用于开发食品和营养数据集，用于NHANES的“我们在美国吃什么”（WWEIA）部分的饮食调查。此外，这些美国农业部生成的数据构成了美国临床护理和营养研究设置以及其他联邦营养计划中所有营养分析计划的主要基础。

The generation of original analytical data for foods at the U.S. Department of Agriculture (USDA) is conducted through the National Food and Nutrient Analysis Program (NFNAP) in collaboration with multiple groups including the Department of Health and Human Services (HHS) and other federal agencies. NFNAP includes statistically based sampling plans for Key Foods, and analysis of foods by qualified laboratories. The four Specific Aims of the NFNAP are to: 1) identify major contributors of nutrients and other compounds identified by the sponsoring IC. Key Foods are frequently consumed foods and ingredients, which contributed, collectively, more than 75% of the intake of any specific nutrient for the U.S. population; 2) assess existing data quality for those identified contributors; 3) develop high quality, statistically-based nationwide sampling plans including high priority foods consumed by U.S. ethnic subpopulations using scientifically appropriate validated methodologies for rigorous quality control; and 4) develop validated databases as needed to disseminate nationally representative estimates for means and variability for foods and bioactive food components in dietary supplements. Analytical data generated through the NFNAP are compiled and released in annual updates of the USDA National Nutrient Database for Standard Reference (SR). They are also used to calculate estimates for related foods not analyzed, to assess nutrient variability, and to evaluate methods for estimating the nutrient content of multi-ingredient foods. These data will be used by the Food Surveys Research Group (FSRG), Agricultural Research Service (ARS) to develop the Food and Nutrient Dataset for Dietary Surveys used in the “What We Eat in America” (WWEIA) component of NHANES. Additionally these USDA generated data form the major underpinnings of all nutrient analysis programs used in U.S. clinical care and nutrition research settings, as well as other Federal nutrition programs.