PDF(Pubmed)
Abstract：
UNASSIGNED: Nutrient profiling (NP) models designed to evaluate the healthfulness of plant-based foods ought to incorporate bioactive phytochemicals. Herbs and spices are one food group of current interest.
UNASSIGNED: Two new versions of the well-established Nutrient Rich Food (NRF) index were applied to spices, herbs, vegetables, fruit, and other plant-based foods. Analyses used the US Department of Agriculture (USDA) SR-28 nutrient composition database merged with the USDA Expanded Flavonoid database 3.3. The NRF4.3 model was based on protein, fiber, potassium, and vitamin C. The NRFa11.3 model was based on micronutrients with reported antioxidant activity (vitamin C, vitamin E, selenium, copper, and zinc), carotenoids (alpha and beta carotene, beta-cryptoxanthin, lycopene, lutein/zeaxantin) and flavonoids. Saturated fat, added sugar, and sodium were nutrients to limit. The NRF algorithm was based on sums of percent daily values (%DVs) capped at 100%.
UNASSIGNED: The NRF4.3 model awarded high scores to herbs and spices, cocoa powder, and nuts, but did not discriminate well among vegetables and fruit. The NRFa11.3 model performed better. Green leafy, red orange and cruciferous vegetables had the highest carotenoid content. Highest in flavonoids were cocoa powder, herbs and spices, and berries. Highest combined NRFa11.3 values were observed for herbs and spices, green leafy vegetables, cocoa, nuts, and red-orange and cruciferous vegetables.
UNASSIGNED: Fresh and dry herbs and spices, often ignored by NP models, were particularly nutrient-rich and may provide non-negligible amounts of key phytonutrients to the human diet.
UNASSIGNED: Two new versions of the well-established Nutrient Rich Food (NRF) index were applied to spices, herbs, vegetables, fruit, and other plant-based foods. Analyses used the US Department of Agriculture (USDA) SR-28 nutrient composition database merged with the USDA Expanded Flavonoid database 3.3. The NRF4.3 model was based on protein, fiber, potassium, and vitamin C. The NRFa11.3 model was based on micronutrients with reported antioxidant activity (vitamin C, vitamin E, selenium, copper, and zinc), carotenoids (alpha and beta carotene, beta-cryptoxanthin, lycopene, lutein/zeaxantin) and flavonoids. Saturated fat, added sugar, and sodium were nutrients to limit. The NRF algorithm was based on sums of percent daily values (%DVs) capped at 100%.
UNASSIGNED: The NRF4.3 model awarded high scores to herbs and spices, cocoa powder, and nuts, but did not discriminate well among vegetables and fruit. The NRFa11.3 model performed better. Green leafy, red orange and cruciferous vegetables had the highest carotenoid content. Highest in flavonoids were cocoa powder, herbs and spices, and berries. Highest combined NRFa11.3 values were observed for herbs and spices, green leafy vegetables, cocoa, nuts, and red-orange and cruciferous vegetables.
UNASSIGNED: Fresh and dry herbs and spices, often ignored by NP models, were particularly nutrient-rich and may provide non-negligible amounts of key phytonutrients to the human diet.
摘要：
■旨在评估植物性食品健康性的营养分析（NP）模型应纳入生物活性植物化学物质。草药和香料是当前感兴趣的一类食物。
■将完善的营养丰富食品（NRF）指数的两个新版本应用于香料，草药,蔬菜,水果,和其他植物性食品。分析使用美国农业部（USDA）SR-28营养成分数据库与USDA扩展的类黄酮数据库3.3合并。NRF4.3模型基于蛋白质，纤维,钾，和维生素C。NRFa11.3模型基于具有报道的抗氧化活性的微量营养素（维生素C，维生素E,硒,铜，和锌)，类胡萝卜素（α和β胡萝卜素，β-隐黄质,番茄红素,叶黄素/zeaxantin）和类黄酮。饱和脂肪,加糖,钠是限制的营养素。NRF算法基于上限为100%的百分日值(%DV)的总和。
■NRF4.3模型对草药和香料给予了高分，可可粉,和坚果，但不能很好地区分蔬菜和水果。NRFa11.3模型表现更好。绿叶，红橙和十字花科蔬菜类胡萝卜素含量最高。类黄酮含量最高的是可可粉,草药和香料，和浆果。观察到草药和香料的最高组合NRFa11.3值，绿叶蔬菜,可可,坚果,和红橙色和十字花科蔬菜。
■新鲜和干燥的草药和香料，经常被NP模型忽略，营养特别丰富，可能为人类饮食提供不可忽视的关键植物营养素。
■将完善的营养丰富食品（NRF）指数的两个新版本应用于香料，草药,蔬菜,水果,和其他植物性食品。分析使用美国农业部（USDA）SR-28营养成分数据库与USDA扩展的类黄酮数据库3.3合并。NRF4.3模型基于蛋白质，纤维,钾，和维生素C。NRFa11.3模型基于具有报道的抗氧化活性的微量营养素（维生素C，维生素E,硒,铜，和锌)，类胡萝卜素（α和β胡萝卜素，β-隐黄质,番茄红素,叶黄素/zeaxantin）和类黄酮。饱和脂肪,加糖,钠是限制的营养素。NRF算法基于上限为100%的百分日值(%DV)的总和。
■NRF4.3模型对草药和香料给予了高分，可可粉,和坚果，但不能很好地区分蔬菜和水果。NRFa11.3模型表现更好。绿叶，红橙和十字花科蔬菜类胡萝卜素含量最高。类黄酮含量最高的是可可粉,草药和香料，和浆果。观察到草药和香料的最高组合NRFa11.3值，绿叶蔬菜,可可,坚果,和红橙色和十字花科蔬菜。
■新鲜和干燥的草药和香料，经常被NP模型忽略，营养特别丰富，可能为人类饮食提供不可忽视的关键植物营养素。
