Progress 10/01/23 to 09/30/24
Outputs
PROGRESS REPORT Objectives (from AD-416): The project has four objectives to provide the research infrastructure necessary to address major questions in food composition, assessment of food and nutrient intake, and research diet design for humans participating in studies addressing the impact of food and its components on biological outcomes: Objective 1. Develop and implement plans for obtaining analytical data for foods to be included in USDA FoodData Central. [Component 2, Problem Statement 2A] Objective 2. Establish links between datasets/data types to enable research relating to food composition to nutrition and food industry/ agricultural practices. [Component 1, Problem Statement 1A] Objective 3. Design and implement research diets based on study specifications for human volunteers participating in CRIS project plans. [Component 3, Problem Statement 3B] Objective 4. Implement information technology advances to enhance transparency and functionality of databases and related data science research. [Component 2, Problem Statement 2A] Approach (from AD-416): USDA FoodData Central (FDC) is the center of the USDA-based food composition information web. It is an integrated data system that presently provides�in one place�five distinct types of data containing information on food and nutrient profiles. Each data type has a unique purpose. The Human Studies Facility (HSF) serves to design and implement research diets based on study specifications for human volunteers as part of CRIS project plans and to assist in the acquisition and preparation of foods for analysis for inclusion in FDC. The approach for each objective is as follows: 1. Working group of food scientists, nutritionists, analytical chemists, data scientists, and stakeholders will establish plans for selecting, prioritizing, and analyzing foods to be included in FoodData Central. 2. Informaticians and nutrition/food scientists will design and maintain datasets in FDC and establish links within FDC and with external databases to enable research relating food components to nutrition and food industry/agricultural practices. 3. Together with scientists conducting human research studies, HSF staff will design, prepare and implement research diets based on the study specifications and assist in the analyses of the diet composition. 4. Scientists and IT specialists will employ state-of-the-art technology to enhance transparency and functionality of databases and support data science research. New versions of FoodData Central (FDC) were released to the public in April and October 2024. The Human Studies Facility (HSF), in support of Beltsville Human Nutrition Research Center (BHNRC) scientists engaged in conducting research in human volunteers, enabled resumption of dietary studies after the hiatus imposed by the COVID Pandemic. HSF also played a critical role in a collaborative project with the USDA Food and Nutrition Service to acquire and determine food yields of specific foods, including indigenous foods. The data were incorporated into the Food Buying Guide for the U.S. Child Nutrition Program and used by school lunch programs for planning and purchasing. One of the objectives for Food Health of People and the Environment Laboratory (FHPEL) is to train the next generation of food data scientists and to implement new methodologies in data management for FDC. Receiving a SciNET award in support of a data science student and an ARS Innovation Fund award to support ontology development exemplify success in development and training. A major responsibility of FHPEL is to update and develop the USDA FoodData Central, an integrated data system that provides expanded information on food, its components and links to agricultural and experimental research. FDC�s 5th anniversary was celebrated with a webinar with distinguished speakers on 29 April 2024. Since release, the FDC website has had more than 9 million unique users with approximately 45% of them being international. Increase in users has tripled since 2019 and continues to grow. FDC�s Application Programming Interface (API) remains in the #1 spot amongst USDA datasets on data.gov. Artificial Intelligence (AI)/Machine Learning (ML) SciNet intern applying AI/ML to project utlizing FDC: The AI-COE/SCINet graduate intern used machine learning and statistical analysis to compare the analytical food composition of Foundation Food samples analyzed by USDA�s traditional methods with the same food samples analyzed by the Periodic Table of Food Initiative (PTFI) and their standardized platforms. The USDA SCINet platform was used to perform these statistical analyses. The project results in a deeper understanding of how the resulting data from the USDA and PTFI platforms differ, informing the presentation of PTFI data in a future version of FoodData Central.
Impacts
(N/A)
Publications
- Kim, B.F., Lupolt, S.N., Santo, R.E., Bachman, G., Zhu, X., Yang, T., Fukagawa, N.K., Richardson, M.L., Green, C.E., Phillips, K.M., Nachman, K. E. 2024. Nutrients and non-essential metals in darkibor kale grown at urban and rural farms. PLOS ONE. 19(4). https://doi.org/10.1371/journal. pone.0296840.
- Cheang, S.E., Jiang, J., Suarez, C., Weng, C., Couture, G., Bacalzo, N.P., Phillips, K.M., Fukagawa, N.K., Lebrilla, C.B. 2024. Combined Alcohol Soluble Carbohydrate Determination (CASCADE) of food. ACS Food Science and Technology. https://doi.org/10.1021/acsfoodscitech.3c00641.
- Jetton TL, Galbraith OT, Peshavaria M, Bonney EA, Holmen BA, Fukagawa NK. Sex-specific metabolic adaptations from in utero exposure to particulate matter derived from combustion of petrodiesel and biodiesel fuels. Chemosphere 346 (2024) 140480. Online 23 October 2023. https://doi.org/10. 1016/j.chemosphere.2023.140480.
- O'Connor, L.E., Higgins, K.A., Smiljanec, K., Bergia, R., Brown, A., Baer, D.J., Davis, C.D., Ferruzzi, M., Miller, K., Rowe, S., Rueda, J., Andres, A., Cash, S.B., Coupland, J., Crimmins, M., Fiecke, C., Forde, C.G., Fukagawa, N.K., Hall, K., Hamaker, B., Herrick, K.A., Hess, J.M., Heuven, L.A., Juul, F., Malcomson, F.C., Martinez-Steele, E., Mattes, R.D., Messina, M., Mitchell, A., Zhang, F. 2023. A research roadmap about processed foods, food processing, and human health in the context of the US food system: Proceedings from an interdisciplinary workshop. Advances in Nutrition. 14(16):1255-1269. https://doi.org/10.1016/j.advnut.2023.09. 005.
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Progress 10/01/22 to 09/30/23
Outputs
PROGRESS REPORT Objectives (from AD-416): The project has four objectives to provide the research infrastructure necessary to address major questions in food composition, assessment of food and nutrient intake, and research diet design for humans participating in studies addressing the impact of food and its components on biological outcomes: Objective 1. Develop and implement plans for obtaining analytical data for foods to be included in USDA FoodData Central. [Component 2, Problem Statement 2A] Objective 2. Establish links between datasets/data types to enable research relating to food composition to nutrition and food industry/ agricultural practices. [Component 1, Problem Statement 1A] Objective 3. Design and implement research diets based on study specifications for human volunteers participating in CRIS project plans. [Component 3, Problem Statement 3B] Objective 4. Implement information technology advances to enhance transparency and functionality of databases and related data science research. [Component 2, Problem Statement 2A] Approach (from AD-416): USDA FoodData Central (FDC) is the center of the USDA-based food composition information web. It is an integrated data system that presently provides�in one place�five distinct types of data containing information on food and nutrient profiles. Each data type has a unique purpose. The Human Studies Facility (HSF) serves to design and implement research diets based on study specifications for human volunteers as part of CRIS project plans and to assist in the acquisition and preparation of foods for analysis for inclusion in FDC. The approach for each objective is as follows: 1. Working group of food scientists, nutritionists, analytical chemists, data scientists, and stakeholders will establish plans for selecting, prioritizing, and analyzing foods to be included in FoodData Central. 2. Informaticians and nutrition/food scientists will design and maintain datasets in FDC and establish links within FDC and with external databases to enable research relating food components to nutrition and food industry/agricultural practices. 3. Together with scientists conducting human research studies, HSF staff will design, prepare and implement research diets based on the study specifications and assist in the analyses of the diet composition. 4. Scientists and IT specialists will employ state-of-the-art technology to enhance transparency and functionality of databases and support data science research. The Food for Health of People and the Environment Laboratory (FHPEL) is a new unit that was established under the Beltsville Human Nutrition Center (BHNRC) in October of 2023. Foods for the October 2023 release of FoodData Central are being collected, processed and analyzed. New human studies protocol is in progress (second since the Pandemic) and human volunteers are being screened and recruited.
Impacts
(N/A)
Publications
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