scholarly journals Challenges and Application of IngID, a Framework for Parsing and Systematic Reporting of Ingredients Used in Commercially Packaged Foods

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 600-600
Author(s):  
Quynhanh Nguyen ◽  
Ying Li ◽  
Jaspreet Ahuja ◽  
Pamela Pehrsson

Abstract Objectives The purpose is to describe the IngID's challenges and application of the development process. Methods Ingredient lists were mainly obtained from BFPD for top sellers of each food category. Manufacturer's and third-party websites were used if the ingredients from BFPD were not available. Ingredient lists were then compiled and parsed using a custom program in R, a software application. The program identified unmatched parentheses where numbers of open and closed parentheses were not matched. Another step involved in parsing ingredients from ingredient lists on the labels was manually developing replacement files for ingredient clarification. After parsing and assigning preferred descriptors (PDs), the PDs were then assigned Broader Term (BT) based on types or functions such as sweeteners, pertinent to specific research questions. Results Challenges during the process included missing parentheses and complicated ingredient lists especially in Frozen and Refrigerated Entrees and Snack bars categories. There were ∼710 ingredient lists in these 3 categories with unmatched parentheses. Assigning BTs could be difficult as one PD can be assigned different BTs; potato starch could be assigned as a starch, stabilizer, or thickener. An example of IngID's application was assigning BTs for types of sweeteners. There were 101 different sweeteners which were assigned to 4 different BTs: nutritive and non-nutritive sweeteners, reduced-calorie sweeteners, and fruit-juice concentrates. Conclusions The IngID program is still evolving, especially with respect to automation of some of the pre-processing steps to save time and avoid human errors. Once fully developed, IngID will help identify and report commercial ingredients, and will be useful for developing artificial intelligence tools, research, and food ontology. Funding Sources Agricultural Research Service, U.S. Department of Agriculture.

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 402-402
Author(s):  
James Harnly ◽  
Craig Charron ◽  
David Baer ◽  
Janet Novotny

Abstract Objectives To determine the impact of garlic on the metabolic profile of urine. Methods On the first day 17 fasting subjects were fed a breakfast of bread and butter. Urines were collected before and 3 hours after the meal. On a second day, the same 17 fasting subjects were fed a meal of bread, butter, and garlic. Urines were again collected before and 3 hours after the meal. Samples were analyzed by metabolomics using liquid chromatography-mass spectrometry (LC-MS) and data were subjected to analysis of variance-principal component analysis (ANOVA-PCA). Results 637 compounds were found in the urines and 277 were identified. PCA of urine profiles were dominated by variation between individual. Removal of individual variance by ANOVA allowed differentiation of fasting urines from bread and butter urines from bread, butter, and garlic urines. PCA loadings identified compounds that led to discrimination between treatments. Influence of the loading identified compounds were verified by examination of the LC-MS data for individual compounds. Three unique sulfur containing compounds were identified. Loadings showed, however, that a change in the metabolite profiles (ratios of compounds) and not the unique compounds) were most informative. Conclusions Removal of variance between individuals is essential to properly analyze the data. Changes in the patterns of compounds routinely observed in urine were the major result of the garlic meal. ANOVA-PCA is an excellent tool for isolating experimental factors. Funding Sources Agricultural Research Service, US Department of Agriculture and Office of Dietary Supplements, National Institutes of Health.


2020 ◽  
Vol 31 (3) ◽  
pp. 113-114
Author(s):  
Nelson Laville ◽  
Kenrick Witty ◽  
Ulises Garcia

The Beyond Compliance Global team held an interview by video link with Dr Eric Jang, United States Department of Agriculture, Agricultural Research Service (USDA/ARS), now retired. His lab was based in Hawaii, where he continues to reside. Eric was an early advocate and one of the originators of the concepts for Systems Approach.


HortScience ◽  
2018 ◽  
Vol 53 (11) ◽  
pp. 1560-1561 ◽  
Author(s):  
Lisa L. Baxter ◽  
Brian M. Schwartz

Bermudagrass (Cynodon spp.) is the foundation of the turfgrass industry in most tropical and warm-temperate regions. Development of bermudagrass as a turfgrass began in the early 1900s. Many of the cultivars commercially available today have been cooperatively released by the U.S. Department of Agriculture Agricultural Research Service (USDA-ARS) and the University of Georgia at the Coastal Plain Experiment Station in Tifton, GA.


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